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An In Vitro Protocol for Evaluating MicroRNA Levels, Functions, and Associated Target Genes in Tumor Cells
09:45

An In Vitro Protocol for Evaluating MicroRNA Levels, Functions, and Associated Target Genes in Tumor Cells

Published on: May 21, 2019

TUMIR: an experimentally supported database of microRNA deregulation in various cancers

Lei Dong1, Min Luo, Fang Wang

  • 1Department of Biochemistry, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC), National Laboratory of Medical Molecular Biology, Beijing, 100005, PR China. j-yu@ibms.pumc.edu.cn.

Journal of Clinical Bioinformatics
|April 19, 2013
PubMed
Abstract

Insights

The Tumor MicroRNA (TUMIR) database compiles experimentally validated microRNA-cancer interactions. This resource aids researchers in understanding microRNA deregulation in various cancers.

Area of Science:

  • Oncology
  • Genetics
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are implicated in cancer development, but their expression patterns require further elucidation.
  • Existing literature on miRNA-cancer relationships lacks a comprehensive, experimentally validated summary.

Purpose of the Study:

  • To establish a manually curated database of experimentally supported miRNA-cancer interactions.
  • To provide a high-quality, validated resource for studying miRNA deregulation in diverse cancers.

Main Methods:

  • Systematic literature search of PubMed up to May 1, 2012.
  • Manual extraction of data from 205 publications.
  • Inclusion of 1163 entries detailing miRNA-cancer regulatory interactions.

Main Results:

  • The Tumor MicroRNA (TUMIR) database contains 1163 entries on human miRNA-cancer interactions.
  • Each entry includes detailed information such as miRNA name, disease, patient data, and validated targets.
  • The database links to external resources and provides contact information for inquiries.

Conclusions:

  • TUMIR is an open-access website designed to facilitate research on miRNA-cancer relationships.
  • It serves as a valuable tool for researchers seeking to understand miRNA roles in cancer.

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