Evidence map›Paper›PMID 33318184›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Rewiring the specificity of extracytoplasmic function sigma factors.

Horia Todor, Hendrik Osadnik, Elizabeth A Campbell, Kevin S Myers, Hao Li, Timothy J Donohue, Carol A Gross

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Transcriptional landscape of metal-resistantJournal of bacteriology · 2026
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  9. Physiological Roles of anbioRxiv : the preprint server for biology · 2024
    Article
  10. σCommunications biology · 2024
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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

7 authors at 4 institutions in 1 country.

Horia TodorDepartment of Microbiology and Immunology, University of California, San Francisco, CA 94158; horia.todor@gmail.com cgrossucsf@gmail.com.
Hendrik OsadnikDepartment of Microbiology and Immunology, University of California, San Francisco, CA 94158.
Elizabeth A CampbellLaboratory of Molecular Biophysics, The Rockefeller University, New York, NY 10065.ORCID 0000-0002-1332-128X
Kevin S MyersWisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726.ORCID 0000-0003-3302-3877
Hao LiCalifornia Institute of Quantitative Biology, University of California, San Francisco, CA 94158.
Timothy J DonohueWisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726.ORCID 0000-0001-8738-2467
Carol A GrossDepartment of Microbiology and Immunology, University of California, San Francisco, CA 94158; horia.todor@gmail.com cgrossucsf@gmail.com.
QB3 · USUniversity of California, San Francisco · USUniversity of Wisconsin–Madison · USRockefeller University · US

Funding

Cellular homeostasis pathways in bacteriaR35GM118061 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GROSS, CAROL ANNE · 2016 to 2025
$9.0M
Structure/function analyses of essential mycobacterial transcription regulatorsR01GM114450 · NIGMS · ROCKEFELLER UNIVERSITY · PI CAMPBELL, ELIZABETH A · 2015 to 2023
$3.4M
Cellular Aging and Rejuvenation: A Comprehensive Picture from a Dynamic and Network Perspective - Administrative SupplementR01AG058742 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KENNEDY, BRIAN K, LI, HAO · 2018 to 2022
$3.0M
NIA NIH HHS R01 AG058742NIGMS NIH HHS R01 GM114450NIGMS NIH HHS R35 GM118061
6 · The paper itself

Abstract

Bacterial genomes are being sequenced at an exponentially increasing rate, but our inability to decipher their transcriptional wiring limits our ability to derive new biology from these sequences. De novo determination of regulatory interactions requires accurate prediction of regulators' DNA binding and precise determination of biologically significant binding sites. Here we address these challenges by solving the DNA-specificity code of extracytoplasmic function sigma factors (ECF σs), a major family of bacterial regulators, and determining their putative regulons. We generated an aligned collection of ECF σs and their promoters by leveraging the autoregulatory nature of ECF σs as a means of promoter discovery and analyzed it to identify and characterize the conserved amino acid-nucleotide interactions that determine promoter specificity. This enabled de novo prediction of ECF σ specificity, which we combined with a statistically rigorous phylogenetic footprinting pipeline based on precomputed orthologs to predict the direct targets of ∼67% of ECF σs. This global survey indicated that some ECF σs are conserved global regulators controlling many genes throughout the genome, which are important under many conditions, while others are local regulators, controlling a few closely linked genes in response to specific stimuli in select species. This analysis reveals important organizing principles of bacterial gene regulation and presents a conceptual and computational framework for deciphering gene regulatory networks.

Indexed as

CytoplasmDNA, BacterialGene Expression Regulation, BacterialModels, MolecularMutationPhylogenyPromoter Regions, GeneticProtein BindingRegulonSigma FactorDNA, BacterialSigma Factorbioinformaticsphylogenetic footprintingsigma factorstranscriptional regulation

Identifiers

PMID33318184
PMCPMC7776599
OpenAlexW3112330909

What OpenQuestion holds

Textmetadata
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.