Literature DB >> 26912667

Reduced-representation Phosphosignatures Measured by Quantitative Targeted MS Capture Cellular States and Enable Large-scale Comparison of Drug-induced Phenotypes.

Jennifer G Abelin1, Jinal Patel1, Xiaodong Lu1, Caitlin M Feeney1, Lola Fagbami1, Amanda L Creech1, Roger Hu1, Daniel Lam1, Desiree Davison1, Lindsay Pino1, Jana W Qiao1, Eric Kuhn1, Adam Officer1, Jianxue Li2, Susan Abbatiello1, Aravind Subramanian1, Richard Sidman2, Evan Snyder3, Steven A Carr1, Jacob D Jaffe4.   

Abstract

Profiling post-translational modifications represents an alternative dimension to gene expression data in characterizing cellular processes. Many cellular responses to drugs are mediated by changes in cellular phosphosignaling. We sought to develop a common platform on which phosphosignaling responses could be profiled across thousands of samples, and created a targeted MS assay that profiles a reduced-representation set of phosphopeptides that we show to be strong indicators of responses to chemical perturbagens.To develop the assay, we investigated the coordinate regulation of phosphosites in samples derived from three cell lines treated with 26 different bioactive small molecules. Phosphopeptide analytes were selected from these discovery studies by clustering and picking 1 to 2 proxy members from each cluster. A quantitative, targeted parallel reaction monitoring assay was developed to directly measure 96 reduced-representation probes. Sample processing for proteolytic digestion, protein quantification, peptide desalting, and phosphopeptide enrichment have been fully automated, making possible the simultaneous processing of 96 samples in only 3 days, with a plate phosphopeptide enrichment variance of 12%. This highly reproducible process allowed ∼95% of the reduced-representation phosphopeptide probes to be detected in ∼200 samples.The performance of the assay was evaluated by measuring the probes in new samples generated under treatment conditions from discovery experiments, recapitulating the observations of deeper experiments using a fraction of the analytical effort. We measured these probes in new experiments varying the treatments, cell types, and timepoints to demonstrate generalizability. We demonstrated that the assay is sensitive to disruptions in common signaling pathways (e.g. MAPK, PI3K/mTOR, and CDK). The high-throughput, reduced-representation phosphoproteomics assay provides a platform for the comparison of perturbations across a range of biological conditions, suitable for profiling thousands of samples. We believe the assay will prove highly useful for classification of known and novel drug and genetic mechanisms through comparison of phosphoproteomic signatures.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26912667      PMCID: PMC4858944          DOI: 10.1074/mcp.M116.058354

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


  58 in total

1.  Accurate inclusion mass screening: a bridge from unbiased discovery to targeted assay development for biomarker verification.

Authors:  Jacob D Jaffe; Hasmik Keshishian; Betty Chang; Theresa A Addona; Michael A Gillette; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2008-06-04       Impact factor: 5.911

Review 2.  Global and site-specific quantitative phosphoproteomics: principles and applications.

Authors:  Boris Macek; Matthias Mann; Jesper V Olsen
Journal:  Annu Rev Pharmacol Toxicol       Date:  2009       Impact factor: 13.820

3.  Synthetic lethal interaction between oncogenic KRAS dependency and STK33 suppression in human cancer cells.

Authors:  Claudia Scholl; Stefan Fröhling; Ian F Dunn; Anna C Schinzel; David A Barbie; So Young Kim; Serena J Silver; Pablo Tamayo; Raymond C Wadlow; Sridhar Ramaswamy; Konstanze Döhner; Lars Bullinger; Peter Sandy; Jesse S Boehm; David E Root; Tyler Jacks; William C Hahn; D Gary Gilliland
Journal:  Cell       Date:  2009-05-29       Impact factor: 41.582

4.  Magnetic bead processor for rapid evaluation and optimization of parameters for phosphopeptide enrichment.

Authors:  Scott B Ficarro; Guillaume Adelmant; Maria N Tomar; Yi Zhang; Vincent J Cheng; Jarrod A Marto
Journal:  Anal Chem       Date:  2009-06-01       Impact factor: 6.986

5.  Immunoaffinity enrichments followed by mass spectrometric detection for studying global protein tyrosine phosphorylation.

Authors:  Sara Bergström Lind; Magnus Molin; Mikhail M Savitski; Lina Emilsson; Jonas Aström; Ludwig Hedberg; Chris Adams; Michael L Nielsen; Ake Engström; Lioudmila Elfineh; Eva Andersson; Roman A Zubarev; Ulf Pettersson
Journal:  J Proteome Res       Date:  2008-06-11       Impact factor: 4.466

6.  Directed sample interrogation utilizing an accurate mass exclusion-based data-dependent acquisition strategy (AMEx).

Authors:  Emily L Rudomin; Steven A Carr; Jacob D Jaffe
Journal:  J Proteome Res       Date:  2009-06       Impact factor: 4.466

7.  The SCX/IMAC enrichment approach for global phosphorylation analysis by mass spectrometry.

Authors:  Judit Villén; Steven P Gygi
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

Review 8.  AMPK in Health and Disease.

