Evidence map›Paper›PMID 33086528›Full record

ArticleBiology2020

Signaling Mechanism of Transcriptional Bursting: A Technical Resolution-Independent Study.

Yaolai Wang, Jiaming Qi, Jie Shao, Xu-Qing Tang

Abstract read
In one paragraph

Article in Biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Stochastic Modeling of Biophysical Responses to Perturbation.bioRxiv : the preprint server for biology · 2024
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. The Core Promoter Is a Regulatory Hub for Developmental Gene Expression.Frontiers in cell and developmental biology · 2021
    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

4 authors.

Yaolai WangSchool of Science, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-0518-3294
Jiaming QiSchool of Science, Jiangnan University, Wuxi 214122, China.
Jie ShaoSchool of Science, Jiangnan University, Wuxi 214122, China.
Xu-Qing TangSchool of Science, Jiangnan University, Wuxi 214122, China.ORCID 0000-0002-4018-9114

Funding

Fundamental Research Funds for the Central Universities JUSRP11838National Natural Science Foundation of China 11804123National Natural Science Foundation of China 11831015
6 · The paper itself

Abstract

Gene transcription has been uncovered to occur in sporadic bursts. However, due to technical difficulties in differentiating individual transcription initiation events, it remains debated as to whether the burst size, frequency, or both are subject to modulation by transcriptional activators. Here, to bypass technical constraints, we addressed this issue by introducing two independent theoretical methods including analytical research based on the classic two-model and information entropy research based on the architecture of transcription apparatus. Both methods connect the signaling mechanism of transcriptional bursting to the characteristics of transcriptional uncertainty (i.e., the differences in transcriptional levels of the same genes that are equally activated). By comparing the theoretical predictions with abundant experimental data collected from published papers, the results exclusively support frequency modulation. To further validate this conclusion, we showed that the data that appeared to support size modulation essentially supported frequency modulation taking into account the existence of burst clusters. This work provides a unified scheme that reconciles the debate on burst signaling.

Indexed as

burst clustercell signalingnoisestochasticity of gene expressiontranscriptional burststranscription regulation

Identifiers

PMID33086528
PMCPMC7603168

What Socratic 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 Socratic graph.