Title | Molecular network analysis of phosphotyrosine and lipid metabolism in hepatic PTP1b deletion mice. |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Miraldi, ER, Sharfi, H, Friedline, RH, Johnson, H, Zhang, T, Lau, KS, Ko, HJ, Curran, TG, Haigis, KM, Yaffe, MB, Bonneau, R, Lauffenburger, DA, Kahn, BB, Kim, JK, Neel, BG, Saghatelian, A, White, FM |
Journal | Integr Biol (Camb) |
Volume | 5 |
Issue | 7 |
Pagination | 940-63 |
Date Published | 2013 Jul 24 |
ISSN | 1757-9708 |
Abstract | Metabolic syndrome describes a set of obesity-related disorders that increase diabetes, cardiovascular, and mortality risk. Studies of liver-specific protein-tyrosine phosphatase 1b (PTP1b) deletion mice (L-PTP1b(-/-)) suggest that hepatic PTP1b inhibition would mitigate metabolic-syndrome through amelioration of hepatic insulin resistance, endoplasmic-reticulum stress, and whole-body lipid metabolism. However, the altered molecular-network states underlying these phenotypes are poorly understood. We used mass spectrometry to quantify protein-phosphotyrosine network changes in L-PTP1b(-/-) mouse livers relative to control mice on normal and high-fat diets. We applied a phosphosite-set-enrichment analysis to identify known and novel pathways exhibiting PTP1b- and diet-dependent phosphotyrosine regulation. Detection of a PTP1b-dependent, but functionally uncharacterized, set of phosphosites on lipid-metabolic proteins motivated global lipidomic analyses that revealed altered polyunsaturated-fatty-acid (PUFA) and triglyceride metabolism in L-PTP1b(-/-) mice. To connect phosphosites and lipid measurements in a unified model, we developed a multivariate-regression framework, which accounts for measurement noise and systematically missing proteomics data. This analysis resulted in quantitative models that predict roles for phosphoproteins involved in oxidation-reduction in altered PUFA and triglyceride metabolism. |
DOI | 10.1039/c3ib40013a |
Alternate Journal | Integr Biol (Camb) |
PubMed ID | 23685806 |
PubMed Central ID | PMC3759823 |
Grant List | 5R24DK090963 / DK / NIDDK NIH HHS / United States CA49152 / CA / NCI NIH HHS / United States R01 CA049152 / CA / NCI NIH HHS / United States R01 DK080756 / DK / NIDDK NIH HHS / United States R01-DK080756 / DK / NIDDK NIH HHS / United States R24 DK090963 / DK / NIDDK NIH HHS / United States U24 DK093000 / DK / NIDDK NIH HHS / United States U54 CA112967 / CA / NCI NIH HHS / United States U54-CA112967, / CA / NCI NIH HHS / United States |