The recent advances in proteomic instrumentation, methods and informatics have created exciting opportunities in all fields of diabetes research. The information on protein identification and structure provided by mass spectrometry is applicable to nearly all aspects of diabetes and its complications. Mass spectrometry-based proteomics has accelerated the identification of posttranslational modifications, including phosphorylation-site mapping, identification of protein-protein interactions, and changes in protein abundance or compartmentalization, just to name a few examples. However, the rapid rates of growth and change in proteomic technologies have also led to challenges in the translation and availability of these technologies to researchers, from new postdoctoral research fellows to established investigators who are not directly involved in this field. Although many of the fundamental principles of mass spectrometry are relatively straightforward, successful mass spectrometry-based proteomic analysis requires the combination of appropriate experimental design, access to state-of-the-art instrumentation, rigorous analysis of spectral data, and for some studies, bioinformatics tools to manage and interpret large datasets. Indeed, mass spectrometry-based proteomics is a multi-step process, and study design, from the perspectives of mass spectrometry data acquisition and interpretation, plays an important role in experimental success. The overall objective of the Proteomics Core is to provide Joslin researchers with assistance through the workflow of proteomics studies, including experimental design, sample preparation, mass spectrometric analysis, data analysis and interpretation, and bioinformatic tools. The specific objectives of Joslin's Proteomics Core are the following: 1) To assist and provide training in experimental design for proteomics studies. 2) To provide routine and custom mass spectroscopy-based proteomic analyses. 3) To assist with mass spectra analysis, interpretation, and database matching. 4) To develop a results database and incorporate access to bioinformatic tools for the analysis of proteomics data into the results database.

National Institute of Health (NIH)
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Center Core Grants (P30)
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Special Emphasis Panel (ZDK1)
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Joslin Diabetes Center
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Bartelt, Alexander; Widenmaier, Scott B; Schlein, Christian et al. (2018) Brown adipose tissue thermogenic adaptation requires Nrf1-mediated proteasomal activity. Nat Med 24:292-303
Fujisaka, Shiho; Avila-Pacheco, Julian; Soto, Marion et al. (2018) Diet, Genetics, and the Gut Microbiome Drive Dynamic Changes in Plasma Metabolites. Cell Rep 22:3072-3086
Van Name, Michelle A; Hilliard, Marisa E; Boyle, Claire T et al. (2018) Nighttime is the worst time: Parental fear of hypoglycemia in young children with type 1 diabetes. Pediatr Diabetes 19:114-120
Weisman, Alanna; Lovblom, Leif E; Keenan, Hillary A et al. (2018) Diabetes Care Disparities in Long-standing Type 1 Diabetes in Canada and the U.S.: A Cross-sectional Comparison. Diabetes Care 41:88-95
Panduro, Marisella; Benoist, Christophe; Mathis, Diane (2018) Treg cells limit IFN-? production to control macrophage accrual and phenotype during skeletal muscle regeneration. Proc Natl Acad Sci U S A 115:E2585-E2593
McGill, Dayna E; Volkening, Lisa K; Pober, David M et al. (2018) Depressive Symptoms at Critical Times in Youth With Type 1 Diabetes: Following Type 1 Diabetes Diagnosis and Insulin Pump Initiation. J Adolesc Health 62:219-225
Katz, Michelle L; Guo, Zijing; Laffel, Lori M (2018) Management of Hypertension and High Low-Density Lipoprotein in Pediatric Type 1 Diabetes. J Pediatr 197:140-146.e12
Stanford, Kristin I; Goodyear, Laurie J (2018) Muscle-Adipose Tissue Cross Talk. Cold Spring Harb Perspect Med 8:
Altindis, Emrah; Cai, Weikang; Sakaguchi, Masaji et al. (2018) Viral insulin-like peptides activate human insulin and IGF-1 receptor signaling: A paradigm shift for host-microbe interactions. Proc Natl Acad Sci U S A 115:2461-2466
Yoon, Sujung; Kim, Jungyoon; Musen, Gail et al. (2018) Prefronto-temporal white matter microstructural alterations 20?years after the diagnosis of type 1 diabetes mellitus. Pediatr Diabetes 19:478-485

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