Evidence map›Paper›PMID 41423278›Full record

ArticleJournal of microbiology and biotechnology2025

Global Transcriptomic Analysis Identifies Gene Expression Programs Regulated by α-Factor in Yeast.

Soojin Yeom, Jung-Shin Lee

Abstract read
In one paragraph

Article in Journal of microbiology and biotechnology, 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

2 authors.

Soojin YeomDepartment of Molecular Bioscience, College of Biomedical Science, Kangwon National University, Chuncheon 24341, Republic of Korea.
Jung-Shin LeeDepartment of Molecular Bioscience, College of Biomedical Science, Kangwon National University, Chuncheon 24341, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In yeast, the mating pheromone α-factor triggers a signaling cascade in haploid "a" cells, leading to G1 cell cycle arrest, polarized growth ("shmoo" formation), cell wall remodeling, and ultimately cell fusion. While the physiological responses to α-factor are well established, a genome-wide analysis of transcriptional changes in response to α-factor has not been previously reported. Here, we performed RNA sequencing (RNA-seq) to profile gene expression changes in "a" mating type yeast cells treated with α-factor. We identified 957 differentially expressed genes (DEGs), including 448 upregulated and 509 downregulated genes. Gene ontology (GO) analysis revealed enrichment of upregulated genes in pheromone signaling, cell wall biogenesis, and cell shape regulation. In contrast, downregulated genes were mainly associated with cell cycle progression, chromatin remodeling, histone gene expression, and nucleosome organization. Our dataset validates known pheromone-responsive genes and identifies novel candidates potentially involved in mating responses. These findings provide a valuable resource for understanding how transcriptional regulation and chromatin dynamics are coordinated during pheromone signaling in yeast.

Indexed as

Gene Expression ProfilingGene Expression Regulation, FungalMating FactorPheromonesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscriptomeCell CycleCell WallGene OntologySignal TransductionMating FactorPheromonesSaccharomyces cerevisiae Proteinscell cycle arrestchromatin remodelingpheromone signalingSaccharomyces cerevisiaeα-factor

Identifiers

PMID41423278
PMCPMC12740845

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.