Literature DB >> 19908392

Critical analysis of transcriptional and post-transcriptional regulatory networks in multiple myeloma.

Marta Biasiolo1, Mattia Forcato, Lino Possamai, Francesco Ferrari, Luca Agnelli, Marta Lionetti, Katia Todoerti, Antonino Neri, Massimo Marchiori, Stefania Bortoluzzi, Silvio Bicciato.   

Abstract

Network analysis has emerged as a powerful approach to understand complex phenomena and organization in social, technological and biological systems. In particular, it is increasingly recognized the role played by the topology of cellular networks, the intricate web of interactions among genes, proteins and other molecules regulating cell activity, in unveiling the biological mechanisms underlying the physiological states of living organisms. In this study, critical analysis of network components has been applied to inspect the transcriptional and post-transcriptional regulatory networks reconstructed from mRNA and microRNA expression data of multiple myeloma (MM) samples. Specifically, the importance of a gene as a putative regulatory element has been assessed calculating the drop in the network performance caused by its deactivation instead of quantifying its degree of connectivity. The application of critical analysis to transcriptional and post-transcriptional regulatory networks allowed inferring novel regulatory relations potentially functional in multiple myeloma.

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Year:  2010        PMID: 19908392     DOI: 10.1142/9789814295291_0042

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  3 in total

Review 1.  MicroRNAs in multiple myeloma and related bone disease.

Authors:  Marco Rossi; Pierosandro Tagliaferri; Pierfrancesco Tassone
Journal:  Ann Transl Med       Date:  2015-12

2.  Impact of host genes and strand selection on miRNA and miRNA* expression.

Authors:  Marta Biasiolo; Gabriele Sales; Marta Lionetti; Luca Agnelli; Katia Todoerti; Andrea Bisognin; Alessandro Coppe; Chiara Romualdi; Antonino Neri; Stefania Bortoluzzi
Journal:  PLoS One       Date:  2011-08-31       Impact factor: 3.240

3.  Micro-macro analysis of complex networks.

Authors:  Massimo Marchiori; Lino Possamai
Journal:  PLoS One       Date:  2015-01-30       Impact factor: 3.240

  3 in total

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