Literature DB >> 25782629

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

Bin Fang1, Melissa A Hoffman2, Abu-Sayeef Mirza2, Katie M Mishall2, Jiannong Li3, Scott M Peterman4, Keiran S M Smalley5, Kenneth H Shain3, Paul M Weinberger6, Jie Wu3, Uwe Rix3, Eric B Haura3, John M Koomen7.   

Abstract

Cancer biologists and other healthcare researchers face an increasing challenge in addressing the molecular complexity of disease. Biomarker measurement tools and techniques now contribute to both basic science and translational research. In particular, liquid chromatography-multiple reaction monitoring mass spectrometry (LC-MRM) for multiplexed measurements of protein biomarkers has emerged as a versatile tool for systems biology. Assays can be developed for specific peptides that report on protein expression, mutation, or post-translational modification; discovery proteomics data rapidly translated into multiplexed quantitative approaches. Complementary advances in affinity purification enrich classes of enzymes or peptides representing post-translationally modified or chemically labeled substrates. Here, we illustrate the process for the relative quantification of hundreds of peptides in a single LC-MRM experiment. Desthiobiotinylated peptides produced by activity-based protein profiling (ABPP) using ATP probes and tyrosine-phosphorylated peptides are used as examples. These targeted quantification panels can be applied to further understand the biology of human disease.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Activity-based protein profiling; Cancer; Kinase signaling; Liquid chromatography–multiple reaction monitoring mass spectrometry (LC–MRM); Phosphotyrosine profiling; Spectral library

Mesh:

Substances:

Year:  2015        PMID: 25782629      PMCID: PMC4460980          DOI: 10.1016/j.ymeth.2015.03.006

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  39 in total

1.  Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS.

Authors:  Scott A Gerber; John Rush; Olaf Stemman; Marc W Kirschner; Steven P Gygi
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-27       Impact factor: 11.205

2.  The absolute quantification strategy: a general procedure for the quantification of proteins and post-translational modifications.

Authors:  Donald S Kirkpatrick; Scott A Gerber; Steven P Gygi
Journal:  Methods       Date:  2005-01-12       Impact factor: 3.608

3.  Immunoaffinity profiling of tyrosine phosphorylation in cancer cells.

Authors:  John Rush; Albrecht Moritz; Kimberly A Lee; Ailan Guo; Valerie L Goss; Erik J Spek; Hui Zhang; Xiang-Ming Zha; Roberto D Polakiewicz; Michael J Comb
Journal:  Nat Biotechnol       Date:  2004-12-12       Impact factor: 54.908

4.  Multiple reaction monitoring for robust quantitative proteomic analysis of cellular signaling networks.

Authors:  Alejandro Wolf-Yadlin; Sampsa Hautaniemi; Douglas A Lauffenburger; Forest M White
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-26       Impact factor: 11.205

5.  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 6.  Activity-based protein profiling for the functional annotation of enzymes.

Authors:  Katherine T Barglow; Benjamin F Cravatt
Journal:  Nat Methods       Date:  2007-10       Impact factor: 28.547

7.  Absolute quantification of phosphorylation on the kinase activation loop of cellular focal adhesion kinase by stable isotope dilution liquid chromatography/mass spectrometry.

Authors:  Eugene Ciccimaro; Steven K Hanks; Kenneth H Yu; Ian A Blair
Journal:  Anal Chem       Date:  2009-05-01       Impact factor: 6.986

Review 8.  A human proteome detection and quantitation project.

Authors:  N Leigh Anderson; Norman G Anderson; Terry W Pearson; Christoph H Borchers; Amanda G Paulovich; Scott D Patterson; Michael Gillette; Ruedi Aebersold; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2009-01-07       Impact factor: 5.911

9.  Integrated pipeline for mass spectrometry-based discovery and confirmation of biomarkers demonstrated in a mouse model of breast cancer.

