TY - JOUR
T1 - Vasohibin-1 is identified as a master-regulator of endothelial cell apoptosis using gene network analysis
AU - Affara, Muna
AU - Sanders, Debbie
AU - Araki, Hiromitsu
AU - Tamada, Yoshinori
AU - Dunmore, Benjamin J.
AU - Humphreys, Sally
AU - Imoto, Seiya
AU - Savoie, Christopher
AU - Miyano, Satoru
AU - Kuhara, Satoru
AU - Jeffries, David
AU - Print, Cristin
AU - Charnock-Jones, D. Stephen
N1 - Funding Information:
A subset of the laboratory work described in this manuscript was funded by the company GNI Ltd. The Biotechnology and Biological Sciences Research Council (BBSRC) also supported aspects of this research. Part of CP’s contribution was funded by the Health Research Council of New Zealand’s International Investment Opportunities Fund. The supercomputing resource for the estimation of GRN was provided by Human Genome Center, Institute of Medical Science, University of Tokyo (http://sc.hgc.jp/shirokane.html).
PY - 2013/1/16
Y1 - 2013/1/16
N2 - Background: Apoptosis is a critical process in endothelial cell (EC) biology and pathology, which has been extensively studied at protein level. Numerous gene expression studies of EC apoptosis have also been performed, however few attempts have been made to use gene expression data to identify the molecular relationships and master regulators that underlie EC apoptosis. Therefore, we sought to understand these relationships by generating a Bayesian gene regulatory network (GRN) model.Results: ECs were induced to undergo apoptosis using serum withdrawal and followed over a time course in triplicate, using microarrays. When generating the GRN, this EC time course data was supplemented by a library of microarray data from EC treated with siRNAs targeting over 350 signalling molecules.The GRN model proposed Vasohibin-1 (VASH1) as one of the candidate master-regulators of EC apoptosis with numerous downstream mRNAs. To evaluate the role played by VASH1 in EC, we used siRNA to reduce the expression of VASH1. Of 10 mRNAs downstream of VASH1 in the GRN that were examined, 7 were significantly up- or down-regulated in the direction predicted by the GRN.Further supporting an important biological role of VASH1 in EC, targeted reduction of VASH1 mRNA abundance conferred resistance to serum withdrawal-induced EC death. Conclusion: We have utilised Bayesian GRN modelling to identify a novel candidate master regulator of EC apoptosis. This study demonstrates how GRN technology can complement traditional methods to hypothesise the regulatory relationships that underlie important biological processes.
AB - Background: Apoptosis is a critical process in endothelial cell (EC) biology and pathology, which has been extensively studied at protein level. Numerous gene expression studies of EC apoptosis have also been performed, however few attempts have been made to use gene expression data to identify the molecular relationships and master regulators that underlie EC apoptosis. Therefore, we sought to understand these relationships by generating a Bayesian gene regulatory network (GRN) model.Results: ECs were induced to undergo apoptosis using serum withdrawal and followed over a time course in triplicate, using microarrays. When generating the GRN, this EC time course data was supplemented by a library of microarray data from EC treated with siRNAs targeting over 350 signalling molecules.The GRN model proposed Vasohibin-1 (VASH1) as one of the candidate master-regulators of EC apoptosis with numerous downstream mRNAs. To evaluate the role played by VASH1 in EC, we used siRNA to reduce the expression of VASH1. Of 10 mRNAs downstream of VASH1 in the GRN that were examined, 7 were significantly up- or down-regulated in the direction predicted by the GRN.Further supporting an important biological role of VASH1 in EC, targeted reduction of VASH1 mRNA abundance conferred resistance to serum withdrawal-induced EC death. Conclusion: We have utilised Bayesian GRN modelling to identify a novel candidate master regulator of EC apoptosis. This study demonstrates how GRN technology can complement traditional methods to hypothesise the regulatory relationships that underlie important biological processes.
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U2 - 10.1186/1471-2164-14-23
DO - 10.1186/1471-2164-14-23
M3 - Article
C2 - 23324451
AN - SCOPUS:84872197820
SN - 1471-2164
VL - 14
JO - BMC genomics
JF - BMC genomics
IS - 1
M1 - 23
ER -