Evidence map›Paper›PMID 30371815›Full record

ArticleNucleic acids research2019

TransmiR v2.0: an updated transcription factor-microRNA regulation database.

Zhan Tong, Qinghua Cui, Juan Wang, Yuan Zhou

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 208 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
208citing 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

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

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

  1. Pooled it
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  13. Construction and Analysis of miRNA Regulatory Networks.Methods in molecular biology (Clifton, N.J.) · 2026
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  16. Pharmaceuticals (Basel, Switzerland) · 2025
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148 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

4 authors.

Zhan TongDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Qinghua CuiDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Juan WangDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.
Yuan ZhouDepartment of Biomedical Informatics, School of Basic Medical Sciences, Peking University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are important post-transcriptional regulators of gene expression and play vital roles in various biological processes. It has been reported that aberrant regulation of miRNAs was associated with the development and progression of various diseases, but the underlying mechanisms are not fully deciphered. Here, we described our updated TransmiR v2.0 database for more comprehensive information about transcription factor (TF)-miRNA regulations. 3730 TF-miRNA regulations among 19 species from 1349 reports were manually curated by surveying >8000 publications, and more than 1.7 million tissue-specific TF-miRNA regulations were further incorporated based on ChIP-seq data. Besides, we constructed a 'Predict' module to query the predicted TF-miRNA regulations in human based on binding motifs of TFs. To facilitate the community, we provided a 'Network' module to visualize TF-miRNA regulations for each TF and miRNA, or for a specific disease. An 'Enrichment analysis' module was also included to predict TFs that are likely to regulate a miRNA list of interest. In conclusion, with improved data coverage and webserver functionalities, TransmiR v2.0 would be a useful resource for investigating the regulation of miRNAs. TransmiR v2.0 is freely accessible at http://www.cuilab.cn/transmir.

Indexed as

Databases, GeneticGene Expression RegulationComputational BiologyGenomicsHumansMicroRNAsSoftwareSoftware DesignTranscription FactorsUser-Computer InterfaceMicroRNAsTranscription Factors

Identifiers

PMID30371815
PMCPMC6323981

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.