The Proteomics, Bioanalysis and Bioinformatics Core is located in downtown Buffalo within the New York State Center of Excellence in Bioinformatics &Life Sciences (CEBLS) (www.bioinformatics.buffalo.edu/). which is a free-standing facility integral to the University at Buffalo/SUNY and the Buffalo-Niagara Medical Center. Key functional capabilities of this Module are: a) small molecule analysis (drugs, metabolites and endogenous compounds);b) proteomic analysis of tissues from both normal and pathological specimens;and c) bioinformatics applications for creation, management and correlative analysis of large data sets, such as those derived from proteomics analyses, as well as other in silico applications. The kinds of instrumentation and range of capabilities included in this Core facility are state-of-the-art (the State of New York and other entities have invested more than $15 million into the facility and its instrumentation so far), and are not readily available at the other SUNY campuses. Accessibility to this Core will be afforded to support the ongoing and newly emerging research programs covered in this proposal, which requires the kinds of methodologies and analytical capabilities offered by this core. This core will also facilitate ongoing and new collaborations between investigators who are developing novel therapeutic efforts for Retinopathy of Prematurity.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54HD071594-04
Application #
8683210
Study Section
Special Emphasis Panel (ZHD1)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
4
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Suny Downstate Medical Center
Department
Type
DUNS #
City
Brooklyn
State
NY
Country
United States
Zip Code
Tu, Chengjian; Li, Jun; Shen, Shichen et al. (2016) Performance Investigation of Proteomic Identification by HCD/CID Fragmentations in Combination with High/Low-Resolution Detectors on a Tribrid, High-Field Orbitrap Instrument. PLoS One 11:e0160160
Beharry, Kay D; Valencia, Gloria B; Lazzaro, Douglas R et al. (2016) Pharmacologic interventions for the prevention and treatment of retinopathy of prematurity. Semin Perinatol 40:189-202
Inayat, Musaddaq; Bany-Mohammed, Fayez; Valencia, Arwin et al. (2015) Antioxidants and Biomarkers of Oxidative Stress in Preterm Infants with Symptomatic Patent Ductus Arteriosus. Am J Perinatol 32:895-904
An, Bo; Zhang, Ming; Johnson, Robert W et al. (2015) Surfactant-aided precipitation/on-pellet-digestion (SOD) procedure provides robust and rapid sample preparation for reproducible, accurate and sensitive LC/MS quantification of therapeutic protein in plasma and tissues. Anal Chem 87:4023-9
Shen, Xiaomeng; Nair, Bindukumar; Mahajan, Supriya D et al. (2015) New Insights into the Disease Progression Control Mechanisms by Comparing Long-Term-Nonprogressors versus Normal-Progressors among HIV-1-Positive Patients Using an Ion Current-Based MS1 Proteomic Profiling. J Proteome Res 14:5225-39
Jivabhai Patel, Shamin; Bany-Mohammed, Fayez; McNally, Lois et al. (2015) Exogenous Superoxide Dismutase Mimetic Without Scavenging H2O2 Causes Photoreceptor Damage in a Rat Model for Oxygen-Induced Retinopathy. Invest Ophthalmol Vis Sci 56:1665-77
Tu, Chengjian; Beharry, Kay D; Shen, Xiaomeng et al. (2015) Proteomic profiling of the retinas in a neonatal rat model of oxygen-induced retinopathy with a reproducible ion-current-based MS1 approach. J Proteome Res 14:2109-20
Tu, Chengjian; Sheng, Quanhu; Li, Jun et al. (2015) Optimization of Search Engines and Postprocessing Approaches to Maximize Peptide and Protein Identification for High-Resolution Mass Data. J Proteome Res 14:4662-73
Kamisoglu, Kubra; Sukumaran, Siddharth; Nouri-Nigjeh, Eslam et al. (2015) Tandem analysis of transcriptome and proteome changes after a single dose of corticosteroid: a systems approach to liver function in pharmacogenomics. OMICS 19:80-91
Lott, Kaylen; Mukhopadhyay, Shreya; Li, Jun et al. (2015) Arginine methylation of DRBD18 differentially impacts its opposing effects on the trypanosome transcriptome. Nucleic Acids Res 43:5501-23

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