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Identification of Disease–miRNA Networks Across Different Cancer Types Using SWIM

The idea that the greater complexity of higher eukaryotes arises from the portion of the genome called non-coding RNAs (ncRNAs) is becoming increasingly widespread [Costa 2008, Mattick 2009]. Indeed, ncRNAs are of growing interest, as they have been found to be important regulators of gene expression in development, physiology, and, when dysfunctional, in the presence of disease. This variegated class of RNA species encompasses the well-known microRNAs (miRNAs), as well as the most recently acknowledged long non-coding RNAs (lncRNAs). Discovered first, miRNAs have been intensively studied and much is now known about their biological functions, as opposed to lncRNAs that constitutes a new, potentially fascinating, territory to be explored yet. miRNAs are single-stranded short RNAs (∼ 22 nucleotides long) that post-transcriptionally regulate gene expression by translation inhibition or degradation of their target mRNAs [Filipowicz 2008, Bartel 2009, Mercer 2009, Koziol 2010]. Virtually, all biological processes have been proved to involve miRNA regulation, including development, metabolism, cell proliferation, differentiation and apoptosis [Lee 19993, Brennecke 2003]. Accordingly, altered miRNA expression characterizes many human diseases and mounting evidence strongly links specific miRNAs to tumor initiation, progression and metastasis [Lu Nature 2005, Iorio 2007, Gaur 2007, Ma Nature 2007, Garzon 2009, Spizzo 2009, Reddy 2015, Peng 2016, Catalanotto 2016].


Autori IIT:

Tipo: Capitolo di libro
Area di disciplina: Computer Science & Engineering

File: capitoloSpinger_giulia_FR_MP.pdf

Attività: Biologia computazionale