Integrated in vivo multiomics analysis identifies p21-activated kinase signaling as a driver of colitis
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Author(s) • • • • • • • • •
Ghazi, Phaedra C.
Baldwin, Katherine R.
Edwards, Amanda
Boukhali, Myriam
Lin, Yi-Jang
Yajnik, Vijay
Kissil, Joseph L.
Haas, Wilhelm
Haigis, Kevin M.
Lyons, Jesse Stolberg
Date Issued
February 2018
Journal
Science Signaling
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Lyons, Jesse, et al. “Integrated in Vivo Multiomics Analysis Identifies P21-Activated Kinase Signaling as a Driver of Colitis.” Science Signaling, vol. 11, no. 519, Feb. 2018, p. eaan3580.
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Author's final manuscript
Abstract
Inflammatory bowel disease (IBD) is a chronic disorder of the gastrointestinal tract that has limited treatment options. To gain insight into the pathogenesis of chronic colonic inflammation (colitis), we performed a multiomics analysis that integrated RNA microarray, total protein mass spectrometry (MS), and phosphoprotein MS measurements from a mouse model of the disease. Because we collected all three types of data from individual samples, we tracked information flow from RNA to protein to phosphoprotein and identified signaling molecules that were coordinately or discordantly regulated and pathways that had complex regulation in vivo. For example, the genes encoding acute-phase proteins were expressed in the liver, but the proteins were detected by MS in the colon during inflammation. We also ascertained the types of data that best described particular facets of chronic inflammation. Using gene set enrichment analysis and trans-omics coexpression network analysis, we found that each data set provided a distinct viewpoint on the molecular pathogenesis of colitis. Combining human transcriptomic data with the mouse multiomics data implicated increased p21-activated kinase (Pak) signaling as a driver of colitis. Chemical inhibition of Pak1 and Pak2 with FRAX597 suppressed active colitis in mice. These studies provide translational insights into the mechanisms contributing to colitis and identify Pak as a potential therapeutic target in IBD.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Koch Institute for Integrative Cancer Research at MIT
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DOI of Published Version
https://doi.org/10.1126/scisignal.aan3580