Evidence map›Paper›PMID 19420067›Full record

ArticleNucleic acids research2009

MicroRNA and mRNA integrated analysis (MMIA): a web tool for examining biological functions of microRNA expression.

Seungyoon Nam, Meng Li, Kwangmin Choi, Curtis Balch, Sun Kim, Kenneth P Nephew

Abstract read
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
–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

93 citing papers in PubMed.

  1. Review
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  6. Review
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  8. Article
  9. Multi-Omics Model Applied to Cancer Genetics.International journal of molecular sciences · 2021
    Review
  10. Article
  11. Unveiling ncRNA regulatory axes in atherosclerosis progression.Clinical and translational medicine · 2020
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. hsa-miR-301a- and SOX10-dependent miRNA-TF-mRNA regulatory circuits in breast cancer.Turkish journal of biology = Turk biyoloji dergisi · 2018
    Article

33 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

6 authors.

Seungyoon NamMedical Sciences Program, Indiana University School of Medicine, Indianapolis, IN, USA.
Meng Li
Kwangmin Choi
Curtis Balch
Sun Kim
Kenneth P Nephew

Funding

Predicting Drug Resistance in Cancer Genomes by DMA Methylation ProfilingU54CA113001 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HUANG, TIM H.-M. · 2004 to 2014
$16.1M
DNA Methylation and Ovarian CancerR01CA085289 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI NEPHEW, KENNETH P · 2002 to 2012
$2.4M
NCI NIH HHS R01CA 085289NCI NIH HHS U54 CA113001
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small (19-24 nt), nonprotein-coding nucleic acids that regulate specific 'target' gene products via hybridization to mRNA transcripts, resulting in translational blockade or transcript degradation. Although miRNAs have been implicated in numerous developmental and adult diseases, their specific impact on biological pathways and cellular phenotypes, in addition to miRNA gene promoter regulation, remain largely unknown. To improve and facilitate research of miRNA functions and regulation, we have developed MMIA (microRNA and mRNA integrated analysis), a versatile and user-friendly web server. By incorporating three commonly used and accurate miRNA prediction algorithms, TargetScan, PITA and PicTar, MMIA integrates miRNA and mRNA expression data with predicted miRNA target information for analyzing miRNA-associated phenotypes and biological functions by gene set analysis, in addition to analysis of miRNA primary transcript gene promoters. To assign biological relevance to the integrated miRNA/mRNA profiles, MMIA uses exhaustive human genome coverage, including classification into various disease-associated genes as well as conventional canonical pathways and Gene Ontology. In summary, this novel web server (cancer.informatics.indiana.edu/mmia) will provide life science researchers with a valuable tool for the study of the biological (and pathological) causes and effects of the expression of this class of interesting protein regulators.

Indexed as

SoftwareDatabases, GeneticHumansInternetMicroRNAsRNA InterferenceRNA, MessengerUser-Computer InterfaceMicroRNAsRNA, Messenger

Identifiers

PMID19420067
PMCPMC2703907

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.