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Flow cytometric evaluation of yeast-bacterial cell-cell interactions.
Lei, Ming; Trivedi, Vikas D; Nair, Nikhil U; Lee, Kyongbum; Van Deventer, James A.
Afiliação
  • Lei M; Department of Chemical and Biological Engineering, Tufts University, Medford, Massachusetts, USA.
  • Trivedi VD; Department of Chemical and Biological Engineering, Tufts University, Medford, Massachusetts, USA.
  • Nair NU; Department of Chemical and Biological Engineering, Tufts University, Medford, Massachusetts, USA.
  • Lee K; Department of Chemical and Biological Engineering, Tufts University, Medford, Massachusetts, USA.
  • Van Deventer JA; Department of Chemical and Biological Engineering, Tufts University, Medford, Massachusetts, USA.
Biotechnol Bioeng ; 120(2): 399-408, 2023 02.
Article em En | MEDLINE | ID: mdl-36259110
Synthetic cell-cell interaction systems can be useful for understanding multicellular communities or for screening binding molecules. We adapt a previously characterized set of synthetic cognate nanobody-antigen pairs to a yeast-bacteria coincubation format and use flow cytometry to evaluate cell-cell interactions mediated by binding between surface-displayed molecules. We further use fluorescence-activated cell sorting to enrich a specific yeast-displayed nanobody within a mixed yeast-display population. Finally, we demonstrate that this system supports the characterization of a therapeutically relevant nanobody-antigen interaction: a previously discovered nanobody that binds to the intimin protein expressed on the surface of enterohemorrhagic Escherichia coli. Overall, our findings indicate that the yeast-bacteria format supports efficient evaluation of ligand-target interactions. With further development, this format may facilitate systematic characterization and high-throughput discovery of bacterial surface-binding molecules.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Escherichia coli Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Escherichia coli Idioma: En Ano de publicação: 2023 Tipo de documento: Article