Evidence map›Paper›PMID 35960846›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Robustness of DNA looping across multiple cell divisions in individual bacteria.

Chang Chang, Mayra Garcia-Alcala, Leonor Saiz, Jose M G Vilar, Philippe Cluzel

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Robustness of DNA looping across multiple cell divisions in individual bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

5 authors.

Chang ChangDepartment of Molecular and Cellular Biology, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0003-0790-1357
Mayra Garcia-AlcalaDepartment of Molecular and Cellular Biology, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0001-7425-1767
Leonor SaizDepartment of Biomedical Engineering, University of California, Davis, CA 95616.
Jose M G VilarBiofisika Institutua (CSIC, UPV/EHU), University of the Basque Country UPV/EHU, Bilbao, 48080 Spain.ORCID 0000-0003-4037-0746
Philippe CluzelDepartment of Molecular and Cellular Biology, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0001-8545-1879

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA looping has emerged as a central paradigm of transcriptional regulation, as it is shared across many living systems. One core property of DNA looping-based regulation is its ability to greatly enhance repression or activation of genes with only a few copies of transcriptional regulators. However, this property based on a small number of proteins raises the question of the robustness of such a mechanism with respect to the large intracellular perturbations taking place during growth and division of the cell. Here we address the issue of sensitivity to variations of intracellular parameters of gene regulation by DNA looping. We use the

Indexed as

Cell DivisionDNA, BacterialLac OperonEscherichia coliEscherichia coli ProteinsLac RepressorsNucleic Acid ConformationSingle-Cell AnalysisDNA, BacterialEscherichia coli ProteinsLac Repressorsmemorymicrofluidicsnoiserobustnesssingle-cell

Identifiers

PMID35960846
PMCPMC9388096

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.