51
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Luo W, Slebos RJ, Hill S, Li M, Brábek J, Amanchy R, Chaerkady R, Pandey A, Ham AJL, Hanks SK. Global impact of oncogenic Src on a phosphotyrosine proteome. J Proteome Res 2008; 7:3447-60. [PMID: 18563927 DOI: 10.1021/pr800187n] [Citation(s) in RCA: 83] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Elevated activity of Src, the first characterized protein-tyrosine kinase, is associated with progression of many human cancers, and Src has attracted interest as a therapeutic target. Src is known to act in various receptor signaling systems to impact cell behavior, yet it remains likely that the spectrum of Src protein substrates relevant to cancer is incompletely understood. To better understand the cellular impact of deregulated Src kinase activity, we extensively applied a mass spectrometry shotgun phosphotyrosine (pTyr) proteomics strategy to obtain global pTyr profiles of Src-transformed mouse fibroblasts as well as their nontransformed counterparts. A total of 867 peptides representing 563 distinct pTyr sites on 374 different proteins were identified from the Src-transformed cells, while 514 peptides representing 275 pTyr sites on 167 proteins were identified from nontransformed cells. Distinct characteristics of the two profiles were revealed by spectral counting, indicative of pTyr site relative abundance, and by complementary quantitative analysis using stable isotope labeling with amino acids in cell culture (SILAC). While both pTyr profiles are replete with sites on signaling and adhesion/cytoskeletal regulatory proteins, the Src-transformed profile is more diverse with enrichment in sites on metabolic enzymes and RNA and protein synthesis and processing machinery. Forty-three pTyr sites (32 proteins) are predicted as major biologically relevant Src targets on the basis of frequent identification in both cell populations. This select group, of particular interest as diagnostic biomarkers, includes well-established Src sites on signaling/adhesion/cytoskeletal proteins, but also uncharacterized sites of potential relevance to the transformed cell phenotype.
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Affiliation(s)
- Weifeng Luo
- Department of Cell and Developmental Biology, Cancer Biology, Biostatistics, and Biochemistry, and The Proteomics Laboratory of the Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
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Wang B, Matsuoka S, Ballif B, Zhang D, Smogorzewska A, Giyi S, Elledge SJ. Abraxas and RAP80 form a BRCA1 protein complex required for the DNA damage response. Science 2007; 316:1194-8. [PMID: 17525340 PMCID: PMC3573690 DOI: 10.1126/science.1139476] [Citation(s) in RCA: 559] [Impact Index Per Article: 31.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The BRCT repeats of the breast and ovarian cancer predisposition protein BRCA1 are essential for tumor suppression. Phosphopeptide affinity proteomic analysis identified a protein, Abraxas, that directly binds the BRCA1 BRCT repeats through a phospho-Ser-X-X-Phe motif. Abraxas binds BRCA1 to the mutual exclusion of BACH1 (BRCA1-associated C-terminal helicase) and CtIP (CtBP-interacting protein), forming a third type of BRCA1 complex. Abraxas recruits the ubiquitin-interacting motif (UIM)-containing protein RAP80 to BRCA1. Both Abraxas and RAP80 were required for DNA damage resistance, G(2)-M checkpoint control, and DNA repair. RAP80 was required for optimal accumulation of BRCA1 on damaged DNA (foci) in response to ionizing radiation, and the UIM domains alone were capable of foci formation. The RAP80-Abraxas complex may help recruit BRCA1 to DNA damage sites in part through recognition of ubiquitinated proteins.
