Evidence map›Paper›PMID 42619582›Full record

ArticleThe New phytologist2026

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

Jingzhe Guo, Julian Le Gouic, Rémi Rosenthal, Ailing Zou, Xiang Zhou, Nicolas Brunel, Zhenbiao Yang, Xinping Cui

Abstract read
In one paragraph

Article in The New phytologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jingzhe Guo *Institute for Integrative Genome Biology and Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA.ORCID https://orcid.org/0000-0003-0858-527X
Julian Le Gouic *Capgemini Invent, 92130, Issy-les-Moulineaux, France.
Rémi RosenthalQuantmetry, 52, rue d'Anjou, 75008, Paris, France.
Ailing ZouMetabolomics Research Center, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Xiang ZhouState Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Nicolas BrunelCapgemini Invent, 92130, Issy-les-Moulineaux, France.ORCID https://orcid.org/0000-0002-2840-8484
Zhenbiao YangInstitute for Integrative Genome Biology and Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA.ORCID https://orcid.org/0000-0001-7482-6540
Xinping CuiInstitute for Integrative Genome Biology and Department of Statistics, University of California, Riverside, CA, 92521, USA.ORCID https://orcid.org/0000-0002-1420-2696

Funding

National Institute of Food and Agriculture CA-R-STA-7132-HNational Science Foundation, Division of Mathematical Science 1853698
6 · The paper itself

Abstract

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 Ca

Indexed as

AlgorithmsArabidopsisPollen TubeArabidopsis ProteinsCalciumCell PolarityFusariumHyphaeImage Processing, Computer-AssistedSpatio-Temporal AnalysisArabidopsis ProteinsCalciumcell polarityquantitative analysisrobust algorithmspatiotemporal dynamicstip growth

Identifiers

PMID42619582
PMCPMC13583362

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.