Evidence map›Paper›PMID 27391757›Full record

ArticlePhysical review letters2016

Cooperativity of Negative Autoregulation Confers Increased Mutational Robustness.

David C Marciano, Rhonald C Lua, Christophe Herman, Olivier Lichtarge

Open access · hybridAbstract read
In one paragraph

Article in Physical review letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. GoldenBraid2.0Synthetic biology (Oxford, England) · 2025
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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 at 1 institution in 1 country.

David C MarcianoDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA.
Rhonald C LuaDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA.
Christophe HermanDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA.
Olivier LichtargeDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA.
Baylor College of Medicine · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
Virology CoreP30AI036211 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI BUTEL, JANET S · 1994 to 2015
$21.7M
Functional Determinnats in G Protein-coupled ReceptorsR01GM066099 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LICHTARGE, OLIVIER · 2003 to 2022
$7.5M
Comparative genomics of protein structure and functionR01GM079656 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI LICHTARGE, OLIVIER · 2007 to 2019
$4.3M
Molecular Noise, Transcription Errors and Heritable Phenotypic ChangeR01GM088653 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI HERMAN, CHRISTOPHE · 2010 to 2019
$3.1M
BD Biosciences Special Order LSRIIS10RR024574 · NCRR · BAYLOR COLLEGE OF MEDICINE · PI LUMPKIN, ELLEN A · 2009 to 2009
$430k
NCI NIH HHS P30 CA125123NCRR NIH HHS S10 RR024574NIAID NIH HHS P30 AI036211NIGMS NIH HHS R01 GM066099NIGMS NIH HHS R01 GM079656NIGMS NIH HHS R01 GM088653
6 · The paper itself

Abstract

Negative autoregulation is universally found across organisms. In the bacterium Escherichia coli, transcription factors often repress their own expression to form a negative feedback network motif that enables robustness to changes in biochemical parameters. Here we present a simple phenomenological model of a negative feedback transcription factor repressing both itself and another target gene. The strength of the negative feedback is characterized by three parameters: the cooperativity in self-repression, the maximal expression rate of the transcription factor, and the apparent dissociation constant of the transcription factor binding to its own promoter. Analysis of the model shows that the target gene levels are robust to mutations in the transcription factor, and that the robustness improves as the degree of cooperativity in self-repression increases. The prediction is tested in the LexA transcriptional network of E. coli by altering cooperativity in self-repression and promoter strength. Indeed, we find robustness is correlated with the former. Considering the proposed importance of gene regulation in speciation, parameters governing a transcription factor's robustness to mutation may have significant influence on a cell or organism's capacity to evolve.

Indexed as

Gene Expression RegulationHomeostasisMutationTranscription, GeneticEscherichia coliGene Regulatory NetworksPromoter Regions, GeneticTranscription FactorsTranscription Factors

Identifiers

PMID27391757
PMCPMC5152588
OpenAlexW2465125172

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.