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Chickens with a Truncated Light Chain Transgene Express Single-Domain H Chain-Only Antibodies.

Philip A LeightonKathryn H ChingKevin ReynoldsChristine N VuongBaisen ZengYulei ZhangAbheepsa GuptaJacqueline MoralesGerry Sann RiveraDevendra B SrivastavaRobyn CotterDarlene PedersenEllen CollariniShelley IzquierdoMarie-Cecile van de LavoirWilliam Harriman
Published in: Journal of immunology (Baltimore, Md. : 1950) (2024)
H chain-only Igs are naturally produced in camelids and sharks. Because these Abs lack the L chain, the Ag-binding domain is half the size of a traditional Ab, allowing this type of Ig to bind to targets in novel ways. Consequently, the H chain-only single-domain Ab (sdAb) structure has the potential to increase the repertoire and functional range of an active humoral immune system. The majority of vertebrates use the standard heterodimeric (both H and L chains) structure and do not produce sdAb format Igs. To investigate if other animals are able to support sdAb development and function, transgenic chickens (Gallus gallus) were designed to produce H chain-only Abs by omitting the L chain V region and maintaining only the LC region to serve as a chaperone for Ab secretion from the cell. These birds produced 30-50% normal B cell populations within PBMCs and readily expressed chicken sequence sdAbs. Interestingly, the H chains contained a spontaneous CH1 deletion. Although no isotype switching to IgY or IgA occurred, the IgM repertoire was diverse, and immunization with a variety of protein immunogens rapidly produced high and specific serum titers. mAbs of high affinity were efficiently recovered by single B cell screening. In in vitro functional assays, the sdAbs produced by birds immunized against SARS-CoV-2 were also able to strongly neutralize and prevent viral replication. These data suggest that the truncated L chain design successfully supported sdAb development and expression in chickens.
Keyphrases
  • sars cov
  • immune response
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  • mesenchymal stem cells
  • machine learning
  • coronavirus disease
  • big data
  • transcription factor
  • climate change
  • long non coding rna
  • high throughput sequencing