Authors:  Gregory R Steinberg; Bruce E Kemp
Journal:  Physiol Rev       Date:  2009-07       Impact factor: 37.312

9.  Quantitative-proteomic comparison of alpha and Beta cells to uncover novel targets for lineage reprogramming.

Authors:  Amit Choudhary; Kaihui Hu He; Philipp Mertins; Namrata D Udeshi; Vlado Dančík; Dina Fomina-Yadlin; Stefan Kubicek; Paul A Clemons; Stuart L Schreiber; Steven A Carr; Bridget K Wagner
Journal:  PLoS One       Date:  2014-04-23       Impact factor: 3.240

10.  Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1.

Authors:  David A Barbie; Pablo Tamayo; Jesse S Boehm; So Young Kim; Susan E Moody; Ian F Dunn; Anna C Schinzel; Peter Sandy; Etienne Meylan; Claudia Scholl; Stefan Fröhling; Edmond M Chan; Martin L Sos; Kathrin Michel; Craig Mermel; Serena J Silver; Barbara A Weir; Jan H Reiling; Qing Sheng; Piyush B Gupta; Raymond C Wadlow; Hanh Le; Sebastian Hoersch; Ben S Wittner; Sridhar Ramaswamy; David M Livingston; David M Sabatini; Matthew Meyerson; Roman K Thomas; Eric S Lander; Jill P Mesirov; David E Root; D Gary Gilliland; Tyler Jacks; William C Hahn
Journal:  Nature       Date:  2009-10-21       Impact factor: 49.962

View more
  36 in total

1.  Highly reproducible improved label-free quantitative analysis of cellular phosphoproteome by optimization of LC-MS/MS gradient and analytical column construction.

Authors:  Nagib Ahsan; Judson Belmont; Zhuo Chen; James G Clifton; Arthur R Salomon
Journal:  J Proteomics       Date:  2017-06-17       Impact factor: 4.044

2.  A Curated Resource for Phosphosite-specific Signature Analysis.

Authors:  Karsten Krug; Philipp Mertins; Bin Zhang; Peter Hornbeck; Rajesh Raju; Rushdy Ahmad; Matthew Szucs; Filip Mundt; Dominique Forestier; Judit Jane-Valbuena; Hasmik Keshishian; Michael A Gillette; Pablo Tamayo; Jill P Mesirov; Jacob D Jaffe; Steven A Carr; D R Mani
Journal:  Mol Cell Proteomics       Date:  2018-12-18       Impact factor: 5.911

3.  A phosphoproteomic signature in endothelial cells predicts vascular toxicity of tyrosine kinase inhibitors used in CML.

Authors:  Srila Gopal; Qing Lu; Joshua J Man; Wendy Baur; Sitara P Rao; Lev Litichevskiy; Malvina Papanastasiou; Amanda L Creech; Katherine C DeRuff; James Mullahoo; Adam Officer; Shawn B Egri; Desiree Davison; Jacob D Jaffe; Iris Z Jaffe
Journal:  Blood Adv       Date:  2018-07-24

Review 4.  The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics.

Authors:  Lindsay K Pino; Brian C Searle; James G Bollinger; Brook Nunn; Brendan MacLean; Michael J MacCoss
Journal:  Mass Spectrom Rev       Date:  2017-07-09       Impact factor: 10.946

5.  Activity of the PI3K-δ,γ inhibitor duvelisib in a phase 1 trial and preclinical models of T-cell lymphoma.

Authors:  Steven M Horwitz; Raphael Koch; Pierluigi Porcu; Yasuhiro Oki; Alison Moskowitz; Megan Perez; Patricia Myskowski; Adam Officer; Jacob D Jaffe; Sara N Morrow; Kerstin Allen; Mark Douglas; Howard Stern; Jennifer Sweeney; Patrick Kelly; Virginia Kelly; Jon C Aster; David Weaver; Francine M Foss; David M Weinstock
Journal:  Blood       Date:  2017-12-12       Impact factor: 22.113

Review 6.  Towards comprehensive and quantitative proteomics for diagnosis and therapy of human disease.

Authors:  Paolo Cifani; Alex Kentsis
Journal:  Proteomics       Date:  2016-12-21       Impact factor: 3.984

Review 7.  Clinical potential of mass spectrometry-based proteogenomics.

Authors:  Bing Zhang; Jeffrey R Whiteaker; Andrew N Hoofnagle; Geoffrey S Baird; Karin D Rodland; Amanda G Paulovich
Journal:  Nat Rev Clin Oncol       Date:  2019-04       Impact factor: 66.675

8.  Transitioning from Targeted to Comprehensive Mass Spectrometry Using Genetic Algorithms.

Authors:  Jacob D Jaffe; Caitlin M Feeney; Jinal Patel; Xiaodong Lu; D R Mani
Journal:  J Am Soc Mass Spectrom       Date:  2016-08-25       Impact factor: 3.109

9.  Targeted Quantification of Phosphorylation Dynamics in the Context of EGFR-MAPK Pathway.

Authors:  Lian Yi; Tujin Shi; Marina A Gritsenko; Chi-Yuet X'avia Chan; Thomas L Fillmore; Becky M Hess; Adam C Swensen; Tao Liu; Richard D Smith; H Steven Wiley; Wei-Jun Qian
Journal:  Anal Chem       Date:  2018-04-03       Impact factor: 6.986

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.