Evidence map›Paper›PMID 33436569›Full record

ArticleNature communications2021

Orthogonal control of mean and variability of endogenous genes in a human cell line.

Alain R Bonny, João Pedro Fonseca, Jesslyn E Park, Hana El-Samad

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
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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.

Alain R BonnyDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, 94158, USA.
João Pedro FonsecaDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, 94158, USA.ORCID 0000-0002-4465-7165
Jesslyn E ParkDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, 94158, USA.
Hana El-SamadDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, 94158, USA. Hana.El-Samad@ucsf.edu.ORCID 0000-0001-6239-9916

Funding

STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008284 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1988 to 2022
$10.1M
NIGMS NIH HHS T32 GM008284
6 · The paper itself

Abstract

Stochastic fluctuations at the transcriptional level contribute to isogenic cell-to-cell heterogeneity in mammalian cell populations. However, we still have no clear understanding of the repercussions of this heterogeneity, given the lack of tools to independently control mean expression and variability of a gene. Here, we engineer a synthetic circuit to modulate mean expression and heterogeneity of transgenes and endogenous human genes. The circuit, a Tunable Noise Rheostat (TuNR), consists of a transcriptional cascade of two inducible transcriptional activators, where the output mean and variance can be modulated by two orthogonal small molecule inputs. In this fashion, different combinations of the inputs can achieve the same mean but with different population variability. With TuNR, we achieve low basal expression, over 1000-fold expression of a transgene product, and up to 7-fold induction of the endogenous gene NGFR. Importantly, for the same mean expression level, we are able to establish varying degrees of heterogeneity in expression within an isogenic population, thereby decoupling gene expression noise from its mean. TuNR is therefore a modular tool that can be used in mammalian cells to enable direct interrogation of the implications of cell-to-cell variability.

Indexed as

Gene Expression RegulationAbscisic AcidCell LineHumansTrans-ActivatorsTransgenesAbscisic AcidTrans-Activators

Identifiers

PMID33436569
PMCPMC7804932

What Socratic 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 Socratic graph.