Authors:  Jeffrey R Whiteaker; Heidi Zhang; Lei Zhao; Pei Wang; Karen S Kelly-Spratt; Richard G Ivey; Brian D Piening; Li-Chia Feng; Erik Kasarda; Kay E Gurley; Jimmy K Eng; Lewis A Chodosh; Christopher J Kemp; Martin W McIntosh; Amanda G Paulovich
Journal:  J Proteome Res       Date:  2007-08-21       Impact factor: 4.466

10.  Selected reaction monitoring for quantitative proteomics: a tutorial.

Authors:  Vinzenz Lange; Paola Picotti; Bruno Domon; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2008-10-14       Impact factor: 11.429

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  9 in total

1.  BCL2 Amplicon Loss and Transcriptional Remodeling Drives ABT-199 Resistance in B Cell Lymphoma Models.

Authors:  Xiaohong Zhao; Yuan Ren; Matthew Lawlor; Bijal D Shah; Paul M C Park; Tint Lwin; Xuefeng Wang; Kenian Liu; Michelle Wang; Jing Gao; Tao Li; Mousheng Xu; Ariosto S Silva; Kaplan Lee; Tinghu Zhang; John M Koomen; Huijuan Jiang; Praneeth R Sudalagunta; Mark B Meads; Fengdong Cheng; Chengfeng Bi; Kai Fu; Huitao Fan; William S Dalton; Lynn C Moscinski; Kenneth H Shain; Eduardo M Sotomayor; Gang Greg Wang; Nathanael S Gray; John L Cleveland; Jun Qi; Jianguo Tao
Journal:  Cancer Cell       Date:  2019-05-13       Impact factor: 31.743

2.  Activity-Based Protein Profiling Shows Heterogeneous Signaling Adaptations to BRAF Inhibition.

Authors:  Ritin Sharma; Inna Fedorenko; Paige T Spence; Vernon K Sondak; Keiran S M Smalley; John M Koomen
Journal:  J Proteome Res       Date:  2016-11-17       Impact factor: 4.466

3.  Lowering Sample Requirements to Study Tyrosine Kinase Signaling Using Phosphoproteomics with the TMT Calibrator Approach.

Authors:  Bin Fang; Victoria Izumi; Lily L Remsing Rix; Eric Welsh; Ian Pike; Gary W Reuther; Eric B Haura; Uwe Rix; John M Koomen
Journal:  Proteomics       Date:  2020-09-30       Impact factor: 3.984

4.  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

5.  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

Review 6.  Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  J Proteomics       Date:  2018-02-13       Impact factor: 4.044

Review 7.  A Timely Shift from Shotgun to Targeted Proteomics and How It Can Be Groundbreaking for Cancer Research.

Authors:  Sara S Faria; Carlos F M Morris; Adriano R Silva; Micaella P Fonseca; Patrice Forget; Mariana S Castro; Wagner Fontes
Journal:  Front Oncol       Date:  2017-02-20       Impact factor: 6.244

8.  Cytokeratin-8 in Anaplastic Thyroid Carcinoma: More Than a Simple Structural Cytoskeletal Protein.

Authors:  Dehuang Guo; Qinqin Xu; Sarabjot Pabla; John Koomen; Paul Biddinger; Ashok Sharma; Simarjot Pabla; Rafal Pacholczyk; Chien-Chung Chang; Kevin Friedrich; Kamran Mohammed; Robert C Smallridge; John A Copland; Jin-Xiong She; Paul M Weinberger
Journal:  Int J Mol Sci       Date:  2018-02-14       Impact factor: 5.923

9.  GMSimpute: a generalized two-step Lasso approach to impute missing values in label-free mass spectrum analysis.

Authors:  Qian Li; Kate Fisher; Wenjun Meng; Bin Fang; Eric Welsh; Eric B Haura; John M Koomen; Steven A Eschrich; Brooke L Fridley; Y Ann Chen
Journal:  Bioinformatics       Date:  2020-01-01       Impact factor: 6.937

  9 in total

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