Literature DB >> 23933160

Method and platform standardization in MRM-based quantitative plasma proteomics.

Andrew J Percy1, Andrew G Chambers, Juncong Yang, Angela M Jackson, Dominik Domanski, Julia Burkhart, Albert Sickmann, Christoph H Borchers.   

Abstract

There exists a growing demand in the proteomics community to standardize experimental methods and liquid chromatography-mass spectrometry (LC/MS) platforms in order to enable the acquisition of more precise and accurate quantitative data. This necessity is heightened by the evolving trend of verifying and validating candidate disease biomarkers in complex biofluids, such as blood plasma, through targeted multiple reaction monitoring (MRM)-based approaches with stable isotope-labeled standards (SIS). Considering the lack of performance standards for quantitative plasma proteomics, we previously developed two reference kits to evaluate the MRM with SIS peptide approach using undepleted and non-enriched human plasma. The first kit tests the effectiveness of the LC/MRM-MS platform (kit #1), while the second evaluates the performance of an entire analytical workflow (kit #2). Here, these kits have been refined for practical use and then evaluated through intra- and inter-laboratory testing on 6 common LC/MS platforms. For an identical panel of 22 plasma proteins, similar concentrations were determined, regardless of the kit, instrument platform, and laboratory of analysis. These results demonstrate the value of the kit and reinforce the utility of standardized methods and protocols. BIOLOGICAL SIGNIFICANCE: The proteomics community needs standardized experimental protocols and quality control methods in order to improve the reproducibility of MS-based quantitative data. This need is heightened by the evolving trend for MRM-based validation of proposed disease biomarkers in complex biofluids such as blood plasma. We have developed two kits to assist in the inter- and intra-laboratory quality control of MRM experiments: the first kit tests the effectiveness of the LC/MRM-MS platform (kit #1), while the second evaluates the performance of an entire analytical workflow (kit #2). In this paper, we report the use of these kits in intra- and inter-laboratory testing on 6 common LC/MS platforms. This article is part of a Special Issue entitled: Standardization and Quality Control in Proteomics.
© 2013.

Entities:  

Keywords:  Kits; LC/MS/MS; Multiple reaction monitoring; Plasma; Quantitative proteomics; Standardization

Mesh:

Substances:

Year:  2013        PMID: 23933160     DOI: 10.1016/j.jprot.2013.07.026

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  12 in total

1.  Multiple Reaction Monitoring Enables Precise Quantification of 97 Proteins in Dried Blood Spots.

Authors:  Andrew G Chambers; Andrew J Percy; Juncong Yang; Christoph H Borchers
Journal:  Mol Cell Proteomics       Date:  2015-09-04       Impact factor: 5.911

Review 2.  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

3.  Quantitative analysis of single amino acid variant peptides associated with pancreatic cancer in serum by an isobaric labeling quantitative method.

Authors:  Song Nie; Haidi Yin; Zhijing Tan; Michelle A Anderson; Mack T Ruffin; Diane M Simeone; David M Lubman
Journal:  J Proteome Res       Date:  2014-11-24       Impact factor: 4.466

4.  Serum fibronectin distinguishes the early stages of hepatocellular carcinoma.

Authors:  Hyunsoo Kim; JiYoung Park; Yongkang Kim; Areum Sohn; Injun Yeo; Su Jong Yu; Jung-Hwan Yoon; Taesung Park; Youngsoo Kim
Journal:  Sci Rep       Date:  2017-08-25       Impact factor: 4.379

5.  Nitric oxide mediated inhibition of antigen presentation from DCs to CD4+ T cells in cancer and measurement of STAT1 nitration.

Authors:  Joseph Markowitz; Jiang Wang; Zach Vangundy; Jia You; Vedat Yildiz; Lianbo Yu; Isaac P Foote; Owen E Branson; Andrew R Stiff; Taylor R Brooks; Brandon Biesiadecki; Thomas Olencki; Susheela Tridandapani; Michael A Freitas; Tracey Papenfuss; Mitch A Phelps; William E Carson
Journal:  Sci Rep       Date:  2017-11-13       Impact factor: 4.379

6.  Proteome Multimarker Panel With Multiple Reaction Monitoring-Mass Spectrometry for Early Detection of Hepatocellular Carcinoma.

Authors:  Injoon Yeo; Gi-Ae Kim; Hyunsoo Kim; Ji Hyeon Lee; Areum Sohn; Geum-Youn Gwak; Jeong-Hoon Lee; Young-Suk Lim; Youngsoo Kim
Journal:  Hepatol Commun       Date:  2020-03-13

Review 7.  Current strategies and findings in clinically relevant post-translational modification-specific proteomics.

Authors:  Oliver Pagel; Stefan Loroch; Albert Sickmann; René P Zahedi
Journal:  Expert Rev Proteomics       Date:  2015-05-08       Impact factor: 3.940

8.  COPD Exacerbation Biomarkers Validated Using Multiple Reaction Monitoring Mass Spectrometry.

Authors:  Janice M Leung; Virginia Chen; Zsuzsanna Hollander; Darlene Dai; Scott J Tebbutt; Shawn D Aaron; Kathy L Vandemheen; Stephen I Rennard; J Mark FitzGerald; Prescott G Woodruff; Stephen C Lazarus; John E Connett; Harvey O Coxson; Bruce Miller; Christoph Borchers; Bruce M McManus; Raymond T Ng; Don D Sin
Journal:  PLoS One       Date:  2016-08-15       Impact factor: 3.240

9.  Identification of IGFBP2 and IGFBP3 As Compensatory Biomarkers for CA19-9 in Early-Stage Pancreatic Cancer Using a Combination of Antibody-Based and LC-MS/MS-Based Proteomics.

Authors:  Toshihiro Yoneyama; Sumio Ohtsuki; Kazufumi Honda; Makoto Kobayashi; Motoki Iwasaki; Yasuo Uchida; Takuji Okusaka; Shoji Nakamori; Masashi Shimahara; Takaaki Ueno; Akihiko Tsuchida; Naohiro Sata; Tatsuya Ioka; Yohichi Yasunami; Tomoo Kosuge; Takashi Kaneda; Takao Kato; Kazuhiro Yagihara; Shigeyuki Fujita; Wilber Huang; Tesshi Yamada; Masanori Tachikawa; Tetsuya Terasaki
Journal:  PLoS One       Date:  2016-08-31       Impact factor: 3.240

10.  ExSTA: External Standard Addition Method for Accurate High-Throughput Quantitation in Targeted Proteomics Experiments.

Authors:  Yassene Mohammed; Jingxi Pan; Suping Zhang; Jun Han; Christoph H Borchers
Journal:  Proteomics Clin Appl       Date:  2017-10-25       Impact factor: 3.494

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