Optimization of a deep mutational scanning workflow to improve quantification of mutation effects on protein-protein interactions.
BMC Genomics
; 25(1): 630, 2024 Jun 24.
Article
em En
| MEDLINE
| ID: mdl-38914936
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.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Fluxo de Trabalho
/
Mutação
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article