Literature DB >> 32040572

Protein Biomarker Quantification by Immunoaffinity Liquid Chromatography-Tandem Mass Spectrometry: Current State and Future Vision.

Hendrik Neubert1, Christopher M Shuford2, Timothy V Olah3, Fabio Garofolo4, Gary A Schultz5, Barry R Jones6, Lakshmi Amaravadi7, Omar F Laterza8, Keyang Xu9, Bradley L Ackermann10.   

Abstract

Immunoaffinity-mass spectrometry (IA-MS) is an emerging analytical genre with several advantages for profiling and determination of protein biomarkers. Because IA-MS combines affinity capture, analogous to ligand binding assays (LBAs), with mass spectrometry (MS) detection, this platform is often described using the term hybrid methods. The purpose of this report is to provide an overview of the principles of IA-MS and to demonstrate, through application, the unique power and potential of this technology. By combining target immunoaffinity enrichment with the use of stable isotope-labeled internal standards and MS detection, IA-MS achieves high sensitivity while providing unparalleled specificity for the quantification of protein biomarkers in fluids and tissues. In recent years, significant uptake of IA-MS has occurred in the pharmaceutical industry, particularly in the early stages of clinical development, enabling biomarker measurement previously considered unattainable. By comparison, IA-MS adoption by CLIA laboratories has occurred more slowly. Current barriers to IA-MS use and opportunities for expanded adoption are discussed. The path forward involves identifying applications for which IA-MS is the best option compared with LBA or MS technologies alone. IA-MS will continue to benefit from advances in reagent generation, more sensitive and higher throughput MS technologies, and continued growth in use by the broader analytical community. Collectively, the pursuit of these opportunities will secure expanded long-term use of IA-MS for clinical applications. © American Association for Clinical Chemistry 2020.

Year:  2020        PMID: 32040572     DOI: 10.1093/clinchem/hvz022

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  17 in total

1.  Development of an antibody-free ID-LC MS method for the quantification of procalcitonin in human serum at sub-microgram per liter level using a peptide-based calibration.

Authors:  Huu-Hien Huynh; Amandine Bœuf; Maxence Derbez-Morin; Anne-Marie Dupuy; Béatrice Lalere; Vincent Delatour; Joëlle Vinh
Journal:  Anal Bioanal Chem       Date:  2021-05-14       Impact factor: 4.142

2.  Immunoaffinity-Based Liquid Chromatography Mass Spectrometric Assay to Accurately Quantify the Protein Concentration of HMGB1 in EDTA Plasma.

Authors:  Viktoria Anselm; Andreas Steinhilber; Cornelia Sommersdorf; Oliver Poetz
Journal:  Methods Mol Biol       Date:  2021

3.  Small volume retinol binding protein measurement by liquid chromatography-tandem mass spectrometry.

Authors:  William S Phipps; Dina N Greene; Hannah Pflaum; Thomas J Laha; Jane A Dickerson; Jill Irvine; Anna E Merrill; Pratistha Ranjitkar; Clark M Henderson; Andrew N Hoofnagle
Journal:  Clin Biochem       Date:  2021-10-19       Impact factor: 3.625

4.  Dystrophin and mini-dystrophin quantification by mass spectrometry in skeletal muscle for gene therapy development in Duchenne muscular dystrophy.

Authors:  Vahid Farrokhi; Jason Walsh; Joe Palandra; Joanne Brodfuehrer; Teresa Caiazzo; Jane Owens; Michael Binks; Srividya Neelakantan; Florence Yong; Pinky Dua; Caroline Le Guiner; Hendrik Neubert
Journal:  Gene Ther       Date:  2021-11-05       Impact factor: 4.184

5.  Within-person reproducibility of proteoforms related to inflammation and renal dysfunction.

Authors:  Jie Gao; Adrian McCann; Johnny Laupsa-Borge; Ottar Nygård; Per Magne Ueland; Klaus Meyer
Journal:  Sci Rep       Date:  2022-05-06       Impact factor: 4.996

6.  Construction and Validation of a Protein Prognostic Model for Lung Squamous Cell Carcinoma.

Authors:  Xisheng Fang; Xia Liu; Chengyin Weng; Yong Wu; Baoxiu Li; Haibo Mao; Mingmei Guan; Lin Lu; Guolong Liu
Journal:  Int J Med Sci       Date:  2020-09-23       Impact factor: 3.738

7.  Systematic Optimization of the iMALDI Workflow for the Robust and Straightforward Quantification of Signaling Proteins in Cancer Cells.

Authors:  Bjoern C Froehlich; Robert Popp; Constance A Sobsey; Sahar Ibrahim; Andre M LeBlanc; Yassene Mohammed; Adriana Aguilar-Mahecha; Oliver Poetz; Michael X Chen; Alan Spatz; Mark Basik; Gerald Batist; René P Zahedi; Christoph H Borchers
Journal:  Proteomics Clin Appl       Date:  2020-08-09       Impact factor: 3.494

Review 8.  Using biochemistry and biophysics to extinguish androgen receptor signaling in prostate cancer.

Authors:  Irfan Asangani; Ian A Blair; Gregory Van Duyne; Vincent J Hilser; Vera Moiseenkova-Bell; Stephen Plymate; Cynthia Sprenger; A Joshua Wand; Trevor M Penning
Journal:  J Biol Chem       Date:  2021-01-09       Impact factor: 5.157

Review 9.  Tumor-Induced Inflammatory Cytokines and the Emerging Diagnostic Devices for Cancer Detection and Prognosis.

Authors:  Apriliana E R Kartikasari; Cesar S Huertas; Arnan Mitchell; Magdalena Plebanski
Journal:  Front Oncol       Date:  2021-07-07       Impact factor: 6.244

10.  Chemical Characterization and Quantification of Circulating Intact PTH and PTH Fragments by High-Resolution Mass Spectrometry in Chronic Renal Failure.

Authors:  Kittrawee Kritmetapak; Louis A Losbanos; Jolaine M Hines; Katherine L O'Grady; Candice Z Ulmer; Hubert W Vesper; Felicity T Enders; Ravinder J Singh; Rajiv Kumar
Journal:  Clin Chem       Date:  2021-06-01       Impact factor: 8.327

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