Proteomics, as one of the evolving disciplines of the "omics" cascade (genomics, transcriptomics, proteomics and metabolomics) is projected to have a profound impact on the clinical practice of gastroenterology and hepatology in the coming decades (Lazaridis et al., 2005). Within the past five years, the advances in proteomics have been hallmarked by orders of magnitude increases in speed and sensitivity of data acquisition that is driving bioinformatics efforts for data interpretation and integration into the "omics" pipeline. The "data gathering" technologies for proteomics now have a firm, quantitative foundation (Feng et al., 2008). The integration of all "omics" data from the same high quality human samples is a fundamental step for the application of high-dimensional biology to preventing, diagnosing and treating Gl disorders, and is one of the imminent challenges. As discussed below under 'D. Bioinformatics and Data Integration'the assembly of proteomics data with other 'omics'data and clinical information is a major goal of the DDRCC Proteomics Core. Since the last competitive renewal, the Proteomics Core Laboratory has evolved to incorporate the most advanced technologies and software into novel, comprehensive workflows for DDRCC investigators, as detailed below. With the support of the CTSA, the Core has added staff scientists to provide DDRCC investigators the expertise and assistance to design and interpret statistically sound and cost-effective complex clinical proteomics experiments. The Core has pioneered new methods of sample processing and analysis such that proteomics and functional genomics data can be generated from the same samples that have been procured from tissues of patients with inflammatory bowel diseases (see Preliminary Results and Rader etal., 2008). The cost effectiveness of the Proteomics Core extends to the capital-intense requirements of proteomics analyses. The DDRCC resources are insufficient to support an independent unit. With increasing capacity demands for the analysis of clinical samples, the Proteomics Core has initiated and supervises an intramural mass spectrometry consortium that provides 24/7 advanced mass spectrometric analysis of proteins, peptides and metabolites in clinical samples (see Figure 17). The Proteomics Core serves as a central institutional core and is also supported by the National Institutes of Health, National Centerfor Research Resources (UL1-RR024992 (Kenneth Polonsky, Pl)'and P4r-RR000954 (Michael Gix)ss, PI), National Cancer Institute (P30 CA91842, Tim Eberlein, PI), the W. M. Keck Foundation, the Siteman Cancer Center, and other institutional resources. By subscribing to this central facility and supporting the salaries of the highly qualified staff required to carry out proteomics experiments, the DDRCC can offer its members services at a discounted price that covers only the price of supplies and reagents.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK052574-14
Application #
8427340
Study Section
Special Emphasis Panel (ZDK1-GRB-8)
Project Start
Project End
Budget Start
2012-12-01
Budget End
2013-11-30
Support Year
14
Fiscal Year
2013
Total Cost
$117,285
Indirect Cost
$40,122
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Maedeker, Justine A; Stoka, Kellie V; Bhayani, Siddharth A et al. (2016) Hypertension and decreased aortic compliance due to reduced elastin amounts do not increase atherosclerotic plaque accumulation in Ldlr-/- mice. Atherosclerosis 249:22-9
Rusconi, Brigida; Sanjar, Fatemeh; Koenig, Sara S K et al. (2016) Whole Genome Sequencing for Genomics-Guided Investigations of Escherichia coli O157:H7 Outbreaks. Front Microbiol 7:985
Dörner, Julia; Martinez Rodriguez, Verena; Ziegler, Ricarda et al. (2016) GLI1(+) progenitor cells in the adrenal capsule of the adult mouse give rise to heterotopic gonadal-like tissue. Mol Cell Endocrinol :
Newberry, Elizabeth P; Xie, Yan; Kennedy, Susan M et al. (2016) Prevention of hepatic fibrosis with liver microsomal triglyceride transfer protein deletion in Liver fatty acid binding protein null mice. Hepatology :
Santhanam, Srikanth; Alvarado, David M; Ciorba, Matthew A (2016) Therapeutic targeting of inflammation and tryptophan metabolism in colon and gastrointestinal cancer. Transl Res 167:67-79
Jarad, George; Knutsen, Russell H; Mecham, Robert P et al. (2016) Albumin contributes to kidney disease progression in Alport syndrome. Am J Physiol Renal Physiol 311:F120-30
Sterl, Karin; Wang, Songyan; Oestricker, Lauren et al. (2016) Metabolic responses to xenin-25 are altered in humans with Roux-en-Y gastric bypass surgery. Peptides 82:76-84
Chowdhury, Sara; Wang, Songyan; Dunai, Judit et al. (2016) Hormonal Responses to Cholinergic Input Are Different in Humans with and without Type 2 Diabetes Mellitus. PLoS One 11:e0156852
Warner, Barbara B; Tarr, Phillip I (2016) Necrotizing enterocolitis and preterm infant gut bacteria. Semin Fetal Neonatal Med 21:394-399
Gibson, Molly K; Wang, Bin; Ahmadi, Sara et al. (2016) Developmental dynamics of the preterm infant gut microbiota and antibiotic resistome. Nat Microbiol 1:16024

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