Literature DB >> 23702368

Review of software tools for design and analysis of large scale MRM proteomic datasets.

Christopher M Colangelo1, Lisa Chung, Can Bruce, Kei-Hoi Cheung.   

Abstract

Selective or Multiple Reaction monitoring (SRM/MRM) is a liquid-chromatography (LC)/tandem-mass spectrometry (MS/MS) method that enables the quantitation of specific proteins in a sample by analyzing precursor ions and the fragment ions of their selected tryptic peptides. Instrumentation software has advanced to the point that thousands of transitions (pairs of primary and secondary m/z values) can be measured in a triple quadrupole instrument coupled to an LC, by a well-designed scheduling and selection of m/z windows. The design of a good MRM assay relies on the availability of peptide spectra from previous discovery-phase LC-MS/MS studies. The tedious aspect of manually developing and processing MRM assays involving thousands of transitions has spurred to development of software tools to automate this process. Software packages have been developed for project management, assay development, assay validation, data export, peak integration, quality assessment, and biostatistical analysis. No single tool provides a complete end-to-end solution, thus this article reviews the current state and discusses future directions of these software tools in order to enable researchers to combine these tools for a comprehensive targeted proteomics workflow.
Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23702368      PMCID: PMC3775261          DOI: 10.1016/j.ymeth.2013.05.004

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


  90 in total

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Review 3.  A review of clinical diagnostic applications of liquid chromatography-tandem mass spectrometry.

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4.  Selected reaction monitoring mass spectrometry reveals the dynamics of signaling through the GRB2 adaptor.

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Journal:  Nat Biotechnol       Date:  2011-06-26       Impact factor: 54.908

5.  Automated detection of inaccurate and imprecise transitions in peptide quantification by multiple reaction monitoring mass spectrometry.

Authors:  Susan E Abbatiello; D R Mani; Hasmik Keshishian; Steven A Carr
Journal:  Clin Chem       Date:  2009-12-18       Impact factor: 8.327

6.  MaRiMba: a software application for spectral library-based MRM transition list assembly.

Authors:  Carly A Sherwood; Ashley Eastham; Lik Wee Lee; Amelia Peterson; Jimmy K Eng; David Shteynberg; Luis Mendoza; Eric W Deutsch; Jenni Risler; Natalie Tasman; Ruedi Aebersold; Henry Lam; Daniel B Martin
Journal:  J Proteome Res       Date:  2009-10       Impact factor: 4.466

7.  Implementation of a data repository-driven approach for targeted proteomics experiments by multiple reaction monitoring.

Authors:  Geraldine M Walsh; Shujun Lin; Daniel M Evans; Arash Khosrovi-Eghbal; Ronald C Beavis; Juergen Kast
Journal:  J Proteomics       Date:  2008-12-06       Impact factor: 4.044

8.  High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites.

Authors:  Jianru Stahl-Zeng; Vinzenz Lange; Reto Ossola; Katrin Eckhardt; Wilhelm Krek; Ruedi Aebersold; Bruno Domon
Journal:  Mol Cell Proteomics       Date:  2007-07-20       Impact factor: 5.911

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Authors:  Matthew C Chambers; Brendan Maclean; Robert Burke; Dario Amodei; Daniel L Ruderman; Steffen Neumann; Laurent Gatto; Bernd Fischer; Brian Pratt; Jarrett Egertson; Katherine Hoff; Darren Kessner; Natalie Tasman; Nicholas Shulman; Barbara Frewen; Tahmina A Baker; Mi-Youn Brusniak; Christopher Paulse; David Creasy; Lisa Flashner; Kian Kani; Chris Moulding; Sean L Seymour; Lydia M Nuwaysir; Brent Lefebvre; Frank Kuhlmann; Joe Roark; Paape Rainer; Suckau Detlev; Tina Hemenway; Andreas Huhmer; James Langridge; Brian Connolly; Trey Chadick; Krisztina Holly; Josh Eckels; Eric W Deutsch; Robert L Moritz; Jonathan E Katz; David B Agus; Michael MacCoss; David L Tabb; Parag Mallick
Journal:  Nat Biotechnol       Date:  2012-10       Impact factor: 54.908

10.  Peak intensity prediction in MALDI-TOF mass spectrometry: a machine learning study to support quantitative proteomics.

Authors:  Wiebke Timm; Alexandra Scherbart; Sebastian Böcker; Oliver Kohlbacher; Tim W Nattkemper
Journal:  BMC Bioinformatics       Date:  2008-10-20       Impact factor: 3.169

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Review 4.  Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome: Where There Is a Will, There Is a Way.

Authors:  Justyna Fert-Bober; Christopher I Murray; Sarah J Parker; Jennifer E Van Eyk
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

5.  DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics.

Authors:  Chih-Chiang Tsou; Dmitry Avtonomov; Brett Larsen; Monika Tucholska; Hyungwon Choi; Anne-Claude Gingras; Alexey I Nesvizhskii
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6.  Development of a highly automated and multiplexed targeted proteome pipeline and assay for 112 rat brain synaptic proteins.

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8.  Perturbational Profiling of Metabolites in Patient Fibroblasts Implicates α-Aminoadipate as a Potential Biomarker for Bipolar Disorder.

Authors:  Joanne H Huang; Shaunna S Berkovitch; Jonathan Iaconelli; Bradley Watmuff; Hyoungjun Park; Shrikanta Chattopadhyay; Donna McPhie; Dost Öngür; Bruce M Cohen; Clary B Clish; Rakesh Karmacharya
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Review 9.  Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

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Review 10.  The clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification.

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Journal:  Expert Rev Proteomics       Date:  2015-12-19       Impact factor: 3.940

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