MultiSero: An Open-Source Multiplex-ELISA Platform for Measuring Antibody Responses to Infection

Author:

Byrum Janie R.1,Waltari Eric1ORCID,Janson Owen23,Guo Syuan-Ming1,Folkesson Jenny1,Chhun Bryant B.1,Vinden Joanna4,Ivanov Ivan E.1ORCID,Forst Marcus L.15ORCID,Li Hongquan6,Larson Adam G.7,Blackmon Lena1ORCID,Liu Ziwen1,Wu Wesley1,Ahyong Vida1,Tato Cristina M.1,McCutcheon Krista M.1,Hoh Rebecca2,Kelly J. Daniel8ORCID,Martin Jeffrey N.8,Peluso Michael J.2,Henrich Timothy J.9,Deeks Steven G.2,Prakash Manu17,Greenhouse Bryan123,Mehta Shalin B.1,Pak John E.1

Affiliation:

1. Chan Zuckerberg Biohub—San Francisco, San Francisco, CA 94158, USA

2. Division of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA

3. EPPIcenter Program, University of California, San Francisco, CA 94143, USA

4. Infectious Diseases and Immunity Graduate Program, University of California, Berkeley, CA 94720-3370, USA

5. Department of Applied Physics, Stanford University, Stanford, CA 94305, USA

6. Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA

7. Department of Bioengineering, Stanford University, Stanford, CA 94305, USA

8. Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA

9. Division of Experimental Medicine, University of California, San Francisco, CA 94110, USA

Abstract

A multiplexed enzyme-linked immunosorbent assay (ELISA) that simultaneously measures antibody binding to multiple antigens can extend the impact of serosurveillance studies, particularly if the assay approaches the simplicity, robustness, and accuracy of a conventional single-antigen ELISA. Here, we report on the development of multiSero, an open-source multiplex ELISA platform for measuring antibody responses to viral infection. Our assay consists of three parts: (1) an ELISA against an array of proteins in a 96-well format; (2) automated imaging of each well of the ELISA array using an open-source plate reader; and (3) automated measurement of optical densities for each protein within the array using an open-source analysis pipeline. We validated the platform by comparing antibody binding to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) antigens in 217 human sera samples, showing high sensitivity (0.978), specificity (0.977), positive predictive value (0.978), and negative predictive value (0.977) for classifying seropositivity, a high correlation of multiSero determined antibody titers with commercially available SARS-CoV-2 antibody tests, and antigen-specific changes in antibody titer dynamics upon vaccination. The open-source format and accessibility of our multiSero platform can contribute to the adoption of multiplexed ELISA arrays for serosurveillance studies, for SARS-CoV-2 and other pathogens of significance.

Funder

Chan Zuckerberg Biohub—San Francisco

Knight-Hennessy Scholarship

Bio-X Stanford Interdisciplinary Graduate Fellowship

Publisher

MDPI AG

Subject

Infectious Diseases,Microbiology (medical),General Immunology and Microbiology,Molecular Biology,Immunology and Allergy

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