The proposed Bioinformatics Core will work closely with the biological users by providing a customized laboratory sample tracking system, an efficient and quick data pipeline, a tailored project management system, and a web portal to facilitate sharing of experimental results. In addition, the worldwide scientific community will be able to search and download from the completed database through this web portal. A top priority and a major benefit to the users will be custom written analysis software to address the specific needs of the investigators. One project is the development of an intercellular protein / peptide predictor that predicts prohormone cleavage; this facilitates the accurate prediction of the final enzymatic products. This predictor will provide a valuable link between genetic information coding for the long protein prohormones and the products one observes. NeuroProSightPTM will be developed, which is a bioinformatics tool that identifies PTMs in intact proteins through a """"""""top-down"""""""" analysis of absolute masses. The top-down approach will enable investigators to use absolute masses of intact proteins to identify neuropeptides, cytokines, hormones, and other intercellular signaling. In addition, bioinformatics tools will be written to comprehensively compare data from both microarrays and proteomics experimentation using a range of animal models to gain a better understanding of relationships between the transcriptome and proteome. Together these exciting bioinformatics advances will create new tools to provide new approaches to study intercellular signaling proteins of the brain - essentially theorizing and experimenting """"""""out of the box"""""""".

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Center Core Grants (P30)
Project #
5P30DA018310-04
Application #
7440342
Study Section
Special Emphasis Panel (ZDA1)
Project Start
Project End
Budget Start
2007-06-01
Budget End
2008-05-31
Support Year
4
Fiscal Year
2007
Total Cost
$455,826
Indirect Cost
Name
University of Illinois Urbana-Champaign
Department
Type
DUNS #
041544081
City
Champaign
State
IL
Country
United States
Zip Code
61820
Shen, Mei; Qu, Zizheng; DesLaurier, Justin et al. (2018) Single Synaptic Observation of Cholinergic Neurotransmission on Living Neurons: Concentration and Dynamics. J Am Chem Soc 140:7764-7768
Sorokina, Anastasia M; Saul, Michael; Goncalves, Tassia M et al. (2018) Striatal transcriptome of a mouse model of ADHD reveals a pattern of synaptic remodeling. PLoS One 13:e0201553
Anapindi, Krishna D B; Romanova, Elena V; Southey, Bruce R et al. (2018) Peptide identifications and false discovery rates using different mass spectrometry platforms. Talanta 182:456-463
Southey, Bruce R; Romanova, Elena V; Rodriguez-Zas, Sandra L et al. (2018) Bioinformatics for Prohormone and Neuropeptide Discovery. Methods Mol Biol 1719:71-96
Neumann, Elizabeth K; Do, Thanh D; Comi, Troy J et al. (2018) Exploring the Fundamental Structures of Life: Non-targeted, Chemical Analysis of Single Cells and Subcellular Structures. Angew Chem Int Ed Engl :
Welle, Theresa M; Alanis, Kristen; Colombo, Michelle L et al. (2018) A high spatiotemporal study of somatic exocytosis with scanning electrochemical microscopy and nanoITIES electrodes. Chem Sci 9:4937-4941
Zheng, Jianbin; Chen, Long; Skinner, Owen S et al. (2018) ?-Glucocerebrosidase Modulators Promote Dimerization of ?-Glucocerebrosidase and Reveal an Allosteric Binding Site. J Am Chem Soc 140:5914-5924
Zhang, Guo; Yuan, Wang-Ding; Vilim, Ferdinand S et al. (2018) Newly Identified Aplysia SPTR-Gene Family-Derived Peptides: Localization and Function. ACS Chem Neurosci 9:2041-2053
Checco, James W; Zhang, Guo; Yuan, Wang-Ding et al. (2018) Aplysia allatotropin-related peptide and its newly identified d-amino acid-containing epimer both activate a receptor and a neuronal target. J Biol Chem 293:16862-16873
Monroe, Eric B; Annangudi, Suresh P; Wadhams, Andinet A et al. (2018) Exploring the Sea Urchin Neuropeptide Landscape by Mass Spectrometry. J Am Soc Mass Spectrom 29:923-934

Showing the most recent 10 out of 227 publications