Evidence map›Paper›PMID 31525198›Full record

ArticlePLoS genetics2019

Chromosome-wide co-fluctuation of stochastic gene expression in mammalian cells.

Mengyi Sun, Jianzhi Zhang

Abstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. What Has Genomics Taught An Evolutionary Biologist?Genomics, proteomics & bioinformatics · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. The Stochastic Genome and Its Role in Gene Expression.Cold Spring Harbor perspectives in biology · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

2 authors.

Mengyi SunDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, United States of America.
Jianzhi ZhangDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0001-6141-1290

Funding

Position effects on gene expression level and noiseR01GM120093 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, JIANZHI · 2016 to 2019
$1.2M
NIGMS NIH HHS R01 GM120093
6 · The paper itself

Abstract

Gene expression is subject to stochastic noise, but to what extent and by which means such stochastic variations are coordinated among different genes are unclear. We hypothesize that neighboring genes on the same chromosome co-fluctuate in expression because of their common chromatin dynamics, and verify it at the genomic scale using allele-specific single-cell RNA-sequencing data of mouse cells. Unexpectedly, the co-fluctuation extends to genes that are over 60 million bases apart. We provide evidence that this long-range effect arises in part from chromatin co-accessibilities of linked loci attributable to three-dimensional proximity, which is much closer intra-chromosomally than inter-chromosomally. We further show that genes encoding components of the same protein complex tend to be chromosomally linked, likely resulting from natural selection for intracellular among-component dosage balance. These findings have implications for both the evolution of genome organization and optimal design of synthetic genomes in the face of gene expression noise.

Indexed as

AnimalsChromatinChromosome MappingChromosomesDatabases, GeneticEvolution, MolecularGene ExpressionGene Expression RegulationGenetic LinkageGenomeGenomicsHumansMammalsMiceSelection, GeneticStochastic ProcessesChromatin

Identifiers

PMID31525198
PMCPMC6762216

What OpenQuestion holds

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Registered trials

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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.