De Novo MS/MS Sequencing of Native Human Antibodies

peer-reviewed · Journal of Proteome Research · 2017

peer-reviewed · Journal of Proteome Research · 2017. Adrian Guthals et al. One direct route for the discovery of therapeutic human monoclonal antibodies (mAbs) involves the isolation…
Date 2017-01-06
Type peer-reviewed
Venue Journal of Proteome Research
Publisher American Chemical Society (ACS)
Contribution downstream-application
DOI 10.1021/acs.jproteome.6b00608
Citations (OpenAlex) 60
Venue 2-year citedness 3.83

Abstract

One direct route for the discovery of therapeutic human monoclonal antibodies (mAbs) involves the isolation of peripheral B cells from survivors/sero-positive individuals after exposure to an infectious reagent or disease etiology, followed by single-cell sequencing or hybridoma generation. Peripheral B cells, however, are not always easy to obtain and represent only a small percentage of the total B-cell population across all bodily tissues. Although it has been demonstrated that tandem mass spectrometry (MS/MS) techniques can interrogate the full polyclonal antibody (pAb) response to an antigen in vivo, all current approaches identify MS/MS spectra against databases derived from genetic sequencing of B cells from the same patient. In this proof-of-concept study, we demonstrate the feasibility of a novel MS/MS antibody discovery approach in which only serum antibodies are required without the need for sequencing of genetic material. Peripheral pAbs from a cytomegalovirus-exposed individual were purified by glycoprotein B antigen affinity and de novo sequenced from MS/MS data. Purely MS-derived mAbs were then manufactured in mammalian cells to validate potency via antigen-binding ELISA. Interestingly, we found that these mAbs accounted for 1 to 2% of total donor IgG but were not detected in parallel sequencing of memory B cells from the same patient.

Authors

  1. Adrian Guthals · Abterra Biosciences (United States), Mapp Biopharmaceutical (United States), Mapp Biopharmaceutical, Inc., University of California San Diego, University of California System
  2. Yutian Gan · Genentech, Inc.
  3. Laura Murray · Genentech, Inc.
  4. Yongmei Chen · Genentech, Inc.
  5. Jeremy Stinson · Genentech, Inc.
  6. Gerald Nakamura · Genentech, Inc.
  7. Jennie R. Lill · Genentech, Inc.
  8. Wendy Sandoval · Genentech, Inc.
  9. Nuno Bandeira · University of California San Diego, University of California System

Methods and tools

Data deposited

Cites (9)

Cited by (35)

Seen in the charts

Back to the full map

Back to top