Evidence map›Paper›PMID 35186035›Full record

ArticleFrontiers in genetics2022

TRmir: A Comprehensive Resource for Human Transcriptional Regulatory Information of MiRNAs.

Yu Gao, Chenchen Feng, Yuexin Zhang, Chao Song, Jiaxin Chen, Yanyu Li, Ling Wei, Fengcui Qian, Bo Ai, Yuejuan Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

14 authors at 3 institutions in 1 country.

Yu GaoSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Chenchen FengSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Yuexin ZhangSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Chao SongSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Jiaxin ChenSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Yanyu LiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Ling WeiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Fengcui QianSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Bo AiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Yuejuan LiuSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Jiang ZhuSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Xiaojie SuCollege of Medical Laboratory Science and Technology, Harbin Medical University, Daqing, China.
Chunquan LiSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Qiuyu WangSchool of Medical Informatics, Harbin Medical University, Daqing, China.
Harbin Medical University · CNBeijing Friendship Hospital · CNUniversity of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs, which play important roles in regulating various biological functions. Many available miRNA databases have provided a large number of valuable resources for miRNA investigation. However, not all existing databases provide comprehensive information regarding the transcriptional regulatory regions of miRNAs, especially typical enhancer, super-enhancer (SE), and chromatin accessibility regions. An increasing number of studies have shown that the transcriptional regulatory regions of miRNAs, as well as related single-nucleotide polymorphisms (SNPs) and transcription factors (TFs) have a strong influence on human diseases and biological processes. Here, we developed a comprehensive database for the human transcriptional regulation of miRNAs (TRmir), which is focused on providing a wealth of available resources regarding the transcriptional regulatory regions of miRNAs and annotating their potential roles in the regulation of miRNAs. TRmir contained a total of 5,754,414 typical enhancers/SEs and 1,733,966 chromatin accessibility regions associated with 1,684 human miRNAs. These regions were identified from over 900 human H3K27ac ChIP-seq, ATAC-seq, and DNase-seq samples. Furthermore, TRmir provided detailed (epi)genetic information about the transcriptional regulatory regions of miRNAs, including TFs, common SNPs, risk SNPs, linkage disequilibrium (LD) SNPs, expression quantitative trait loci (eQTLs), 3D chromatin interactions, and methylation sites, especially supporting the display of TF binding sites in the regulatory regions of over 7,000 TF ChIP-seq samples. In addition, TRmir integrated miRNA expression and related disease information, supporting extensive pathway analysis. TRmir is a powerful platform that offers comprehensive information about the transcriptional regulation of miRNAs for users and provides detailed annotations of regulatory regions. TRmir is free for academic users and can be accessed at http://bio.liclab.net/trmir/index.html.

Indexed as

chromatin accessibilitygenetics and epigeneticsmicroRNAsuper-enhancer/typical enhancertranscriptional regulation

Identifiers

PMID35186035
PMCPMC8854293
OpenAlexW4210343885

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.