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Affiliation(s)
- Bin Wang
- Department of Genetics, Howard Hughes Medical Institute, Center for Genetics and Genomics, Brigham and Women's Hospital, Harvard University Medical School, Boston, MA 02115
| | - Shuhei Matsuoka
- Department of Genetics, Howard Hughes Medical Institute, Center for Genetics and Genomics, Brigham and Women's Hospital, Harvard University Medical School, Boston, MA 02115
| | - Bryan Ballif
- Department of Cell Biology, Harvard Medical School, 240 Longwood Ave., Boston, Massachusetts 02115, USA
| | - Dong Zhang
- Department of Genetics, Howard Hughes Medical Institute, Center for Genetics and Genomics, Brigham and Women's Hospital, Harvard University Medical School, Boston, MA 02115
| | - Agata Smogorzewska
- Department of Genetics, Howard Hughes Medical Institute, Center for Genetics and Genomics, Brigham and Women's Hospital, Harvard University Medical School, Boston, MA 02115
- Department of Pathology, Massachusetts General Hospital, Boston, MA 02214
| | - Steven Giyi
- Department of Cell Biology, Harvard Medical School, 240 Longwood Ave., Boston, Massachusetts 02115, USA
| | - Stephen J. Elledge
- Department of Genetics, Howard Hughes Medical Institute, Center for Genetics and Genomics, Brigham and Women's Hospital, Harvard University Medical School, Boston, MA 02115
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53
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Sevinsky JR, Brown KJ, Cargile BJ, Bundy JL, Stephenson JL. Minimizing back exchange in 18O/16O quantitative proteomics experiments by incorporation of immobilized trypsin into the initial digestion step. Anal Chem 2007; 79:2158-62. [PMID: 17249691 PMCID: PMC2796076 DOI: 10.1021/ac0620819] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Differential labeling of peptides via the use of the 18O-water proteolytic labeling method has been widely adopted for quantitative shotgun proteomics studies due to its simplicity and low reagent costs. In this report, the use of immobilized trypsin in the initial digestion step, in addition to the initial digestion step, is explored as a means to minimize postlabeling back exchange of 18O-labeled peptides into the 16O form when multidimensional peptide separation methods (here, isoelectric focusing of peptides) are incorporated into the sample workflow. Examples are shown with a mixture of standard proteins and a sample from an ongoing clinical proteomics study.
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Affiliation(s)
- Joel R. Sevinsky
- Mass Spectrometry Research Program, Research Triangle Institute, 3040 Cornwallis Rd, Research Triangle Park NC 27709
| | - Kristy J. Brown
- CTL Bio Services LLC, 352 Academic and Research Building, 9601 Medical Center Dr. Rockville, MD 20850
| | - Benjamin J. Cargile
- Mass Spectrometry Research Program, Research Triangle Institute, 3040 Cornwallis Rd, Research Triangle Park NC 27709
| | - Jonathan L. Bundy
- Mass Spectrometry Research Program, Research Triangle Institute, 3040 Cornwallis Rd, Research Triangle Park NC 27709
| | - James L. Stephenson
- Mass Spectrometry Research Program, Research Triangle Institute, 3040 Cornwallis Rd, Research Triangle Park NC 27709
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Sriyam S, Sinchaikul S, Tantipaiboonwong P, Tzao C, Phutrakul S, Chen ST. Enhanced detectability in proteome studies. J Chromatogr B Analyt Technol Biomed Life Sci 2006; 849:91-104. [PMID: 17140866 DOI: 10.1016/j.jchromb.2006.10.065] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2006] [Revised: 10/11/2006] [Accepted: 10/27/2006] [Indexed: 11/30/2022]
Abstract
The discovery of candidate biomarkers from biological materials coupled with the development of detection methods holds both incredible clinical potential as well as significant challenges. However, the proteomic techniques still provide the low dynamic range of protein detection at lower abundances. This review describes the current development of potential methods to enhance the detection and quantification in proteome studies. It also includes the bioinformatics tools that are helpfully used for data mining of protein ontology. Therefore, we believe that this review provided many proteomic approaches, which would be very potent and useful for proteome studies and for further diagnostic and therapeutic applications.
