The overall goal of the Protein Identification Core of the UIUC Neuroproteomics Center on Cell-Cell Signaling is to characterize the protein and peptide complements of a range of samples, with a special emphasis on those involved in intercellular signaling. The intracellular signaling molecules expressed in the cells and tissues under investigation present an extremely complex analytical challenge with a vast number of components, varying dramatically in size and concentration. To address these challenges, and to provide our users with a battery of state-of-the-art protein identification techniques, a range of mass spectrometric approaches are used, including differential gel electrophoresis, mass fingerprinting, tandem sequencing, accurate mass measurements, and top-down intact protein analysis. In addition, spatial localization of intercellular signaling molecules is performed using a variety of mass spectrometric imaging techniques. Our user's needs for intercellular signaling molecule identification and quantitation in the brain are quite different from what is required from proteomics measurements of unicellular organisms and homogenous tissues, particularly with regard to sample size and complexity. Thus, the advanced measurement strategies used in our Center reflect this complexity. With the combined expertise and facilities in the research groups associated with this core, a unique opportunity exists to identify and characterize intercellular signaling peptides and proteins across a surprising range of models and scales.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Center Core Grants (P30)
Project #
5P30DA018310-10
Application #
8471681
Study Section
Special Emphasis Panel (ZDA1-RXL-E)
Project Start
Project End
Budget Start
2013-06-01
Budget End
2014-05-31
Support Year
10
Fiscal Year
2013
Total Cost
$274,112
Indirect Cost
$101,293
Name
University of Illinois Urbana-Champaign
Department
Type
DUNS #
041544081
City
Champaign
State
IL
Country
United States
Zip Code
61820
Skinner, Owen S; Catherman, Adam D; Early, Bryan P et al. (2014) Fragmentation of integral membrane proteins in the gas phase. Anal Chem 86:4627-34
Southey, Bruce R; Lee, Ji Eun; Zamdborg, Leonid et al. (2014) Comparing label-free quantitative peptidomics approaches to characterize diurnal variation of peptides in the rat suprachiasmatic nucleus. Anal Chem 86:443-52
Liu, Jing-Xin; Aerts, Jordan T; Rubakhin, Stanislav S et al. (2014) Analysis of endogenous nucleotides by single cell capillary electrophoresis-mass spectrometry. Analyst 139:5835-42
LeDuc, Richard D; Fellers, Ryan T; Early, Bryan P et al. (2014) The C-score: a Bayesian framework to sharply improve proteoform scoring in high-throughput top down proteomics. J Proteome Res 13:3231-40
Akhtar, Malik N; Southey, Bruce R; Andrén, Per E et al. (2014) Identification of best indicators of peptide-spectrum match using a permutation resampling approach. J Bioinform Comput Biol 12:1440001
Moroz, Leonid L; Kocot, Kevin M; Citarella, Mathew R et al. (2014) The ctenophore genome and the evolutionary origins of neural systems. Nature 510:109-14
Akhtar, Malik N; Southey, Bruce R; Andrén, Per E et al. (2014) Accurate assignment of significance to neuropeptide identifications using Monte Carlo k-permuted decoy databases. PLoS One 9:e111112
Cannon, Joe R; Cammarata, Michael B; Robotham, Scott A et al. (2014) Ultraviolet photodissociation for characterization of whole proteins on a chromatographic time scale. Anal Chem 86:2185-92
Ota, Nobutoshi; Rubakhin, Stanislav S; Sweedler, Jonathan V (2014) D-Alanine in the islets of Langerhans of rat pancreas. Biochem Biophys Res Commun 447:328-33
Li, Yihan; Compton, Philip D; Tran, John C et al. (2014) Optimizing capillary electrophoresis for top-down proteomics of 30-80 kDa proteins. Proteomics 14:1158-64

Showing the most recent 10 out of 132 publications