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• W4285611379 endingPage "200" @default.
• W4285611379 startingPage "183" @default.
• W4285611379 abstract "AbstractBlood 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.Key wordsCOVID-19SARS-CoV-2Affinity captureAntibodyLiquid chromatographyMass spectrometryLC-MSBiomarker" @default.
• W4285611379 created "2022-07-16" @default.
• W4285611379 creator A5012919903 @default.
• W4285611379 creator A5054634762 @default.
• W4285611379 date "2022-01-01" @default.
• W4285611379 modified "2023-10-03" @default.
• W4285611379 title "Antibody-Based Affinity Capture Combined with LC-MS Analysis for Identification of COVID-19 Disease Serum Biomarkers" @default.
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• W4285611379 doi "https://doi.org/10.1007/978-1-0716-2395-4_14" @default.
• W4285611379 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35838961" @default.
• W4285611379 hasPublicationYear "2022" @default.
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