ДНК-связывающие белки системы арбитриум бактериофага vB_BtS_B83

Πηγή: VII Пущинская конференция «Биохимия, физиология и биосферная роль микроорганизмов», шко- ла-конференция для молодых ученых, аспирантов и студентов «Генетические технологии в микробио- логии и микробное разнообразие».

Θεματικοί όροι: арбитриум, лизогения, бактериофаги, ДНК, пептид, промотор

LTTR-зависимый промотор sgp-оперона функционирует в отсутствии транскрипционного активатора и эффектора

Πηγή: Школа-конференция молодых ученых, аспирантов и студентов «Генетические технологии в микробиологии и микробное разнообразие».

Θεματικοί όροι: направленный мутагенез, гомологичная рекомбинация, Pseudomonas, РНК-полимераза, салицилат, регуляция экспрессии генов, промотор

Измерение эффективности терминаторов транскрипции в Rhodococcus с помощью флуоресцентных репортёров

Συγγραφείς: Шемякина, A.O.

Πηγή: VIII Пущинская конференция «Биохимия, физиология и биосферная роль микроорганизмов».

Θεματικοί όροι: БИОРЕМЕДИАЦИЯ, ФЛУОРЕСЦЕНТНЫЕ РЕПОРТЁРЫ, ЭКСПРЕССИЯ ГЕНОВ, ПРОМОТОР, ТЕРМИНАТОРЫ ТРАНСКРИПЦИИ, РОДОКОККИ

In vitro анализ трансляционной регуляции холин-эндолизинового оперона бактериофага Т5

Πηγή: IX Всероссийская Пущинская конференция «Биохимия, физиология и биосферная роль микроорганизмов».

Θεματικοί όροι: трансляция, транскрипция, эндолизин, холин, промотор

Candidate SNP markers of changes in the expression levels of the human SCN9A gene as a hub gene for pain generation, perception, response and anesthesia ; Кандидатные SNP-маркеры изменения экспрессии гена SCN9A человека в качестве интегратора генерации, чувства, ответа на боль и анестезии

Συγγραφείς: P. A. Dotsenko, K. A. Zolotareva, R. A. Ivanov, I. V. Chadaeva, N. L. Podkolodnyy, V. A. Ivanisenko, P. S. Demenkov, S. A. Lashin, M. P. Ponomarenko, П. А. Доценко, К. А. Золотарева, Р. А. Иванов, И. В. Чадаева, Н. Л. Подколодный, В. А. Иванисенко, П. С. Деменков, С. А. Лашин, М. П. Пономаренко

Συνεισφορές: This work was funded by the Russian Federal Science and Technology Program for the Development of Genetic Technologies. The authors are grateful to the Shared Center “Bioinformatics” for access to computing resources under Budget Project FWNR-2022-0020.

Πηγή: Vavilov Journal of Genetics and Breeding; Том 28, № 8 (2024); 808-821 ; Вавиловский журнал генетики и селекции; Том 28, № 8 (2024); 808-821 ; 2500-3259 ; 10.18699/vjgb-24-88

Θεματικοί όροι: анестезия, TBP, SNP, promoter, hub gene, SCN9A, expression change, pain generation, pain perception, pain response, anesthesia, ТВР, промотор, ген-интегратор, изменение экспрессии, генерация боли, чувство боли, ответ на боль

