Evidence map›Paper›PMID 27924042›Full record

ArticleNucleic acids research2017

PlantTFDB 4.0: toward a central hub for transcription factors and regulatory interactions in plants.

Jinpu Jin, Feng Tian, De-Chang Yang, Yu-Qi Meng, Lei Kong, Jingchu Luo, Ge Gao

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,235 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,235citing papers in PubMed, 2 pooled it
–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

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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

1,235 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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1,175 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

7 authors.

Jinpu JinState Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Beijing 100871, P.R. China.
Feng TianState Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Beijing 100871, P.R. China.
De-Chang YangState Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Beijing 100871, P.R. China.
Yu-Qi MengState Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Beijing 100871, P.R. China.
Lei KongState Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Beijing 100871, P.R. China.
Jingchu LuoState Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Beijing 100871, P.R. China luojc@mail.cbi.pku.edu.cn.
Ge GaoState Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Beijing 100871, P.R. China gaog@mail.cbi.pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the goal of providing a comprehensive, high-quality resource for both plant transcription factors (TFs) and their regulatory interactions with target genes, we upgraded plant TF database PlantTFDB to version 4.0 (http://planttfdb.cbi.pku.edu.cn/). In the new version, we identified 320 370 TFs from 165 species, presenting a more comprehensive genomic TF repertoires of green plants. Besides updating the pre-existing abundant functional and evolutionary annotation for identified TFs, we generated three new types of annotation which provide more directly clues to investigate functional mechanisms underlying: (i) a set of high-quality, non-redundant TF binding motifs derived from experiments; (ii) multiple types of regulatory elements identified from high-throughput sequencing data; (iii) regulatory interactions curated from literature and inferred by combining TF binding motifs and regulatory elements. In addition, we upgraded previous TF prediction server, and set up four novel tools for regulation prediction and functional enrichment analyses. Finally, we set up a novel companion portal PlantRegMap (http://plantregmap.cbi.pku.edu.cn) for users to access the regulation resource and analysis tools conveniently.

Indexed as

Databases, GeneticGene Expression Regulation, PlantGene Regulatory NetworksBinding SitesComputational BiologyEvolution, MolecularGenomicsMolecular Sequence AnnotationNucleotide MotifsPlantsProtein BindingTranscription FactorsWeb BrowserWorkflowTranscription Factors

Identifiers

PMID27924042
PMCPMC5210657

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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.