101
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Fang X, Wang W, Yang L, Chandrasekaran K, Kristian T, Balgley BM, Lee CS. Application of capillary isotachophoresis-based multidimensional separations coupled with electrospray ionization-tandem mass spectrometry for characterization of mouse brain mitochondrial proteome. Electrophoresis 2008; 29:2215-23. [PMID: 18425750 DOI: 10.1002/elps.200700609] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
By employing a capillary ITP (CITP)/CZE-based proteomic technology, a total of 1795 distinct mouse Swiss-Prot protein entries (or 1705 nonredundant proteins) are identified from synaptic mitochondria isolated from mouse brain. The ultrahigh resolving power of CITP/CZE is evidenced by the large number of distinct peptide identifications measured from each CITP fraction together with the low peptide fraction overlapping among identified peptides. The degree of peptide overlapping among CITP fractions is even lower than that achieved using combined CIEF/nano-RP LC separations for the analysis of the same mitochondrial sample. When evaluating the protein sequence coverage by the number of distinct peptides mapping to each mitochondrial protein identification, CITP/CZE similarly achieves superior performance with 1041 proteins (58%) having 3 or more distinct peptides, 233 (13%) having 2 distinct peptides, and 521 (29%) having a single distinct peptide. The reproducibility of protein identifications is found to be around 86% by comparing proteins identified from repeated runs of the same mitochondrial sample. The analysis of the mouse mitochondrial proteome by two CITP/CZE runs results in the detection of 2095 distinct mouse Swiss-Prot protein entries (or 1992 nonredundant proteins), corresponding to 59% coverage of the updated Maestro mitochondrial reference set. The collective analysis from combined CITP/CZE and CIEF-based proteomic studies yields the identification of 2191 distinct mitochondrial protein entries (or 2082 nonredundant proteins), corresponding to 76% coverage of the MitoP2-database reference set.
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Affiliation(s)
- Xueping Fang
- Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742, USA
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102
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Tabb DL, Ma ZQ, Martin DB, Ham AJL, Chambers MC. DirecTag: accurate sequence tags from peptide MS/MS through statistical scoring. J Proteome Res 2008; 7:3838-46. [PMID: 18630943 PMCID: PMC2810657 DOI: 10.1021/pr800154p] [Citation(s) in RCA: 96] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
In shotgun proteomics, tandem mass spectra of peptides are typically identified through database search algorithms such as Sequest. We have developed DirecTag, an open-source algorithm to infer partial sequence tags directly from observed fragment ions. This algorithm is unique in its implementation of three separate scoring systems to evaluate each tag on the basis of peak intensity, m/ z fidelity, and complementarity. In data sets from several types of mass spectrometers, DirecTag reproducibly exceeded the accuracy and speed of InsPecT and GutenTag, two previously published algorithms for this purpose. The source code and binaries for DirecTag are available from http://fenchurch.mc.vanderbilt.edu.
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Affiliation(s)
- David L Tabb
- Mass Spectrometry Research Center, Vanderbilt University Medical Center, Nashville, Tennessee 37232-8575, USA.
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103
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Balgley BM, Wang W, Song T, Fang X, Yang L, Lee CS. Evaluation of confidence and reproducibility in quantitative proteomics performed by a capillary isoelectric focusing-based proteomic platform coupled with a spectral counting approach. Electrophoresis 2008; 29:3047-54. [DOI: 10.1002/elps.200800050] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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104
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Tharakan R, Martens L, Van Eyk JE, Graham DR. OMSSAGUI: An open-source user interface component to configure and run the OMSSA search engine. Proteomics 2008; 8:2376-8. [PMID: 18563730 PMCID: PMC2905866 DOI: 10.1002/pmic.200701126] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2007] [Indexed: 11/07/2022]
Abstract
We here present a user-friendly and extremely lightweight tool that can serve as a stand-alone front-end for the Open MS Search Algorithm (OMSSA) search engine, or that can directly be used as part of an informatics processing pipeline for MS driven proteomics. The OMSSA graphical user interface (OMSSAGUI) tool is written in Java, and is supported on Windows, Linux, and OSX platforms. It is an open source under the Apache 2 license and can be downloaded from http://code.google.com/p/mass-spec-gui/.
