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| Title: | CRITICAL ANALYSIS OF TRANSCRIPTIONAL AND POST-TRANSCRIPTIONAL REGULATORY NETWORKS IN MULTIPLE MYELOMA | |
| DOI No: | 10.1142/9789814295291_0042 | |
| Source: | BIOCOMPUTING 2010 (pp 397-408) | |
| Author(s): | MARTA BIASIOLO
These authors equally contributed. Dipartimento di Biologia, Università di Padova, via U. Bassi 58/ B, 35121, Padova, Italy MATTIA FORCATO These authors equally contributed. Dipartimento di Scienze Biomediche, Università di Modena, via G. Campi 287, 41125, Modena, Italy LINO POSSAMAI Dipartimento di Matematica Pura ed Applicata, Università di Padova, via Trieste 63, 35121, Padova, Italy FRANCESCO FERRARI Dipartimento di Biologia, Università di Padova, via U. Bassi 58/ B, 35121, Padova, Italy LUCA AGNELLI Dipartimento di Scienze Mediche, Università di Milano, Ematologia 1, CTMO, Fondazione IRCCS Ospedale Policlinico, Via F. Sforza, 35, 20122 Milano, Italy MARTA LIONETTI Dipartimento di Scienze Mediche, Università di Milano, Ematologia 1, CTMO, Fondazione IRCCS Ospedale Policlinico, Via F. Sforza, 35, 20122 Milano, Italy KATIA TODOERTI Dipartimento di Scienze Mediche, Università di Milano, Ematologia 1, CTMO, Fondazione IRCCS Ospedale Policlinico, Via F. Sforza, 35, 20122 Milano, Italy ANTONINO NERI Dipartimento di Scienze Mediche, Università di Milano, Ematologia 1, CTMO, Fondazione IRCCS Ospedale Policlinico, Via F. Sforza, 35, 20122 Milano, Italy MASSIMO MARCHIORI Dipartimento di Matematica Pura ed Applicata, Università di Padova, via Trieste 63, 35121, Padova, Italy STEFANIA BORTOLUZZI Dipartimento di Biologia, Università di Padova, via U. Bassi 58/ B, 35121, Padova, Italy SILVIO BICCIATO Dipartimento di Scienze Biomediche, Università di Modena, via G. Campi 287, 41125, Modena, Italy |
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| 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. | |
| Full Text: | View full text in PDF format (3274KB) | |
| TOC: | Back to Table of Contents | |
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