Evidence map›Paper›PMID 31799601›Full record

ArticleNucleic acids research2020

Allele-specific single-cell RNA sequencing reveals different architectures of intrinsic and extrinsic gene expression noises.

Mengyi Sun, Jianzhi Zhang

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. 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. Review
  2. Article
  3. bioRxiv : the preprint server for biology · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Allele-specific RNAGenome research · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. What Has Genomics Taught An Evolutionary Biologist?Genomics, proteomics & bioinformatics · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. 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.

Mengyi SunDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.
Jianzhi ZhangDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.

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 noise refers to the variation of the expression level of a gene among isogenic cells in the same environment, and has two sources: extrinsic noise arising from the disparity of the cell state and intrinsic noise arising from the stochastic process of gene expression in the same cell state. Due to the low throughput of the existing method for measuring the two noise components, the architectures of intrinsic and extrinsic expression noises remain elusive. Using allele-specific single-cell RNA sequencing, we here estimate the two noise components of 3975 genes in mouse fibroblast cells. Our analyses verify predicted influences of several factors such as the TATA-box and microRNA targeting on intrinsic or extrinsic noises and reveal gene function-associated noise trends implicating the action of natural selection. These findings unravel differential regulations, optimizations, and biological consequences of intrinsic and extrinsic noises and can aid the construction of desired synthetic circuits.

Indexed as

Single-Cell AnalysisAllelesAnimalsBiochemical PhenomenaExome SequencingFibroblastsGene Expression RegulationHigh-Throughput Nucleotide SequencingMiceMicroRNAsModels, GeneticSelection, GeneticStochastic ProcessesTATA BoxMicroRNAs

Identifiers

PMID31799601
PMCPMC6954418

What OpenQuestion holds

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LicenceCC BY-NC
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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.