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1.
Bioinformatics ; 27(22): 3214-5, 2011 Nov 15.
Article in English | MEDLINE | ID: mdl-21965817

ABSTRACT

SUMMARY: The large amount of data produced by proteomics experiments requires effective bioinformatics tools for the integration of data management and data analysis. Here we introduce a suite of tools developed at Vanderbilt University to support production proteomics. We present the Backup Utility Service tool for automated instrument file backup and the ScanSifter tool for data conversion. We also describe a queuing system to coordinate identification pipelines and the File Collector tool for batch copying analytical results. These tools are individually useful but collectively reinforce each other. They are particularly valuable for proteomics core facilities or research institutions that need to manage multiple mass spectrometers. With minor changes, they could support other types of biomolecular resource facilities.


Subject(s)
Proteomics/methods , Software , Mass Spectrometry , Proteome/chemistry
2.
Chem Res Toxicol ; 19(1): 20-9, 2006 Jan.
Article in English | MEDLINE | ID: mdl-16411652

ABSTRACT

Reactive electrophiles formed from toxic drugs and chemicals and by endogenous oxidative stress covalently modify proteins. Although protein covalent binding is thought to initiate a variety of adaptive and toxic responses, the identities of the protein targets are generally unknown, as are protein structural features that confer susceptibility to modification. We have analyzed the protein targets in nuclear and cytoplasmic proteomes from HEK293 cells treated in vitro with two biotin-tagged, thiol-reactive electrophiles, (+)-biotinyl-iodoacetamidyl-3, 6-dioxaoctanediamine (PEO-IAB) and 1-biotinamido-4-(4'-[maleimidoethylcyclohexane]-carboxamido)butane (BMCC). Biotinylated peptides were captured by affinity enrichment using neutravidin beads, and the adducted peptides were then analyzed by multidimensional liquid chromatography-tandem mass spectrometry. A total of 897 adducts were mapped to different cysteine residues in 539 proteins. Adduction was selective and reproducible, and > 90% of all adducted proteins were modified at only one or two sites. A core group of 125 cysteines (14% of the total) was consistently modified by both electrophiles. Selective modification of several protein domain structures and motifs indicates that certain protein families are particularly susceptible to alkylation. This approach can be extended to studies of other protein-damaging oxidants and electrophiles and can provide new insights into targets and consequences of protein damage in toxicity and disease.


Subject(s)
Biotin/analogs & derivatives , Nuclear Proteins/metabolism , Proteins/metabolism , Sulfhydryl Compounds/metabolism , Alkylation , Amino Acid Sequence , Biotin/chemistry , Biotin/metabolism , Cell Line , Cell-Free System , Cysteine/metabolism , Cytosol/chemistry , Cytosol/metabolism , Humans , Nuclear Proteins/analysis , Nuclear Proteins/chemistry , Peptide Fragments/analysis , Peptide Fragments/chemistry , Peptide Mapping , Protein Binding , Protein Conformation , Proteins/analysis , Proteins/chemistry , Proteomics/methods , Sulfhydryl Compounds/analysis
3.
J Proteome Res ; 4(5): 1672-80, 2005.
Article in English | MEDLINE | ID: mdl-16212420

ABSTRACT

The use of matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) to acquire spectral profiles has become a common approach to detect proteomic biomarkers of disease. MALDI-MS signals may represent both intact proteins as well as proteolysis products. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis can tentatively identify the corresponding proteins Here, we describe the application of a data analysis utility called FragMint, which combines MALDI-MS spectral data with LC-MS/MS based protein identifications to generate candidate protein fragments consistent with both types of data. This approach was used to identify protein fragments corresponding to spectral signals in MALDI-MS analyses of unfractionated human serum. The serum also was analyzed by one-dimensional SDS-PAGE and bands corresponding to the MALDI-MS signal masses were excised and subjected to in-gel digestion and LC-MS/MS analysis. Database searches mapped all of the identified peptides to abundant blood proteins larger than the observed MALDI-MS signals. FragMint identified fragments of these proteins that contained the MS/MS identified sequences and were consistent with the observed MALDI-MS signals. This approach should be generally applicable to identify protein species corresponding to MALDI-MS signals.


Subject(s)
Blood Proteins/chemistry , Proteins/chemistry , Proteome , Proteomics/methods , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods , Algorithms , Amino Acid Sequence , Chromatography, Liquid , Colloids/pharmacology , Electrophoresis, Polyacrylamide Gel , Humans , Molecular Sequence Data , Peptide Mapping , Peptides/chemistry
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