Broadcast Date: November 14, 2019
Time: 8:00 am PT, 11:00 am ET, 17:00 CET

Single B cell screening methods, which seek to sample the natural antibody repertoire without the need for hybridoma fusion and combinatorial display, have emerged as efficient antibody discovery technologies. Many such methods use fluorescence to determine binding of antibody to antigen, which limits the number of antigens against which single B cells can be screened efficiently. In this GEN webinar, we will discuss LIBRA-seq, which determines antibody specificity using a next-generation sequencing-based readout. B cells are mixed with a panel of DNA-barcoded antigens, such that both the antigen barcode(s) and B-cell receptor (BCR) sequences of individual B cells are recovered via single-cell sequencing protocols, such as the 10x Genomics’ Single Cell V(D)J Solution. After first validating LIBRA-seq on B cell lines expressing known BCRs, we used this technology to screen B cells from human HIV-infection samples against large libraries of viral antigens and identified diverse panels of antibodies, including new broadly neutralizing antibodies. We expect the ability to interrogate antibody-antigen interactions using a sequencing-based readout to be indispensable to the fields of immune profiling and antibody discovery.

We will address three main areas in this webinar:

  • How LIBRA-seq can be used for high-throughput interrogation of antibody-antigen interactions using single-cell sequencing.
  • The application of LIBRA-Seq to screen B cells from human HIV-infection samples against large libraries of viral antigens for antibody discovery.
  • The identification of a new broadly neutralizing HIV-1 antibody.

A live Q&A session will follow the presentations, offering you a chance to pose questions to our expert panelists.

 

Produced with support from:
10x Genomics logo

 

 

Ian Setliff

Ian Setliff
PhD Candidate
Vanderbilt University

The post Antibody Discovery and B Cell Profiling Using Single Cell Immune Sequencing appeared first on GEN – Genetic Engineering and Biotechnology News.

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