Integrated approaches to uncovering transcription regulatory networks in mammalian cells.
Integrative systems biology has emerged as an exciting research approach in molecular biology and functional genomics that involves the integration of genomics, proteomics, and metabolomics datasets. These endeavors establish a systematic paradigm by which to interrogate, model, and iteratively refine our knowledge of the regulatory events within a cell. Here we review the latest technologies available to collect high-throughput measurements of a cellular state as well as the most successful methods for the integration and interrogation of these measurements. In particular we will focus on methods available to infer transcription regulatory networks in mammals.
Tan
Kai
K
Department of Bioengineering, Jacobs School of Engineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. ktan@bioeng.ucsd.edu
Tegner
Jesper
J
Ravasi
Timothy
T
D000818:Animals; D019295:Computational Biology; D016208:Databases, Factual; D023281:Genomics; D006801:Humans; D008322:Mammals; D008660:Metabolism; D025941:Protein Interaction Mapping; D040901:Proteomics; D050436:Regulatory Elements, Transcriptional; D049490:Systems Biology; D015533:Transcriptional Activation