Περιγραφή αρχείου: application/pdf

Relation: https://vavilov.elpub.ru/jour/article/view/4403/1888; Genomes Project Consortium; Abecasis G.R., Auton A., Brooks L.D., DePristo M.A., Durbin R.M., Handsaker R.E., Kang H.M., Marth G.T., McVean G.A. An integrated map of genetic variation from 1,092 human genomes. Nature. 2012;491(7422):56-65. doi 10.1038/nature11632; Baker M.D., Nassar M.A. Painful and painless mutations of SCN9A and SCN11A voltage-gated sodium channels. Pflugers Arch. 2020; 472(7):865-880. doi 10.1007/s00424-020-02419-9; Bell E.A., Boehnke P., Harrison T.M., Mao W.L. Potentially biogenic carbon preserved in a 4.1 billion-year-old zircon. Proc. Natl. Acad. Sci. USA. 2015;112(47):14518-14521. doi 10.1073/pnas.1517557112; Bennett D.L., Woods C.G. Painful and painless channelopathies. Lancet Neurol. 2014;13(6):587-599. doi 10.1016/S1474-4422(14)70024-9; Brown G.R., Hem V., Katz K.S., Ovetsky M., Wallin C., Ermolaeva O., Tolstoy I., Tatusova T., Pruitt K.D., Maglott D.R., Murphy T.D. Gene: a gene-centered information resource at NCBI. Nucleic Acids Res. 2015;43(D1):D36-D42. doi 10.1093/nar/gku1055; Chae K.S., Ko G.Y., Dryer S.E. Tyrosine phosphorylation of cGMPgated ion channels is under circadian control in chick retina photoreceptors. Invest. Ophthalmol. Vis. Sci. 2007;48(2):901-906. doi 10.1167/iovs.06-0824; Chatterjee H.J., Ho S.Y., Barnes I., Groves C. Estimating the phylogeny and divergence times of primates using a supermatrix approach. BMC Evol. Biol. 2009;9:259. doi 10.1186/1471-2148-9-259; Cregg R., Cox J.J., Bennett D.L., Wood J.N., Werdehausen R. Mexiletine as a treatment for primary erythromelalgia: normalization of biophysical properties of mutant L858F NaV1.7 sodium channels. Br. J. Pharmacol. 2014;171(19):4455-4463. doi 10.1111/bph.12788; Cui J.H., Kim W.M., Lee H.G., Kim Y.O., Kim C.M., Yoon M.H. Antinociceptive effect of intrathecal cannabinoid receptor agonist WIN 55,212-2 in a rat bone tumor pain model. Neurosci. Lett. 2011; 493(3):67-71. doi 10.1016/j.neulet.2010.12.052; Dabby R. Pain disorders and erythromelalgia caused by voltage-gated sodium channel mutations. Curr. Neurol. Neurosci. Rep. 2012;12(1): 76-83. doi 10.1007/s11910-011-0233-8; Datta P.M. Earliest mammal with transversely expanded upper molar from the Late Triassic (Carnian) Tiki formation, South Rewa Gondwana Basin, India. J. Vertebr. Paleontol. 2005;25(1):200-207. doi 10.1671/0272-4634(2005)025[0200:EMWTEU]2.0.CO;2; Day I.N. dbSNP in the detail and copy number complexities. Hum. Mutat. 2010;31(1):2-4. doi 10.1002/humu.21149; Dib-Hajj S.D., Cummins T.R., Black J.A., Waxman S.G. From genes to pain: Nav1.7 and human pain disorders. Trends Neurosci. 2007; 30(11):555-463. doi 10.1016/j.tins.2007.08.004; Diogo R. The Origin of Higher Clades: Osteology, Myology, Phylo geny and Evolution of Bony Fishes and the Rise of Tetrapods. NY: CRC Press, 2007. doi 10.1201/9780429063978; Drenth J.P., Waxman S.G. Mutations in sodium-channel gene SCN9A cause a spectrum of human genetic pain disorders. J. Clin. Invest. 2007;117(12):3603-3609. doi 10.1172/JCI33297; Dunn R.H., Rose K.D., Rana R.S., Kumar K., Sahni A., Smith T. New euprimate postcrania from the early Eocene of Gujarat, India, and the strepsirrhine-haplorhine divergence. J. Hum. Evol. 2016;99: 25-51. doi 10.1016/j.jhevol.2016.06.006; Eijkenboom I., Sopacua M., Otten A.B.C., Gerrits M.M., Hoeijma kers J.G.J., Waxman S.G., Lombardi R., Lauria G., Merkies I.S.J., Smeets H.J.M., Faber C.G., Vanoevelen J.M.; PROPANE Study Group. Expression of pathogenic SCN9A mutations in the zebrafish: a model to study small-fiber neuropathy. Exp. Neurol. 2019;311: 257-264. doi 10.1016/j.expneurol.2018.10.008; Filonov S.V., Podkolodnyy N.L., Podkolodnaya O.A., Tverdokhleb N.N., Ponomarenko P.M., Rasskazov D.A., Bogomolov A.G., Ponomarenko M.P. Human_SNP_TATAdb: a database of SNPs that statistically significantly change the affinity of the TATA-binding protein to human gene promoters: genome-wide analysis and use cases. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov Journal of Genetics and Breeding. 2023;27(7):728-736. doi 10.18699/VJGB23-85; Garate J., Maimo-Barcelo A., Bestard-Escalas J., Fernandez R., Pe rez-Romero K., Martinez M.A., Payeras M.A., Lopez D.H., Fernandez J.A., Barcelo-Coblijn G. A drastic shift in lipid adducts in colon cancer detected by MALDI-IMS exposes alterations in specific K+ channels. Cancers (Basel). 2021;13(6):1350. doi 10.3390/cancers13061350; Gene Ontology Consortium. Gene Ontology Consortium: going forward. Nucleic Acids Res. 2015;43(D1):D1049-1056. doi 10.1093/nar/gku1179; Grieco T.M., Afshari F.S., Raman I.M. A role for phosphorylation in the maintenance of resurgent sodium current in cerebellar purkinje neurons. J. Neurosci. 2002;22(8):3100-3107. doi 10.1523/jneurosci.22-08-03100.2002; Haldane J.B.S. The cost of natural selection. J. Genet. 1957;55:511-524. doi 10.1007/bf02984069; Harrison T. Catarrhine origins. In: A Companion to Paleoanthropology. NY: Blackwell Publ. Ltd., 2013;376-396; Hey J. The ancestor’s tale A pilgrimage to the dawn of evolution. J. Clin. Invest. 2005;115(7):1680. doi 10.1172/JCI25761; Hisama F.M., Dib-Hajj S.D., Waxman S.G. SCN9A Neuropathic pain syndromes. 2006 May 6 [Updated 2020 Jan 23]. In: GeneReviews®. [Internet]. Seattle (WA): Univ. of Washington, Seattle; 1993-2024. Available from: https://www.ncbi.nlm.nih.gov/books/NBK1163/; Hoeijmakers J.G., Merkies I.S., Gerrits M.M., Waxman S.G., Faber C.G. Genetic aspects of sodium channelopathy in small fiber neuropathy. Clin. Genet. 2012;82(4):351-358. doi 10.1111/j.1399-0004.2012.01937.x; Holland L.Z., Holland N.D. Chordate origins of the vertebrate central nervous system. Curr. Opin. Neurobiol. 1999;9(5):596-602. doi 10.1016/S0959-4388(99)00003-3; Ivanisenko V.A., Saik O.V., Ivanisenko N.V., Tiys E.S., Ivanisenko T.V., Demenkov P.S., Kolchanov N.A. ANDSystem: an Associative Network Discovery System for automated literature mining in the field of biology. BMC Syst. Biol. 2015;9(Suppl.2):S2. doi 10.1186/1752-0509-9-S2-S2; Iyer V., Edelman E.R., Lilly L.S. Basic cardiac structure and function. In: Pathophysiology of Heart Disease. Baltimore: Lippincott Williams & Wilkins, 2007;1-28; Kanehisa M., Goto S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000;28(1):27-30. doi 10.1093/nar/28.1.27; Kasowski M., Grubert F., Heffelfinger C., Hariharan M., Asabere A., Waszak S.M., Habegger L., Rozowsky J., Shi M., Urban A.E., Hong M.Y., Karczewski K.J., Huber W., Weissman S.M., Gerstein M.B., Korbel J.O., Snyder M. Variation in transcription factor binding among humans. Science. 2010;328(5975):232-235. doi 10.1126/science.1183621; Kerth C.M., Hautvast P., Korner J., Lampert A., Meents J.E. Phosphorylation of a chronic pain mutation in the voltage-gated sodium channel Nav1.7 increases voltage sensitivity. J. Biol. Chem. 2021; 296:100227. doi 10.1074/jbc.RA120.014288; Kim D.T., Rossignol E., Najem K., Ospina L.H. Bilateral congenital corneal anesthesia in a patient with SCN9A mutation, confirmed primary erythromelalgia, and paroxysmal extreme pain disorder. J. AAPOS. 2015;19(5):478-479. doi 10.1016/j.jaapos.2015.05.015; Kimura M. Evolutionary rate at the molecular level. Nature. 1968; 217(5129):624-626. doi 10.1038/217624a0; Klein A.A., Meek T., Allcock E., Cook T.M., Mincher N., Morris C., Nimmo A.F., Pandit J.J., Pawa A., Rodney G., Sheraton T., Young P. Recommendations for standards of monitoring during anaesthesia and recovery 2021: Guideline from the Association of Anaesthetists. Anaesthesia. 2021;76(9):1212-1223. doi 10.1111/anae.15501; Kumar V., Hallstrom B.M., Janke A. Coalescent-based genome analyses resolve the early branches of the euarchontoglires. PLoS One. 2013;8(4):e60019. doi 10.1371/journal.pone.0060019; Kwak S.G., Kim J.H. Central limit theorem: the cornerstone of modern statistics. Korean J. Anesthesiol. 2017;70(2):144-156. doi 10.4097/kjae.2017.70.2.144; Landrum M.J., Lee J.M., Riley G.R., Jang W., Rubinstein W.S., Church D.M., Maglott D.R. ClinVar: public archive of relationships among sequence variation and human phenotype. Nucleic Acids Res. 2014;42(D1):D980-D985. doi 10.1093/nar/gkt1113; Leander B.S. Predatory protists. Curr. Biol. 2020;30(10):R510-R516. doi 10.1016/j.cub.2020.03.052; Lowy-Gallego E., Fairley S., Zheng-Bradley X., Ruffier M., Clarke L., Flicek P.; 1000 Genomes Project Consortium. Variant calling on the GRCh38 assembly with the data from phase three of the 1000 Genomes Project. Wellcome Open Res. 2019;4:50. doi 10.12688/wellcomeopenres.15126.2; Lu Z. PubMed and beyond: a survey of web tools for searching bio medical literature. Database (Oxford). 2011;2011:baq036. doi 10.1093/database/baq036; Lucas D.N., Russell R., Bamber J.H., Elton C.D. Recommendations for standards of monitoring during anaesthesia and recovery 2021. Anaesthesia. 2021;76(10):1426-1427. doi 10.1111/anae.15528; Luo Z.X., Yuan C.X., Meng Q.J., Ji Q. A Jurassic eutherian mammal and divergence of marsupials and placentals. Nature. 2011; 476(7361):442-445. doi 10.1038/nature10291; Maloof A.C., Porter S.M., Moore J.L., Dudas F.O., Bowring S.A., Higgins J.A., Fike D.A., Eddy M.P. The earliest Cambrian record of animals and ocean geochemical change. Geol. Soc. Am. Bull. 2010a;122(11-12):1731-1774. doi 10.1130/B30346.1; Maloof A.C., Rose C.V., Beach R., Samuels B.M., Calmet C.C., Erwin D.H., Poirier G.R., Yao N., Simons F.J. Possible animal-body fossils in pre-Marinoan limestones from South Australia. Nat. Geosci. 2010b;3:653-659. doi 10.1038/ngeo934; Mi H., Ebert D., Muruganujan A., Mills C., Albou L.P., Mushaya maha T., Thomas P.D. PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API. Nucleic Acids Res. 2021;49(D1):D394-D403. doi 10.1093/nar/gkaa1106; Morozova O.V., Alekseeva A.E., Sashina T.A., Brusnigina N.F., Epifanova N.V., Kashnikov A.U., Zverev V.V., Novikova N.A. Phylodynamics of G4P[8] and G2P[4] strains of rotavirus A isolated in Russia in 2017 based on full-genome analyses. Virus Genes. 2020; 56(5):537-545. doi 10.1007/s11262-020-01771-3; Mustafin Z., Mukhin A., Afonnikov D., Matushkin Y., Lashin S. OrthoWeb – web application for macro- and microevolutionary analysis of genes. In: Bioinformatics of Genome Regulation and Structure/Systems Biology (BGRS/SB-2020). Novosibirsk, 2020; 228-229. doi 10.18699/BGRS/SB-2020-145; Ogata G., Partida G.J., Fasoli A., Ishida A.T. Calcium/calmodulin-dependent protein kinase II associates with the K+ channel isoform Kv4.3 in adult rat optic nerve. Front. Neuroanat. 2022;16:958986. doi 10.3389/fnana.2022.958986; Palomes-Borrajo G., Badia J., Navarro X., Penas C. Nerve excitabi lity and neuropathic pain is reduced by BET protein inhibition after spared nerve injury. J. Pain. 2021;22(12):1617-1630. doi 10.1016/j.jpain.2021.05.005; Ponomarenko M., Rasskazov D., Arkova O., Ponomarenko P., Suslov V., Savinkova L., Kolchanov N. How to use SNP_TATA_Comparator to find a significant change in gene expression caused by the regulatory SNP of this gene’s promoter via a change in affinity of the TATA-binding protein for this promoter. Biomed. Res. Int. 2015; 2015:359835. doi 10.1155/2015/359835; Raja S.N., Carr D.B., Cohen M., Finnerup N.B., Flor H., Gibson S., Keefe F.J., Mogil J.S., Ringkamp M., Sluka K.A., Song X.J., Stevens B., Sullivan M.D., Tutelman P.R., Ushida T., Vader K. The revised International Association for the Study of Pain definition of pain: concepts, challenges, and compromises. Pain. 2020;161(9): 1976-1982. doi 10.1097/j.pain.0000000000001939; Raney B.J., Barber G.P., Benet-Pagès A., Casper J., Clawson H., Cline M.S., Diekhans M., Fischer C., Navarro Gonzalez J., Hi ckey G., Hinrichs A.S., Kuhn R.M., Lee B.T., Lee C.M., Le Mer cier P., Miga K.H., Nassar L.R., Nejad P., Paten B., Perez G., Schmel ter D., Speir M.L., Wick B.D., Zweig A.S., Haussler D., Kent W.J., Haeussler M. The UCSC Genome Browser database: 2024 update. Nucleic Acids Res. 2024;52(D1):D1082-D1088. doi 10.1093/nar/gkad987; Renthal W. Pain genetics. In: Rosenberg R.N., Pascual J.M. (Eds) Rosenberg’s Molecular and Genetic Basis of Neurological and Psychiatric Disease. Amsterdam: Elsevier, 2020;397-410. doi 10.1016/b978-0-12-813866-3.00023-0; Samet H. A top-down quadtree traversal algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 1985;7(1):94-98. doi 10.1109/tpami.1985.4767622; Scerri E.M.L., Thomas M.G., Manica A., Gunz P., Stock J.T., Strin ger C., Grove M., Groucutt H.S., Timmermann A., Rightmire G.P., d’Errico F., Tryon C.A., Drake N.A., Brooks A.S., Dennell R.W., Durbin R., Henn B.M., Lee-Thorp J., deMenocal P., Petraglia M.D., Thompson J.C., Scally A., Chikhi L. Did our species evolve in subdivided populations across Africa, and why does it matter? Trends Ecol. Evol. 2018;33(8):582-594. doi 10.1016/j.tree.2018.05.005; Schrenk F., Kullmer O., Bromage T. The earliest putative homo fossils. In: Henke W., Tattersall I. (Eds) Handbook of Paleoanthropology. Berlin: Springer, 2014;1-19. doi 10.1007/978-3-540-33761-4_52; Shao J., Cao J., Wang J., Ren X., Su S., Li M., Li Z., Zhao Q., Zang W. MicroRNA-30b regulates expression of the sodium channel Nav1.7 in nerve injury-induced neuropathic pain in the rat. Mol. Pain. 2016; 12:1744806916671523. doi 10.1177/1744806916671523; Sherman B.T., Hao M., Qiu J., Jiao X., Baseler M.W., Lane H.C., Imamichi T., Chang W. DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update). Nucleic Acids Res. 2022;50(W1):W216-W221. doi 10.1093/nar/gkac194; Shields S.D., Deng L., Reese R.M., Dourado M., Tao J., Foreman O., Chang J.H., Hackos D.H. Insensitivity to pain upon adult-onset deletion of Nav1.7 or its blockade with selective inhibitors. J. Neurosci. 2018;38(47):10180-10201. doi 10.1523/jneurosci.1049-18.2018; Shu D.-G., Luo H.-L., Conway-Morris S., Zhang X.-L., Hu S.-X., Chen L., Han J., Zhu M., Li Y., Chen L.-Z. Lower Cambrian vertebrates from south China. Nature. 1999;402(6757):42-46. doi 10.1038/46965; Shuyuan L., Haoyu C. Mechanism of Nardostachyos Radix et Rhizoma–Salidroside in the treatment of premature ventricular beats based on network pharmacology and molecular docking. Sci. Rep. 2023;13(1):20741. doi 10.1038/s41598-023-48277-0; Sokolov M.V., Henrich-Noack P., Raynoschek C., Franzen B., Larsson O., Main M., Dabrowski M. Co-expression of β subunits with the voltage-gated sodium channel NaV1.7: the importance of subunit association and phosphorylation and their effects on channel pharmacology and biophysics. J. Mol. Neurosci. 2018;65(2):154-166. doi 10.1007/s12031-018-1082-6; Song P., Yang Y., Barnes-Davies M., Bhattacharjee A., Hamann M., Forsythe I.D., Oliver D.L., Kaczmarek L.K. Acoustic environment determines phosphorylation state of the Kv3.1 potassium channel in auditory neurons. Nat. Neurosci. 2005;8(10):1335-1342. doi 10.1038/nn1533; Stajich J.E., Block D., Boulez K., Brenner S.E., Chervitz S.A., Dagdigian C., Fuellen G., Gilbert J.G., Korf I., Lapp H., Lehvaslaiho H., Matsalla C., Mungall C.J., Osborne B.I., Pocock M.R., Schattner P., Senger M., Stein L.D., Stupka E., Wilkinson M.D., Birney E. The Bioperl toolkit: Perl modules for the life sciences. Genome Res. 2002;12(10):1611-1618. doi 10.1101/gr.361602; Stamboulian S., Choi J.S., Ahn H.S., Chang Y.W., Tyrrell L., Black J.A., Waxman S.G., Dib-Hajj S.D. ERK1/2 mitogen-activated protein kinase phosphorylates sodium channel Nav1.7 and alters its gating properties. J. Neurosci. 2010;30(5):1637-1647. doi 10.1523/jneurosci.4872-09.2010; Stephenson J.B. Syncopes and other paroxysmal events. Handb. Clin. Neurol. 2013;112:861-866. doi 10.1016/B978-0-444-52910-7. 00007-6; Sun G.L., Shen W., Wen J.F. Triosephosphate isomerase genes in two trophic modes of euglenoids (euglenophyceae) and their phylogenetic analysis. J. Eukaryot. Microbiol. 2008;55(3):170-177. doi 10.1111/j.1550-7408.2008.00324.x; Szklarczyk D., Kirsch R., Koutrouli M., Nastou K., Mehryary F., Hachilif R., Gable A.L., Fang T., Doncheva N.T., Pyysalo S., Bork P., Jensen L.J., von Mering C. The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Res. 2023;51(D1):D638-D646. doi 10.1093/nar/gkac1000; Taub D.G., Woolf C.J. Age-dependent small fiber neuropathy: mechanistic insights from animal models. Exp. Neurol. 2024;377:114811. doi 10.1016/j.expneurol.2024.114811; Warde-Farley D., Donaldson S.L., Comes O., Zuberi K., Badrawi R., Chao P., Franz M., Grouios C., Kazi F., Lopes C.T., Maitland A., Mostafavi S., Montojo J., Shao Q., Wright G., Bader G.D., Morris Q. The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res. 2010;38(W2):W214-W220. doi 10.1093/nar/gkq537; Wu B., Zhang Y., Tang H., Yang M., Long H., Shi G., Tang J., Shi X. A novel SCN9A mutation (F826Y) in primary erythromelalgia alters the excitability of Nav1.7. Curr. Mol. Med. 2017;17(6):450-457. doi 10.2174/1566524017666171009105029; Xue Y., Kremer M., Muniz Moreno M.D.M., Chidiac C., Lorentz R., Birling M.C., Barrot M., Herault Y., Gaveriaux-Ruff C. The human SCN9AR185H point mutation induces pain hypersensitivity and spontaneous pain in mice. Front. Mol. Neurosci. 2022;15:913990. doi 10.3389/fnmol.2022.913990; Yamamori S., Sugaya D., Iida Y., Kokubo H., Itakura M., Suzuki E., Kataoka M., Miyaoka H., Takahashi M. Stress-induced phosphorylation of SNAP-25. Neurosci. Lett. 2014;561:182-187. doi 10.1016/j.neulet.2013.12.044; Zerbino D.R., Wilder S.P., Johnson N., Juettemann T., Flicek P.R. The ensemble regulatory build. Genome Biol. 2015;16(1):56. doi 10.1186/s13059-015-0621-5; Zhou Y., Zhou B., Pache L., Chang M., Khodabakhshi A.H., Tanaseichuk O., Benner C., Chanda S.K. Metascape provides a biologistoriented resource for the analysis of systems-level datasets. Nat. Commun. 2019;10(1):1523. doi 10.1038/s41467-019-09234-6; https://vavilov.elpub.ru/jour/article/view/4403

Διαθεσιμότητα: https://vavilov.elpub.ru/jour/article/view/4403
https://doi.org/10.18699/vjgb-24-89

EFFECTIVENESS OF THE NEW PLANT PROMOTER pro-SmAMP-X IN MODEL AND AGRICULTURAL PLANTS

Πηγή: Биотехнология в растениеводстве, животноводстве и сельскохозяйственной микробиологии. :91-93

Θεματικοί όροι: В МОДЕЛЬНЫЕ РАСТЕНИЯ, AGRICULTURAL PLANTS, НОВЫЙ РАСТИТЕЛЬНЫЙ ПРОМОТОР, NEW PLANT PROMOTER, pro-SmAMP-X, СЕЛЬСКОХОЗЯЙСТВЕННЫЕ РАСТЕНИЯ, IN MODEL PLANTS

Electrochemical Synthesis of Peroxyacetic Acid on Pt/PtO and PbO2 Anodes

Συγγραφείς: Bilous, Tetiana, Tulskaya, Alena, Ryshchenko, Igor, Chahine, Issam, Bairachnyi, Volodymyr

Συνεισφορές: National Technical University 'Kharkiv Polytechnic Institute'

Πηγή: Chemistry and Chemical Technology. 14:135-138

Θεματικοί όροι: peroxyacetic acid, promoter, peroxide particles, оцтова кислота, 02 engineering and technology, перокси-частинки, промотор, 01 natural sciences, 0104 chemical sciences, пероксиоцтова кислота, acetic acid, lead-dioxide anode, platinum anode, диоксид свинцевий анод, платиновий анод, 0210 nano-technology

Περιγραφή αρχείου: application/pdf; image/png

Σύνδεσμος πρόσβασης: http://science2016.lp.edu.ua/sites/default/files/Full_text_of_%20papers/full_text_1009.pdf
https://ena.lpnu.ua/handle/ntb/55781

Стохастические модели регуляции генов: выпускная квалификационная работа магистра

Θεματικοί όροι: транскрипция, promoter, регуляция генов, стохастическое моделирования, gene regulation, transcription, промотор, stochastic modeling

Russian Science Foundation grant No. 20-14-00140 supported this study. The authors are thankful to the multi-access Center “Bioinformatics” for the use of computational resources as supported by Russian government project FWNR-2022-0020 and the Russian Federal Science and Technology Program for the Development of Genetic Technologies. ; Промоторы генов, кодирующих β-амилазу, альбумин и глобулин пищевых растений в сравнении с непищевыми, характеризуются более низкой аффинностью к ТАТА-связывающему белку: in silico анализ

Συγγραφείς: O. V. Vishnevsky, I. V. Chadaeva, E. B. Sharypova, B. M. Khandaev, K. A. Zolotareva, A. V. Kazachek, P. M. Ponomarenko, N. L. Podkolodny, D. A. Rasskazov, E. V. Zemlyanskaya, A. G. Bogomolov, O. A. Podkolodnaya, L. K. Savinkova, M. P. Ponomarenko, О. В. Вишневский, И. В. Чадаева, Е. Б. Шарыпова, Б. М. Хандаев, К. А. Золотарева, А. В. Казачек, П. М. Пономаренко, Н. Л. Подколодный, Д. А. Рассказов, А. Г. Богомолов, О. А. Подколодная, Л. К. Савинкова, Е. В. Землянская, М. П. Пономаренко

Συνεισφορές: Russian Science Foundation grant No. 20-14-00140 supported this study. The authors are thankful to the multi-access Center “Bioinformatics” for the use of computational resources as supported by Russian government project FWNR-2022-0020 and the Russian Federal Science and Technology Program for the Development of Genetic Technologies.

