Integrated in vivo multiomics analysis identifies p21-activated kinase signaling as a driver of colitis.
Integrated in vivo multiomics analysis identifies p21-activated kinase signaling as a driver of colitis.
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DOI:
10.1126/scisignal.aan3580
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发表时间:
2018-02-27
影响因子:
7.3
通讯作者:
Haigis KM
中科院分区:
文献类型:
--
作者:
Lyons J;Brubaker DK;Ghazi PC;Baldwin KR;Edwards A;Boukhali M;Strasser SD;Suarez-Lopez L;Lin YJ;Yajnik V;Kissil JL;Haas W;Lauffenburger DA;Haigis KM
Inflammatory bowel disease (IBD) is a chronic disorder of the gastrointestinal tract. The molecular mechanisms underlying IBD are poorly characterized and treatment options are limited. To gain insight into the pathogenesis of chronic colonic inflammation (colitis), we performed a multi-omic analysis that integrates 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 could track information flow from RNA to protein to phosphoprotein to identify signaling molecules that were coordinately or discordantly regulated. With this information, we identified pathways that had complex in vivo regulation. For example, the genes encoding acute phase proteins were expressed in the liver, but the proteins were detected by MS in colons during inflammation. We also used the multi-dimensional dataset to ascertain which types of data best described particular facets of chronic inflammation. Using gene set enrichment analysis and trans-omic co-expression network analysis, we found that each data set provides a unique viewpoint on the molecular pathogenesis of colitis. Combining human transcriptomic data with the mouse multi-omic data implicated increased p21-activated kinase (Pak) signaling as a driver of colitis and 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 therapeutic target in IBD. Transcriptomics, proteomics, and phospho-proteomics reveals therapeutic targets in colitis.
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影响因子:
64.5
作者:
Huttlin EL;Jedrychowski MP;Elias JE;Goswami T;Rad R;Beausoleil SA;Villén J;Haas W;Sowa ME;Gygi SP
通讯作者:
Gygi SP
DOI:
10.1186/1745-7580-4-5
发表时间:
2008-04-29
期刊:
Immunome research
影响因子:
--
作者:
Lattin JE;Schroder K;Su AI;Walker JR;Zhang J;Wiltshire T;Saijo K;Glass CK;Hume DA;Kellie S;Sweet MJ
通讯作者:
Sweet MJ
影响因子:
3.7
作者:
Itakura A;Aslan JE;Kusanto BT;Phillips KG;Porter JE;Newton PK;Nan X;Insall RH;Chernoff J;McCarty OJ
通讯作者:
McCarty OJ
影响因子:
3.7
作者:
Laubitz D;Harrison CA;Midura-Kiela MT;Ramalingam R;Larmonier CB;Chase JH;Caporaso JG;Besselsen DG;Ghishan FK;Kiela PR
通讯作者:
Kiela PR
影响因子:
15.9
作者:
D'Alessio, Silvia;Correale, Carmen;Danese, Silvio
通讯作者:
Danese, Silvio