Evidence map›Paper›PMID 22870325›Full record

ArticlePloS one2012

miRSystem: an integrated system for characterizing enriched functions and pathways of microRNA targets.

Tzu-Pin Lu, Chien-Yueh Lee, Mong-Hsun Tsai, Yu-Chiao Chiu, Chuhsing Kate Hsiao, Liang-Chuan Lai, Eric Y Chuang

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed, 1 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

193 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Systematic Study of Dysregulated MicroRNA in Type 2 Diabetes Mellitus.International journal of molecular sciences · 2017
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  6. Deciphering the Inflammatory Network in Pediatric Recurrent Tonsillitis: The Role of TRAF6, IRAK1, and miR-146a-5p.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026
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133 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.

Tzu-Pin LuYongLin Biomedical Engineering Center, National Taiwan University, Taipei, Taiwan.
Chien-Yueh Lee
Mong-Hsun Tsai
Yu-Chiao Chiu
Chuhsing Kate Hsiao
Liang-Chuan Lai
Eric Y Chuang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany prediction tools for microRNA (miRNA) targets have been developed, but inconsistent predictions were observed across multiple algorithms, which can make further analysis difficult. Moreover, the nomenclature of human miRNAs changes rapidly. To address these issues, we developed a web-based system, miRSystem, for converting queried miRNAs to the latest annotation and predicting the function of miRNA by integrating miRNA target gene prediction and function/pathway analyses.

resultsFirst, queried miRNA IDs were converted to the latest annotated version to prevent potential conflicts resulting from multiple aliases. Next, by combining seven algorithms and two validated databases, potential gene targets of miRNAs and their functions were predicted based on the consistency across independent algorithms and observed/expected ratios. Lastly, five pathway databases were included to characterize the enriched pathways of target genes through bootstrap approaches. Based on the enriched pathways of target genes, the functions of queried miRNAs could be predicted.

conclusionsMiRSystem is a user-friendly tool for predicting the target genes and their associated pathways for many miRNAs simultaneously. The web server and the documentation are freely available at http://mirsystem.cgm.ntu.edu.tw/.

Indexed as

AlgorithmsDatabases, Nucleic AcidMicroRNAsSequence Analysis, RNASoftwareAnimalsHumansMiceMicroRNAs

Identifiers

PMID22870325
PMCPMC3411648

What OpenQuestion holds

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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.