Πηγή: Vavilov Journal of Genetics and Breeding; Том 26, № 8 (2022); 798­-805 ; Вавиловский журнал генетики и селекции; Том 26, № 8 (2022); 798­-805 ; 2500-3259 ; 10.18699/VJGB-22-86

Θεματικοί όροι: оценки in silico, albumin, globulin, β­amylase, gene, promoter, common wheat Triticum aestivum L. (1753), plants, TATA­binding protein, TATA box, domestication, selection, in silico estimate, альбумин, глобулин, β­амилаза, ген, промотор, мягкая пшеница Triticum aestivum L. (1753), растения, TATA­связывающий белок, TATA­бокс, доместикация, отбор

Περιγραφή αρχείου: application/pdf

Relation: https://vavilov.elpub.ru/jour/article/view/3581/1672; Arkova O., Kuznetsov N., Fedorova O., Savinkova L. A real­time study of the interaction of TBP with a TATA box­containing duplex identical to an ancestral or minor allele of human gene LEP or TPI. J. Biomol. Struct. Dyn. 2017;35(14):3070-3081. DOI 10.1080/07391102.2016.1241190.; Auble D.T. The dynamic personality of TATA­binding protein. Trends Biochem. Sci. 2009;34(2):49-52. DOI 10.1016/j.tibs.2008.10.008.; Benson D.A., Clark K., Karsch­Mizrachi I., Lipman D.J., Ostell J., Sayers E.W. GenBank. Nucleic Acids Res. 2015;43(Database issue):D30-D35. DOI 10.1093/nar/gku1216.; Berg O.G., von Hippel P.H. Selection of DNA binding sites by regulatory proteins. Statistical­mechanical theory and application to operators and promoters. J. Mol. Biol. 1987;193(4):723­750. DOI 10.1016/0022-2836(87)90354-8.; Bucher P. Weight matrix descriptions of four eukaryotic RNA polymerase II promoter elements derived from 502 unrelated promoter sequences. J. Mol. Biol. 1990;212(4):563-578. DOI 10.1016/00222836(90)90223­9.; Cavazza A., Mattarozzi M., Franzoni A., Careri M. A spotlight on analytical prospects in food allergens: From emerging allergens and novel foods to bioplastics and plant­based sustainable food contact materials. Food Chem. 2022;388:132951. DOI 10.1016/j.foodchem. 2022.132951.; Choukrallah M.A., Kobi D., Martianov I., Pijnappel W.W., Mischerikow N., Ye T., Heck A.J., Timmers H.T., Davidson I. Interconversion between active and inactive TATA­binding protein transcription complexes in the mouse genome. Nucleic Acids Res. 2012;40(4): 1446-1459. DOI 10.1093/nar/gkr802.; Coleman R.A., Pugh B.F. Evidence for functional binding and stable sliding of the TATA binding protein on nonspecific DNA. J. Biol. Chem. 1995;270(23):13850-13859. DOI 10.1074/jbc.270.23.13850.; Delgadillo R.F., Whittington J.E., Parkhurst L.K., Parkhurst L.J. The TATA­binding protein core domain in solution variably bends TATA sequences via a three­step binding mechanism. Biochemistry. 2009; 48(8):1801-1809. DOI 10.1021/bi8018724.; Drachkova I., Savinkova L., Arshinova T., Ponomarenko M., Peltek S., Kolchanov N. The mechanism by which TATA­box polymorphisms associated with human hereditary diseases influence interactions with the TATA­binding protein. Hum. Mutat. 2014;35(5):601­608. DOI 10.1002/humu.22535.; Fire A., Samuels M., Sharp P.A. Interactions between RNA polymerase II, factors, and template leading to accurate transcription. J. Biol. Chem. 1984;259(4):2509-2516. DOI 10.1016/S0021-9258(17)43382­5.; Flatters D., Lavery R. Sequence­dependent dynamics of TATA­Box binding sites. Biophys. J. 1998;75(1):372-381. DOI 10.1016/S00063495(98)77521­6.; Hahn S., Buratowski S., Sharp P.A., Guarente L. Yeast TATA­binding protein TFIID binds to TATA elements with both consensus and nonconsensus DNA sequences. Proc. Natl. Acad. Sci. USA. 1989; 86(15):5718-5722. DOI 10.1073/pnas.86.15.5718.; Hong L., Pan M., Xie X., Liu K., Yang J., Wang S., Wang S. Aptamerbased fluorescent biosensor for the rapid and sensitive detection of allergens in food matrices. Foods. 2021;10(11):2598. DOI 10.3390/foods10112598. IUPAC­IUB Commission on Biochemical Nomenclature (CBN). Abbreviations and symbols for nucleic acids, polynucleotides and their constituents. Recommendations 1970. Biochem. J. 1970;120(3): 449-454. DOI 10.1042/bj1200449.; Martianov I., Viville S., Davidson I. RNA polymerase II transcription in murine cells lacking the TATA binding protein. Science. 2002; 298(5595):1036-1039. DOI 10.1126/science.1076327.; Mogno I., Vallania F., Mitra R.D., Cohen B.A. TATA is a modular component of synthetic promoters. Genome Res. 2010;20(10):13911397. DOI 10.1101/gr.106732.110.; Muller F., Lakatos L., Dantonel J., Strahle U., Tora L. TBP is not universally required for zygotic RNA polymerase II transcription in zebrafish. Curr. Biol. 2001;11(4):282-287. DOI 10.1016/s0960-9822(01)00076­8.; Ponomarenko P., Chadaeva I., Rasskazov D.A., Sharypova E., Kashina E.V., Drachkova I., Zhechev D., Ponomarenko M.P., Savinkova L.K., Kolchanov N. Candidate SNP markers of familial and sporadic Alzheimer’s diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters. Front. Aging Neurosci. 2017;9:231. DOI 10.3389/fnagi.2017.00231.; Ponomarenko P.M., Ponomarenko M.P., Drachkova I.A., Lysova M.V., Arshinova T.V., Savinkova L.K., Kolchanov N.A. Prediction of the affinity of the TATA-binding protein to TATA boxes with single nucleotide polymorphisms. Mol. Biol. (Moscow). 2009; 43(3):472­479. DOI 10.1134/S0026893309030157.; Ponomarenko P., Savinkova L., Drachkova I., Lysova M., Arshinova T., Ponomarenko M., Kolchanov N. A step-by-step model of TBP/TATA box binding allows predicting human hereditary diseases by single nucleotide polymorphism. Dokl. Biochem. Biophys. 2008;419:8892. DOI 10.1134/S1607672908020117.; Prescott S.L., Logan A.C., Bristow J., Rozzi R., Moodie R., Redvers N., Haahtela T., Warber S., Poland B., Hancock T., Berman B. Exiting the anthropocene: achieving personal and planetary health in the 21st century. Allergy. 2022;77(12):3498-3512. DOI 10.1111/all.15419.; Rasskazov D., Chadaeva I., Sharypova E., Zolotareva K., Khandaev B., Ponomarenko P., Podkolodnyy N., Tverdokhleb N., Vishnevsky O., Bogomolov A., Podkolodnaya O., Savinkova L., Zemlyanskaya E.; Golubyatnikov V., Kolchanov N., Ponomarenko M. Plant_SNP_ TATA_Z­tester: a Web service that unequivocally estimates the impact of proximal promoter mutations on plant gene expression. Int. J. Mol. Sci. 2022;23(15):8684. DOI 10.3390/ijms23158684.; Rhee H., Pugh B. Genome­wide structure and organization of eukaryotic pre­initiation complexes. Nature. 2012;483(7389):295­301. DOI 10.1038/nature10799.; Savinkova L., Drachkova I., Arshinova T., Ponomarenko P., Ponomarenko M., Kolchanov N. An experimental verification of the predicted effects of promoter TATA-box polymorphisms associated with human diseases on interactions between the TATA boxes and TATA­binding protein. PLoS One. 2013;8(2):e54626. DOI 10.1371/journal.pone.0054626.; Savinkova L.K., Ponomarenko M.P., Ponomarenko P.M., Drachkova I.A., Lysova M.V., Arshinova T.V., Kolchanov N.A. TATA box polymorphisms in human gene promoters and associated hereditary pathologies. Biochemistry (Moscow). 2009;74(2):117­129. DOI 10.1134/s0006297909020011.; Wang Y., Weng J., Zhu C., Ai R., Zhou J., Wang C., Chen Q., Fu L. Allergenicity assessment and allergen profile analysis of different Chinese wheat cultivars. World Allergy Organ. J. 2021;14(7):100559. DOI 10.1016/j.waojou.2021.100559.; https://vavilov.elpub.ru/jour/article/view/3581

Διαθεσιμότητα: https://vavilov.elpub.ru/jour/article/view/3581
https://doi.org/10.18699/VJGB-22-96

Development of technology for the production of metal cord with a modified brass coating ; Разработка технологии производства металлокорда с модифицированным латунным покрытием

Συγγραφείς: O. Yu. Khodosovskaya, I. A. Muraveiko, О. Ю. Ходосовская, И. А. Муравейко

Πηγή: Litiyo i Metallurgiya (FOUNDRY PRODUCTION AND METALLURGY); № 2 (2022); 50-53 ; Литье и металлургия; № 2 (2022); 50-53 ; 2414-0406 ; 1683-6065 ; 10.21122/1683-6065-2022-2

Θεματικοί όροι: промотор, brass coating, modification, metal cord, adhesion, promoter, латунное покрытие, модификация, металлокорд, адгезия

Περιγραφή αρχείου: application/pdf

Relation: https://lim.bntu.by/jour/article/view/3458/3362; Матюхин С. А., Дашевский Л. И., Генин В. Я., Котова Г. А. Производство и использование эластомеров // Научнотехнические достижения и передовой опыт. 1991. № 2.; Seynhaeve Geert (BE), Himpe Stijn (BE), Buytaert Guy (Be), Inventor; Bekaert Sa Nv (BE), аssignee. A steel cord for rubber reinforcement with selectively brass coated filaments. Patent WO/2014/016028. 2014.01.30; https://lim.bntu.by/jour/article/view/3458

Διαθεσιμότητα: https://lim.bntu.by/jour/article/view/3458
https://doi.org/10.21122/1683-6065-2022-2-50-53

Сandidate SNP-markers of rheumatoid arthritis that can significantly alter the affinity of the TATA-binding protein for human gene promoters ; Кандидатные SNP-маркеры ревматоидного полиартрита, которые могут достоверно изменять сродство ТАТА-связывающего белка к промоторам генов человека

Συγγραφείς: I. V. Chadaeva, D. A. Rasskazov, E. B. Sharypova, I. A. Drachkova, E. A. Oshchepkova, L. K. Savinkova, P. M. Ponomarenko, M. P. Ponomarenko, N. A. Kolchanov, V. A. Kozlov, И. В. Чадаева, Д. А. Рассказов, Е. Б. Шарыпова, И. А. Драчкова, Е. А. Ощепкова, Л. К. Савинкова, П. М. Пономаренко, М. П. Пономаренко, Н. А. Колчанов, В. А. Козлов

Συνεισφορές: The text of the manuscript was written by MPP, who acknowledges the support from the Russian Ministry of Education and Science, Program of the Improvement of the Worldwide Competitive Ability of Russian Universities among Research and Educational Centers (project 5–100). The modification of the Web service by PMP, DAR, IVCh, and EAO and data analysis by EBSh, IAD, and LKS were supported by budgeted projects 0324-2019-0040 and 0324-2019-0042, respectively. The research design and general supervision by NAK and VAK were supported by the Integrated Program of Basic Research, Siberian Branch of the RAS, project 0324-2018-0021.

