Title
Deep phenotypic characterization of immunization-induced antibacterial IgG repertoires in mice using a single-antibody bioassay
Date Issued
01 December 2020
Access level
open access
Resource Type
journal article
Author(s)
Heo M.
Chenon G.
Bibette J.
Bruhns P.
Griffiths A.D.
Baudry J.
Eyer K.
Institute Pasteur
Publisher(s)
Nature Research
Abstract
Antibodies with antibacterial activity need to bind to the bacterial surface with affinity, specificity, and sufficient density to induce efficient elimination. To characterize the anti-bacterial antibody repertoire, we developed an in-droplet bioassay with single-antibody resolution. The assay not only allowed us to identify whether the secreted antibodies recognized a bacterial surface antigen, but also to estimate the apparent dissociation constant (KD app) of the interaction and the density of the recognized epitope on the bacteria. Herein, we found substantial differences within the KD app/epitope density profiles in mice immunized with various species of heat-killed bacteria. The experiments further revealed a high cross-reactivity of the secreted IgG repertoires, binding to even unrelated bacteria with high affinity. This application confirmed the ability to quantify the anti-bacterial antibody repertoire and the utility of the developed bioassay to study the interplay between bacteria and the humoral response.
Volume
3
Issue
1
Language
English
OCDE Knowledge area
Tecnología médica de laboratorio (análisis de muestras, tecnologías para el diagnóstico) Biología celular, Microbiología
Scopus EID
2-s2.0-85094200205
PubMed ID
Source
Communications Biology
ISSN of the container
23993642
Sponsor(s)
This work was supported by the CELLIGO project funded by the French government through BPIFrance under the frame “Programme d’Investissements d’Avenir” (PIA), the “Institut Pierre-Gilles de Gennes” through the laboratoire d’excellence, “Investissements d’avenir” programs ANR-10-IDEX-0001-02 PSL, ANR-10-EQPX-34 and ANR-10-LABX-31, and the European Research Council (ERC)–Seventh Framework Program (ERC-2013-CoG 616050 to P.B.). E.K. acknowledges generous funding from the ‘The Branco Weiss Fellowship—Society in Science’ and received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 80336). C.C. acknowledges financial support from CONCYTEC, Peru.
Sources of information: Directorio de Producción Científica Scopus