Evidence map›Paper›PMID 34170902›Full record

ArticlePLoS biology2021

Dynamic landscape of protein occupancy across the Escherichia coli chromosome.

Lydia Freddolino, Haley M Amemiya, Thomas J Goss, Saeed Tavazoie

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The Algorithm for Reversible Jump Inference of Motifs.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Environment-Dependent Regulatory Landscape of thebioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Membrane association of active genes organizes the chloroplast nucleoid structure.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. ACS synthetic biology · 2023
    Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Lydia FreddolinoDepartment of Biological Chemistry, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.ORCID 0000-0002-5821-4226
Haley M AmemiyaDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.ORCID 0000-0002-2610-4436
Thomas J GossDepartment of Biological Chemistry, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.
Saeed TavazoieDepartment of Biological Sciences, Columbia University, New York, New York, United States of America.ORCID 0000-0003-2183-4162
University of Michigan · USColumbia University · US

Funding

Systems biological interrogation of bacterial persistenceR01AI077562 · NIAID · PRINCETON UNIVERSITY · PI TAVAZOIE, SAEED F · 2010 to 2024
$6.4M
Building a unified framework for understanding bacterial gene regulation and chromosomal architectureR35GM128637 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lydia Petra Freddolino · 2018 to 2026
$3.6M
Genome-wide measurement of bacterial transcriptional regulatory statesR00GM097033 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FREDDOLINO, LYDIA PETRA · 2015 to 2017
$746k
Comprehensive genetic characterization of antibiotic resistanceR56AI077562 · NIAID · PRINCETON UNIVERSITY · PI TAVAZOIE, SAEED F · 2009 to 2009
$391k
NIAID NIH HHS R01 AI077562NIAID NIH HHS R56 AI077562NIGMS NIH HHS R00 GM097033NIGMS NIH HHS R35 GM128637
6 · The paper itself

Abstract

Free-living bacteria adapt to environmental change by reprogramming gene expression through precise interactions of hundreds of DNA-binding proteins. A predictive understanding of bacterial physiology requires us to globally monitor all such protein-DNA interactions across a range of environmental and genetic perturbations. Here, we show that such global observations are possible using an optimized version of in vivo protein occupancy display technology (in vivo protein occupancy display-high resolution, IPOD-HR) and present a pilot application to Escherichia coli. We observe that the E. coli protein-DNA interactome organizes into 2 distinct prototypic features: (1) highly dynamic condition-dependent transcription factor (TF) occupancy; and (2) robust kilobase scale occupancy by nucleoid factors, forming silencing domains analogous to eukaryotic heterochromatin. We show that occupancy dynamics across a range of conditions can rapidly reveal the global transcriptional regulatory organization of a bacterium. Beyond discovery of previously hidden regulatory logic, we show that these observations can be utilized to computationally determine sequence specificity models for the majority of active TFs. Our study demonstrates that global observations of protein occupancy combined with statistical inference can rapidly and systematically reveal the transcriptional regulatory and structural features of a bacterial genome. This capacity is particularly crucial for non-model bacteria that are not amenable to routine genetic manipulation.

Indexed as

Amino Acid MotifsAmino Acid SequenceChromosomes, BacterialDNA-Binding ProteinsEnvironmentEscherichia coliEscherichia coli ProteinsPromoter Regions, GeneticProtein BindingSigma FactorTranscription FactorsDNA-Binding ProteinsEscherichia coli ProteinsSigma FactorTranscription Factors

Identifiers

PMID34170902
PMCPMC8282354
OpenAlexW3174590377

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.