In type 1 diabetes (T1D) research there remains a critical need for pursuing a systems level understanding of early stage autoimmune-mediated molecular mechanisms which trigger the specific destruction of pancreatic ? cells. Thus, the overall objectives of this application are to discover novel in vivo signaling pathways and regulatory networks that contribute to early stage ? cell stress and death, and to identify potential therapeutic targets for intervention and early diagnostic biomarkers. These objectives will be pursued by applying enabling proteomics technologies focusing on posttranslational protein modifications (PTMs) to unique sets of human islet samples. Specifically, we hypothesize that posttranslational regulation, involving phosphorylation, S- nitrosylation, and S-glutathionylation, represents a fundamental triggering mechanism of ? cell dysfunction preceding overt T1D. To address the limitations associated with clinical samples for studying dynamic signaling networks, our plan utilizes three complementary model systems: a) human islets isolated by laser-capture microdissection from clinical human pancreatic tissues, b) human islets treated with cytokines in vitro, and c) human islets transplanted in 'humanized' mice for recapitulating in vivo islet dysfunction. Studies in Aim 1 will identify signaling pathway and networks involved in early stage ? cell dysfunction and apoptosis using global PTM focused proteomic technologies.
In Aim 2, we will apply a targeted quantification approach to verify specific regulatory networks and PTMs of interest using samples from individual patients as well as time- course islet samples from 'humanized' mice.
In Aim 3, we will evaluate protein targets discovered in the first two aims, determining their potential as ? cell specific markers for early T1D diagnosis in serum, and their potential functional roles in ? cell apoptosis through additional cultured islet studies. Together, we anticipate that this project will demonstrate a new paradigm of systems level study of posttranslational regulation of ? cell dysfunction and apoptosis, and will provide a novel integrative view of the early stage regulatory networks that potentially trigger ? cell apoptosis and T1D. This work will also provide a rich molecular data resource for the consortium on beta-cell death and survival (CBDS), the human islet research network (HIRN), and the diabetes community in generating new hypotheses for functional studies.

Public Health Relevance

The in vivo molecular mechanisms leading to the destruction of beta-cells in type 1 diabetes are still largely elusive. The proposed research will lead to a systems level understanding of signaling and regulatory networks that trigger early stage beta-cell dysfunction in type 1 diabetes. The obtained data will reveal novel therapeutic targets and biomarkers for early interventions and diagnosis.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
High Impact Research and Research Infrastructure Cooperative Agreement Programs—Multi-Yr Funding (UC4)
Project #
3UC4DK104167-01S1
Application #
9166075
Study Section
Special Emphasis Panel (ZDK1-GRB-S (O4))
Program Officer
Sato, Sheryl M
Project Start
2014-09-20
Project End
2017-08-31
Budget Start
2014-09-20
Budget End
2017-08-31
Support Year
1
Fiscal Year
2016
Total Cost
$98,016
Indirect Cost
$10,154
Name
Battelle Pacific Northwest Laboratories
Department
Type
DUNS #
032987476
City
Richland
State
WA
Country
United States
Zip Code
99352
Yi, Lian; Shi, Tujin; Gritsenko, Marina A et al. (2018) Targeted Quantification of Phosphorylation Dynamics in the Context of EGFR-MAPK Pathway. Anal Chem 90:5256-5263
Dou, Maowei; Zhu, Ying; Liyu, Andrey et al. (2018) Nanowell-mediated two-dimensional liquid chromatography enables deep proteome profiling of <1000 mammalian cells. Chem Sci 9:6944-6951
Kramer, Philip A; Duan, Jicheng; Gaffrey, Matthew J et al. (2018) Fatiguing contractions increase protein S-glutathionylation occupancy in mouse skeletal muscle. Redox Biol 17:367-376
Zhu, Ying; Piehowski, Paul D; Zhao, Rui et al. (2018) Nanodroplet processing platform for deep and quantitative proteome profiling of 10-100 mammalian cells. Nat Commun 9:882
Yi, Lian; Swensen, Adam C; Qian, Wei-Jun (2018) Serum biomarkers for diagnosis and prediction of type 1 diabetes. Transl Res 201:13-25
Shi, Tujin; Gaffrey, Matthew J; Fillmore, Thomas L et al. (2018) Facile carrier-assisted targeted mass spectrometric approach for proteomic analysis of low numbers of mammalian cells. Commun Biol 1:103
Zhu, Ying; Dou, Maowei; Piehowski, Paul D et al. (2018) Spatially Resolved Proteome Mapping of Laser Capture Microdissected Tissue with Automated Sample Transfer to Nanodroplets. Mol Cell Proteomics 17:1864-1874
Yi, Lian; Piehowski, Paul D; Shi, Tujin et al. (2017) Advances in microscale separations towards nanoproteomics applications. J Chromatogr A 1523:40-48
Kawamori, Dan; Shirakawa, Jun; Liew, Chong Wee et al. (2017) GLP-1 signalling compensates for impaired insulin signalling in regulating beta cell proliferation in ?IRKO mice. Diabetologia 60:1442-1453
Duan, Jicheng; Gaffrey, Matthew J; Qian, Wei-Jun (2017) Quantitative proteomic characterization of redox-dependent post-translational modifications on protein cysteines. Mol Biosyst 13:816-829

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