Academic Journal

TipQuant: a robust algorithm for quantitative analysis of spatiotemporally dynamic activities in tip-growing cells.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: TipQuant: a robust algorithm for quantitative analysis of spatiotemporally dynamic activities in tip-growing cells.
Συγγραφείς: Guo J; Institute for Integrative Genome Biology and Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA., Le Gouic J; Capgemini Invent, 92130, Issy-les-Moulineaux, France., Rosenthal R; Quantmetry, 52, rue d'Anjou, 75008, Paris, France., Zou A; Metabolomics Research Center, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China., Zhou X; State Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China., Brunel N; Capgemini Invent, 92130, Issy-les-Moulineaux, France.; ENSIIE & Laboratoire de Mathématiques et Modélisation d'Evry, Université Paris Saclay, 91025, Evry, France., Yang Z; Institute for Integrative Genome Biology and Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA.; Institute of Emerging Agricultural Technology, Shenzhen University of Advanced Technology, Shenzhen, 518107, Guangdong, China.; Faculty of Synthetic Biology, Shenzhen University of Advanced Technology, Shenzhen, 518107, Guangdong, China., Cui X; Institute for Integrative Genome Biology and Department of Statistics, University of California, Riverside, CA, 92521, USA.
Πηγή: The New phytologist [New Phytol] 2026 Oct; Vol. 252 (2), pp. 926-935. Date of Electronic Publication: 2026 Aug 20.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Wiley on behalf of New Phytologist Trust Country of Publication: England NLM ID: 9882884 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-8137 (Electronic) Linking ISSN: 0028646X NLM ISO Abbreviation: New Phytol Subsets: MEDLINE
Imprint Name(s): Publication: Oxford : Wiley on behalf of New Phytologist Trust
Original Publication: London, New York [etc.] Academic Press.
Ιατρικοί όροι (MeSH): Arabidopsis*/cytology , Arabidopsis*/metabolism , Arabidopsis*/growth & development , Pollen Tube*/cytology , Pollen Tube*/growth & development , Pollen Tube*/metabolism , Algorithms*, Fusarium/cytology ; Fusarium/growth & development ; Hyphae/growth & development ; Calcium/metabolism ; Arabidopsis Proteins/metabolism ; Cell Polarity ; Spatio-Temporal Analysis ; Image Processing, Computer-Assisted
Περίληψη: Cell polarity and tip growth rely on the dynamic spatial organization of signaling and structural components. Quantitative characterization of these spatiotemporal dynamics is critical for understanding polarized cell growth, yet manual quantification is labor-intensive and existing computational tools often lack the flexibility and robustness needed to analyze molecular and structural dynamics in tip-growing cells. Tip Quantification (TipQuant) identifies the cell apex by detecting the site of maximum expansion and automatically quantifies fluorescence distribution along the plasma membrane and within the apical cytoplasm from live-cell imaging data, enabling analysis of the spatiotemporal dynamics of molecular and structural components in tip-growing cells. TipQuant accurately identified cell apices and quantified the spatiotemporal behavior of fluorescently labeled proteins and cellular structures in Arabidopsis thaliana pollen tubes and Fusarium graminearum hyphae, reproducing manual measurements while reducing user bias and improving efficiency, consistency, and analytical flexibility. The tool also revealed a strong positive correlation between rho-like GTPase from plants activity and apical Ca2+ influx in Arabidopsis pollen tubes, demonstrating its utility for analyzing dynamic cellular processes. TipQuant is a robust analytical tool for quantifying spatiotemporal dynamics in tip-growing cells, providing a flexible alternative to manual image analysis and enabling studies of the molecular mechanisms underlying polarized growth.
(© 2026 The Author(s). New Phytologist © 2026 New Phytologist Foundation.)
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Grant Information: CA-R-STA-7132-H National Institute of Food and Agriculture; 1853698 National Science Foundation, Division of Mathematical Science
Contributed Indexing: Keywords: cell polarity; quantitative analysis; robust algorithm; spatiotemporal dynamics; tip growth
Substance Nomenclature: SY7Q814VUP (Calcium)
0 (Arabidopsis Proteins)
Entry Date(s): Date Created: 20260820 Date Completed: 20260917 Latest Revision: 20260919
Update Code: 20260919
PubMed Central ID: PMC13583362
DOI: 10.1111/nph.71474
PMID: 42619582
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1469-8137
DOI:10.1111/nph.71474