Discovery of time-delayed gene regulatory networks based on temporal gene expression profiling

Background: It is one of the ultimate goals for modern biological research to fully elucidate the intricate interplays and the regulations of the molecular determinants that propel and characterize the progression of versatile life phenomena, to name a few, cell cycling, developmental biology, aging, and the progressive and recurrent pathogenesis of complex diseases. The vast amount of large-scale and genome-wide time-resolved data is becoming increasing available, which provides the golden opportunity to unravel the challenging reverseengineering problem of time-delayed gene regulatory networks. Results: In particular, this methodological paper aims to reconstruct regulatory networks from temporal gene expression data by using delayed correlations between genes, i.e., pairwise overlaps of expression levels shifted in time relative each other. We have thus developed a novel model-free computational toolbox termed TdGRN (Time-delayed Gene Regulatory Network) to address the underlying r...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Xia Li, Shaoqi Rao, Wei Jiang, Chuanxing Li, Yun Xiao, Zheng Guo, Qingpu Zhang, Lihong Wang, Lei Du, Jing Li, Li Li, Tianwen Zhang, Qing K. Wang
• Keywords: BMCBI 2006, Cell Cycling, Gene Regulations, Gene Regulatory Network