Systematic benchmarking of mass spectrometry-based antibody sequencing reveals methodological biases

Maria Chernigovskaya, Khang Lê Quý, Maria Stensland, Sachin Singh, Rowan Nelson, Melih Yilmaz, Konstantinos Kalogeropoulos, Pavel Sinitcyn, Anand Patel, Natalie Castellana, Stefano Bonissone, Stian Foss, Jan Terje Andersen, Geir Kjetil Sandve, Timothy Patrick Jenkins, William S. Noble, Tuula A. Nyman, Igor Snapkow, Victor Greiff*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The circulating antibody (Ab) repertoire is crucial for immune protection, holding significant immunological and biotechnological value. While bottom-up mass spectrometry (MS) is widely used for profiling the sequence diversity of circulating Abs (Ab repertoire sequencing [Ab-seq]), it has not been thoroughly benchmarked. We quantified the replicability and robustness of Ab-seq using six monoclonal Ab spike-ins in 70 combinations of concentration and oligoclonality, with and without polyclonal serum immunoglobulin G (IgG) background. Each combination underwent four protease treatments and was analyzed across four experimental and three technical replicates, totaling 3,360 liquid chromatography-tandem MS (LC-MS/MS) runs. We quantified the dependence of Ab-seq identification on Ab sequence, concentration, protease, presence of background IgGs, and bioinformatics methods. Integrating the data from experimental replicates, proteases, and bioinformatics tools enhanced Ab identification. De novo sequencing performed similarly to database-dependent methods at higher Ab concentrations, but de novo Ab reconstruction remains challenging. Our work provides a foundational resource for the field of MS-based Ab profiling. A record of this paper's transparent peer review process is included in the supplemental information.

Original languageEnglish
Article number101449
JournalCell Systems
Volume16
Issue number11
DOIs
Publication statusPublished - 19 Nov 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s)

Keywords

  • Ab-seq, LC-MS/MS
  • antibody
  • benchmarking
  • de novo sequencing

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