Identification of key regulators in chronic kidney disease: a systems biology approach
Student name: Ms Surbhi Nautiyal
Guide: Dr Pallavi Somvanshi
Year of completion: 2018
Host Organisation: School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi
Supervisor (Host Organisation): Dr R. K Brojen Singh
Abstract: Chronic Kidney Disease has become a global burden with millions of deaths every year. It is the gradual loss of kidney failure due to various causes. Chances of mortality are very high if the disease is diagnosed in the later stages. This study involves identification of key regulators involved in chronic kidney disease using the system biology approach of network analysis. Network analysis of biological systems has gained acceptance as a useful method for data integration and analysis. Through literature mining a comprehensive list of gene involved in CKD was prepared and gene - gene interaction network was generated through the software tool Cytoscape 3.6. Further, the topological properties which give valuable information about the internal organization of a biological network, were determined and plotted. Next community finding was performed on the main network to find the key regulator genes involved in CKD.
Keywords: Chronic Kidney Disease, Systems Biology, Network Analysis
