TransmiR: a transcription factor–microRNA regulation database

By Juan Wang, Ming Lu, Chengxiang Qiu, Qinghua Cui. Nucleic Acids Res., 2009

413 citations recorded by the source corpus.

MicroRNAs (miRNAs) regulate gene expression at the posttranscriptional level and are therefore important cellular components. As is true for protein-coding genes, the transcription of miRNAs is regulated by transcription factors (TFs), an important class of gene regulators that act at the transcriptional level. The correct regulation of miRNAs by TFs is critical, and increasing evidence indicates that aberrant regulation of miRNAs by TFs can cause phenotypic variations and diseases. Therefore, a TF–miRNA regulation database would be helpful for understanding the mechanisms by which TFs regulate miRNAs and understanding their contribution to diseases. In this study, we manually surveyed approximately 5000 reports in the literature and identified 243 TF–miRNA regulatory relationships, which were supported experimentally from 86 publications. We used these data to build a TF–miRNA regulatory database (TransmiR, http://cmbi.bjmu.edu.cn/transmir), which contains 82 TFs and 100 miRNAs with 243 regulatory pairs between TFs and miRNAs. In addition, we included references to the published literature (PubMed ID) information about the organism in which the relationship was found, whether the TFs and miRNAs are involved with tumors, miRNA function annotation and miRNA-associated disease annotation. TransmiR provides a user-friendly interface by which interested parties can easily retrieve TF–miRNA regulatory pairs by searching for either a miRNA or a TF.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/ee33f09cd8ec99c89b806847dc90b45f7e8ba008

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cancer Research

  1. Jianhua Yang
  2. Shun Liu
  3. Liang-Hu Qu
  4. Junhao Li
  5. Yuan Zhou
  6. Juan Wang
  7. Qinghua Cui
  8. Hui Zhou

In Molecular Biology

  1. Jianhua Yang
  2. Shun Liu
  3. Liang-Hu Qu
  4. Ruth Nussinov
  5. Junhao Li
  6. Peter Csermely
  7. Yuan Zhou
  8. Juan Wang

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