The central objective of the Proteomics Core is to provide proteomics expertise and state-of-the-art resources for proteomics data acquisition, mining, and interpretation available through the National Center for Proteomics Research for Projects l-lll to test individual hypotheses. Each individual project will utilize the resources of the Proteomics Core in their specific aims, and the proteomic profiling studies are critical components of each individual Project. The Proteomics Core will interact with all projects to assist in sample preparation, quality control before and during proteomic experiments, and with the analysis and interpretation of data. The established infrastructure of the National Center for Proteomics Research at MCW has developed optimized tools ideally suited for the quantitative analysis of proteomes and the characterization of changes in protein phosphorylation. These tools, resources, and expertise will advance all three projects effectively and generate unique datasets highlighting the complex underlying mechanisms of anesthetic preconditioning. For this PPG, the Proteomics Core will 1) Establish and improve standard analytical procedures for mass spectrometric analysis and quantification of cellular sub-proteomes and protein phosphorylation. 2) Perform mass spectrometric analyses of mitochondrial and cytosolic samples provided by the investigators of Projects l-lll. 3) Quantify proteomic changes using isotopic labeling and tandem mass spectrometry. 4) Analyze changes in protein phosphorylation using mass spectrometric approaches. 5) Provide reliable, reproducible, uniform and timely analyses of proteomic samples for all three projects. 6) Maintain databases and automated analysis procedures for protein identification, quantification, and pathway analysis. 7) Provide expertise and equipment to assist investigators in data analysis and interpretation.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Program Projects (P01)
Project #
5P01GM066730-07
Application #
7918908
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2009-08-01
Budget End
2010-07-31
Support Year
7
Fiscal Year
2009
Total Cost
$254,149
Indirect Cost
Name
Medical College of Wisconsin
Department
Type
DUNS #
937639060
City
Milwaukee
State
WI
Country
United States
Zip Code
53226
Ghanian, Zahra; Konduri, Girija Ganesh; Audi, Said Halim et al. (2018) Quantitative optical measurement of mitochondrial superoxide dynamics in pulmonary artery endothelial cells. J Innov Opt Health Sci 11:
Liang, Mingyu (2018) Epigenetic Mechanisms and Hypertension. Hypertension 72:1244-1254
Pant, Tarun; Dhanasekaran, Anuradha; Fang, Juan et al. (2018) Current status and strategies of long noncoding RNA research for diabetic cardiomyopathy. BMC Cardiovasc Disord 18:197
Ge, Zhi-Dong; Li, Yingchuan; Qiao, Shigang et al. (2018) Failure of Isoflurane Cardiac Preconditioning in Obese Type 2 Diabetic Mice Involves Aberrant Regulation of MicroRNA-21, Endothelial Nitric-oxide Synthase, and Mitochondrial Complex I. Anesthesiology 128:117-129
Williams, Anna Marie; Liu, Yong; Regner, Kevin R et al. (2018) Artificial intelligence, physiological genomics, and precision medicine. Physiol Genomics 50:237-243
Liu, Pengyuan; Liu, Yong; Liu, Han et al. (2018) Role of DNA De Novo (De)Methylation in the Kidney in Salt-Induced Hypertension. Hypertension 72:1160-1171
Chuppa, Sandra; Liang, Mingyu; Liu, Pengyuan et al. (2018) MicroRNA-21 regulates peroxisome proliferator-activated receptor alpha, a molecular mechanism of cardiac pathology in Cardiorenal Syndrome Type 4. Kidney Int 93:375-389
Korman, Ben; Dash, Ranjan K; Peyton, Philip J (2018) Can Mathematical Modeling Explain the Measured Magnitude of the Second Gas Effect? Anesthesiology 128:1075-1083
Liu, Yong; Usa, Kristie; Wang, Feng et al. (2018) MicroRNA-214-3p in the Kidney Contributes to the Development of Hypertension. J Am Soc Nephrol 29:2518-2528
Zhang, Xiao; Dash, Ranjan K; Jacobs, Elizabeth R et al. (2018) Integrated computational model of the bioenergetics of isolated lung mitochondria. PLoS One 13:e0197921

Showing the most recent 10 out of 134 publications