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Protocol to determine antibody affinity and concentration in complex solutions using microfluidic antibody affinity profiling.
Emmenegger, Marc; Worth, Roland; Fiedler, Sebastian; Devenish, Sean R A; Knowles, Tuomas P J; Aguzzi, Adriano.
  • Emmenegger M; Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland. Electronic address: marc.emmenegger@usz.ch.
  • Worth R; Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK.
  • Fiedler S; Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK.
  • Devenish SRA; Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK.
  • Knowles TPJ; Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK; Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK.
  • Aguzzi A; Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland. Electronic address: adriano.aguzzi@usz.ch.
STAR Protoc ; 4(1): 102095, 2023 Feb 13.
Article in English | MEDLINE | ID: covidwho-2240517
ABSTRACT
Conventional methods of measuring affinity are limited by artificial immobilization, large sample volumes, and homogeneous solutions. This protocol describes microfluidic antibody affinity profiling on complex human samples in solution to obtain a fingerprint reflecting both affinity and active concentration of the target protein. To illustrate the protocol, we analyze the antibody response in SARS-CoV-2 omicron-naïve samples against different SARS-CoV-2 variants of concern. However, the protocol and the technology are amenable to a broad spectrum of biomedical questions. For complete details on the use and execution of this protocol, please refer to Emmenegger et al. (2022),1 Schneider et al. (2022),2 and Fiedler et al. (2022).3.
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Full text: Available Collection: International databases Database: MEDLINE Topics: Variants Language: English Journal: STAR Protoc Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Topics: Variants Language: English Journal: STAR Protoc Year: 2023 Document Type: Article