Literature DB >> 21348833

Systems biology of apoptosis and survival: implications for drug development.

Salvatore Pezzino1, Sabrina Paratore, Sebastiano Cavallaro.   

Abstract

The advent of "systems biology" has highlighted that any function of a biological system is rarely attributable to a single molecule or a single process. Hence, complex processes, such as apoptosis and survival, depend on the activity of an integrated network of genes and their encoded proteins, which almost never work alone but interact with each other in highly structured and incredibly complex ways. With the completion of genome sequencing in humans and model organisms, and the advent of DNA microarray technology, the transcriptional cascades and gene networks regulating neuronal apoptosis and survival are being elucidated providing new potential pharmacological targets. The emerging challenge is the effective selection of the myriad of targets to identify those with the most therapeutic utility. The present review will illustrate how the identification, prioritization and validation of preclinical therapeutics can be achieved through genomic analysis of critical pathways and networks in neuronal apoptosis and survival.

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Year:  2011        PMID: 21348833     DOI: 10.2174/138161211795049688

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  3 in total

Review 1.  Harnessing system models of cell death signalling for cytotoxic chemotherapy: towards personalised medicine approaches?

Authors:  Heinrich J Huber; Ross G McKiernan; Jochen H M Prehn
Journal:  J Mol Med (Berl)       Date:  2014-01-30       Impact factor: 4.599

2.  Nuclear condensation and cell cycle arrest induced by telomerase siRNA in neuroblastoma cells.

Authors:  Ming-Dar Tsai; Pei-Rong Chen; Lu-Tai Tien; Yu-Jyun Cai; Yih-Jing Lee
Journal:  J Neurooncol       Date:  2012-12-14       Impact factor: 4.130

3.  Vasohibin-1 is identified as a master-regulator of endothelial cell apoptosis using gene network analysis.

Authors:  Muna Affara; Debbie Sanders; Hiromitsu Araki; Yoshinori Tamada; Benjamin J Dunmore; Sally Humphreys; Seiya Imoto; Christopher Savoie; Satoru Miyano; Satoru Kuhara; David Jeffries; Cristin Print; D Stephen Charnock-Jones
Journal:  BMC Genomics       Date:  2013-01-16       Impact factor: 3.969

  3 in total

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