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Affiliation(s)
- Supawadee Sriyam
- Institute of Biological Chemistry and Genomics Research Center, Academia Sinica, Taipei 11529, Taiwan
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55
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Bose R, Molina H, Patterson AS, Bitok JK, Periaswamy B, Bader JS, Pandey A, Cole PA. Phosphoproteomic analysis of Her2/neu signaling and inhibition. Proc Natl Acad Sci U S A 2006; 103:9773-8. [PMID: 16785428 PMCID: PMC1502529 DOI: 10.1073/pnas.0603948103] [Citation(s) in RCA: 170] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Her2/neu (Her2) is a tyrosine kinase belonging to the EGF receptor (EGFR)/ErbB family and is overexpressed in 20-30% of human breast cancers. We sought to characterize Her2 signal transduction pathways further by using MS-based quantitative proteomics. Stably transfected cell lines overexpressing Her2 or empty vector were generated, and the effect of an EGFR and Her2 selective tyrosine kinase inhibitor, PD168393, on these cells was characterized. Quantitative measurements were obtained on 462 proteins by using the SILAC (stable isotope labeling with amino acids in cell culture) method to monitor three conditions simultaneously. Of these proteins, 198 showed a significant increase in tyrosine phosphorylation in Her2-overexpressing cells, and 81 showed a significant decrease in phosphorylation. Treatment of Her2-overexpressing cells with PD168393 showed rapid reversibility of the majority of the Her2-triggered phosphorylation events. Phosphoproteins that were identified included many known Her2 signaling molecules as well as known EGFR signaling proteins that had not been previously linked to Her2, such as Stat1, Dok1, and delta-catenin. Importantly, several previously uncharacterized Her2 signaling proteins were identified, including Axl tyrosine kinase, the adaptor protein Fyb, and the calcium-binding protein Pdcd-6/Alg-2. We also identified a phosphorylation site in Her2, Y877, which is located in the activation loop of the kinase domain, is distinct from the known C-terminal tail autophosphorylation sites, and may have important implications for regulation of Her2 signaling. Network modeling, which combined phosphoproteomic results with literature-curated protein-protein interaction data, was used to suggest roles for some of the previously unidentified Her2 signaling proteins.
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Affiliation(s)
- Ron Bose
- Departments of *Pharmacology
- Oncology, and
| | | | | | | | - Balamurugan Periaswamy
- McKusick–Nathans Institute for Genetic Medicine
- Institute of Bioinformatics, International Tech Park, Bangalore 560066, India
| | - Joel S. Bader
- **Biomedical Engineering
- High-Throughput Biology Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205; and
| | - Akhilesh Pandey
- Oncology, and
- McKusick–Nathans Institute for Genetic Medicine
- To whom correspondence may be addressed. E-mail:
or
| | - Philip A. Cole
- Departments of *Pharmacology
- Oncology, and
- To whom correspondence may be addressed. E-mail:
or
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Suresh S, Sujatha Mohan S, Mishra G, Hanumanthu GR, Suresh M, Reddy R, Pandey A. Proteomic resources: integrating biomedical information in humans. Gene 2005; 364:13-8. [PMID: 16202541 DOI: 10.1016/j.gene.2005.07.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2005] [Revised: 05/20/2005] [Accepted: 07/18/2005] [Indexed: 11/27/2022]
Abstract
Recent improvements in high-throughput proteomic technologies have unleashed the potential for generating vast amounts of data. Managing and sharing proteomic data is not an easy task. In this article, we will discuss some of the high-throughput proteomic techniques that are commonly used today. We will also review the major issues in sharing and dissemination of proteomic data and the recent community initiatives to standardize data formats and ontologies. An overview of the web-based resources and databases for analysis of proteomic data is also provided. Integration of disparate proteomic data sources with genomic and transcriptomic data should make systems biology type of approaches feasible in the near future.
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Affiliation(s)
- Shubha Suresh
- Institute of Bioinformatics, International Tech Park Ltd., Bangalore 560 066, India
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Abstract
This article presents a brief review of phosphoproteomics with an emphasis on the biological insights into signaling networks that have been derived so far. Developments in the field of phosphoproteomics have been fueled by the need simultaneously to monitor many different phosphoproteins within the signaling networks that coordinate responses to changes in the cellular environment. This article presents a brief review of phosphoproteomics with an emphasis on the biological insights that have been derived so far.
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Affiliation(s)
- Marc Mumby
- Department of Pharmacology and the Alliance for Cellular Signaling, University of Texas Southwestern Medical Center, Dallas, TX 75390-9041, USA.
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