4.8 Review

How B-Cell Receptor Repertoire Sequencing Can Be enriched with Structural Antibody Data

Journal

FRONTIERS IN IMMUNOLOGY
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2017.01753

Keywords

Ig-seq; antibody modeling; B cell; Antibodies; Developability; computational modeling; Next-generation sequencing

Categories

Funding

  1. Biotechnology and Biological Sciences Research Council (BBSRC) [BB/M011224/1]
  2. NIHR Oxford Biomedical Research Centre
  3. Swiss National Science Foundation through an Ambizione-SCORE grant
  4. Olga Mayenfisch Foundation Zurich
  5. Bangerter-Rhyner Foundation Basel
  6. UCB Pharma Ltd
  7. BBSRC [1801486] Funding Source: UKRI

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Next-generation sequencing of immunoglobulin gene repertoires (Ig-seq) allows the investigation of large-scale antibody dynamics at a sequence level. However, structural information, a crucial descriptor of antibody binding capability, is not collected in Ig-seq protocols. Developing systematic relationships between the antibody sequence information gathered from Ig-seq and low-throughput techniques such as X-ray crystallography could radically improve our understanding of antibodies. The mapping of Ig-seq datasets to known antibody structures can indicate structurally, and perhaps functionally, uncharted areas. Furthermore, contrasting naive and antigenically challenged datasets using structural antibody descriptors should provide insights into antibody maturation. As the number of antibody structures steadily increases and more and more Ig-seq datasets become available, the opportunities that arise from combining the two types of information increase as well. Here, we review how these data types enrich one another and show potential for advancing our knowledge of the immune system and improving antibody engineering.

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