Literature DB >> 24520089

A targeted quantitative proteomics strategy for global kinome profiling of cancer cells and tissues.

Yongsheng Xiao1, Lei Guo, Yinsheng Wang.   

Abstract

Kinases are among the most intensively pursued enzyme superfamilies as targets for anti-cancer drugs. Large data sets on inhibitor potency and selectivity for more than 400 human kinases became available recently, offering the opportunity to design rationally novel kinase-based anti-cancer therapies. However, the expression levels and activities of kinases are highly heterogeneous among different types of cancer and even among different stages of the same cancer. The lack of effective strategy for profiling the global kinome hampers the development of kinase-targeted cancer chemotherapy. Here, we introduced a novel global kinome profiling method, based on our recently developed isotope-coded ATP-affinity probe and a targeted proteomic method using multiple-reaction monitoring (MRM), for assessing simultaneously the expression of more than 300 kinases in human cells and tissues. This MRM-based assay displayed much better sensitivity, reproducibility, and accuracy than the discovery-based shotgun proteomic method. Approximately 250 kinases could be routinely detected in the lysate of a single cell line. Additionally, the incorporation of iRT into MRM kinome library rendered our MRM kinome assay easily transferrable across different instrument platforms and laboratories. We further employed this approach for profiling kinase expression in two melanoma cell lines, which revealed substantial kinome reprogramming during cancer progression and demonstrated an excellent correlation between the anti-proliferative effects of kinase inhibitors and the expression levels of their target kinases. Therefore, this facile and accurate kinome profiling assay, together with the kinome-inhibitor interaction map, could provide invaluable knowledge to predict the effectiveness of kinase inhibitor drugs and offer the opportunity for individualized cancer chemotherapy.

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Year:  2014        PMID: 24520089      PMCID: PMC3977184          DOI: 10.1074/mcp.M113.036905

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  33 in total

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Journal:  FEBS Lett       Date:  1992-11-30       Impact factor: 4.124

Review 2.  Functional and quantitative proteomics using SILAC.

Authors:  Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2006-12       Impact factor: 94.444

3.  Functional interrogation of the kinome using nucleotide acyl phosphates.

Authors:  Matthew P Patricelli; A Katrin Szardenings; Marek Liyanage; Tyzoon K Nomanbhoy; Min Wu; Helge Weissig; Arwin Aban; Doris Chun; Stephen Tanner; John W Kozarich
Journal:  Biochemistry       Date:  2007-01-16       Impact factor: 3.162

Review 4.  Genomic strategies for personalized cancer therapy.

Authors:  Katherine S Garman; Joseph R Nevins; Anil Potti
Journal:  Hum Mol Genet       Date:  2007-10-15       Impact factor: 6.150

5.  Quantitative, multiplexed assays for low abundance proteins in plasma by targeted mass spectrometry and stable isotope dilution.

Authors:  Hasmik Keshishian; Terri Addona; Michael Burgess; Eric Kuhn; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2007-10-15       Impact factor: 5.911

6.  Kinase-selective enrichment enables quantitative phosphoproteomics of the kinome across the cell cycle.

Authors:  Henrik Daub; Jesper V Olsen; Michaela Bairlein; Florian Gnad; Felix S Oppermann; Roman Körner; Zoltán Greff; György Kéri; Olaf Stemmann; Matthias Mann
Journal:  Mol Cell       Date:  2008-08-08       Impact factor: 17.970

7.  A small molecule-kinase interaction map for clinical kinase inhibitors.

Authors:  Miles A Fabian; William H Biggs; Daniel K Treiber; Corey E Atteridge; Mihai D Azimioara; Michael G Benedetti; Todd A Carter; Pietro Ciceri; Philip T Edeen; Mark Floyd; Julia M Ford; Margaret Galvin; Jay L Gerlach; Robert M Grotzfeld; Sanna Herrgard; Darren E Insko; Michael A Insko; Andiliy G Lai; Jean-Michel Lélias; Shamal A Mehta; Zdravko V Milanov; Anne Marie Velasco; Lisa M Wodicka; Hitesh K Patel; Patrick P Zarrinkar; David J Lockhart
Journal:  Nat Biotechnol       Date:  2005-02-13       Impact factor: 54.908

8.  Detection of anaplastic lymphoma kinase (ALK) and nucleolar protein nucleophosmin (NPM)-ALK proteins in normal and neoplastic cells with the monoclonal antibody ALK1.

