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Antibody-Based Affinity Capture Combined with LC-MS Analysis for Identification of COVID-19 Disease Serum Biomarkers

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Multiplex Biomarker Techniques

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2511))

Abstract

Blood serum or plasma proteins are potentially useful in COVID-19 research as biomarkers for risk prediction, diagnosis, stratification, and treatment monitoring. However, serum protein-based biomarker identification and validation is complicated due to the wide concentration range of these proteins, which spans more than ten orders of magnitude. Here we present a combined affinity purification-liquid chromatography mass spectrometry approach which allows identification and quantitation of the most abundant serum proteins along with the nonspecifically bound and interaction proteins. This led to the reproducible identification of more than 100 proteins that were not specifically targeted by the affinity column. Many of these have already been implicated in COVID-19 disease.

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Author information

Authors and Affiliations

  1. Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil

    Paul C. Guest

  2. Department of Chemical Engineering & Biotechnology, University of Cambridge, Cambridge, UK

    Hassan Rahmoune

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  1. Paul C. Guest
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  2. Hassan Rahmoune
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Editors and Affiliations

  1. Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, University of Campinas, Campinas, Sao Paulo, Brazil

    Paul C. Guest

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Guest, P.C., Rahmoune, H. (2022). Antibody-Based Affinity Capture Combined with LC-MS Analysis for Identification of COVID-19 Disease Serum Biomarkers. In: Guest, P.C. (eds) Multiplex Biomarker Techniques. Methods in Molecular Biology, vol 2511. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2395-4_14

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  • DOI: https://doi.org/10.1007/978-1-0716-2395-4_14

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2394-7

  • Online ISBN: 978-1-0716-2395-4

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