Literature DB >> 17447729

Strategic use of immunoprecipitation and LC/MS/MS for trace-level protein quantification: myosin light chain 1, a biomarker of cardiac necrosis.

Michael J Berna1, Yuejun Zhen, David E Watson, John E Hale, Bradley L Ackermann.   

Abstract

Myosin light chain 1 (Myl3) is a 23-kDa isoform of one of the subunits of myosin, a protein involved in muscle contraction. Myl3 is presently being studied as a biomarker of cardiac necrosis to predict drug-induced cardiotoxicity, and in the work presented here, an LC/MS/MS assay was developed and validated to measure Myl3 in rat serum. The key steps in this approach involved immunoaffinity purification of Myl3 from serum followed by on-bead digestion with trypsin to release a surrogate peptide. This tryptic peptide was quantified using a synthetic peptide standard and a corresponding stable isotope-labeled internal standard, and the results were stoichiometrically converted to Myl3 serum concentrations. Myl3 concentrations were corrected for peptide recovery following immunoprecipitation and digestion (85%) and showed excellent agreement with synthetic peptide standards. Both the synthetic peptide and His-Myl3 protein were used to evaluate assay accuracy (% RE) and precision (% CV), which were measured on each of 3 days. The synthetic peptide was evaluated over the range of 0.073-7.16 nM, while Myl3 protein QC samples prepared in rat serum were evaluated over the range of 0.13-6.62 nM. To prepare control matrix, endogenous Myl3 was immunodepleted from pooled rat serum. Peptide interday accuracy and precision did not exceed 7.6 and 11.1%, and Myl3 interday accuracy and precision did not exceed 12.9 and 13.2%, respectively. Data are presented from the application of this assay to establish a time course in which rats demonstrated a marked increase in Myl3 serum concentrations following administration of isoproterenol, a beta-adrenergic receptor agonist known to induce cardiac injury. This assay is an example of a larger effort in our laboratory to use LC/MS/MS in conjunction with immunoaffinity techniques to evaluate candidate biomarkers of target organ toxicity and to expedite the development of biomarker assays for drug development.

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Year:  2007        PMID: 17447729     DOI: 10.1021/ac070051f

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  16 in total

1.  Interlaboratory evaluation of automated, multiplexed peptide immunoaffinity enrichment coupled to multiple reaction monitoring mass spectrometry for quantifying proteins in plasma.

Authors:  Eric Kuhn; Jeffrey R Whiteaker; D R Mani; Angela M Jackson; Lei Zhao; Matthew E Pope; Derek Smith; Keith D Rivera; N Leigh Anderson; Steven J Skates; Terry W Pearson; Amanda G Paulovich; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2011-12-22       Impact factor: 5.911

Review 2.  Selected reaction monitoring-based proteomics: workflows, potential, pitfalls and future directions.

Authors:  Paola Picotti; Ruedi Aebersold
Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

3.  Multi-site assessment of the precision and reproducibility of multiple reaction monitoring-based measurements of proteins in plasma.

Authors:  Terri A Addona; Susan E Abbatiello; Birgit Schilling; Steven J Skates; D R Mani; David M Bunk; Clifford H Spiegelman; Lisa J Zimmerman; Amy-Joan L Ham; Hasmik Keshishian; Steven C Hall; Simon Allen; Ronald K Blackman; Christoph H Borchers; Charles Buck; Helene L Cardasis; Michael P Cusack; Nathan G Dodder; Bradford W Gibson; Jason M Held; Tara Hiltke; Angela Jackson; Eric B Johansen; Christopher R Kinsinger; Jing Li; Mehdi Mesri; Thomas A Neubert; Richard K Niles; Trenton C Pulsipher; David Ransohoff; Henry Rodriguez; Paul A Rudnick; Derek Smith; David L Tabb; Tony J Tegeler; Asokan M Variyath; Lorenzo J Vega-Montoto; Asa Wahlander; Sofia Waldemarson; Mu Wang; Jeffrey R Whiteaker; Lei Zhao; N Leigh Anderson; Susan J Fisher; Daniel C Liebler; Amanda G Paulovich; Fred E Regnier; Paul Tempst; Steven A Carr
Journal:  Nat Biotechnol       Date:  2009-06-28       Impact factor: 54.908

Review 4.  Mass spectrometry based biomarker discovery, verification, and validation--quality assurance and control of protein biomarker assays.

Authors:  Carol E Parker; Christoph H Borchers
Journal:  Mol Oncol       Date:  2014-03-20       Impact factor: 6.603

5.  Quantification of cardiac troponin I in human plasma by immunoaffinity enrichment and targeted mass spectrometry.

Authors:  Nicole A Schneck; Karen W Phinney; Sang Bok Lee; Mark S Lowenthal
Journal:  Anal Bioanal Chem       Date:  2018-03-01       Impact factor: 4.142

6.  Development of different analysis platforms with LC-MS for pharmacokinetic studies of protein drugs.

Authors:  Qiaozhen Lu; Xiaoyang Zheng; Thomas McIntosh; Hugh Davis; Jennifer F Nemeth; Chuck Pendley; Shiaw-Lin Wu; William S Hancock
Journal:  Anal Chem       Date:  2009-11-01       Impact factor: 6.986

Review 7.  The fundamental flaws of immunoassays and potential solutions using tandem mass spectrometry.

Authors:  Andrew N Hoofnagle; Mark H Wener
Journal:  J Immunol Methods       Date:  2009-06-16       Impact factor: 2.303

8.  Developing multiplexed assays for troponin I and interleukin-33 in plasma by peptide immunoaffinity enrichment and targeted mass spectrometry.

Authors:  Eric Kuhn; Terri Addona; Hasmik Keshishian; Michael Burgess; D R Mani; Richard T Lee; Marc S Sabatine; Robert E Gerszten; Steven A Carr
Journal:  Clin Chem       Date:  2009-04-16       Impact factor: 8.327

9.  Biochemical fractionation and stable isotope dilution liquid chromatography-mass spectrometry for targeted and microdomain-specific protein quantification in human postmortem brain tissue.

Authors:  Matthew L MacDonald; Eugene Ciccimaro; Amol Prakash; Anamika Banerjee; Steven H Seeholzer; Ian A Blair; Chang-Gyu Hahn
Journal:  Mol Cell Proteomics       Date:  2012-08-31       Impact factor: 5.911

Review 10.  Advancing the sensitivity of selected reaction monitoring-based targeted quantitative proteomics.

Authors:  Tujin Shi; Dian Su; Tao Liu; Keqi Tang; David G Camp; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

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