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Journal:  Blood       Date:  1997-02-15       Impact factor: 22.113

9.  The specificity of cross-reactivity: promiscuous antibody binding involves specific hydrogen bonds rather than nonspecific hydrophobic stickiness.

Authors:  Leo C James; Dan S Tawfik
Journal:  Protein Sci       Date:  2003-10       Impact factor: 6.725

10.  ATP binding to human hemoglobin in the presence and absence of magnesium ions investigated with 31P NMR spectroscopy and ultrafiltration.

Authors:  A J Costello; W E Marshall; A Omachi; T O Henderson
Journal:  Biochim Biophys Acta       Date:  1977-04-25
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  27 in total

1.  Chemical Proteomic Profiling of Lysophosphatidic Acid-Binding Proteins.

Authors:  Xuejiao Dong; Linfeng Gao; Jikui Song; Yinsheng Wang
Journal:  Anal Chem       Date:  2019-11-27       Impact factor: 6.986

2.  Proteomic Findings in Melanoma.

Authors:  Deepanwita Sengupta; Alan J Tackett
Journal:  J Proteomics Bioinform       Date:  2016-04-27

Review 3.  Toward sensitive and accurate analysis of antibody biotherapeutics by liquid chromatography coupled with mass spectrometry.

Authors:  Bo An; Ming Zhang; Jun Qu
Journal:  Drug Metab Dispos       Date:  2014-09-02       Impact factor: 3.922

4.  New mass-spectrometry-compatible degradable surfactant for tissue proteomics.

Authors:  Ying-Hua Chang; Zachery R Gregorich; Albert J Chen; Leekyoung Hwang; Huseyin Guner; Deyang Yu; Jianyi Zhang; Ying Ge
Journal:  J Proteome Res       Date:  2015-01-30       Impact factor: 4.466

5.  Evaluating kinase ATP uptake and tyrosine phosphorylation using multiplexed quantification of chemically labeled and post-translationally modified peptides.

Authors:  Bin Fang; Melissa A Hoffman; Abu-Sayeef Mirza; Katie M Mishall; Jiannong Li; Scott M Peterman; Keiran S M Smalley; Kenneth H Shain; Paul M Weinberger; Jie Wu; Uwe Rix; Eric B Haura; John M Koomen
Journal:  Methods       Date:  2015-03-14       Impact factor: 3.608

6.  Imatinib-Induced Changes in Protein Expression and ATP-Binding Affinities of Kinases in Chronic Myelocytic Leukemia Cells.

Authors:  Weili Miao; Lei Guo; Yinsheng Wang
Journal:  Anal Chem       Date:  2019-02-20       Impact factor: 6.986

Review 7.  Global discovery of protein kinases and other nucleotide-binding proteins by mass spectrometry.

Authors:  Yongsheng Xiao; Yinsheng Wang
Journal:  Mass Spectrom Rev       Date:  2014-11-05       Impact factor: 10.946

8.  A High-Throughput Targeted Proteomic Approach for Comprehensive Profiling of Methylglyoxal-Induced Perturbations of the Human Kinome.

Authors:  Weili Miao; Yongsheng Xiao; Lei Guo; Xiaogang Jiang; Ming Huang; Yinsheng Wang
Journal:  Anal Chem       Date:  2016-09-22       Impact factor: 6.986

9.  Comparison of Quantitative Mass Spectrometry Platforms for Monitoring Kinase ATP Probe Uptake in Lung Cancer.

Authors:  Melissa A Hoffman; Bin Fang; Eric B Haura; Uwe Rix; John M Koomen
Journal:  J Proteome Res       Date:  2017-11-22       Impact factor: 4.466

10.  Target Identification in Small Cell Lung Cancer via Integrated Phenotypic Screening and Activity-Based Protein Profiling.

Authors:  Jiannong Li; Bin Fang; Fumi Kinose; Yun Bai; Jae-Young Kim; Yian A Chen; Uwe Rix; John M Koomen; Eric B Haura
Journal:  Mol Cancer Ther       Date:  2016-01-15       Impact factor: 6.261

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