Πηγή: Vavilov Journal of Genetics and Breeding; Том 23, № 8 (2019); 1047-1058 ; Вавиловский журнал генетики и селекции; Том 23, № 8 (2019); 1047-1058 ; 2500-3259

Θεματικοί όροι: ревматоидный полиартрит (РА), TBP-binding site (TATA box), promoter, TBP-promoter affinity, gene, single nucleotide polymorphism (SNP), gene expression, significant change, SNP-marker, rheumatoid polyarthritis (RA), сайт ТВР-связывания (ТАТА-бокс), промотор, сродство ТВР/промотор, ген, однонуклеотидный полиморфизм (SNP), экспрессия гена, достоверное изменение, SNP-маркер

Περιγραφή αρχείου: application/pdf

Relation: https://vavilov.elpub.ru/jour/article/view/2398/1329; Abrahamson E.M. Hyperinsulinism – a factor in rheumatoid arthritis. Am. J. Dig. Dis. 952;19(1):1­4.; Al­Shakfa F., Dulucq S., Brukner I., Milacic I., Ansari M., Beaulieu P., Moghrabi A., Laverdiere C., Sallan S.E., Silverman L.B., Neuberg D., Kutok J.L., Sinnett D., Krajinovic M. DNA variants in region for noncoding interfering transcript of dihydrofolate reductase gene and outcome in childhood acute lymphoblastic leukemia. Clin. Cancer Res. 2009;15:6931­6938. DOI 10.1158/1078­0432.CCR­09­0641.; Amberger J.S., Bocchini C.A., Schiettecatte F., Scott A.F., Hamosh A. OMIM.org: Online mendelian inheritance in man (OMIM ® ), an online catalog of human genes and genetic disorders. Nucleic Acids Res. 2015; 43(Database issue):D789­D798. DOI 10.1093/nar/gku1205.; Arkova O.V., Kuznetsov N.A., Fedorova O.S., Kolchanov N.A., Savinkova L.K. Real­time interaction between ТВР and the TATA box of the human triosephosphate isomerase gene promoter in the norm and pathology. Acta Naturae. 2014;6(2):36­40.; Arkova O.V., Ponomarenko M.P., Rasskazov D.A., Drachkova I.A., Arshinova T.V., Ponomarenko P.M., Savinkova L.K., Kolchanov N.A. Obesity­related known and candidate SNP markers can significantly change affinity of TATA­binding protein for human gene promoters. BMC Genomics. 2015;16(Suppl. 13):S5. DOI 10.1186/1471­2164­16­S13­S5.; Arnaud E., Barbalat V., Nicaud V., Cambien F., Evans A., Morrison C., Arveiler D., Luc G., Ruidavets J.B., Emmerich J., Fiessinger J.N., Aiach M. Polymorphisms in the 5ʹ regulatory region of the tissue factor gene and the risk of myocardial infarction and venous thromboembolism: the ECTIM and PATHROS studies. Etude CasTemoins de l’Infarctus duMyocarde. Paris thrombosis case–control study. Arterioscler. Thromb. Vasc. Biol. 2000;20:892­898. DOI 10.1161/01.atv.20.3.892.; Bennike T.B., Ellingsen T., Glerup H., Bonderup O.K., Carlsen T.G., Meyer M.K., Bogsted M., Christiansen G., Birkelund S., Andersen V., Stensballe A. Proteome analysis of rheumatoid arthritis gut mucosa. J. Proteome Res. 2017;16(1):346­354. DOI 10.1021/acs.jproteome.6b00598.; Boldt A.B., Culpi L., Tsuneto L.T., de Souza I.R., Kun J.F., Petzl­Erler M.L. Diversity of the MBL2 gene in various Brazilian populations and the case of selection at the mannose­binding lectin locus. Hum. Immunol. 2006;67(9):722­734. DOI 10.1016/j.humimm.2006.05.009.; Bucher P. Weight matrix descriptions of four eukaryotic RNA polymerase II promoter elements derived from 502 unrelated promoter sequences. J. Mol. Biol. 1990;212(4):563­578. DOI 10.1016/0022­2836(90)90223­9.; Burgner D., Rockett K., Ackerman H., Hull J., Usen S., Pinder M., Kwiatkowski D.P. Haplotypic relationship between SNP and microsatellite markers at the NOS2A locus in two populations. Genes Immun. 2003;4(7):506­514. DOI 10.1038/sj.gene.6364022.; Cao H., Lin J., Chen W., Xu G., Sun C. Baseline adiponectin and leptin levels in predicting an increased risk of disease activity in rheumatoid arthritis: A meta­analysis and systematic review. Autoimmunity. 2016;49(8):547­553. DOI 10.1080/08916934.2016.1230847.; Cervera A., Planas A.M., Justicia C., Urra X., Jensenius J.C., Torres F., Lozano F., Chamorro A. Genetically­defined deficiency of mannosebinding lectin is associated with protection after experimental stroke in mice and outcome in human stroke. PLoS One. 2010;5(2):e8433. DOI 10.1371/journal.pone.0008433.; Chadaeva I.V., Ponomarenko M.P., Rasskazov D.A., Sharypova E.B., Kashina E.V., Matveeva M.Yu., Arshinova T.V., Ponomarenko P.M., Arkova O.V., Bondar N.P., Savinkova L.K., Kolchanov N.A. Candidate SNP markers of aggressiveness­related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA­binding protein for human gene promoters. BMC Genomics. 2016;17(Suppl. 14):995. DOI 10.1186/s12864­016­3353­3.; Chadaeva I., Ponomarenko P., Rasskazov D., Sharypova E., Kashina E., Kleshchev M., Ponomarenko M., Naumenko V., Savinkova L., Kolchanov N., Osadchuk L., Osadchuk A. Natural selection equally supports the human tendencies in subordination and domination: a genome­wide study with in silico confirmation and in vivo validation in mice. Front. Genet. 2019;10:73.; Chadaeva I.V., Ponomarenko P.M., Rasskazov D.A., Sharypova E.B., Kashina E.V., Zhechev D.A., Drachkova I.A., Arkova O.V., Savin kova L.K., Ponomarenko M.P., Kolchanov N.A., Osadchuk L.V., Osadchuk A.V. Candidate SNP markers of reproductive potential are predicted by a significant change in the affinity of TATA­binding protein for human gene promoters. BMC Genomics. 2018;19(Suppl. 3). DOI 10.1186/s12864­018­4478­3.; Chang H.H., Liu G.Y., Dwivedi N., Sun B., Okamoto Y., Kins low J.D., Deane K.D., Demoruelle M.K., Norris J.M., Thompson P.R., Sparks J.A., Rao D.A., Karlson E.W., Hung H.C., Holers V.M., Ho I.C. A molecular signature of preclinical rheumatoid arthritis triggered by dysregulated PTPN22. JCI Insight. 2016;1(17):e90045. DOI 10.1172/jci.insight.90045.; Clark I.A., Rockett K.A., Burgner D. Genes, nitric oxide and malaria in African children. Trends Parasitol. 2003;19(8):335­337. DOI 10.1016/S1471­4922(03)00147­8.; Deplancke B., Alpern D., Gardeux V. The genetics of transcription factor DNA binding variation. Cell. 2016;166(3):538­554. DOI 10.1016/j.cell.2016.07.01.; Drachkova I., Savinkova L., Arshinova T., Ponomarenko M., Peltek S., Kolchanov N. The mechanism by which TATA­box polymorphisms associated with human hereditary diseases influence interactions with the TATA­binding protein. Hum. Mutat. 2014;35(5):601­608. DOI 10.1002/humu.22535.; Drobiecki A., Pasiarski M., Hus I., Sokolowska B., Watek M. Acquired hemophilia in the patient suffering from rheumatoid arthritis: case report. Blood Coagul. Fibrinolysis. 2013;24(8):874­880. DOI 10.1097/mbc.0b013e3283646635.; Erlandsson M.C., Doria Medina R., Töyra Silfversward S., Bokarewa M.I. Smoking functions as a negative regulator of IGF1 and impairs adipokine network in patients with rheumatoid arthritis. Mediators Inflamm. 2016;2016:3082820. DOI 10.1155/2016/3082820.; Giakoumi X., Tsironi M., Floudas C., Polymeropoylos E., Papalambros E., Aessopos A. Rheumatoid arthritis in thalassemia intermedia: coincidence or association? Isr. Med. Assoc. J. 2005;7(10):667­669.; Ginsburg G.S., Willard H.F. Genomic and personalized medicine: foundations and applications. Transl. Res. 2009;154(6):277­287. DOI 10.1016/j.trsl.2009.09.005.; Gonzalez­Martinez J.A., Moddel G., Ying Z., Prayson R.A., Bingaman W.E., Najm I.M. Neuronal nitric oxide synthase expression in resected epileptic dysplastic neocortex. J Neurosurg. 2009;110(2): 343­349. DOI 10.3171/2008.6.17608.; Gunbin K.V., Ponomarenko M.P., Suslov V.V., Gusev F., Fedonin G.G., Rogaev E.I. Evolution of brain active gene promoters in human lineage towards the increased plasticity of gene regulation. Mol. Neurobiol. 2018;55(3):1871­1904. DOI 10.1007/s12035­017­0427­4.; Haeussler M., Raney B.J., Hinrichs A.S., Clawson H., Zweig A.S., Karolchik D., Casper J., Speir M.L., Haussler D., Kent W.J. Navigating protected genomics data with UCSC genome browser in a box. Bioinformatics. 2015;31(5):764­766. DOI 10.1093/bioinformatics/btu712.; Hahn S., Buratowski S., Sharp P.A., Guarente L. Yeast TATA­binding protein TFIID binds to TATA elements with both consensus and nonconsensus DNA sequences. Proc. Natl. Acad. Sci. USA. 1989; 86(15):5718­5722.; Haldane J.B.S. The cost of natural selection. J. Genet. 1957;55:511­524.; Ho M.F., Weinshilboum R.M. Immune mediator pharmacogenomics: TCL1A SNPs and estrogen­dependent regulation of inflammation. J. Nat. Sci. 2017;3(8):e416.; Hunninghake G.M., Cho M.H., Tesfaigzi Y., Soto­Quiros M.E., Avila L., Lasky­Su J., Stidley C., Melen E., Soderhall C., Hallberg J., Kull I., Kere J., Svartengren M., Pershagen G., Wickman M., Lange C., Demeo D.L., Hersh C.P., Klanderman B.J., Raby B.A., Sparrow D., Shapiro S.D., Silverman E.K., Litonjua A.A., Weiss S.T., Celedon J.C. MMP12, lung function, and COPD in highrisk populations. N. Engl. J. Med. 2009;361(27):2599­2608. DOI 10.1056/nejmoa0904006.; Jones O.Y., Spencer C.H., Bowyer S.L., Dent P.B., Gottlieb B.S., Rabinovich C.E. A multicenter case­control study on predictive fac tors distinguishing childhood leukemia from juvenile rheumatoid arthritis. Pediatrics. 2006;117(5):e840­e844. DOI 10.1542/peds.2005­1515.; Karas H., Knuuppel R., Schulz W., Sklenar H., Wingender E. Combining structural analysis of DNA with search routines for the detection of transcription regulatory elements. Comput. Appl. Biosci. 1996; 12(5):441­446.; Karlson E.W., Mandl L.A., Hankinson S.E., Grodstein F. Do breastfeeding and other reproductive factors influence future risk of rheumatoid arthritis? Results from the Nurses’ Health Study. Arthritis Rheum. 2004;50(11):3458­3467. DOI 10.1002/art.20621.; Kavlie A., Hiltunen L., Rasi V., Prydz H. Two novel mutations in the human coagulation factor VII promoter. Thromb. Haemost. 2003; 90(2):194­205. DOI 10.1160/th02­09­0050.; Kimura M. Evolutionary rate at the molecular level. Nature. 1968; 217(5129):624­626. DOI 10.1038/217624a0.; Klareskog L., Padyukov L., Lorentzen J., Alfredsson L. Mechanisms of disease: genetic susceptibility and environmental triggers in the development of rheumatoid arthritis. Nat. Clin. Pract. Rheumatol. 2006;2(8):425­433. DOI 10.1038/ncprheum0249.; Kokkonen H., Stenlund H., Rantapaa­Dahlqvist S. Cardiovascular risk factors predate the onset of symptoms of rheumatoid arthritis: a nested case­control study. Arthritis Res. Ther. 2017;19(1):148. DOI 10.1186/s13075­017­1351­8.; Köller M., Nöbauer­Huhmann I. Early arthritis: action desired – treatment required. Wien Med. Wochenschr. 2009;159(3­4):66­69. DOI 10.1007/s10354­009­0653­0.; Krasselt M., Baerwald C. Sex, symptom severity, and quality of life in rheumatology. Clin. Rev. Allergy Immunol. 2017. DOI 10.1007/s12016­017­8631­6.; Landrum M.J., Lee J.M., Riley G.R., Jang W., Rubinstein W.S., Church D.M., Maglott D.R. ClinVar: public archive of relationships among sequence variation and human phenotype. Nucleic Acids Res. 2014;42(Database issue):D980­D985. DOI 10.1093/nar/gkt1113.; Lim D.S., Bae Y.S. Metastatic lymph node 51 and fibroblast­like syno viocyte hyperproliferation in rheumatoid arthritis pathogenesis. Rheumatol. Int. 2011;31(7):843­847. DOI 10.1007/s00296­011­1818­x.; Liu M., Sun H., Wang X., Koike T., Mishima H., Ikeda K., Watanabe T., Ochiai N., Fan J. Association of increased expression of macrophage elastase (matrix metalloproteinase 12) with rheumatoid arthritis. Arthritis Rheum. 2004;50(10):3112­3117. DOI 10.1002/art.20567.; Lu Z. PubMed and beyond: a survey of web tools for searching biome dical literature. Database (Oxford). 2011. 2011:baq036. DOI 10.1093/database/baq036. Print 2011.; Lyberg T., Prydz H., Baklien K., Hoyeraal H.M. Effect of immune complex­containing sera from patients with rheumatic diseases on thromboplastin activity of monocytes. Thromb. Res. 1982;25(3): 193­202. DOI 10.1016/0049­3848(82)90238­9.; Malm K., Bremander A., Arvidsson B., Andersson M.L., Bergman S., Larsson I. The influence of lifestyle habits on quality of life in patients with established rheumatoid arthritis­A constant balancing between ideality and reality. Int. J. Qual. Stud. Health Well­being. 2016;11:30534. DOI 10.3402/qhw.v11.30534.; Manetti M., Ibba­Manneschi L., Fatini C., Guiducci S., Cuomo G., Bonino C., Bazzichi L., Liakouli V., Giacomelli R., Abbate R., Bombardieri S., Montecucco C., Valentini G., Matucci­Cerinic M. Association of a functional polymorphism in the matrix metalloproteinase­12 promoter region with systemic sclerosis in an Italian population. J. Rheumatol. 2010;37(9):1852­1857. DOI 10.3899/jrheum.100237.; Martianov I., Viville S., Davidson I. RNA polymerase II transcription in murine cells lacking the TATA binding protein. Science. 2002;298(5595):1036­1039. DOI 10.1126/science.1076327.; Martiney J.A., Cerami A., Slater A.F. Inhibition of hemozoin formation in Plasmodium falciparum trophozoite extracts by heme analogs: possible implication in the resistance to malaria conferred by the beta­thalassemia trait. Mol. Med. 1996;2(2):236­246.; Matsunaga A., Sasaki J., Han H., Huang W., Kugi M., Koga T., Ichiki S., Shinkawa T., Arakawa K. Compound heterozygosity for an apolipoprotein A1 gene promoter mutation and a structural nonsense mutation with apolipoprotein A1 deficiency. Arterioscler. Thromb. Vasc. Biol. 1999;19(2):348­355. DOI 10.1161/01.atv.19.2.348.; McCarty M.F. Vegan proteins may reduce risk of cancer, obesity, and cardiovascular disease by promoting increased glucagon activity. Med. Hypotheses. 