Evidence map›Paper›PMID 27498839›Full record

ReviewNature reviews. Microbiology2016

Local and global regulation of transcription initiation in bacteria.

Douglas F Browning, Stephen J W Busby

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 290 papers.

0numbers the graph read from it
0cells of the map it votes in
290citing papers in PubMed
43.2field-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

290 citing papers in PubMed, 535 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Journal of bacteriology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Structures ofScience advances · 2026
    Article
  15. DAP-seq Reveals Cluster-Situated Regulator Control of NumerousbioRxiv : the preprint server for biology · 2026
    Article
  16. Review
  17. Machine Learning Reveals Proteome-Encoded Growth Predictors ofbioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Article
  20. Article

230 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Douglas F BrowningInstitute of Microbiology and Infection, School of Biosciences, The University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Stephen J W BusbyInstitute of Microbiology and Infection, School of Biosciences, The University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
University of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression in bacteria relies on promoter recognition by the DNA-dependent RNA polymerase and subsequent transcription initiation. Bacterial cells are able to tune their transcriptional programmes to changing environments, through numerous mechanisms that regulate the activity of RNA polymerase, or change the set of promoters to which the RNA polymerase can bind. In this Review, we outline our current understanding of the different factors that direct the regulation of transcription initiation in bacteria, whether by interacting with promoters, with RNA polymerase or with both, and we discuss the diverse molecular mechanisms that are used by these factors to regulate gene expression.

Indexed as

Gene Expression Regulation, BacterialPromoter Regions, GeneticTranscription Initiation, GeneticBacteriaDNA-Directed RNA PolymerasesSigma FactorTranscription FactorsDNA-Directed RNA PolymerasesSigma FactorTranscription Factors

Identifiers

PMID27498839
OpenAlexW2516060948

What OpenQuestion holds

Textmetadata
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.