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Affiliation(s)
- Ravi Tharakan
- Department of Medicine, Bayview NHLBI Proteomics Center, Johns Hopkins School of Medicine Bayview Campus, Baltimore, MD, USA
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105
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Gao BB, Chen X, Timothy N, Aiello LP, Feener EP. Characterization of the vitreous proteome in diabetes without diabetic retinopathy and diabetes with proliferative diabetic retinopathy. J Proteome Res 2008; 7:2516-25. [PMID: 18433156 DOI: 10.1021/pr800112g] [Citation(s) in RCA: 190] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
An understanding of the diabetes-induced alterations in vitreous protein composition in the absence and in the presence of proliferative diabetic retinopathy (PDR) may provide insights into factors and mechanisms responsible for this disease. We have performed a comprehensive proteomic analysis and comparison of vitreous samples from individuals with diabetes but without diabetic retinopathy (noDR) or with PDR and nondiabetic individuals (NDM). Using preparative one-dimensional SDS-PAGE and nano-LC/MS/MS of 17 independent vitreous samples, we identified 252 proteins from human vitreous. Fifty-six proteins were differentially abundant in noDR and PDR vitreous compared with NDM vitreous, including 32 proteins increased and 10 proteins decreased in PDR vitreous compared with NDM vitreous. Comparison of noDR and PDR groups revealed increased levels of angiotensinogen and decreased levels of calsyntenin-1, interphotoreceptor retinoid-binding protein, and neuroserpin in PDR vitreous. Biological pathway analysis revealed that vitreous contains 30 proteins associated with the kallikrein-kinin, coagulation, and complement systems. Five of them (complement C3, complement factor I, prothrombin, alpha-1-antitrypsin, and antithrombin III) were increased in PDR vitreous compared with NDM vitreous. Factor XII was detected in PDR vitreous but not observed in either NDM or noDR vitreous. PDR vitreous also had increased levels of peroxiredoxin-1 and decreased levels of extracellular superoxide dismutase, compared with noDR or NDM vitreous. These data provide an in depth analysis of the human vitreous proteome and reveal protein alterations that are associated with PDR.
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Affiliation(s)
- Ben-Bo Gao
- Research Division, Beetham Eye Institute, Joslin Diabetes Center, One Joslin Place, Boston, Massachusetts 02215, USA
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106
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Hoffert JD, Knepper MA. Taking aim at shotgun phosphoproteomics. Anal Biochem 2008; 375:1-10. [PMID: 18078798 PMCID: PMC2408551 DOI: 10.1016/j.ab.2007.11.023] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2007] [Revised: 11/14/2007] [Accepted: 11/17/2007] [Indexed: 01/20/2023]
Abstract
Shotgun phosphoproteomics employs liquid chromatography-coupled tandem mass spectrometry (LC-MS/MS) to analyze phosphopeptides from complex protein mixtures, allowing detection and quantification of phosphorylation events on a global scale. Within the past few years, this powerful technique has been used to uncover novel phosphorylation sites as well as explore changes in protein phosphorylation during cellular signaling in various systems. This review presents a general overview of current phosphoproteomic methodologies, including summaries of various approaches to phosphopeptide enrichment, alternative MS fragmentation strategies, and the latest software for analysis of phosphopeptide data sets.
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Affiliation(s)
- Jason D Hoffert
- Laboratory of Kidney and Electrolyte Metabolism, National Heart, Lung, and Blood Institute, Bethesda, MD 20892, USA.
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107
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Hamuro Y, Coales SJ, Molnar KS, Tuske SJ, Morrow JA. Specificity of immobilized porcine pepsin in H/D exchange compatible conditions. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2008; 22:1041-1046. [PMID: 18327892 DOI: 10.1002/rcm.3467] [Citation(s) in RCA: 123] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
Statistical analysis of data from 39 proteins (13 766 amino acid residues) digested with immobilized porcine pepsin under conditions compatible with hydrogen/deuterium (H/D) exchange (<1 degrees C, <30 s) was performed to examine pepsin cleavage specificity. The cleavage of pepsin was most influenced by the amino acid residue at position P1. Phe and Leu are favored residues each with a cleavage probability greater than 40%. His, Lys, Arg, or Pro residues prohibit cleavage when found at the P1 position. Pro also cannot be at position P2 (cleavage probability <0.3%). Occupation of the P3 position by His, Lys, or Arg, or occupation of the P2' position by Pro, also leads to very little cleavage (cleavage probability <1.7%). The average cleavage probability over the entire data set was 13.6%, which is slightly lower than the value previously obtained by Powers et al. (14.8%). This is due, in part, to the larger protein sizes used in the current study. While the specificity of pepsin was similar to that previously observed, higher selectivity was observed in the present study due to less experimental variation in the conditions used to generate our database.
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Affiliation(s)
- Yoshitomo Hamuro
- ExSAR Corporation, 11 Deer Park Drive, Suite 103, Monmouth Junction, NJ 08852, USA.