1999;53(6):459­485. DOI 10.1054/mehy.1999.0784.; Michon P., Woolley I., Wood E.M., Kastens W., Zimmerman P.A., Adams J.H. Duffy­null promoter heterozygosity reduces DARC expression and abrogates adhesion of the P. vivax ligand required for blood­stage infection. FEBS Lett. 2001;495(1­2):111­114. DOI 10.1016/S0014­5793(01)02370­5.; Mogno I., Vallania F., Mitra R.D., Cohen B.A. TATA is a modular component of synthetic promoters. Genome Res. 2010;20(10): 1391­1397. DOI 10.1101/gr.106732.110.; Muller F., Lakatos L., Dantonel J., Strahle U., Tora L. TBP is not universally required for zygotic RNA polymerase II transcription in zebrafish. Curr. Biol. 2001;11(4):282­287. DOI 10.1016/S0960­9822(01)00076­8.; Nair N., Wilson A.G., Barton A. DNA methylation as a marker of response in rheumatoid arthritis. Pharmacogenomics. 2017;18(14): 1323­1332. DOI 10.2217/pgs­2016­0195.; Nalls M.A., Wilson J.G., Patterson N.J., Tandon A., Zmuda J.M., Huntsman S., Garcia M., Hu D., Li R., Beamer B.A., Patel K.V., Akylbekova E.L., Files J.C., Hardy C.L., Buxbaum S.G., Taylor H.A., Reich D., Harris T.B., Ziv E. Admixture mapping of white cell count: genetic locus responsible for lower white blood cell count in the Health ABC and Jackson Heart studies. Am. J. Hum. Genet. 2008;82(1):81­87. DOI 10.1016/j.ajhg.2007.09.003.; Niemann S., Broom W.J., Brown R.H. Jr. Analysis of a genetic defect in the TATA box of the SOD1 gene in a patient with familial amyotrophic lateral sclerosis. Muscle Nerve. 2007;36(5):704­707. DOI 10.1002/mus.20855.; Nisihara R., Skare T., Capeletto C.M., Moreira L., Goeldner I., Messias­Reason I., Utiyama S.R. Mannose binding lectin deficiency and susceptibility to infections in patients with rheumatoid arthritis. Rheumatology (Oxford). 2016;55(5):951­952. DOI 10.1093/rheumatology/kev413.; Ohtsuka M., Konno F., Honda H., Oikawa T., Ishikawa M., Iwase N., Isomae K., Ishii F., Hemmi H., Sato S. PPA250 [3­(2,4­difluorophenyl)6­[2­[4­(1H­imidazol­1­ylmethyl) phenoxy]ethoxy]­2­phenylpyridine], a novel orally effective inhibitor of the dimerization of inducible nitric­oxide synthase, exhibits an anti­inflammatory effect in animal models of chronic arthritis. J. Pharmacol. Exp. Ther. 2002; 303(1):52­57. DOI 10.1124/jpet.102.035857.; Okada Y., Wu D., Trynka G., Raj T., Terao C., Ikari K., Kochi Y., Ohmura K., Suzuki A., Yoshida S., Graham R.R., Manoharan A., Ortmann W., Bhangale T., Denny J.C., Carroll R.J., Eyler A.E., Greenberg J.D., Kremer J.M., Pappas D.A., Jiang L., Yin J., Ye L., Su D.F., Yang J., Xie G., Keystone E., Westra H.J., Esko T., Metspalu A., Zhou X., Gupta N., Mirel D., Stahl E.A., Diogo D., Cui J., Liao K., Guo M.H., Myouzen K., Kawaguchi T., Coenen M.J., van Riel P.L., van de Laar M.A., Guchelaar H.J., Huizinga T.W., Dieude P., Mariette X., Bridges S.L. Jr., Zhernakova A., Toes R.E., Tak P.P., MiceliRichard C., Bang S.Y., Lee H.S., Martin J., Gonzalez­Gay M.A., Rodriguez­Rodriguez L., Rantapaa­Dahlqvist S., Arlestig L., Choi H.K., Kamatani Y., Galan P., Lathrop M., RACI consortium, GARNET consortium, Eyre S., Bowes J., Barton A., de Vries N., Moreland L.W., Criswell L.A., Karlson E.W., Taniguchi A., Yamada R., Kubo M., Liu J.S., Bae S.C., Worthington J., Padyukov L., Klareskog L., Gregersen P.K., Raychaudhuri S., Stranger B.E., De Jager P.L., Franke L., Visscher P.M., Brown M.A., Yamanaka H., Mimori T., Takahashi A., Xu H., Behrens T.W., Siminovitch K.A., Momohara S., Matsuda F., Yamamoto K., Plenge R.M. Genetics of rheumatoid arthritis contributes to biology and drug discovery. Nature. 2014;506(7488):376­381. DOI 10.1038/nature12873.; Olkkonen J., Kouri V.P., Hynninen J., Konttinen Y.T., Mandelin J. Differentially expressed in chondrocytes 2 (DEC2) increases the expression of IL­1β and is abundantly present in synovial membrane in rheumatoid arthritis. PLoS One. 2015;10(12):e0145279. DOI 10.1371/journal.pone.0145279.; Ponomarenko M., Arkova O., Rasskazov D., Ponomarenko P., Savinkova L., Kolchanov N. Candidate SNP markers of gender­biased autoimmune complications of monogenic diseases are predicted by a significant change in the affinity of TATA­binding protein for human gene promoters. Front. Immunol. 2016;7:130. DOI 10.3389/fimmu.2016.00130.; Ponomarenko M., Mironova V., Gunbin K., Savinkova L. Hogness box. In: Maloy S., Hughes K., (Eds.) Brenner’s Encyclopedia of Genetics. Vol. 3. San Diego: Acad. Press; Elsevier Inc., 2013;491­494. DOI 10.1016/B978­0­12374984­0.00720­8.; Ponomarenko M., Rasskazov D., Arkova O., Ponomarenko P., Suslov V., Savinkova L., Kolchanov N. How to use SNP_TATA_Comparator to find a significant change in gene expression caused by the regulatory SNP of this gene’s promoter via a change in affinity of the TATA­binding protein for this promoter. BioMed Res. Int. 2015;2015:359835. DOI 10.1155/2015/359835.; Ponomarenko P., Chadaeva I., Rasskazov D.A., Sharypova E., Kashina E.V., Drachkova I., Zhechev D., Ponomarenko M.P., Savinkova L.K., Kolchanov N. Candidate SNP markers of familial and sporadic Alzheimer’s diseases are predicted by a significant change in the affinity of TATA­binding protein for human gene promoters. Front. Aging Neurosci. 2017;9:231. DOI 10.3389/fnagi.2017.00231.; Ponomarenko P.M., Ponomarenko M.P., Drachkova I.A., Lysova M.V., Arshinova T.V., Savinkova L.K., Kolchanov N.A. Prediction of the affinity of the TATA­binding protein to TATA boxes with single nucleotide polymorphisms. Mol. Biol. (Mosk.). 2009;43(3):472­479. DOI 10.1134/S0026893309030157.; Ponomarenko P., Rasskazov D., Suslov V., Sharypova E., Savinkova L., Podkolodnaya O., Podkolodny N., Tverdokhleb N., Chadaeva I., Ponomarenko M., Kolchanov N. Candidate SNP markers of chronopathologies are predicted by a significant change in the affinity of TATA­binding protein for human gene promoters. BioMed Res. Int. 2016;2016:8642703. DOI 10.1155/2016/8642703.; Ponomarenko P.M., Savinkova L.K., Drachkova I.A., Lysova M.V., Arshinova T.V., Ponomarenko M.P., Kolchanov N.A. A step­by­step model of TBP/TATA box binding allows predicting human hereditary diseases by single nucleotide polymorphism. Dokl. Biochem. Biophys. 2008;419:88­92. DOI 10.1134/S1607672908020117.; Ponomarenko P.M., Suslov V.V., Savinkova L.K., Ponomarenko M.P., Kolchanov N.A. A precise equilibrium equation for four steps of binding between TBP and TATA­box allows for the prediction of phenotypical expression upon mutation. Biophysics. 2010;55(3): 358­369. DOI 10.1134/S0006350910030036.; Richardson M.L., Helms C.A., Vogler J.B. 3rd, Genant H.K. Skeletal changes in neuromuscular disorders mimicking juvenile rheumatoid arthritis and hemophilia. AJR. Am. J. Roentgenol. 1984;143(4):893­897. DOI 10.2214/ajr.143.4.893.; Rutten M.J., Dijk F., Savci­Heijink C.D., Buist M.R., Kenter G.G., van de Vijver M.J., Jordanova E.S. HLA­G expression is an independent predictor for improved survival in high grade ovarian carcinomas. J. Immunol. Res. 2014;2014:274584. DOI 10.1155/2014/274584.; Sakkas L.I., Daoussis D., Liossis S.N., Bogdanos D.P. The infectious basis of ACPA­positive rheumatoid arthritis. Front. Microbiol. 2017; 8:1853. DOI 10.3389/fmicb.2017.01853.; Sarkander J., Hojyo S., Tokoyoda K. Vaccination to gain humoral immune memory. Clin. Transl. Immunol. 2016;5(12):e120. DOI 10.1038/cti.2016.81.; Sato K., Takahashi N., Kato T., Matsuda Y., Yokoji M., Yamada M., Nakajima T., Kondo N., Endo N., Yamamoto R., Noiri Y., Ohno H., Yamazaki K. Aggravation of collagen­induced arthritis by orally administered Porphyromonas gingivalis through modulation of the gut microbiota and gut immune system. Sci. Rep. 2017;317(1):6955. DOI 10.1038/s41598­017­07196­7.; Savinkova L., Drachkova I., Arshinova T., Ponomarenko P., Ponomarenko M., Kolchanov N. An experimental verification of the predicted effects of promoter TATA­box polymorphisms associated with human diseases on interactions between the TATA boxes and TATA­binding protein. PLoS One. 2013;8(2):e54626. DOI 10.1371/journal.pone.0054626.; Scott D.L., Wolfe F., Huizinga T.W. Rheumatoid arthritis. Lancet. 2010; 376(9746):1094­1108. DOI 10.1016/S0140­6736(10)60826­4.; Sherry S.T., Ward M.H., Kholodov M., Baker J., Phan L., Smigielski E.M., Sirotkin K. dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 2001;29(1):308­311. DOI 10.1093/nar/29.1.308.; Smolen J.S., Aletaha D. Rheumatoid arthritis therapy reappraisal: strategies, opportunities and challenges. Nat. Rev. Rheumatol. 2015; 11(5):276­289. DOI 10.1038/nrrheum.2015.8.; Smolen J.S., Aletaha D., McInnes I.B. Rheumatoid arthritis. Lancet. 2016;388(10055):2023­2038. DOI 10.1016/S0140­6736(16)30173­8.; Sood S., Brownlie R.J., Garcia C., Cowan G., Salmond R.J., Sakaguchi S., Zamoyska R. Loss of the protein tyrosine phosphatase PTPN22 reduces mannan­induced autoimmune arthritis in SKG mice. J. Immunol. 2016;197(2):429­440. DOI 10.4049/jimmunol.1502656.; Starodubtseva N.L., Sobolev V.V., Soboleva A.G., Nikolaev A.A., Bruskin S.A. Genes expression of metalloproteinases (MMP­1, MMP­2, MMP­9, and MMP­12) associated with psoriasis. Russ. J. Genet. 2011;47(9):1117­1123. DOI 10.1134/S102279541109016X.; Staron A., Mąkosa G., Koter­Michalak M. Oxidative stress in erythrocytes from patients with rheumatoid arthritis. Rheumatol. Int. 2012; 32(2):331­334. DOI 10.1007/s00296­010­1611­2.; Suslov V.V., Ponomarenko P.M., Ponomarenko M.P., Drachkova I.A., Arshinova T.V., Savinkova L.K., Kolchanov N.A. TATA box polymorphisms in genes of commercial and laboratory animals and plants associated with selectively valuable traits. Russ. J. Genet. 2010а;46(4):394­403. DOI 10.1134/S1022795410040022.; Suslov V.V., Ponomarenko P.M., Efimov V.M., Savinkova L.K., Ponomarenko M.P., Kolchanov N.A. SNPs in the HIV­1 TATA box and the AIDS pandemic. J. Bioinform. Comput. Biol. 2010b;8(3):607­625. DOI 10.1142/S0219720010004677.; Sziller I., Babula O., Hupuczi P., Nagy B., Rigo B., Szabo G., Papp Z., Linhares I.M., Witkin S.S. Mannose­binding lectin (MBL) codon 54 gene polymorphism protects against development of pre­eclampsia, HELLP syndrome and pre­eclampsia­associated intrauterine growth restriction. Mol. Hum. Reprod. 2007;13(4):281­285. DOI 10.1093/molehr/gam003.; Telenti A., Pierce L.C., Biggs W.H., di Iulio J., Wong E.H., Fabani M.M., Kirkness E.F., Moustafa A., Shah N., Xie C., Brewerton S.C., Bulsara N., Garner C., Metzker G., Sandoval E., Perkins B.A., Och F.J., Turpaz Y., Venter J.C. Deep sequencing of 10,000 human genomes. Proc. Natl. Acad. Sci. USA. 2016;113(42):11901­11906. DOI 10.1073/pnas.1613365113.; Troelsen L.N., Garred P., Christiansen B., Torp­Pedersen C., Christensen I.J., Narvestad E., Jacobsen S. Double role of mannose­binding lectin in relation to carotid intima­media thickness in patients with rheumatoid arthritis. Mol. Immunol. 2010;47(4):713­718. DOI 10.1016/j.molimm.2009.10.021.; Trovato G.M. Sustainable medical research by effective and comprehensive medical skills: overcoming the frontiers by predictive, preventive and personalized medicine. EPMA J. 2014;5(1):14. DOI 10.1186/1878­5085­5­14.; Varzari A., Deyneko I.V., Tudor E., Turcan S. Polymorphisms of glutathione S­transferase and methylenetetrahydrofolate reductase genes in Moldavian patients with ulcerative colitis: Genotype­phenotype correlation. Meta Gene. 2016;7:76­82. DOI 10.1016/j.mgene.2015.12.002.; Vives­Corrons J.L., Rubinson­Skala H., Mateo M., Estella J., Feliu E., Dreyfus J.C. Triosephosphate isomerase deficiency with hemolytic anemia and severe neuromuscular disease: familial and biochemical studies of a case found in Spain. Hum. Genet. 1978;42(2):171­180.; Waardenberg A.J., Basset S.D., Bouveret R., Harvey R.P. CompGO: an R package for comparing and visualizing Gene Ontology enrichment differences between DNA binding experiments. BMC Bioin­formatics. 2015;16:275. DOI 10.1186/s12859­015­0701­2.; Watanabe M., Zingg B.C., Mohrenweiser H.W. Molecular analysis of a series of alleles in humans with reduced activity at the triosephosphate isomerase locus. Am. J. Hum. Genet. 1996;58(2):308­316.; Wu J., Wu M., Li L., Liu Z., Zeng W., Jiang R. dbWGFP: a database and web server of human whole­genome single nucleotide variants and their functional predictions. Database (Oxford). 2016;2016:baw024. DOI 10.1093/database/baw024.; Zerbino D.R., Wilder S.P., Johnson N., Juettemann T., Flicek P.R. The ensembl regulatory build. Genome Biol. 2015;16:56. DOI 10.1186/s13059­015­0621­5.; Zhang J.Q., Xia M., Shen Y.Q., Xu L.H., Yang J., Miao F.Q., Xie W. Research on the mechanisms and the function of abnormal HLA class I expression in hepatocellular carcinoma cell lines. Tissue Antigens. 2007;69(5):415. DOI 10.1111/j.1399­0039.2007.00836.x.; Zhang Y., Proenca R., Maffei M., Barone M., Leopold L., Friedman J.M. Positional cloning of the mouse obese gene and its human homologue. Nature. 1994;372(6505):425­432. DOI 10.1038/372425a0.; Zuber­Jerger I., Kullmann F., Schneidewind A., Scholmerich J. Diagnosis and treatment of a patient with gallstone ileus. Nat. Clin. Pract. Gastroenterol. Hepatol. 2005;2(7):331­335. DOI 10.1038/ncpgasthep0211.; https://vavilov.elpub.ru/jour/article/view/2398

