Evidence map›Paper›PMID 42109131›Full record

ArticleG3 (Bethesda, Md.)2026

Differential gene expression drives cell-cycle-dependent transition from monopolar to bipolar growth in Schizosaccharomyces pombe.

Samridhi Pathak, Lauren M Tramonte, Maitreyi Das

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Samridhi PathakDepartment of Biology, Boston College, Chestnut Hill, MA 02467, United States.
Lauren M TramonteDepartment of Biology, Boston College, Chestnut Hill, MA 02467, United States.
Maitreyi DasDepartment of Biology, Boston College, Chestnut Hill, MA 02467, United States.ORCID 0000-0001-9164-0158

Funding

Cell-cycle-dependent cell polarity controlR01GM136847 · NIGMS · UNIVERSITY OF TENNESSEE KNOXVILLE · PI DAS, MAITREYI · 2020 to 2024
$1.5M
NIGMS NIH HHS R01 GM136847NIGMS NIH HHS R01GM136847NIH
6 · The paper itself

Abstract

Cell polarity is important for maintaining cell structure and function. In Schizosaccharomyces pombe, after division, cells grow monopolarly from the old end, then transition to bipolar growth at a certain size when the new end activates. However, G1-arrested cells do not become bipolar despite continued growth, suggesting a role for the cell cycle in this process. To identify how the cell cycle impacts monopolar to bipolar transition, we performed high-throughput mRNA sequencing to detect differentially expressed genes in G1-arrested and G2-phase cells of the cell-cycle mutant cdc10-129. DESeq2 analysis identified 65 unique genes upregulated in G1 phase and 35 in G2 phase. Enrichment analysis shows that G1 phase cells upregulated the MAPK pheromone-response pathway, protein folding, rRNA processing, and heat-shock protein binding. G2 phase cells showed upregulation of plasma membrane maintenance and cell wall organization. In G2 phase cells, protein-protein interaction networks identified the cdc15-hob3-rho1-bgs1 hub, known to promote bipolar growth and regulate cell wall biogenesis. In G1 phase cells, the spk1-byr2-ste11 hub involved in pheromone-response and nutritional stress-dependent G1-arrest was identified. In agreement with these findings, we find that spk1Δ cells are precociously bipolar, indicating a role for this kinase in preventing bipolar growth. We hypothesize that bipolar growth in G2 cells requires a combination of factors that favor cell growth. In G2, stress response pathways are downregulated while anabolic pathways are upregulated, enabling transition from monopolar to bipolar growth.

Indexed as

Cell CycleCell PolarityGene Expression Regulation, FungalSchizosaccharomycesGene Expression ProfilingProtein Interaction MapsSchizosaccharomyces pombe ProteinsSchizosaccharomyces pombe Proteinscell cyclecell polaritydifferential gene expressionKEGG pathwayRNA seqstress

Identifiers

PMID42109131
PMCPMC13334187

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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.