Unknown

Dataset Information

0

Measuring the sequence-affinity landscape of antibodies with massively parallel titration curves.


ABSTRACT: Despite the central role that antibodies play in the adaptive immune system and in biotechnology, much remains unknown about the quantitative relationship between an antibody's amino acid sequence and its antigen binding affinity. Here we describe a new experimental approach, called Tite-Seq, that is capable of measuring binding titration curves and corresponding affinities for thousands of variant antibodies in parallel. The measurement of titration curves eliminates the confounding effects of antibody expression and stability that arise in standard deep mutational scanning assays. We demonstrate Tite-Seq on the CDR1H and CDR3H regions of a well-studied scFv antibody. Our data shed light on the structural basis for antigen binding affinity and suggests a role for secondary CDR loops in establishing antibody stability. Tite-Seq fills a large gap in the ability to measure critical aspects of the adaptive immune system, and can be readily used for studying sequence-affinity landscapes in other protein systems.

SUBMITTER: Adams RM 

PROVIDER: S-EPMC5268739 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Measuring the sequence-affinity landscape of antibodies with massively parallel titration curves.

Adams Rhys M RM   Mora Thierry T   Walczak Aleksandra M AM   Kinney Justin B JB  

eLife 20161230


Despite the central role that antibodies play in the adaptive immune system and in biotechnology, much remains unknown about the quantitative relationship between an antibody's amino acid sequence and its antigen binding affinity. Here we describe a new experimental approach, called Tite-Seq, that is capable of measuring binding titration curves and corresponding affinities for thousands of variant antibodies in parallel. The measurement of titration curves eliminates the confounding effects of  ...[more]

Similar Datasets

| S-EPMC2910068 | biostudies-literature
| S-EPMC2677894 | biostudies-other
| S-EPMC2444025 | biostudies-literature
| S-EPMC5666806 | biostudies-literature
2019-06-03 | GSE132064 | GEO
| S-EPMC9129155 | biostudies-literature
| S-EPMC4522773 | biostudies-literature
| S-EPMC5931506 | biostudies-literature
| S-EPMC8415370 | biostudies-literature
2022-12-16 | GSE202530 | GEO