Evidence map›Paper›PMID 39527190›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

High-Throughput Measurement of Single-Fission Yeast Cell Volume Using Fluorescence Exclusion.

Larisa Venkova, Daniel García-Ruano, Akanksha Jain, Gilles Charvin, Damien Coudreuse

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. 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

5 authors.

Larisa VenkovaInstitute of Biochemistry and Cellular Genetics, CNRS UMR 5095 and University of Bordeaux, Bordeaux, France.
Daniel García-RuanoInstitute of Biochemistry and Cellular Genetics, CNRS UMR 5095 and University of Bordeaux, Bordeaux, France.
Akanksha JainInstitute of Biochemistry and Cellular Genetics, CNRS UMR 5095 and University of Bordeaux, Bordeaux, France.
Gilles CharvinLaboratoire GMGM, Université de Strasbourg, CNRS UMR 7156, Strasbourg, France.
Damien CoudreuseInstitute of Biochemistry and Cellular Genetics, CNRS UMR 5095 and University of Bordeaux, Bordeaux, France. damien.coudreuse@ibgc.cnrs.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell volume is a critical parameter for the biology of living species and has an impact on virtually all cellular functions. In Schizosaccharomyces pombe, the regulation of cell size has been the focus of intense investigation, and mechanisms that couple size control with cell cycle progression have been identified. In fission yeast, cell length at division is generally used as a proxy for determining cell size. However, it only allows for an inaccurate evaluation of this critical parameter and neglects potential changes in cell morphology and diameter, which can strongly impact cell volume. Until recently, one of the major obstacles for studying the complexity of cell size regulation in fission yeast has been the lack of a robust method for high-throughput, direct measurement of single-cell volume. Here, we provide a comprehensive protocol for S. pombe cell volume determination based on the Fluorescence eXclusion method and microfluidics technologies. This approach makes it possible to reliably describe cell volume and its distribution in populations of fission yeast cells.

Indexed as

SchizosaccharomycesSingle-Cell AnalysisCell SizeFluorescenceHigh-Throughput Screening AssaysAutomated analysisCell volumeDeep-learningFission yeastFluorescence exclusionLive-cell imagingMicrofluidics

Identifiers

PMID39527190

What OpenQuestion holds

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Registered trials

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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.