1. Optimization of a deep mutational scanning workflow to improve quantification of mutation effects on protein–protein interactions
- Author
-
Alexandra M Bendel, Kristjana Skendo, Dominique Klein, Kenji Shimada, Kotryna Kauneckaite-Griguole, and Guillaume Diss
- Subjects
Deep mutational scanning ,Protein-protein interactions ,High-throughput assay ,Non-linearity ,Method optimization ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Deep Mutational Scanning (DMS) assays are powerful tools to study sequence-function relationships by measuring the effects of thousands of sequence variants on protein function. During a DMS experiment, several technical artefacts might distort non-linearly the functional score obtained, potentially biasing the interpretation of the results. We therefore tested several technical parameters in the deepPCA workflow, a DMS assay for protein–protein interactions, in order to identify technical sources of non-linearities. We found that parameters common to many DMS assays such as amount of transformed DNA, timepoint of harvest and library composition can cause non-linearities in the data. Designing experiments in a way to minimize these non-linear effects will improve the quantification and interpretation of mutation effects.
- Published
- 2024
- Full Text
- View/download PDF