Διαθεσιμότητα: https://vavilov.elpub.ru/jour/article/view/2398
https://doi.org/10.18699/VJ19.586

ABCA1 gene promoter methylation and sudden cardiac death ; Метилирование промотора гена ABCA1 и внезапная сердечная смерть

Συγγραφείς: A. Ivanova A., A. Gurazheva A., E. Akinshina I., S. Maksimova V., S. Malyutina K., V. Novoselov P., I. Rodina A., O. Khamovich V., V. Maksimov N., А. Иванова А., А. Гуражева А., Е. Акиншина И., С. Максимова В., С. Малютина К., В. Новоселов П., И. Родина А., О. Хамович В., В. Максимов Н.

Συνεισφορές: The study was carried out with the financial support of the Russian Foundation for Basic Research and the Government of the Novosibirsk Region (project No. 19-415-543001)., Исследование выполнено при финансовой поддержке РФФИ и Правительства Новосибирской области (проект № 19-415-543001).

Πηγή: Bulletin of Siberian Medicine; Том 19, № 4 (2020); 80-85 ; Бюллетень сибирской медицины; Том 19, № 4 (2020); 80-85 ; 1819-3684 ; 1682-0363 ; 10.20538/1682-0363-2020-19-4

Θεματικοί όροι: sudden cardiac death, methylation, ABCA1, promoter, внезапная сердечная смерть, метилирование, промотор

Περιγραφή αρχείου: application/pdf

Relation: https://bulletin.tomsk.ru/jour/article/view/4153/2873; https://bulletin.tomsk.ru/jour/article/view/4153/2905; Priori S.G., Blomström-Lundqvist C., Mazzanti A., Blom N., Borggrefe M., Camm J., Elliott P.M., Fitzsimons D., Hatala R., Hindricks G., Kirchhof P., Kjeldsen K., Kuck K.H., Hernandez-Madrid A., Nikolaou N., Norekvål T.M., Spaulding C., van Veldhuisen D.J. The task force for the anagement of patients with ventricular arrhythmias and the prevention of sudden cardiac death of the European Society of Cardiology (ESC). G. Ital. Cardiol. 2016; 17 (2): 108–170. DOI:10.1714/2174.23496.; Федеральная служба государственной статистики. Информационно-аналитические материалы. Естественное движение населения. URL: https://gks.ru/compendium/document/13269.; Ghaznavi H., Mahmoodi K., Soltanpour M.S. A preliminary study of the association between the ABCA1 gene promoter DNA methylation and coronary artery disease risk. Mol. Biol. Res. Commun. 2018; 7 (2): 59–65. DOI:10.22099/mbrc.2018.28910.1312.; Nazarenko M.S., Markov A.V., Lebedev I.N., Freidin M.B., Sleptcov A.A., Koroleva I.A., Frolov A.V., Popov V.A., Barbarash O.L., Puzyrev V.P. A comparison of genome- wide DNA methylation patterns between different vascular tissues from patients with coronary heart disease. PLoS One. 2015; 10 (4): e0122601. DOI:10.1371/journal.pone.0122601.; Wang X., Liu A.H., Jia Z.W., Pu K., Chen K.Y., Guo H. Genome-wide DNA methylation patterns in coronary heart disease. Herz. 2018; 43 (7): 656–662. DOI:10.1007/s00059-017-4616-8.; Banerjee S., Ponde C.K., Rajani R.M., Ashavaid T.F. Differential methylation pattern in patients with coronary artery disease: pilot study. Mol. Biol. Rep. 2019; 46 (1): 541–550. DOI:10.1007/s11033-018-4507-y.; Guay S.P., Légaré C., Brisson D., Mathieu P., Bossé Y., Gaudet D., Bouchard L. Epigenetic and genetic variations at the TNNT1 gene locus are associated with HDL-C levels and coronary artery disease. Epigenomics. 2016; 8 (3): 359–371. DOI:10.2217/epi.15.120.; Infante T., Forte E., Schiano C., Punzo B., Cademartiri F., Cavaliere C., Salvatore M., Napoli C. Evidence of association of circulating epigenetic-sensitive biomarkers with suspected coronary heart disease evaluated by cardiac computed tomography. PLoS One. 2019; 14 (1): e0210909. DOI:10.1371/journal.pone.0210909.; Ma S.C., Zhang H.P., Kong F.Q., Zhang H., Yang C., He Y.Y., Wang Y.H., Yang A.N., Tian J., Yang X.L., Zhang M.H., Xu H., Jiang Y.D., Yu Z. Integration of gene expression and DNA methylation profiles provides a molecular subtype for risk assessment in atherosclerosis. Mol. Med. Rep. 2016; 13 (6): 4791–4799. DOI:10.3892/mmr.2016.5120.; Fujii R., Yamada H., Munetsuna E., Yamazaki M., Mizuno G., Tsuboi Y., Ohashi K., Ishikawa H., Ando Y., Hagiwara C., Maeda K., Hashimoto S., Hamajima N., Suzuki K. Dietary vegetable intake is inversely associated with ATP-binding cassette protein A1 (ABCA1) DNA methylation levels among Japanese women. Nutrition. 2019; 65: 1–5. DOI:10.1016/j.nut.2019.02.010.; Fujii R., Yamada H., Munetsuna E., Yamazaki M., Ando Y., Mizuno G., Tsuboi Y., Ohashi K., Ishikawa H., Hagiwara C., Maeda K., Hashimoto S., Suzuki K. Associations between dietary vitamin intake, ABCA1 gene promoter DNA methylation, and lipid profiles in a Japanese population. Am. J. Clin. Nutr. 2019; 110 (5): 1213–1219. DOI:10.1093/ajcn/nqz181.; Lu Y., Liu Y., Li Y., Zhang H., Yu M., Kanu J.S., Qiao Y., Tang Y., Zhen Q., Cheng Y. Association of ATP-binding cassette transporter A1 gene polymorphisms with plasma lipid variability and coronary heart disease risk. Int. J. Clin. Exp. Pathol. 2015; 8 (10): 13441–13449.; Wang F., Ji Y., Chen X., Song Y., Huang S., Zhou C., Huang C., Chen Z., Zhang L., Ge J. ABCA1 variants rs2230806 (R219K), rs4149313 (M8831I), and rs9282541 (R230C) are associated with susceptibility to coronary heart disease. J. Clin. Lab. Anal. 2019; 33 (6): e22896. DOI:10.1002/jcla.22896.; Smirnov G.P., Malyshev P.P., Rozhkova T.A., Zubareva M.Y., Shuvalova Y.A., Rebrikov D.V., Titov V.N. The effect of ABCA1 rs2230806 common gene variant on plasma lipid levels in patients with dyslipidemia. Klin. Lab. Diagn. 2018; 63 (7): 410–413. DOI:10.18821/0869-2084 -2018-63-7-410-413.; Ma Y., Follis J.L., Smith C.E., Tanaka T., Manichaikul A.W., Chu A.Y., Samieri C., Zhou X., Guan W., Wang L., Biggs M.L., Chen Y.D., Hernandez D.G., Borecki I., Chasman D., Rich S.S., Ferrucci L., Irvin M.R., Aslibekyan S., Zhi D., Tiwari H.K., Claas S.A., Sha J., Kabagambe E.K., Lai C.Q., Parnell L.D., Lee Y.C., Amouyel P., Lambert J.C., Psaty B.M., King I.B., Mozaffarian D., McKnight B., Bandinelli S., Tsai M.Y., Ridker P.M., Ding J., Mstat K.L., Liu Y., Sotoodehnia N., Barberger-Gateau P., Steffen L.M., Siscovick D.S., Absher D., Arnett D.K., Ordovás J.M., Lemaitre RN interaction of methylation-related genetic variants with circulating fatty acids on plasma lipids: a meta-analysis of 7 studies and methylation analysis of 3 studies in the cohorts for heart and aging research in genomic pidemiology consortium. Am. J. Clin. Nutr. 2016; 103 (2): 567–578. DOI:10.3945/ajcn.115.112987.; https://bulletin.tomsk.ru/jour/article/view/4153

Διαθεσιμότητα: https://bulletin.tomsk.ru/jour/article/view/4153
https://doi.org/10.20538/1682-0363-2020-4-80-85

Candidate SNP-markers altering TBP binding affinity for promoters of the Y-linked genes CDY2A, SHOX, and ZFY are lowering many indexes of reproductive potential in men ; Кандидатные SNP-маркеры, изменяющие сродство ТВР к промоторам Y-связанных генов CDY2A, SHOX, ZFY, снижают ряд показателей репродуктивного потенциала мужчин

Συγγραφείς: M. P. Ponomarenko, E. B. Sharypova, I. A. Drachkova, L. K. Savinkova, I. V. Chadaeva, D. A. Rasskazov, P. M. Ponomarenko, L. V. Osadchuk, A. V. Osadchuk, М. П. Пономаренко, Е. Б. Шарыпова, И. А. Драчкова, Л. К. Савинкова, И. В. Чадаева, Д. А. Рассказов, П. М. Пономаренко, Л. В. Осадчук, А. В. Осадчук

Συνεισφορές: Идея, общая координация работы, компьютерные прогнозы и их биологическая интерпретация (ЛВО и АВО) осуществлены при поддержке гранта Российского научного фонда (проект № 19-15-00075). Текст рукописи написан МПП и ИВЧ при поддержке Минобрнауки РФ по Программе повышения конкурентоспособности российских университетов среди мировых научно-образовательных центров (Проект 5-100), Web-сервис (ПМП и ДАР) и эксперимент in vitro (ЕБШ, ИАД и ЛКС) – при поддержке бюджетных проектов № 0324-2019-0040-C-01 и № 0324-2019-0042-C-01 соответственно.

