Literature DB >> 22098410

Development of a Chip/Chip/SRM platform using digital chip isoelectric focusing and LC-Chip mass spectrometry for enrichment and quantitation of low abundance protein biomarkers in human plasma.

Agnes Rafalko1, Shujia Dai, William S Hancock, Barry L Karger, Marina Hincapie.   

Abstract

Protein biomarkers are critical for diagnosis, prognosis, and treatment of disease. The transition from protein biomarker discovery to verification can be a rate limiting step in clinical development of new diagnostics. Liquid chromatography-selected reaction monitoring mass spectrometry (LC-SRM MS) is becoming an important tool for biomarker verification studies in highly complex biological samples. Analyte enrichment or sample fractionation is often necessary to reduce sample complexity and improve sensitivity of SRM for quantitation of clinically relevant biomarker candidates present at the low ng/mL range in blood. In this paper, we describe an alternative method for sample preparation for LC-SRM MS, which does not rely on availability of antibodies. This new platform is based on selective enrichment of proteotypic peptides from complex biological peptide mixtures via isoelectric focusing (IEF) on a digital ProteomeChip (dPC) for SRM quantitation using a triple quadrupole (QQQ) instrument with an LC-Chip (Chip/Chip/SRM). To demonstrate the value of this approach, the optimization of the Chip/Chip/SRM platform was performed using prostate specific antigen (PSA) added to female plasma as a model system. The combination of immunodepletion of albumin and IgG with peptide fractionation on the dPC, followed by SRM analysis, resulted in a limit of quantitation of PSA added to female plasma at the level of ∼1-2.5 ng/mL with a CV of ∼13%. The optimized platform was applied to measure levels of PSA in plasma of a small cohort of male patients with prostate cancer (PCa) and healthy matched controls with concentrations ranging from 1.5 to 25 ng/mL. A good correlation (r(2) = 0.9459) was observed between standard clinical ELISA tests and the SRM-based assay. Our data demonstrate that the combination of IEF on the dPC and SRM (Chip/Chip/SRM) can be successfully applied for verification of low abundance protein biomarkers in complex samples.

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Year:  2011        PMID: 22098410      PMCID: PMC3656385          DOI: 10.1021/pr2006704

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


  50 in total

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Journal:  Anal Chem       Date:  2004-04-01       Impact factor: 6.986

Review 2.  On the development of plasma protein biomarkers.

Authors:  Silvia Surinova; Ralph Schiess; Ruth Hüttenhain; Ferdinando Cerciello; Bernd Wollscheid; Ruedi Aebersold
Journal:  J Proteome Res       Date:  2010-12-13       Impact factor: 4.466

3.  Proteome analysis of microdissected tumor tissue using a capillary isoelectric focusing-based multidimensional separation platform coupled with ESI-tandem MS.

Authors:  Yueju Wang; Paul A Rudnick; Erin L Evans; Jie Li; Zhengping Zhuang; Don L Devoe; Cheng S Lee; Brian M Balgley
Journal:  Anal Chem       Date:  2005-10-15       Impact factor: 6.986

4.  Computational prediction of proteotypic peptides for quantitative proteomics.

Authors:  Parag Mallick; Markus Schirle; Sharon S Chen; Mark R Flory; Hookeun Lee; Daniel Martin; Jeffrey Ranish; Brian Raught; Robert Schmitt; Thilo Werner; Bernhard Kuster; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2006-12-31       Impact factor: 54.908

5.  Multiple reaction monitoring-based, multiplexed, absolute quantitation of 45 proteins in human plasma.

Authors:  Michael A Kuzyk; Derek Smith; Juncong Yang; Tyra J Cross; Angela M Jackson; Darryl B Hardie; N Leigh Anderson; Christoph H Borchers
Journal:  Mol Cell Proteomics       Date:  2009-05-01       Impact factor: 5.911

6.  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

7.  Simultaneous analysis of glycosylated and sialylated prostate-specific antigen revealing differential distribution of glycosylated prostate-specific antigen isoforms in prostate cancer tissues.

