RT Journal Article
SR Electronic
T1 Meta-analysis reveals pathway signature of Septic Shock
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 051706
DO 10.1101/051706
A1 Samanwoy Mukhopadhyay
A1 Abhaydeep Pandey
A1 Pravat K Thatoi
A1 Bidyut K Das
A1 Balachandran Ravindran
A1 Samsiddhi Bhattacharjee
A1 Saroj K Mohapatra
YR 2016
UL http://biorxiv.org/content/early/2016/05/05/051706.abstract
AB Septic shock is a major medical problem with high morbidity and mortality and incompletely understood biology. Availability of genome-wide expression data from different studies on septic shock empowers the quest for hitherto unidentified pathways by integration and meta-analysis of multiple data sets. Electronic search was performed on medical literature and gene expression databases. Selection of studies was based on the organism (human subjects), tissue of origin (circulating leukocytes) and the platform technology (gene expression microarray). Gene-level meta-analysis was conducted on the six selected studies to identify the genes consistently differentially expressed in septic shock. These genes were then subjected to pathway analysis. The identified up-regulated pathway hsa04380 (Osteoclast Differentiation) was validated in an independent cohort of patients. A simplified model was generated showing the major gene-modules dysregulated in SS.