Literature DB >> 20968307

Collision energy optimization of b- and y-ions for multiple reaction monitoring mass spectrometry.

Carly A Holstein Sherwood1, Philip R Gafken, Daniel B Martin.   

Abstract

Multiple reaction monitoring (MRM) is a highly sensitive and increasingly popular method of targeted mass spectrometry (MS) that can be used to selectively detect and quantify peptides and their corresponding proteins of interest within biological samples. The sensitivity of MRM-MS is highly dependent upon the tuning of transition-specific parameters, especially the collision energy (CE) applied during peptide fragmentation. Currently, empirical equations for CE work best for y-type ions and are much less effective for other types of transitions, such as b-type ions and small y-type transitions across particular amide bonds, which could also be useful for MRM-MS if optimized for maximum signal transmission. In this work, we have performed a CE optimization of all transitions for 80 doubly charged peptides, the results of which were used to define separate CE equations for b-ions and y-ions, as well as for small y-type ions derived from the fragmentation of amide bonds bounded on the amino-terminal side by aspartic or glutamic acid residues (D/E-X transitions). This analysis yielded four major observations: (1) b-ions tend to require lower collision energies than y-ions for optimal fragmentation, while D/E-X transitions tend to require more; (2) CE equations predict the optimal CEs more closely when product ion m/z dependence is included, in addition to the current standard of precursor ion m/z dependence; (3) separate CE equations for y-ions, b-ions, and D/E-X transitions are more effective than the previous one-size-fits-all equations, but best results are achieved by optimizing transitions individually; and (4) while b-ions gain substantial signal from CE optimization-often increases of several-fold-they still tend to rank lower than y-ions from the same peptide. These results confirm the notion that y-ions are usually the first-choice transitions for MRM experiments but also demonstrate, for the first time, that b-ions can be viable targets as well, if the proper collision energies are used.

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Year:  2010        PMID: 20968307     DOI: 10.1021/pr1004289

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  10 in total

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Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

Review 2.  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

3.  Collision energy-breakdown curves - An additional tool to characterize MS/MS methods.

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Journal:  Clin Mass Spectrom       Date:  2020-10-20

Review 4.  The development of selected reaction monitoring methods for targeted proteomics via empirical refinement.

Authors:  Michael S Bereman; Brendan MacLean; Daniela M Tomazela; Daniel C Liebler; Michael J MacCoss
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

5.  Estimation of absolute protein quantities of unlabeled samples by selected reaction monitoring mass spectrometry.

Authors:  Christina Ludwig; Manfred Claassen; Alexander Schmidt; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2011-11-20       Impact factor: 5.911

6.  Expediting SRM assay development for large-scale targeted proteomics experiments.

Authors:  Chaochao Wu; Tujin Shi; Joseph N Brown; Jintang He; Yuqian Gao; Thomas L Fillmore; Anil K Shukla; Ronald J Moore; David G Camp; Karin D Rodland; Wei-Jun Qian; Tao Liu; Richard D Smith
Journal:  J Proteome Res       Date:  2014-09-04       Impact factor: 4.466

7.  Tailoring to Search Engines: Bottom-Up Proteomics with Collision Energies Optimized for Identification Confidence.

Authors:  Ágnes Révész; Márton Gyula Milley; Kinga Nagy; Dániel Szabó; Gergő Kalló; Éva Csősz; Károly Vékey; László Drahos
Journal:  J Proteome Res       Date:  2020-12-07       Impact factor: 4.466

Review 8.  Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry.

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Journal:  Mol Cell Proteomics       Date:  2015-12       Impact factor: 5.911

9.  Constrained selected reaction monitoring: quantification of selected post-translational modifications and protein isoforms.

Authors:  Xiaoqian Liu; Zhicheng Jin; Richard O'Brien; Joan Bathon; Harry C Dietz; Eric Grote; Jennifer E Van Eyk
Journal:  Methods       Date:  2013-03-22       Impact factor: 3.608

10.  Proteomic analysis of human osteoarthritis synovial fluid.

Authors:  Lavanya Balakrishnan; Raja Sekhar Nirujogi; Sartaj Ahmad; Mitali Bhattacharjee; Srikanth S Manda; Santosh Renuse; Dhanashree S Kelkar; Yashwanth Subbannayya; Rajesh Raju; Renu Goel; Joji Kurian Thomas; Navjyot Kaur; Mukesh Dhillon; Shantal Gupta Tankala; Ramesh Jois; Vivek Vasdev; Yl Ramachandra; Nandini A Sahasrabuddhe; Ts Keshava Prasad; Sujatha Mohan; Harsha Gowda; Subramanian Shankar; Akhilesh Pandey
Journal:  Clin Proteomics       Date:  2014-02-17       Impact factor: 3.988

  10 in total

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