Evidence map›Paper›PMID 32810265›Full record

ArticleNucleic acids research2020

Uncoupling gene expression noise along the central dogma using genome engineered human cell lines.

Tyler Quarton, Taek Kang, Vasileios Papakis, Khai Nguyen, Chance Nowak, Yi Li, Leonidas Bleris

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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  4. bioRxiv : the preprint server for biology · 2025
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  5. Article
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  8. Principles of Computation by Competitive Protein Dimerization Networks.bioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Article
  15. Review
  16. STAR protocols · 2022
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  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Tyler QuartonBioengineering Department, University of Texas at Dallas, Richardson, TX, USA.
Taek KangBioengineering Department, University of Texas at Dallas, Richardson, TX, USA.
Vasileios PapakisCenter for Systems Biology, University of Texas at Dallas, Richardson, TX, USA.
Khai NguyenCenter for Systems Biology, University of Texas at Dallas, Richardson, TX, USA.
Chance NowakBioengineering Department, University of Texas at Dallas, Richardson, TX, USA.
Yi LiBioengineering Department, University of Texas at Dallas, Richardson, TX, USA.
Leonidas BlerisBioengineering Department, University of Texas at Dallas, Richardson, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eukaryotic protein synthesis is an inherently stochastic process. This stochasticity stems not only from variations in cell content between cells but also from thermodynamic fluctuations in a single cell. Ultimately, these inherently stochastic processes manifest as noise in gene expression, where even genetically identical cells in the same environment exhibit variation in their protein abundances. In order to elucidate the underlying sources that contribute to gene expression noise, we quantify the contribution of each step within the process of protein synthesis along the central dogma. We uncouple gene expression at the transcriptional, translational, and post-translational level using custom engineered circuits stably integrated in human cells using CRISPR. We provide a generalized framework to approximate intrinsic and extrinsic noise in a population of cells expressing an unbalanced two-reporter system. Our decomposition shows that the majority of intrinsic fluctuations stem from transcription and that coupling the two genes along the central dogma forces the fluctuations to propagate and accumulate along the same path, resulting in increased observed global correlation between the products.

Indexed as

Gene EditingTranscription, GeneticCell LineCRISPR-Cas SystemsGene Expression RegulationGenome, HumanHumansModels, GeneticProtein BiosynthesisStochastic Processes

Identifiers

PMID32810265
PMCPMC7498316

What OpenQuestion holds

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LicenceCC BY-NC
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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.