Evidence map›Paper›PMID 33239733›Full record

ArticleScientific reports2020

Identifying chromatin features that regulate gene expression distribution.

Thanutra Zhang, Robert Foreman, Roy Wollman

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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

3 authors at 2 institutions in 1 country.

Thanutra ZhangInstitute for Quantitative and Computational Biosciences, UCLA, Los Angeles, CA, USA.
Robert ForemanInstitute for Quantitative and Computational Biosciences, UCLA, Los Angeles, CA, USA.
Roy WollmanInstitute for Quantitative and Computational Biosciences, UCLA, Los Angeles, CA, USA. rwollman@ucla.edu.
Quantitative BioSciences · USUniversity of California, Los Angeles · US

Funding

The Spread of Noisy Information in Corneal Epithelial Wound Response SignalingR01EY024960 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WOLLMAN, ROY · 2015 to 2019
$1.8M
Reliable Signal TransductionR01GM111404 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WOLLMAN, ROY · 2015 to 2018
$1.5M
NEI NIH HHS R01 EY024960NIGMS NIH HHS R01 GM111404
6 · The paper itself

Abstract

Gene expression variability, differences in the number of mRNA per cell across a population of cells, is ubiquitous across diverse organisms with broad impacts on cellular phenotypes. The role of chromatin in regulating average gene expression has been extensively studied. However, what aspects of the chromatin contribute to gene expression variability is still underexplored. Here we addressed this problem by leveraging chromatin diversity and using a systematic investigation of randomly integrated expression reporters to identify what aspects of chromatin microenvironment contribute to gene expression variability. Using DNA barcoding and split-pool decoding, we created a large library of isogenic reporter clones and identified reporter integration sites in a massive and parallel manner. By mapping our measurements of reporter expression at different genomic loci with multiple epigenetic profiles including the enrichment of transcription factors and the distance to different chromatin states, we identified new factors that impact the regulation of gene expression distributions.

Indexed as

ChromatinEpigenesis, GeneticEpigenomicsGene ExpressionGene Expression RegulationGenomeGenomicsHumansK562 CellsTranscription FactorsChromatinTranscription Factors

Identifiers

PMID33239733
PMCPMC7688950
OpenAlexW3109109893

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.