Showing 1 - 4 results of 4 for search '"преимплантационный генетический скрининг"', query time: 0.59s Refine Results
  1. 1
    Academic Journal

    Contributors: The study was supported by the Russian Science Foundation grant No. 20-74-00064 (2020-2021)., Исследование поддержано грантом РНФ №20-74-00064 (2020-2021 гг.) «Реконструкция мутационных процессов у эмбрионов человека на преимплантационном этапе развития на основе цифрового кариотипирования единичных клеток бластоцист».

    Source: Medical Genetics; Том 23, № 10 (2024); 11-20 ; Медицинская генетика; Том 23, № 10 (2024); 11-20 ; 2073-7998

    File Description: application/pdf

    Relation: https://www.medgen-journal.ru/jour/article/view/2558/1820; Shaw L., Sneddon S.F., Zeef L., et al. Global gene expression profiling of individual human oocytes and embryos demonstrates heterogeneity in early development. Plos One. 2013;8(5):e64192.; Rossant J., Tam P.P. Early human embryonic development: Blastocyst formation to gastrulation. Dev Cell. 2022;57(2):152-165.; Alfarawati S., Fragouli E., Colls P., et al. The relationship between blastocyst morphology, chromosomal abnormality, and embryo gender. Fertil Steril. 2011;95(2):520-524.; Schoolcraft W.B., Gardner D.K., Lane M., et al. Blastocyst culture and transfer: analysis of results and parameters affecting outcome in two in vitro fertilization programs. Fertil Steril. 1999;72(4):604-609.; Andrews S. FastQC: a quality control tool for high throughput sequence data. 2010. [Electronic resource] Available at: http://www.bioinformatics.babraham.ac.uk/projects/fastqc. Accessed: 20.10.2024.; Ewels P., Magnusson M., Lundin S., et al. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics. 2016;32(19):3047-3048.; Dobin A., Davis C.A., Schlesinger F., et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29(1):15-21.; Liao Y., Smyth G.K., Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014;30(7):923-930.; Groff A.F., Resetkova N., DiDomenico F., et al. RNA-seq as a tool for evaluating human embryo competence. Genome Res. 2019;29(10):1705-1718.; Love M., Anders S., Huber W. Differential analysis of count data– the DESeq2 package. Genome Biol. 2014;15(550):10-1186.; Zhu A. Statistical methods for sequencing count data and integrative functional genomics. 2019. [Electronic resource] Available at: https://doi.org/10.17615/y2et-dh46. Accessed: 20.10.2024.; Flensburg C., Sargeant T., Oshlack A., et al. SuperFreq: Integrated mutation detection and clonal tracking in cancer. PLoS Comput Biol. 2020;16(2):e1007603.; Malakhova A.A., Grigor’eva E.V., Pavlova S.V., et al. Generation of induced pluripotent stem cell lines ICGi021-A and ICGi022-A from peripheral blood mononuclear cells of two healthy individuals from Siberian population. Stem Cell Res. 2020a;48:101952.; Malakhova A.A., Grigor’eva E.V., Vasilyeva O.Y., et al. Generation of two induced pluripotent stem cell lines from peripheral blood mononuclear cells of a patient with Wilson’s disease. Stem Cell Res. 2020b;47:101922.; Zhigalina D.I., Malakhova A.A., Vasilyeva O.Y., et al. Generation of an induced pluripotent stem cell line ICGi030-A from a Wilson’s disease patient carrying a frameshift mutation p. Lys1013fs and missense mutation p. H1069Q in the ATP7B gene. Stem Cell Res. 2021;57:102556.; Zhang K., Haversat J.M., Mager J. CTR9/PAF1c regulates molecular lineage identity, histone H3K36 trimethylation and genomic imprinting during preimplantation development. Dev Biol. 2013;383(1):15-27.; Genuth N.R., Shi Z., Kunimoto K., et al. A stem cell roadmap of ribosome heterogeneity reveals a function for RPL10A in mesoderm production. Nat Commun. 2022;13(1):5491.; Tranguch S., Chakrabarty A., Guo Y., et al. Maternal pentraxin 3 deficiency compromises implantation in mice. Biol Reprod. 2007;77(3):425-432.; Huang K., Maruyama T., Fan G. The naive state of human pluripotent stem cells: a synthesis of stem cell and preimplantation embryo transcriptome analyses. Cell Stem Cell. 2014;15(4):410-415.; Franasiak J.M., Forman E.J., Hong K.H., et al. Aneuploidy across individual chromosomes at the embryonic level in trophectoderm biopsies: changes with patient age and chromosome structure. J Assist Reprod Genet. 2014;31:1501-1509.

  2. 2
  3. 3
  4. 4