Strategies to Screen Anti-AQP4 Antibodies from Yeast Surface Display Libraries

Abstract

A rapid and effective method to identify disease-specific antibodies from clinical patients is important for understanding autoimmune diseases and for the development of effective disease therapies. In neuromyelitis optica (NMO), the identification of antibodies targeting the aquaporin-4 (AQP4) membrane protein traditionally involves the labor-intensive and time-consuming process of single B-cell sorting, followed by antibody cloning, expression, purification, and analysis for anti-AQP4 activity. To accelerate patient-specific antibody discovery, we compared two unique approaches for screening anti-AQP4 antibodies from yeast antibody surface display libraries. Our first approach, cell-based biopanning, has strong advantages for its cell-based display of native membrane-bound AQP4 antigens and is inexpensive and simple to perform. Our second approach, FACS screening using solubilized AQP4 antigens, permits real-time population analysis and precision sorting for specific antibody binding parameters. We found that both cell-based biopanning and FACS screening were effective for the enrichment of AQP4-binding clones. These screening techniques will enable library-scale functional interrogation of large natively paired antibody libraries for comprehensive analysis of anti-AQP4 antibodies in clinical samples and for robust therapeutic discovery campaigns.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 05, 2022
Source ID
10.3390/antib11020039

Entities

People

  • Ahmed S. Fahad
  • Antonio Frigeri
  • Aric Huang
  • Bharat Madan
  • Brandon J DeKosky
  • Brooklyn K. Mussman
  • Cory J. Berkland
  • Grazia Paola Nicchia
  • J. Daniel Griffin
  • Jeffrey L. Bennett
  • Matheus Oliveira De Souza
  • Wei Jin

Organizations

  • Air Force Office of Scientific Research
  • National Institute of Allergy and Infectious Diseases
  • National Institutes of Health

Tags

Fields of Study

  • Biology

Readers

  • Immunology
  • Molecular and Cellular Biochemistry
  • Systems Analysis and Design