Evidence map›Paper›PMID 30904377›Full record

ArticleCell systems2019

High-Resolution Mapping of the Escherichia coli Chromosome Reveals Positions of High and Low Transcription.

Scott A Scholz, Rucheng Diao, Michael B Wolfe, Elayne M Fivenson, Xiaoxia Nina Lin, Peter L Freddolino

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 122 citations in OpenAlex.

  1. Article
  2. Article
  3. Antibiotic-free high-yield (-)-α-bisabolol production inSynthetic and systems biotechnology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Hybrid capture RNA-seq defines temporal gene expression inbioRxiv : the preprint server for biology · 2026
    Article
  8. Integrated biosynthesis of the lignan (-)-pluviatolide in resting and growingFrontiers in bioengineering and biotechnology · 2026
    Article
  9. Energetic and structural control of polyspecificity in a multidrug transporter.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Transcription activation inEcoSal Plus · 2024
    Review
  17. Review
  18. Article
  19. Article
  20. ACS synthetic biology · 2023
    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

6 authors at 1 institution in 1 country.

Scott A ScholzCellular and Molecular Biology Program, University of Michigan, Ann Arbor, MI 48103, USA.
Rucheng DiaoDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48103, USA.
Michael B WolfeDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48103, USA; Department of Biological Chemistry, University of Michigan, Ann Arbor, MI 48103, USA.
Elayne M FivensonDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48103, USA.
Xiaoxia Nina LinDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48103, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48103, USA. Electronic address: ninalin@umich.edu.
Peter L FreddolinoDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48103, USA; Department of Biological Chemistry, University of Michigan, Ann Arbor, MI 48103, USA. Electronic address: petefred@umich.edu.
University of Michigan–Ann Arbor · US

Funding

CELLULAR AND MOLECULAR BIOLOGY AT MICHIGANT32GM007315 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PUTHENVEEDU, MANOJKUMAR A · 1985 to 2021
$12.8M
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
Ultra-high-resolution expression profiling of bacterial genomesR03AI130610 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FREDDOLINO, LYDIA PETRA · 2018 to 2019
$143k
NIAID NIH HHS R03 AI130610NIGMS NIH HHS R00 GM097033NIGMS NIH HHS R35 GM128637NIGMS NIH HHS T32 GM007315
6 · The paper itself

Abstract

Recent studies on targeted gene integrations in bacteria have demonstrated that chromosomal location can substantially affect a gene's expression level. However, these studies have only provided information on a small number of sites. To measure position effects on transcriptional propensity at high resolution across the genome, we built and analyzed a library of over 144,000 genome-integrated, standardized reporters in a single mixed population of Escherichia coli. We observed more than 20-fold variations in transcriptional propensity across the genome when the length of the chromosome was binned into broad 4 kbp regions; greater variability was observed over smaller regions. Our data reveal peaks of high transcriptional propensity centered on ribosomal RNA operons and core metabolic genes, while prophages and mobile genetic elements were enriched in less transcribable regions. In total, our work supports the hypothesis that E. coli has evolved gene-independent mechanisms for regulating expression from specific regions of its genome.

Indexed as

Gene Expression Regulation, BacterialTranscription, GeneticChromosomes, BacterialDNA, BacterialDNA-Binding ProteinsDNA, RibosomalEscherichia coliEscherichia coli ProteinsFactor For Inversion Stimulation ProteinDNA, BacterialDNA-Binding ProteinsDNA, RibosomalEscherichia coli ProteinsFactor For Inversion Stimulation ProteinFis protein, E colihns protein, E colichromatinFisgene regulationgenome organizationgenome position dependenceH-NSnucleoidribosomal RNA operontranscriptiontranscriptional propensity

Identifiers

PMID30904377
PMCPMC6508686
OpenAlexW2922895731

What OpenQuestion holds

Textmetadata
LicenceTDM
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.