Πηγή: Vavilov Journal of Genetics and Breeding; Том 24, № 7 (2020); 785-793 ; Вавиловский журнал генетики и селекции; Том 24, № 7 (2020); 785-793 ; 2500-3259 ; 10.18699/VJ20.662

Θεματικοί όροι: верификация in vitro, reproductive potential, chromosome Y, gene, promoter, TATA-binding protein (TBP), TBP-binding site (TATA-box), single nucleotide polymorphism (SNP), candidate SNP marker, verification in vitro, репродуктивный потенциал, хромосома Y, ген, промотор, TATA-связывающий белок (TBP), TBP-связывающий сайт (ТATA-бокс), однонуклеотидный полиморфизм (SNP), SNP-маркер

Περιγραφή αρχείου: application/pdf

Relation: https://vavilov.elpub.ru/jour/article/view/2822/1446; Amberger J., Bocchini C., Schiettecatte F., Scott A., Hamosh A. OMIM. org: Online Mendelian Inheritance in Man (OMIM®), an online catalog of human genes and genetic disorders. Nucleic Acids Res. 2015;43(D1):D789-D798. DOI 10.1093/nar/gku1205.; Arkova O.V., Ponomarenko M.P., Rasskazov D.A., Drachkova I.A., Arshinova T.V., Ponomarenko P.M., Savinkova L.K., Kolchanov N.A. Obesity-related known and candidate SNP markers can significantly change affinity of TATA-binding protein for human gene promoters. BMC Genomics. 2015;16(Suppl. 13):S5. DOI 10.1186/1471-2164-16-S13-S5.; Axelsson J., Bonde J.P., Giwercman Y.L., Rylander L., Giwercman A. Gene-environment interaction and male reproductive function. Asian J. Androl. 2010;12(3):298-307. DOI 10.1038/aja.2010.16.; Bellott D.W., Hughes J.F., Skaletsky H., Brown L.G., Pyntikova T., Cho T.-J., Koutseva N., Zaghlul S., Graves T., Rock S., Kremitzki C., Fulton R.S., Dugan S., Ding Y., Morton D., Khan Z., Lewis L., Buhay C., Wang Q., Watt J., Holder M., Lee S., Nazareth L., Alfoldi J., Rozen S., Muzny D.M., Warren W.C., Gibbs R.A., Wilson R.K., Page D.C. Mammalian Y chromosomes retain widely expressed dosage-sensitive regulators. Nature. 2014;508(7497):494-499. DOI 10.1038/nature13206.; Bowles J.T. The evolution of aging: a new approach to an old problem of biology. Med. Hypotheses. 1998;51(3):179-221. DOI 10.1016/s0306-9877(98)90079-2.; Brosens E., de Jong E., Barakat T., Eussen B., D’Haene B., De Baere E., Verdin H., Poddighe P., Galjaard R., Gribnau J., Brooks A., Tibboel D., de Klein A. Structural and numerical changes of chromosome X in patients with esophageal atresia. Eur. J. Hum. Genet. 2014;22:1077-1084. DOI 10.1038/ejhg.2013.295.; Chadaeva I.V., Ponomarenko M.P., Rasskazov D.A., Sharypova E.B., Kashina E.V., Matveeva M.Yu., Arshinova T.V., Ponomarenko P.M., Arkova O.V., Bondar N.P., Savinkova L.K., Kolchanov N.A. Candidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters. BMC Genomics. 2016;17(Suppl. 14):995. DOI 10.1186/s12864-016-3353-3.; Chadaeva I., Ponomarenko P., Rasskazov D., Sharypova E., Kashina E., Zhechev D., Drachkova I., Arkova O., Savinkova L., Ponomarenko M., Kolchanov N., Osadchuk L., Osadchuk A. Candidate SNP markers of reproductive potential are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters. BMC Genomics. 2018;19(Suppl. 3):19. DOI 10.1186/s12864-018-4478-3.; Chadaeva I., Ponomarenko P., Rasskazov D., Sharypova E., Kashina E., Kleshchev M., Ponomarenko M., Naumenko V., Savinkova L., Kolchanov N., Osadchuk L., Osadchuk A. Natural selection equally supports the human tendencies in subordination and domination: a genome-wide study with in silico confirmation and in vivo validation in mice. Front. Genet. 2019;10:73. DOI 10.3389/fgene.2019.00073.; Chapman R.N. Animal Ecology with Special Reference to Insects. N. Y.; London: McGraw-Hill Book Co Inc, 1931. Coleman R., Taggart A., Benjamin L., Pugh B. Dimerization of the TATA binding protein. J. Biol. Chem. 1995;270:13842-13849.; Cunningham F., Achuthan P., Akanni W., Allen J., Amode M., Armean I., Bennett R., Bhai J., Billis K., Boddu S., Cummins C., Davidson C., Dodiya K., Gall A., Giron C., Gil L., Grego T., Haggerty L., Haskell E., Hourlier T., Izuogu O., Janacek S., Juettemann T., Kay M., Laird M., Lavidas I., Liu Z., Loveland J., Marugan J., Maurel T., McMahon A., Moore B., Morales J., Mudge J., Nuhn M., Ogeh D., Parker A., Parton A., Patricio M., Abdul Salam A., Schmitt B., Schuilenburg H., Sheppard D., Sparrow H., Stapleton E., Szuba M., Taylor K., Threadgold G., Thormann A., Vullo A., Walts B., Winterbottom A., Zadissa A., Chakiachvili M., Frankish A., Hunt S., Kostadima M., Langridge N., Martin F., Muffato M., Perry E., Ruffier M., Staines D., Trevanion S., Aken B., Yates A., Zerbino D., Flicek P. Ensembl 2019. Nucleic Acids Res. 2019;47(D1):D745-D751. DOI 10.1093/nar/gky1113.; Drachkova I.A., Lysova M.V., Repkova M.N., Prokuda O.V., Sokolenko A.A., Arshinova T.V., Kobzev V.F., Iamkovoĭ V.I., Savinkova L.K. Interaction of proteins from general transcription complex RNA polymerase II with oligoribonucleotides. Mol. Biol. (Mosk). 2005;39(1):139-146.; Haeussler M., Raney B.J., Hinrichs A.S., Clawson H., Zweig A.S., Karolchik D., Casper J., Speir M.L., Haussler D., Kent W.J. Navigating protected genomics data with UCSC Genome Browser in a box. Bioinformatics. 2015;31(5):764-766. DOI 10.1093/bioinformatics/btu712.; Haldane J.B.S. The cost of natural selection. J. Genet. 1957;55:511-524. DOI 10.1007/BF02984069.; Jan S.Z., Jongejan A., Korver C.M., van Daalen S.K.M., van Pelt A.M.M., Repping S., Hamer G. Distinct prophase arrest mechanisms in human male meiosis. Development. 2018;145(16):dev160614. DOI 10.1242/dev.160614.; Kimura M. Evolutionary rate at the molecular level. Nature. 1968; 217(5129):624-626. DOI 10.1038/217624a0.; Lu Z. PubMed and beyond: a survey of web tools for searching biomedical literature. Database (Oxford). 2011;2011:baq036. DOI 10.1093/database/baq036.; Martianov I., Viville S., Davidson I. RNA polymerase II transcription in murine cells lacking the TATA binding protein. Science. 2002; 298(5595):1036-1039. DOI 10.1126/science.1076327.; Mitsuyasu H., Izuhara K., Mao X., Gao P., Arinobu Y., Enomoto T., Kawai M., Sasaki S., Dake Y., Hamasaki N., Shirakawa T., Hopkin J. Ile50Val variant of IL4R-alpha upregulates IgE synthesis and associates with atopic asthma. Nat. Genet. 1998;19:119-120. DOI 10.1038/472.; Mogno I., Vallania F., Mitra R.D., Cohen B.A. TATA is a modular component of synthetic promoters. Genome Res. 2010;20(10):1391-1397. DOI 10.1101/gr.106732.110.; Peterson M.G., Tanese N., Pugh B.F., Tjian R. Functional domains and upstream activation properties of cloned human TATA binding protein. Science. 1990;248(4963):1625-1630.; Pianka E.R. Natural selection of optimal reproductive tactics. Am. Zool. 1976;16(4):775-784. www.jstor.org/stable/3882142.; Pocai B. The ICD-11 has been adopted by the World Health Assembly. World Psychiatry. 2019;18(3):371-372. DOI 10.1002/wps.20689.; Ponomarenko M., Arkova O., Rasskazov D., Ponomarenko P., Savinkova L., Kolchanov N. Candidate SNP markers of gender-biased autoimmune complications of monogenic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters. Front. Immunol. 2016;7:130. DOI 10.3389/fimmu.2016.00130.; Ponomarenko M., Mironova V., Gunbin K., Savinkova L. Hogness Box. In: Maloy S., Hughes K. (Eds.). Brenner’s Encyclopedia of Genetics. 2nd edn. San Diego: Academic Press, Elsevier Inc. 2013;3: 491-494. DOI 10.1016/B978-0-12-374984-0.00720-8.; Ponomarenko M., Rasskazov D., Arkova O., Ponomarenko P., Suslov V., Savinkova L., Kolchanov N. How to use SNP_TATA_Comparator to find a significant change in gene expression caused by the regulatory SNP of this gene’s promoter via a change in affinity of the TATA-binding protein for this promoter. Biomed. Res. Int. 2015; 2015:35983004625. DOI 10.1155/2015/359835.; Ponomarenko M., Rasskazov D., Chadaeva I., Sharypova E., Drachkova I., Ponomarenko P., Oshchepkova E., Savinkova L., Kolchanov N. Candidate SNP markers of atherosclerosis that may significantly change the affinity of the TATA-Binding protein for the human gene promoters. Russ. J. Genet. 2019;55(9):1137-1151. DOI 10.1134/s1022795419090114.; Ponomarenko M., Rasskazov D., Chadaeva I., Sharypova E., Ponomarenko P., Arkova O., Kashina E., Ivanisenko N., Zhechev D., Savinkova L., Kolchanov N. SNP_TATA_Comparator: genomewide landmarks for preventive personalized medicine. Front. Biosci. (Schol Ed.). 2017;9(2):276-306. DOI 10.2741/S488.; Ponomarenko P., Chadaeva I., Rasskazov D., Sharypova E., Kashina E.V., Drachkova I., Zhechev D., Ponomarenko M., Savinkova L., Kolchanov N. Candidate SNP markers of familial and sporadic Alzheimer’s diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters. Front. Aging Neurosci. 2017;9:231. DOI 10.3389/fnagi.2017.00231.; Ponomarenko P., Rasskazov D., Suslov V., Sharypova E., Savinkova L., Podkolodnaya O., Podkolodny N., Tverdokhleb N., Chadaeva I., Ponomarenko M., Kolchanov N. Candidate SNP markers of chronopathologies are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters. BioMed Res. Int. 2016;2016:8642703. DOI 10.1155/2016/8642703.; Ponomarenko P., Savinkova L., Drachkova I., Lysova M., Arshinova T., Ponomarenko M., Kolchanov N. A step-by-step model of TBP/TATA box binding allows predicting human hereditary diseases by single nucleotide polymorphism. Dokl. Biochem. Biophys. 2008;419:88-92. DOI 10.1134/S1607672908020117.; Pugh B.F. Purification of the human TATA-binding protein, TBP. Methods Mol. Biol. 1995;37:359-367. DOI 10.1385/0-89603-288-4:359.; Putlyaeva L.V., Demin D.E., Korneev K.V., Kasyanov A.S., Tatosyan K.A., Kulakovskiy I.V., Kuprash D.V., Schwartz A.M. Potential markers of autoimmune diseases, alleles rs115662534(T) and rs548231435(C), disrupt the binding of transcription factors STAT1 and EBF1 to the regulatory elements of human CD40 gene. Biochemistry (Mosc). 2018;83(12):1534-1542. DOI 10.1134/S0006297918120118.; Ramachandrappa S., Kulkarni A., Gandhi H., Ellis C., Hutt R., Roberts L., Hamid R., Papageorghiou A., Mansour S. SHOX haploinsufficiency presenting with isolated short long bones in the second and third trimester. Eur. J. Hum. Genet. 2018;26:350-358. DOI 10.1038/ s41431-017-0080-4. Rhee H., Pugh B. Genome-wide structure and organization of eukaryotic pre-initiation complexes. Nature. 2012;483(7389):295-301. DOI 10.1038/nature10799.; Sharypova E., Drachkova I., Kashina E., Rasskazov D., Ponomarenko P., Ponomarenko M., Kolchanov N., Savinkova L. An experimental study of the effect of rare polymorphisms of human HBB, HBD and F9 promoter TATA boxes on the kinetics of interaction with the TATA-binding protein. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov Journal of Genetics and Breeding. 2018;22(1):145-152. DOI 10.18699/VJ18.342. (in Russian); Sherry S.T., Ward M.H., Kholodov M., Baker J., Phan L., Smigielski E.M., Sirotkin K. dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 2001;29(1):308-311. DOI 10.1093/nar/29.1.308.; Stahl P., Mielnik A., Barbieri C., Schlegel P., Paduch D. Deletion or underexpression of the Y-chromosome genes CDY2 and HSFY is associated with maturation arrest in American men with nonobstructive azoospermia. Asian J. Androl. 2012;14(5):676-682. DOI 10.1038/aja.2012.55.; Stajich J., Block D., Boulez K., Brenner S., Chervitz S., Dagdigian C., Fuellen G., Gilbert J., Korf I., Lapp H., Lehvaslaiho H., Matsalla C., Mungall C., Osborne B., Pocock M., Schattner P., Senger M., Stein L., Stupka E., Wilkinson M., Birney E. The Bioperl toolkit: Perl modules for the life sciences. Genome Res. 2002;12(10):1611-1618. DOI 10.1101/gr.361602.; Telenti A., Pierce L.C., Biggs W.H., di Iulio J., Wong E.H., Fabani M.M., Kirkness E.F., Moustafa A., Shah N., Xie C., Brewer-ton S.C., Bulsara N., Garner C., Metzker G., Sandoval E., Perkins B.A., Och F.J., Turpaz Y., Venter J.C. Deep sequencing of 10,000 human genomes. Proc. Natl. Acad. Sci. USA. 2016;113(42):11901-11906. DOI 10.1073/pnas.1613365113.; Trovato G.M. Sustainable medical research by effective and comprehensive medical skills: overcoming the frontiers by predictive, preventive and personalized medicine. EPMA J. 2014;5(1):14. DOI 10.1186/1878-5085-5-14.; Turnaev I., Rasskazov D., Arkova O., Ponomarenko M., Ponomarenko P., Savinkova L., Kolchanov N. Hypothetical SNP markers that significantly affect the affinity of the TATA-binding protein to VEGFA, ERBB2, IGF1R, FLT1, KDR, and MET oncogene promoters as chemotherapy targets. Mol. Biol. (Mosc). 2016;50(1):161-173. DOI 10.7868/S0026898416010201.; Varzari A., Deyneko I.V., Tudor E., Turcan S. Polymorphisms of glutathione S-transferase and methylenetetrahydrofolate reductase genes in Moldavian patients with ulcerative colitis: Genotype-phenotype correlation. Meta Gene. 2016;7:76-82. DOI 10.1016/j.mgene.2015.12.002.; Waardenberg A.J., Basset S.D., Bouveret R., Harvey R.P. CompGO: an R package for comparing and visualizing Gene Ontology enrichment differences between DNA binding experiments. BMC Bioinformatics. 2015;16:275.; Wu J., Wu M., Li L., Liu Z., Zeng W., Jiang R. dbWGFP: a database and web server of human whole-genome single nucleotide variants and their functional predictions. Database (Oxford). 2016;2016: baw024. DOI 10.1093/database/baw024.; Yoo S., Jin C., Jung D., Choi Y., Choi J., Lee W., Lee S., Lee J., Cha S., Kim C., Seok Y., Lee E., Park J. Putative functional variants of XRCC1 identified by RegulomeDB were not associated with lung cancer risk in a Korean population. Cancer Genet. 2015;208(1-2): 19-24. DOI 10.1016/j.cancergen.2014.11.004.; Zerbino D.R., Wilder S.P., Johnson N., Juettemann T., Flicek P.R. The ensembl regulatory build. Genome Biol. 2015;16(1):56. DOI 10.1186/s13059-015-0621-5.; https://vavilov.elpub.ru/jour/article/view/2822

Διαθεσιμότητα: https://vavilov.elpub.ru/jour/article/view/2822
https://doi.org/10.18699/VJ20.674

Electrochemical synthesis of peroxyacetic acid on Pt/PtO and PbO₂ anodes

Συγγραφείς: Bilous, T. A., Tulskaya, A. G., Ryshchenko, I. M., Chahine, I., Bairachnyi, V. B.

