Evidence map›Paper›PMID 29878154›Full record

ArticleNucleic acids research2018

TAM 2.0: tool for MicroRNA set analysis.

Jianwei Li, Xiaofen Han, Yanping Wan, Shan Zhang, Yingshu Zhao, Rui Fan, Qinghua Cui, Yuan Zhou

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 3 pooled it
6.4field-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

120 citing papers in PubMed, 3 syntheses or guidelines pooled it, 189 citations in OpenAlex.

  1. Pooled it
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  3. Frontiers in medicine · 2020
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  16. Evaluating Genetic Regulators of MicroRNAs Using Machine Learning Models.International journal of molecular sciences · 2025
    Article
  17. Paternal heroin self-administration in rats increases drug-seeking behavior in male offspring via miR-19b downregulation in the nucleus accumbens.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
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60 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

8 authors at 2 institutions in 1 country.

Jianwei LiInstitute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China.
Xiaofen HanInstitute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China.
Yanping WanInstitute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China.
Shan ZhangInstitute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China.
Yingshu ZhaoInstitute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China.
Rui FanInstitute of Computational Medicine, School of Artificial Intelligence, Hebei University of Technology, Tianjin 300401, China.
Qinghua CuiDepartment of Biomedical Informatics, School of Basic Medical Sciences, Center for Noncoding RNA Medicine, Peking University, Beijing 100191, China.
Yuan ZhouDepartment of Biomedical Informatics, School of Basic Medical Sciences, Center for Noncoding RNA Medicine, Peking University, Beijing 100191, China.
Hebei University of Technology · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid accumulation of high-throughput microRNA (miRNA) expression profile, the up-to-date resource for analyzing the functional and disease associations of miRNAs is increasingly demanded. We here describe the updated server TAM 2.0 for miRNA set enrichment analysis. Through manual curation of over 9000 papers, a more than two-fold growth of reference miRNA sets has been achieved in comparison with previous TAM, which covers 9945 and 1584 newly collected miRNA-disease and miRNA-function associations, respectively. Moreover, TAM 2.0 allows users not only to test the functional and disease annotations of miRNAs by overrepresentation analysis, but also to compare the input de-regulated miRNAs with those de-regulated in other disease conditions via correlation analysis. Finally, the functions for miRNA set query and result visualization are also enabled in the TAM 2.0 server to facilitate the community. The TAM 2.0 web server is freely accessible at http://www.scse.hebut.edu.cn/tam/ or http://www.lirmed.com/tam2/.

Indexed as

SoftwareDiseaseHumansInternetMicroRNAsMicroRNAs

Identifiers

PMID29878154
PMCPMC6031048
OpenAlexW2805684402

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.