Evidence map›Paper›PMID 26886880›Full record

ArticlePloS one2016

Genome-Wide De Novo Prediction of Cis-Regulatory Binding Sites in Mycobacterium tuberculosis H37Rv.

Wei Wu, Xian Sun, Yun Gao, Jun Jiang, Zhenling Cui, Baoxue Ge, Hai Wu, Lu Zhang, Yao Li

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 3 institutions in 1 country.

Wei WuState Key Lab of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, College of Life Sciences, Fudan University, Shanghai, PR China.
Xian SunState Key Lab of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, College of Life Sciences, Fudan University, Shanghai, PR China.
Yun GaoState Key Lab of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, College of Life Sciences, Fudan University, Shanghai, PR China.
Jun JiangState Key Lab of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, College of Life Sciences, Fudan University, Shanghai, PR China.
Zhenling CuiShanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Medical School, Tongji University, Shanghai, China.
Baoxue GeShanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Medical School, Tongji University, Shanghai, China.
Hai WuState Key Lab of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, College of Life Sciences, Fudan University, Shanghai, PR China.
Lu ZhangState Key Lab of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, College of Life Sciences, Fudan University, Shanghai, PR China.
Yao LiState Key Lab of Genetic Engineering, Shanghai Engineering Research Center of Industrial Microorganisms, College of Life Sciences, Fudan University, Shanghai, PR China.
Fudan University · CNState Key Laboratory of Genetic EngineeringTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transcription regulatory system of Mycobacterium tuberculosis (M. tb) remains incompletely understood. In this study, we have applied the eGLECLUBS algorithm to a group of related prokaryotic genomes for de novo genome-wide prediction of cis-regulatory binding sites (CRBSs) in M. tb H37Rv. The top 250 clusters from our prediction recovered 83.3% (50/60) of all known CRBSs in extracted inter-operonic sequences of this strain. We further demonstrated that the integration of our prediction results with the ChIP-Seq datasets is very effective in identifying true binding sites of TFs. Using electrophoretic mobility shift assays and real-time RT-PCR, we experimentally verified our prediction of CRBSs for Rv0081, an important transcription factor thought to be involved in regulation of M. tb under hypoxia.

Indexed as

Genome, BacterialBinding SitesChromatin ImmunoprecipitationDatabases, GeneticElectrophoretic Mobility Shift AssayGene Expression Regulation, BacterialMycobacterium tuberculosisReal-Time Polymerase Chain ReactionRegulatory Sequences, Nucleic AcidReproducibility of ResultsSoftwareTranscription FactorsUp-RegulationTranscription Factors

Identifiers

PMID26886880
PMCPMC4757040
OpenAlexW2282076466

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.