Authors:  Yan Li; Yuan Tian; Taha Rezai; Amol Prakash; Mary F Lopez; Daniel W Chan; Hui Zhang
Journal:  Anal Chem       Date:  2010-12-08       Impact factor: 6.986

8.  Quantification of cardiovascular biomarkers in patient plasma by targeted mass spectrometry and stable isotope dilution.

Authors:  Hasmik Keshishian; Terri Addona; Michael Burgess; D R Mani; Xu Shi; Eric Kuhn; Marc S Sabatine; Robert E Gerszten; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2009-07-13       Impact factor: 5.911

9.  Fractionation of peptides and identification of proteins from Saccharomyces cerevisiae in proteomics with the use of reversed-phase capillary liquid chromatography and pI-based approach.

Authors:  Tomasz Baczek
Journal:  J Pharm Biomed Anal       Date:  2004-06-29       Impact factor: 3.935

10.  Prediction of peptides observable by mass spectrometry applied at the experimental set level.

Authors:  William S Sanders; Susan M Bridges; Fiona M McCarthy; Bindu Nanduri; Shane C Burgess
Journal:  BMC Bioinformatics       Date:  2007-11-01       Impact factor: 3.169

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  9 in total

1.  Identification of a novel proteoform of prostate specific antigen (SNP-L132I) in clinical samples by multiple reaction monitoring.

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Journal:  Mol Cell Proteomics       Date:  2013-07-10       Impact factor: 5.911

2.  Slip flow in colloidal crystals for ultraefficient chromatography.

Authors:  Bingchuan Wei; Benjamin J Rogers; Mary J Wirth
Journal:  J Am Chem Soc       Date:  2012-06-22       Impact factor: 15.419

3.  Long-gradient separations coupled with selected reaction monitoring for highly sensitive, large scale targeted protein quantification in a single analysis.

Authors:  Tujin Shi; Thomas L Fillmore; Yuqian Gao; Rui Zhao; Jintang He; Athena A Schepmoes; Carrie D Nicora; Chaochao Wu; Justin L Chambers; Ronald J Moore; Jacob Kagan; Sudhir Srivastava; Alvin Y Liu; Karin D Rodland; Tao Liu; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  Anal Chem       Date:  2013-09-19       Impact factor: 6.986

4.  Targeted quantification of low ng/mL level proteins in human serum without immunoaffinity depletion.

Authors:  Tujin Shi; Xuefei Sun; Yuqian Gao; Thomas L Fillmore; Athena A Schepmoes; Rui Zhao; Jintang He; Ronald J Moore; Jacob Kagan; Karin D Rodland; Tao Liu; Alvin Y Liu; Richard D Smith; Keqi Tang; David G Camp; Wei-Jun Qian
Journal:  J Proteome Res       Date:  2013-06-13       Impact factor: 4.466

5.  Application of Differential Proteomic Analysis to Authenticate Ophiocordyceps sinensis.

Authors:  Shiwei Zhang; Xintian Lai; Bifang Li; Cong Wu; Shifeng Wang; Xuejian Chen; Jingmin Huang; Guowu Yang
Journal:  Curr Microbiol       Date:  2015-12-11       Impact factor: 2.188

Review 6.  The clinical impact of recent advances in LC-MS for cancer biomarker discovery and verification.

Authors:  Hui Wang; Tujin Shi; Wei-Jun Qian; Tao Liu; Jacob Kagan; Sudhir Srivastava; Richard D Smith; Karin D Rodland; David G Camp
Journal:  Expert Rev Proteomics       Date:  2015-12-19       Impact factor: 3.940

Review 7.  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

Review 8.  Prostate cancer proteomics: Current trends and future perspectives for biomarker discovery.

Authors:  Cristiana Pistol Tanase; Elena Codrici; Ionela Daniela Popescu; Simona Mihai; Ana-Maria Enciu; Laura Georgiana Necula; Adrian Preda; Gener Ismail; Radu Albulescu
Journal:  Oncotarget       Date:  2017-03-14

Review 9.  Proteomic Profiling and Artificial Intelligence for Hepatocellular Carcinoma Translational Medicine.

Authors:  Nurbubu T Moldogazieva; Innokenty M Mokhosoev; Sergey P Zavadskiy; Alexander A Terentiev
Journal:  Biomedicines       Date:  2021-02-06
  9 in total

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