Ontology highlight
ABSTRACT:
SUBMITTER: Monterisi S
PROVIDER: S-EPMC5528658 | biostudies-literature | 2015 Feb
REPOSITORIES: biostudies-literature
Monterisi Simona S D'Ario Giovanni G Dama Elisa E Rotmensz Nicole N Confalonieri Stefano S Tordonato Chiara C Troglio Flavia F Bertalot Giovanni G Maisonneuve Patrick P Viale Giuseppe G Nicassio Francesco F Vecchi Manuela M Di Fiore Pier Paolo PP Bianchi Fabrizio F
Molecular oncology 20141015 2
Around 50% of all human microRNAs reside within introns of coding genes and are usually co-transcribed. Gene expression datasets, therefore, should contain a wealth of miRNA-relevant latent information, exploitable for many basic and translational research aims. The present study was undertaken to investigate this possibility. We developed an in silico approach to identify intronic-miRNAs relevant to breast cancer, using public gene expression datasets. This led to the identification of a miRNA ...[more]