In a study published (online in advance) in Cell Systems on July 14, 2016, researchers at the Institute for Systems Biology have developed a platform for integrating somatic mutations and gene expression from patient data into a mechanistically based transcriptional regulatory network. They applied this approach to construct the most comprehensive regulatory network for the deadly brain cancer glioblastoma multiforme (GBM).

Read the Full Story here.

Title: Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis
Journal: Cell Systems
Authors: Christopher L. Plaisier, Sofie O’Brien, Brady Bernard, Sheila Reynolds, Zac Simon, Chad M. Toledo, Yu Ding, David J. Reiss, Patrick J. Paddison, Nitin S. Baliga