Θεματικοί όροι: peroxyacetic acid, acetic acid, lead-dioxide anode, promoter, platinum anode, peroxide particles, оцтова кислота, диоксид свинцевий анод, платиновий анод, перокси-частинки, промотор, хімічні технології

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://repository.kpi.kharkov.ua/handle/KhPI-Press/57541

РАЗРАБОТКА ХИМИЧЕСКИХ РЕАГЕНТОВ И ГИДРАТНОИ ТЕХНОЛОГИИ ДЛЯ РЕШЕНИЯ ПРОБЛЕМ ДОБЫЧИ, ТРАНСПОРТА И ХРАНЕНИЯ УГЛЕВОДОРОДНОГО СЫРЬЯ В УСЛОВИЯХ ХОЛОДНОГО КЛИМАТА

Θεματικοί όροι: газовый гидрат, ингибитор гидратообразования, промотор гидратообразования

ИССЛЕДОВАНИЕ ПРОЦЕССА ПОЛУЧЕНИЯ ГАЗОВОГО ГИДРАТА И ПРЕССОВАНИЯ ПЕЛЛЕТ В ЛАБОРАТОРНОЙ УСТАНОВКЕ

Θεματικοί όροι: гидратные пеллеты, promoter, laboratory installation, гидрат метана, лабораторная установка, pellets, промотор, methane hydrate

Вплив промоторів лужного характеру на фізико-хімічні показники каталізатора конверсії карбон (II) оксиду водяною парою ; The effect of the alkaline promoters on the physical and chemical characteristics of the co-shift conversion catalyst

Συγγραφείς: Лобойко, Вячеслав Олексійович, Товажнянський, Леонід Леонідович, Кобзєв, Олександр Вікторович, Сінческул, Олександр Леонідович

Θεματικοί όροι: конверсія, каталізатор, карбон оксид, амоніак, водень, промотор, conversion, catalyst, carbon monoxide, ammonia, hydrogen, promoter

Περιγραφή αρχείου: application/pdf

Relation: Вплив промоторів лужного характеру на фізико-хімічні показники каталізатора конверсії карбон (II) оксиду водяною парою / В. О. Лобойко [та ін.] // Вчені записки Таврійського національного університету ім. В. І. Вернадського. Сер. : Технічні науки. – 2019. – Т. 30 (69), № 6, ч. 2. – С. 57-62.; http://repository.kpi.kharkov.ua/handle/KhPI-Press/44388

Διαθεσιμότητα: http://repository.kpi.kharkov.ua/handle/KhPI-Press/44388

Промотор адгезии резины к металлокорду

Θεματικοί όροι: изделия с повышенной адгезией резин к латунированному металлокорду, резинотехническая промышленность, промотор адгезии резины, металлокорд, шинная промышленность, производство резинометаллических изделий, изделия с высокой устойчивостью адгезионного соединения к воздействию растворов солей

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://elib.belstu.by/handle/123456789/59410

Вплив промоторів лужного характеру на фізико-хімічні показники каталізатора конверсії карбон (II) оксиду водяною парою

Θεματικοί όροι: promoter, hydrogen, каталізатор, водень, амоніак, conversion, промотор, ammonia, карбон оксид, carbon monoxide, конверсія, catalyst

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://repository.kpi.kharkov.ua/handle/KhPI-Press/44388

AN EXPERIMENTAL STUDY OF THE EFFECT OF RARE POLYMORPHISMS OF HUMAN HBB, HBD AND F9 PROMOTER TATA BOXES ON THE KINETICS OF INTERACTION WITH THE TATA-BINDING PROTEIN ; ЭКСПЕРИМЕНТАЛЬНОЕ ИЗУЧЕНИЕ ВЛИЯНИЯ РЕДКИХ ПОЛИМОРФИЗМОВ ТАТА-БОКСОВ ПРОМОТОРОВ ГЕНОВ HBB, HBD И F9 ЧЕЛОВЕКА НА КИНЕТИКУ ВЗАИМОДЕЙСТВИЯ С ТАТА-СВЯЗЫВАЮЩИМ БЕЛКОМ

Συγγραφείς: E. B. Sharypova, I. A. Drachkova, E. V. Kashina, D. A. Rasskazov, P. M. Ponomarenko, M. P. Ponomarenko, N. А. Kolchanov, L. K. Savinkova, Е. Б. Шарыпова, И. А. Драчкова, Е. В. Кашина, Д. А. Рассказов, П. М. Пономаренко, М. П. Пономаренко, Н. А. Колчанов, Л. К. Савинкова

Συνεισφορές: State Budgeted Project 03242018-0019, The development of the service pack of the Web service was supported by State Budgeted Project 03242018-0017, Computerized data analysis was supported by the Russian Federation Ministry of Education and Science, Program for improving the competitiveness of leading Russian universities among leading research and educational centers in the world (Project 5-100) and Integration Project 03242018-0021

Πηγή: Vavilov Journal of Genetics and Breeding; Том 22, № 1 (2018); 145-152 ; Вавиловский журнал генетики и селекции; Том 22, № 1 (2018); 145-152 ; 2500-3259

Θεματικοί όροι: ТАТА-бокс, hematopoies genes, rare polymorphisms, orphan diseases, promoter, TATA-box, гены кроветворения, редкие полиморфизмы, орфанные заболевания, промотор

Περιγραφή αρχείου: application/pdf

Relation: https://vavilov.elpub.ru/jour/article/view/1375/1043; Bank A., O’Neill D., Lopez R., Pulte D., Ward M., Mantha S., Richardson C. Role of intergenic human γ-δ-globin sequences in human hemoglobin switching and reactivation of fetal hemoglobin in adult erythroid cells. Ann. N. Y. Acad. Sci. 2005;1054:48-54.; Bell C.J., Dinwiddie D.L., Miller N.A., Hateley S.L. Carrier testing for severe childhood recessive diseases by next-generation sequencing. Sci. Transl. Med. 2011;3:65ra4. DOI 10.1126/scitranslmed.3001756.; Cavalli M., Pan G., Nord H., Wallerman O., Arzt E.W., Berggren O., Elvers I., Eloranta M.-L., Rönnblom L., Toh K.L., Wadelius C. Allelespecific transcription factor binding to common and rare variants associated with disease and gene expression. Hum. Genet. 2016;135: 485-497.; Dharssi S., Wong-Rieger D., Harold M., Terry S. Review of 11 national policies for rare diseases in the context of key patient needs. Orphanet J. Rare Dis. 2017;12:63.; Dooms M. From promising molecules to orphan drugs: Early clinical drug development. Intractable Rare Dis. Res. 2017;(1):29-34. DOI 10.5582/irdr.2016.01094.; Drachkova I.A., Arshinova T.V., Ponomarenko P.M., Merkulova T.I., Kolchanov N.A., Savinkova L.K. Effect of Tata box polymorphisms in the human β-globin gene promoter associated with β-thalassemia on the interaction of the Tata-binding protein. Vestnik VOGiS = Herald Vavilov Society for Geneticists Breeding Scientists. 2010;14(4):698-705. (in Russian); Drachkova I., Savinkova L., Arshinova T., Ponomarenko M., Peltek S., Kolchanov N. The mechanism by which TATA-box polymorphisms associated with human hereditary diseases influence interactions with the TATA-binding protein. Hum. Mutat. 2014;35(5):601-608. DOI 10.1002/humu.22535.; Frischknecht H., Dutly F. Two new delta-globin mutations: Hb A2-Ninive [!delta133(H11)Val-Ala] and a delta(+)-thalassemia mutation [-31 (A→G)] in the TATA box of the delta-globin gene. Hemoglobin. 2005;29(2):151-154.; Galanello R., Origa R. Beta-thalassemia. Orphanet J. Rare Dis. 2010; 5:11.; Haeussler M., Raney B.J., Hinrichs A.S., Clawson H., Zweig A.S., Karolchik D., Casper J., Speir M.L., Haussler D., Kent W.J. Navigating protected genomics data with UCSC genome browser in a box. Bioinformatics. 2015;31(5):764-766. DOI 10.1093/bioinformatics/ btu712.; Keinan A., Clark A.G. Recent explosive human population growth has resulted in an excess of rare genetic variants. Science. 2012;336: 740-743.; Kheradpour P., Ernst J., Melnikov A., Rogov P., Wang L., Zhang X., Alston J., Mikkelsen T.S., Kellis M. Systematic dissection of regulatory motifs in 2000 predicted human enhancers using a massively parallel reporter assay. Genome Res. 2013;23(5):800-811. DOI 10.1101/gr.144899.112.; Kolchanov N.A., Ponomarenko P.M., Savinkova L.K., Drachkova I.A., Lysova M.V., Arshinova T.V., Ponomarenko M.P. A step-by-step model of TBP/TATA box binding allows predicting human hereditary diseases by single nucleotide polymorphism. Dokl. Biochem. Biophys. 2008;419:88-92.; Kurachi K., Davie E.W. Isolation and characterization of a cDNA coding for human factor IX. Proc. Natl. Acad. Sci. USA. 1982;79(21):64616464.; Levings P.P., Bungert J. The human beta-globin locus control region. Eur. J. Biochem. 2002;269:1589-1599.; MacArthur D.G., Manolio T.A., Dimmock D.P., Rehm H.L., Shendure J., Abecasis G.R., Adams D.R., Altman R.B., Antonarakis S.E., Ashley E.A., Barrett J.C., Biesecker L.G., Conrad D.F., Cooper G.M., Cox N.J., Daly M.J., Gerstein M.B., Goldstein D.B., Hirschhorn J.N., LealS.M., PennacchioL.A., StamatoyannopoulosJ.A., SunyaevS.R., Valle D., Voight B.F., Winckler W., Gunter C. Guidelines for investigating causality of sequence variants in human disease. Nature. 2014;508(7497):469-476. DOI 10.1038/nature13127.; Moleirinho A., Seixas S., Lopes A.M., Bento C., Prata M.J., Amorim A. Evolutionary сonstraints in the β-globin cluster: the signature of purifying selection at the δ-globin (HBD) locus and its role in developmental gene regulation. Genome Biol. Evol. 2013;5(3):559-571. DOI 10.1093/gbe/evt029.; Persyn E., Karakachoff M., Scouarnec S. Le, Clézio C. Le, Campion D., French Exome Consortium Schott J.-J., Redon R., Bellanger L., Dina C. DoEstRare: A statistical test to identify local enrichments in rare genomic variants associated with disease. PLoS ONE. 12(7). DOI 10.1371/journal.pone.0179364.; Picketts D.J., Mueller C.R., Lillicrap D. Transcriptional control of the factor IX gene: analysis of five cis-acting elements and the deleterious effects of naturally occurring hemophilia B Leyden mutations. Blood. 1994;84(9):2992-3000.; Ponomarenko M., Rasskazov D., Arkova O., Ponomarenko P., Suslov V., Savinkova L., Kolchanov N. How to use SNP_TATA_Comparator to find a significant change in gene expression caused by the regulatory SNP of this gene’s promoter via a change in affinity of the TATA-binding protein for this promoter. Biomed. Res. Int. 2015; 2015:359835. DOI 10.1155/2015/359835.; Savinkova L., Drachkova I., Arshinova T., Ponomarenko P., Ponomarenko M., Kolchanov N. An experimental verification of the predicted effects of promoter TATA-box polymorphisms associated with human diseases on interactions between the TATA boxes and TATA-binding protein. PLoS ONE. 2013;8(2):22-23.; Schechter A.N. Hemoglobin research and the origins of molecular medicine. Blood. 2008;112(10):3927-3938. DOI 10.1182/blood-200804-078188.; Sherry S.T., Ward M.H., Kholodov M., Baker J., Phan L., Smigielski E.M., Sirotkin K. dbSNP: the NCBI database of genetic variation. Nucleic Acids Res. 2001;29(1):308-311. DOI 10.1093/nar/29.1.308.; Steinberg M., Adams J.G. 3rd Hemoglobin A2: origin, evolution, and aftermath. Blood. 1991;78:2165-2177.; Wu J., Wu M., Li L., Liu Z., Zeng W., Jiang R. dbWGFP: a database and web server of human whole-genome single nucleotide variants and their functional predictions. Database (Oxford). 2016;pii: baw024. DOI 10.1093/database/baw024.; https://vavilov.elpub.ru/jour/article/view/1375

Διαθεσιμότητα: https://vavilov.elpub.ru/jour/article/view/1375
https://doi.org/10.18699/VJ18.342