| Title: | "Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks" |
| Address: | "Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA 02139, USA" |
| DOI: | 10.1126/scisignal.2000350 |
| ISSN/ISBN: | 1937-9145 (Electronic) 1945-0877 (Linking) |
| Abstract: | "Cellular signaling and regulatory networks underlie fundamental biological processes such as growth, differentiation, and response to the environment. Although there are now various high-throughput methods for studying these processes, knowledge of them remains fragmentary. Typically, the majority of hits identified by transcriptional, proteomic, and genetic assays lie outside of the expected pathways. These unexpected components of the cellular response are often the most interesting, because they can provide new insights into biological processes and potentially reveal new therapeutic approaches. However, they are also the most difficult to interpret. We present a technique, based on the Steiner tree problem, that uses previously reported protein-protein and protein-DNA interactions to determine how these hits are organized into functionally coherent pathways, revealing many components of the cellular response that are not readily apparent in the original data. Applied simultaneously to phosphoproteomic and transcriptional data for the yeast pheromone response, it identifies changes in diverse cellular processes that extend far beyond the expected pathways" |
| Keywords: | "Algorithms Animals Cluster Analysis Gene Expression Profiling/*methods Humans Models, Biological Pheromones/pharmacology Phosphorylation Protein Binding Protein Interaction Mapping/*methods Proteins/genetics/metabolism Proteomics/*methods RNA, Messenger/g;" |
| Notes: | "MedlineHuang, Shao-Shan Carol Fraenkel, Ernest eng U54 CA112967/CA/NCI NIH HHS/ U54 CA112967-05/CA/NCI NIH HHS/ 2009/07/30 Sci Signal. 2009 Jul 28; 2(81):ra40. doi: 10.1126/scisignal.2000350" |
