Evidence map›Paper›PMID 26032817›Full record

ReviewMethods (San Diego, Calif.)2015

Defining bacterial regulons using ChIP-seq.

Kevin S Myers, Dan M Park, Nicole A Beauchene, Patricia J Kiley

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. OxyR regulates the oxidative stress response inApplied and environmental microbiology · 2026
    Article
  2. DAP-seq Reveals Cluster-Situated Regulator Control of NumerousbioRxiv : the preprint server for biology · 2026
    Article
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  15. Genome-wide promoter assembly inGenome research · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

4 authors.

Kevin S MyersLaboratory of Genetics, University of Wisconsin - Madison, Madison, WI 53706, USA; Great Lakes Bioenergy Research Center, University of Wisconsin - Madison, Madison, WI 53706, USA.
Dan M ParkLawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Nicole A BeaucheneDepartment of Biomolecular Chemistry, University of Wisconsin - Madison, Madison, WI 53706, USA.
Patricia J KileyDepartment of Biomolecular Chemistry, University of Wisconsin - Madison, Madison, WI 53706, USA; Great Lakes Bioenergy Research Center, University of Wisconsin - Madison, Madison, WI 53706, USA. Electronic address: pjkiley@wisc.edu.

Funding

Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
The Regulation of Gene Expression by OxygenR01GM045844 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI KILEY, PATRICIA J · 1991 to 2012
$4.4M
NIGMS NIH HHS GM045844NIGMS NIH HHS R01 GM045844NIGMS NIH HHS T32 GM008505NIGMS NIH HHS T32GM008505
6 · The paper itself

Abstract

Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) is a powerful method that identifies protein-DNA binding sites in vivo. Recent studies have illustrated the value of ChIP-seq in studying transcription factor binding in various bacterial species under a variety of growth conditions. These results show that in addition to identifying binding sites, correlation of ChIP-seq data with expression data can reveal important information about bacterial regulons and regulatory networks. In this chapter, we provide an overview of the current state of knowledge about ChIP-seq methodology in bacteria, from sample preparation to raw data analysis. We also describe visualization and various bioinformatic analyses of processed ChIP-seq data.

Indexed as

BacteriaBinding SitesComputational BiologyDNA-Binding ProteinsHigh-Throughput Nucleotide SequencingMolecular BiologyOligonucleotide Array Sequence AnalysisRegulonSequence Analysis, DNADNA-Binding ProteinsBacterial regulonsBioinformatics analysis of genomic dataChIP-seqGenome-wide analysisSystems biologyTranscriptional regulationTranscription factor binding sites

Identifiers

PMID26032817
PMCPMC4577457

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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.