Evidence map›Paper›PMID 39102335›Full record

ArticleCell reports2024

Transcriptional noise, gene activation, and roles of SAGA and Mediator Tail measured using nucleotide recoding single-cell RNA-seq.

Jeremy A Schofield, Steven Hahn

Abstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Transcriptome and Temporal Transcriptome Analyses in Single Cells.International journal of molecular sciences · 2024
    Review
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.

Jeremy A SchofieldFred Hutchinson Cancer Center, Seattle, WA 98109, USA. Electronic address: jschofie@fredhutch.org.
Steven HahnFred Hutchinson Cancer Center, Seattle, WA 98109, USA. Electronic address: shahn@fredhutch.org.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Mechanisms of transcriptional regulation and transcription factor specificityR35GM140823 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Steven M Hahn · 2021 to 2026
$6.6M
NCI NIH HHS P30 CA015704NIGMS NIH HHS R35 GM140823
6 · The paper itself

Abstract

We describe a time-resolved nascent single-cell RNA sequencing (RNA-seq) approach that measures gene-specific transcriptional noise and the fraction of active genes in S. cerevisiae. Most genes are expressed with near-constitutive behavior, while a subset of genes show high mRNA variance suggestive of transcription bursting. Transcriptional noise is highest in the cofactor/coactivator-redundant (CR) gene class (dependent on both SAGA and TFIID) and strongest in TATA-containing CR genes. Using this approach, we also find that histone gene transcription switches from a low-level, low-noise constitutive mode during M and M/G1 to an activated state in S phase that shows both an increase in the fraction of active promoters and a switch to a noisy and bursty transcription mode. Rapid depletion of cofactors SAGA and MED Tail indicates that both factors play an important role in stimulating the fraction of active promoters at CR genes, with a more modest role in transcriptional noise.

Indexed as

Saccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSingle-Cell AnalysisTranscriptional ActivationGene Expression Regulation, FungalMediator ComplexPromoter Regions, GeneticRNA-SeqSingle-Cell Gene Expression AnalysisTrans-ActivatorsTranscription, GeneticMediator ComplexSaccharomyces cerevisiae ProteinsSAGA complex, S cerevisiaeTrans-ActivatorsburstingCP: Molecular biologygene activationMediatorSAGAS. cerevisiaesingle-cell RNA-seqtranscriptiontranscription noiseyeast

Identifiers

PMID39102335
PMCPMC11405135

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.