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108
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Peng L, Rawson P, McLauchlan D, Lehnert K, Snell R, Jordan TW. Proteomic analysis of microsomes from lactating bovine mammary gland. J Proteome Res 2008; 7:1427-32. [PMID: 18324766 DOI: 10.1021/pr700819b] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Mammary gland has multiple metabolic potential including for large-scale synthesis of milk proteins, carbohydrate, and lipids including nutrient triacylglycerols. We have carried out a proteomic analysis of mammary tissue to discover proteins that affect lipid metabolism. Unfractionated microsomes from lactating bovine mammary tissue were analyzed using one-dimensional SDS-PAGE with RPLC-ESI-MS/MS. This approach gave 703 proteins including 160 predicted transmembrane proteins. Proteins were classified according to their subcellular localizations and biological functions. Over 50 proteins were associated with cellular uptake, metabolism, and secretion of lipids, including some enzymes that have been previously associated with breast cancer and potential therapeutic targets. This database develops a proteomic view of the metabolic potential of mammary gland that can be expected to contribute to a greater understanding of gene expression and tissue remodeling associated with lactation, and to further dissection of normal and pathological processes in mammary tissue.
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Affiliation(s)
- Lifeng Peng
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand
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109
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Xu H, Yang L, Wang W, Shi SR, Liu C, Liu Y, Fang X, Taylor CR, Lee CS, Balgley BM. Antigen retrieval for proteomic characterization of formalin-fixed and paraffin-embedded tissues. J Proteome Res 2008; 7:1098-108. [PMID: 18257518 DOI: 10.1021/pr7006768] [Citation(s) in RCA: 60] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Formalin-fixed and paraffin-embedded tissues represent the vast majority of archived tissue. Access to such tissue specimens via shotgun-based proteomic analyses may open new avenues for both prospective and retrospective translational research. In this study, we evaluate the effects of fixation time on antigen retrieval for the purposes of shotgun proteomics. For the first time, we demonstrate the capability of a capillary isotachophoresis (CITP)-based proteomic platform for the shotgun proteomic analysis of proteins recovered from FFPE tissues. In comparison to our previous studies utilizing capillary isoelectric focusing, the CITP-based analysis is more robust and increases proteome coverage. In this case, results from three FFPE liver tissues yield a total of 4098 distinct Swiss-Prot identifications at a 1% false-discovery rate. To judge the accuracy of these assignments, immunohistochemistry is performed on a panel of 17 commonly assayed proteins. These proteins span a wide range of protein abundances as inferred from relative quantitation via spectral counting. Among the panel were 4 proteins identified by a single peptide hit, including three clusters of differentiation (CD) markers: CD74, CD117, and CD45. Because single peptide hits are often regarded with skepticism, it is notable that all proteins tested by IHC stained positive.
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Affiliation(s)
- Haifeng Xu
- Calibrant Biosystems, 910 Clopper Road, Suite 220N, Gaithersburg, Maryland 20878, USA
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110
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Buza TJ, McCarthy FM, Burgess SC. Experimental-confirmation and functional-annotation of predicted proteins in the chicken genome. BMC Genomics 2007; 8:425. [PMID: 18021451 PMCID: PMC2204016 DOI: 10.1186/1471-2164-8-425] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2007] [Accepted: 11/19/2007] [Indexed: 11/11/2022] Open
Abstract
Background The chicken genome was sequenced because of its phylogenetic position as a non-mammalian vertebrate, its use as a biomedical model especially to study embryology and development, its role as a source of human disease organisms and its importance as the major source of animal derived food protein. However, genomic sequence data is, in itself, of limited value; generally it is not equivalent to understanding biological function. The benefit of having a genome sequence is that it provides a basis for functional genomics. However, the sequence data currently available is poorly structurally and functionally annotated and many genes do not have standard nomenclature assigned. Results We analysed eight chicken tissues and improved the chicken genome structural annotation by providing experimental support for the in vivo expression of 7,809 computationally predicted proteins, including 30 chicken proteins that were only electronically predicted or hypothetical translations in human. To improve functional annotation (based on Gene Ontology), we mapped these identified proteins to their human and mouse orthologs and used this orthology to transfer Gene Ontology (GO) functional annotations to the chicken proteins. The 8,213 orthology-based GO annotations that we produced represent an 8% increase in currently available chicken GO annotations. Orthologous chicken products were also assigned standardized nomenclature based on current chicken nomenclature guidelines. Conclusion We demonstrate the utility of high-throughput expression proteomics for rapid experimental structural annotation of a newly sequenced eukaryote genome. These experimentally-supported predicted proteins were further annotated by assigning the proteins with standardized nomenclature and functional annotation. This method is widely applicable to a diverse range of species. Moreover, information from one genome can be used to improve the annotation of other genomes and inform gene prediction algorithms.
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Affiliation(s)
- Teresia J Buza
- Department of Basic Sciences, College of Veterinary Medicine, Mississippi State University, Mississippi State, MS 39762, USA.
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