The development of innovative measurement tools can provide new information on brain function, often allowing a range of novel questions to be addressed. Proteomics is one such exciting new tool. NIDA called for the establishment of neuroproteomics centers with several major objectives, including: (1) to provide neurobiologists with the ability to benefit from proteomics experiments, (2) to build a cadre of proteomics experts who will develop expertise in analyzing neural tissues, and (3) to develop new or improve existing proteomics technologies as they relate to neurobiology or tissues of the nervous system. The UIUC Neuroproteomics Center on Cell-Cell Signaling addresses these three key areas. The Center specifically provides peptidomics, proteomics and bioinformatics technologies to the UIUC and national neuroscience communities while simultaneously advancing the performance of state-of-the-art proteomics technologies to new levels of performance. The Center is built around the overarching theme of cell-cell signaling. Extracellular signaling peptides and proteins-neuropeptides, trophic factors, cytokines, and hormones-represent a critical part of the cell proteome that has been implicated in almost all aspects of organism function;they influence behavior, learning and memory, and addiction phenomena. The Center is divided into three scientific cores: the Sampling and Separation Core, the Protein Identification Core, and the Bioinformatics Core, plus the Administrative and Users Cores. There are twelve major users representing 28 individual grants, with their Center research projects concentrating on three overarching scientific thrusts: (1) signaling peptide discovery, (2) relating peptide signaling to function, and (3) non-traditional aspects of cell-cell communication, including glia to neuron signaling and dendritic/axonal RNA transport. The high level of synergy between the neuroscientists and technologists ensures progress in this broad suite of projects, and offers tremendous promise for advancing our knowledge of how systems of neurons interact in both the healthy nervous system and on exposure to drugs of abuse.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Center Core Grants (P30)
Project #
5P30DA018310-07
Application #
7805491
Study Section
Special Emphasis Panel (ZDA1-RXL-E (02))
Program Officer
Pollock, Jonathan D
Project Start
2004-08-23
Project End
2014-05-31
Budget Start
2010-06-01
Budget End
2011-05-31
Support Year
7
Fiscal Year
2010
Total Cost
$959,971
Indirect Cost
Name
University of Illinois Urbana-Champaign
Department
Type
Organized Research Units
DUNS #
041544081
City
Champaign
State
IL
Country
United States
Zip Code
61820
Yan, Zheng; Han, Mengdi; Shi, Yan et al. (2017) Three-dimensional mesostructures as high-temperature growth templates, electronic cellular scaffolds, and self-propelled microrobots. Proc Natl Acad Sci U S A 114:E9455-E9464
Comi, Troy J; Do, Thanh D; Rubakhin, Stanislav S et al. (2017) Categorizing Cells on the Basis of their Chemical Profiles: Progress in Single-Cell Mass Spectrometry. J Am Chem Soc 139:3920-3929
Mandacaru, Samuel C; do Vale, Luis H F; Vahidi, Siavash et al. (2017) Characterizing the Structure and Oligomerization of Major Royal Jelly Protein 1 (MRJP1) by Mass Spectrometry and Complementary Biophysical Tools. Biochemistry 56:1645-1655
Zhang, Guo; Vilim, Ferdinand S; Liu, Dan-Dan et al. (2017) Discovery of leucokinin-like neuropeptides that modulate a specific parameter of feeding motor programs in the molluscan model, Aplysia. J Biol Chem :
Badea, Adina; McCracken, Joselle M; Tillmaand, Emily G et al. (2017) 3D-Printed pHEMA Materials for Topographical and Biochemical Modulation of Dorsal Root Ganglion Cell Response. ACS Appl Mater Interfaces 9:30318-30328
Comi, Troy J; Neumann, Elizabeth K; Do, Thanh D et al. (2017) microMS: A Python Platform for Image-Guided Mass Spectrometry Profiling. J Am Soc Mass Spectrom 28:1919-1928
Do, Thanh D; Comi, Troy J; Dunham, Sage J B et al. (2017) Single Cell Profiling Using Ionic Liquid Matrix-Enhanced Secondary Ion Mass Spectrometry for Neuronal Cell Type Differentiation. Anal Chem 89:3078-3086
Wu, Qian; Chu, James L; Rubakhin, Stanislav S et al. (2017) Dopamine-modified TiO2 monolith-assisted LDI MS imaging for simultaneous localization of small metabolites and lipids in mouse brain tissue with enhanced detection selectivity and sensitivity. Chem Sci 8:3926-3938
Kang, Somi; Badea, Adina; Rubakhin, Stanislav S et al. (2017) Quantitative Reflection Imaging for the Morphology and Dynamics of Live Aplysia californica Pedal Ganglion Neurons Cultured on Nanostructured Plasmonic Crystals. Langmuir 33:8640-8650
Ong, Ta-Hsuan; Romanova, Elena V; Roberts-Galbraith, Rachel H et al. (2016) Mass Spectrometry Imaging and Identification of Peptides Associated with Cephalic Ganglia Regeneration in Schmidtea mediterranea. J Biol Chem 291:8109-20

Showing the most recent 10 out of 201 publications