miRIAD-integrating microRNA inter- and intragenic data

Author(s)

Hinske, Ludwig Christian ; Franca, Gustavo S. ; Torres, Hugo A. M. ; Ohara, Daniel T. ; Lopes-Ramos, Camila M. ; Heyn, Jens ; Reis, Luiz F. L. ; Ohno-Machado, Lucila ; Kreth, Simone ; Galante, Pedro A. F.

• Document type: Journal article
• Source: DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION; v. N/A, p. 9-pg., 2014-10-06.

Abstract

MicroRNAs (miRNAs) are a class of small (similar to 22 nucleotides) non-coding RNAs that post-transcriptionally regulate gene expression by interacting with target mRNAs. A majority of miRNAs is located within intronic or exonic regions of protein-coding genes (host genes), and increasing evidence suggests a functional relationship between these miRNAs and their host genes. Here, we introduce miRIAD, a web-service to facilitate the analysis of genomic and structural features of intragenic miRNAs and their host genes for five species (human, rhesus monkey, mouse, chicken and opossum). miRIAD contains the genomic classification of all miRNAs (inter-and intragenic), as well as classification of all protein-coding genes into host or non-host genes (depending on whether they contain an intragenic miRNA or not). We collected and processed public data from several sources to provide a clear visualization of relevant knowledge related to intragenic miRNAs, such as host gene function, genomic context, names of and references to intragenic miRNAs, miRNA binding sites, clusters of intragenic miRNAs, miRNA and host gene expression across different tissues and expression correlation for intragenic miRNAs and their host genes. Protein-protein interaction data are also presented for functional network analysis of host genes. In summary, miRIAD was designed to help the research community to explore, in a user-friendly environment, intragenic miRNAs, their host genes and functional annotations with minimal effort, facilitating hypothesis generation and in-silico validations. (AU)

• FAPESP's process: 11/19645-6 - MicroRNA expression profiling and its association with chemotherapeutic drug response in colon cancer cell lines
• Grantee: Gustavo Starvaggi França
• Support Opportunities: Scholarships in Brazil - Doctorate