A least angle regression model for the prediction of canonical and non-canonical miRNA-mRNA interactions.

ABSTRACT: microRNAs (miRNAs) are short non-coding RNAs with regulatory functions in various biological processes including cell differentiation, development and oncogenic transformation. They can bind to mRNA transcripts of protein-coding genes and repress their translation or lead to mRNA degradation. Conversely, the transcription of miRNAs is regulated by proteins including transcription factors, co-factors, and messenger molecules in signaling pathways, yielding a bidirectional regulatory network of gene and miRNA expression. We describe here a least angle regression approach for uncovering the functional interplay of gene and miRNA regulation based on paired gene and miRNA expression profiles. First, we show that gene expression profiles can indeed be reconstructed from the expression profiles o

SUBMITTER: Engelmann JC 

PROVIDER: S-EPMC3398908 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature