Literature DB >> 29276835

Sensitive, High-Throughput, and Robust Trapping-Micro-LC-MS Strategy for the Quantification of Biomarkers and Antibody Biotherapeutics.

Ming Zhang1,2, Bo An1,2, Yang Qu1,2, Shichen Shen1,2, Wei Fu1,2,3, Yuan-Ju Chen1,2, Xue Wang1,2, Rebeccah Young4,5, John M Canty4,5, Joseph P Balthasar1, Keeley Murphy6, Debadeep Bhattacharyya6, Jonathan Josephs6, Luca Ferrari7, Shaolian Zhou7, Surendra Bansal8, Faye Vazvaei8, Jun Qu1,2.   

Abstract

For LC-MS-based targeted quantification of biotherapeutics and biomarkers in clinical and pharmaceutical environments, high sensitivity, high throughput, and excellent robustness are all essential but remain challenging. For example, though nano-LC-MS has been employed to enhance analytical sensitivity, it falls short because of its low loading capacity, poor throughput, and <span class="Disease">low operational robustness. Furthermore, high chemical noise in protein bioanalysis typically limits the sensitivity. Here we describe a novel trapping-micro-LC-MS (T-μLC-MS) strategy for targeted protein bioanalysis, which achieves high sensitivity with exceptional robustness and high throughput. A rapid, high-capacity trapping of biological samples is followed by μLC-MS analysis; dynamic sample trapping and cleanup are performed using pH, column chemistry, and fluid mechanics separate from the μLC-MS analysis, enabling orthogonality, which contributes to the reduction of chemical noise and thus results in improved sensitivity. Typically, the selective-trapping and -delivery approach strategically removes >85% of the matrix peptides and detrimental components, markedly enhancing sensitivity, throughput, and operational robustness, and narrow-window-isolation selected-reaction monitoring further improves the signal-to-noise ratio. In addition, unique LC-hardware setups and flow approaches eliminate gradient shock and achieve effective peak compression, enabling highly sensitive analyses of plasma or tissue samples without band broadening. In this study, the quantification of 10 biotherapeutics and biomarkers in plasma and tissues was employed for method development. As observed, a significant sensitivity gain (up to 25-fold) compared with that of conventional LC-MS was achieved, although the average run time was only 8 min/sample. No appreciable peak deterioration or loss of sensitivity was observed after >1500 injections of tissue and plasma samples. The developed method enabled, for the first time, ultrasensitive LC-MS quantification of low levels of a monoclonal antibody and antigen in a tumor and cardiac troponin I in plasma after brief cardiac ischemia. This strategy is valuable when highly sensitive protein quantification in large sample sets is required, as is often the case in typical biomarker validation and pharmaceutical investigations of antibody therapeutics.

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Year:  2018        PMID: 29276835      PMCID: PMC5960441          DOI: 10.1021/acs.analchem.7b03949

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


  32 in total

Review 1.  Tissue sample preparation in bioanalytical assays.

Authors:  Kerri M Smith; Yan Xu
Journal:  Bioanalysis       Date:  2012-03       Impact factor: 2.681

Review 2.  Target-mediated drug disposition and dynamics.

Authors:  Donald E Mager
Journal:  Biochem Pharmacol       Date:  2006-02-15       Impact factor: 5.858

Review 3.  A practical guide to nano-LC troubleshooting.

Authors:  Marek Noga; Filip Sucharski; Piotr Suder; Jerzy Silberring
Journal:  J Sep Sci       Date:  2007-09       Impact factor: 3.645

4.  Antibody-free, targeted mass-spectrometric approach for quantification of proteins at low picogram per milliliter levels in human plasma/serum.

Authors:  Tujin Shi; Thomas L Fillmore; Xuefei Sun; Rui Zhao; Athena A Schepmoes; Mahmud Hossain; Fang Xie; Si Wu; Jong-Seo Kim; Nathan Jones; Ronald J Moore; Ljiljana Pasa-Tolić; Jacob Kagan; Karin D Rodland; Tao Liu; Keqi Tang; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-04       Impact factor: 11.205

Review 5.  Toward sensitive and accurate analysis of antibody biotherapeutics by liquid chromatography coupled with mass spectrometry.

Authors:  Bo An; Ming Zhang; Jun Qu
Journal:  Drug Metab Dispos       Date:  2014-09-02       Impact factor: 3.922

Review 6.  Qualitative and quantitative characterization of protein biotherapeutics with liquid chromatography mass spectrometry.

Authors:  Miao Qu; Bo An; Shichen Shen; Ming Zhang; Xiaomeng Shen; Xiaotao Duan; Joseph P Balthasar; Jun Qu
Journal:  Mass Spectrom Rev       Date:  2016-04-20       Impact factor: 10.946

7.  A rapid, reproducible, on-the-fly orthogonal array optimization method for targeted protein quantification by LC/MS and its application for accurate and sensitive quantification of carbonyl reductases in human liver.

Authors:  Jin Cao; Vanessa Gonzalez-Covarrubias; Vanessa M Covarrubias; Robert M Straubinger; Hao Wang; Xiaotao Duan; Haoying Yu; Jun Qu; Javier G Blanco
Journal:  Anal Chem       Date:  2010-04-01       Impact factor: 6.986

8.  The advantages of microflow LC-MS/MS compared with conventional HPLC-MS/MS for the analysis of methotrexate from human plasma.

Authors:  Chad C Christianson; Casey J L Johnson; Shane R Needham
Journal:  Bioanalysis       Date:  2013-06       Impact factor: 2.681

9.  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

10.  Ultra-sensitive quantification of paclitaxel using selective solid-phase extraction in conjunction with reversed-phase capillary liquid chromatography/tandem mass spectrometry.

Authors:  Haoying Yu; Robert M Straubinger; Jin Cao; Hao Wang; Jun Qu
Journal:  J Chromatogr A       Date:  2008-09-19       Impact factor: 4.759

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  5 in total

1.  Rapidly Assessing the Quality of Targeted Proteomics Experiments through Monitoring Stable-Isotope Labeled Standards.

Authors:  Bryson C Gibbons; Thomas L Fillmore; Yuqian Gao; Ronald J Moore; Tao Liu; Ernesto S Nakayasu; Thomas O Metz; Samuel H Payne
Journal:  J Proteome Res       Date:  2018-12-19       Impact factor: 4.466

Review 2.  Mass spectrometry-based targeted proteomics for analysis of protein mutations.

Authors:  Tai-Tu Lin; Tong Zhang; Reta B Kitata; Tao Liu; Richard D Smith; Wei-Jun Qian; Tujin Shi
Journal:  Mass Spectrom Rev       Date:  2021-10-31       Impact factor: 9.011

Review 3.  Current LC-MS-based strategies for characterization and quantification of antibody-drug conjugates.

Authors:  Xiaoyu Zhu; Shihan Huo; Chao Xue; Bo An; Jun Qu
Journal:  J Pharm Anal       Date:  2020-05-23

Review 4.  MS1 ion current-based quantitative proteomics: A promising solution for reliable analysis of large biological cohorts.

Authors:  Xue Wang; Shichen Shen; Sailee Suryakant Rasam; Jun Qu
Journal:  Mass Spectrom Rev       Date:  2019-03-28       Impact factor: 10.946

5.  Emerging mass spectrometry-based proteomics methodologies for novel biomedical applications.

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Journal:  Biochem Soc Trans       Date:  2020-10-30       Impact factor: 5.407

  5 in total

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