Evidence map›Paper›PMID 23193297›Full record

ArticleNucleic acids research2013

MiRGator v3.0: a microRNA portal for deep sequencing, expression profiling and mRNA targeting.

Sooyoung Cho, Insu Jang, Yukyung Jun, Suhyeon Yoon, Minjeong Ko, Yeajee Kwon, Ikjung Choi, Hyeshik Chang, Daeun Ryu, Byungwook Lee and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 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
    Pooled it
  2. Trial
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  7. UALCAN Mobile, an app for cancer proteogenomic data analysis.bioRxiv : the preprint server for biology · 2025
    Article
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  10. Identification of a Novel miR-195-5p/PNN Axis in Colorectal Cancer.International journal of molecular sciences · 2024
    Article
  11. miRNAs in Heart Development and Disease.International journal of molecular sciences · 2024
    Review
  12. MicroRNA Expression Profile in Early-Stage Breast Cancers.MicroRNA (Shariqah, United Arab Emirates) · 2024
    Article
  13. Review
  14. ESOMIR: a curated database of biomarker genes and miRNAs associated with esophageal cancer.Database : the journal of biological databases and curation · 2023
    Article
  15. Review
  16. Review of databases for experimentally validated human microRNA-mRNA interactions.Database : the journal of biological databases and curation · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Article

32 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

13 authors.

Sooyoung ChoEwha Research Center for Systems Biology (ERCSB), Ewha Womans University, Seoul 120-750, Korea.
Insu Jang
Yukyung Jun
Suhyeon Yoon
Minjeong Ko
Yeajee Kwon
Ikjung Choi
Hyeshik Chang
Daeun Ryu
Byungwook Lee
V Narry Kim
Wankyu Kim
Sanghyuk Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biogenesis and molecular function are two key subjects in the field of microRNA (miRNA) research. Deep sequencing has become the principal technique in cataloging of miRNA repertoire and generating expression profiles in an unbiased manner. Here, we describe the miRGator v3.0 update (http://mirgator.kobic.re.kr) that compiled the deep sequencing miRNA data available in public and implemented several novel tools to facilitate exploration of massive data. The miR-seq browser supports users to examine short read alignment with the secondary structure and read count information available in concurrent windows. Features such as sequence editing, sorting, ordering, import and export of user data would be of great utility for studying iso-miRs, miRNA editing and modifications. miRNA-target relation is essential for understanding miRNA function. Coexpression analysis of miRNA and target mRNAs, based on miRNA-seq and RNA-seq data from the same sample, is visualized in the heat-map and network views where users can investigate the inverse correlation of gene expression and target relations, compiled from various databases of predicted and validated targets. By keeping datasets and analytic tools up-to-date, miRGator should continue to serve as an integrated resource for biogenesis and functional investigation of miRNAs.

Indexed as

Databases, Nucleic AcidHigh-Throughput Nucleotide SequencingInternetMicroRNAsRNA, MessengerSequence Analysis, RNATranscriptomeMicroRNAsRNA, Messenger

Identifiers

PMID23193297
PMCPMC3531224

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.