Evidence map›Paper›PMID 23547897›Full record

ArticleBMC genomics2013

RegTransBase--a database of regulatory sequences and interactions based on literature: a resource for investigating transcriptional regulation in prokaryotes.

Michael J Cipriano, Pavel N Novichkov, Alexey E Kazakov, Dmitry A Rodionov, Adam P Arkin, Mikhail S Gelfand, Inna Dubchak

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
9.3field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 92 citations in OpenAlex.

  1. Article
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  11. Cell-Free Biosensors and AI Integration.Methods in molecular biology (Clifton, N.J.) · 2022
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  17. Systematic approach for dissecting the molecular mechanisms of transcriptional regulation in bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  18. Article
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  20. Tailor-made transcriptional biosensors for optimizing microbial cell factories.Journal of industrial microbiology & biotechnology · 2017
    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

7 authors at 5 institutions in 2 countries.

Michael J CiprianoDepartment of Microbiology, University of California Davis, Davis, CA 95616, USA.
Pavel N Novichkov
Alexey E Kazakov
Dmitry A Rodionov
Adam P Arkin
Mikhail S Gelfand
Inna Dubchak
Institute for Information Transmission Problems · RULawrence Berkeley National Laboratory · USJoint Genome Institute · USUniversity of California, Berkeley · USUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the constantly growing number of sequenced microbial genomes, comparative genomics has been playing a major role in the investigation of regulatory interactions in bacteria. Regulon inference mostly remains a field of semi-manual examination since absence of a knowledgebase and informatics platform for automated and systematic investigation restricts opportunities for computational prediction. Additionally, confirming computationally inferred regulons by experimental data is critically important. DESCRIPTION: RegTransBase is an open-access platform with a user-friendly web interface publicly available at http://regtransbase.lbl.gov. It consists of two databases - a manually collected hierarchical regulatory interactions database based on more than 7000 scientific papers which can serve as a knowledgebase for verification of predictions, and a large set of curated by experts transcription factor binding sites used in regulon inference by a variety of tools. RegTransBase captures the knowledge from published scientific literature using controlled vocabularies and contains various types of experimental data, such as: the activation or repression of transcription by an identified direct regulator; determination of the transcriptional regulatory function of a protein (or RNA) directly binding to DNA or RNA; mapping of binding sites for a regulatory protein; characterization of regulatory mutations. Analysis of the data collected from literature resulted in the creation of Putative Regulons from Experimental Data that are also available in RegTransBase.

conclusionsRegTransBase is a powerful user-friendly platform for the investigation of regulation in prokaryotes. It uses a collection of validated regulatory sequences that can be easily extracted and used to infer regulatory interactions by comparative genomics techniques thus assisting researchers in the interpretation of transcriptional regulation data.

Indexed as

Databases, Nucleic AcidGene Expression RegulationGenome, BacterialInternetProkaryotic CellsRegulatory Elements, TranscriptionalRegulonTranscription FactorsUser-Computer InterfaceTranscription Factors

Identifiers

PMID23547897
PMCPMC3639892
OpenAlexW2145921127

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.