Maximizing binary interactome mapping with a minimal number of assays.
Nat Commun
; 10(1): 3907, 2019 08 29.
Article
em En
| MEDLINE
| ID: mdl-31467278
ABSTRACT
Complementary assays are required to comprehensively map complex biological entities such as genomes, proteomes and interactome networks. However, how various assays can be optimally combined to approach completeness while maintaining high precision often remains unclear. Here, we propose a framework for binary protein-protein interaction (PPI) mapping based on optimally combining assays and/or assay versions to maximize detection of true positive interactions, while avoiding detection of random protein pairs. We have engineered a novel NanoLuc two-hybrid (N2H) system that integrates 12 different versions, differing by protein expression systems and tagging configurations. The resulting union of N2H versions recovers as many PPIs as 10 distinct assays combined. Thus, to further improve PPI mapping, developing alternative versions of existing assays might be as productive as designing completely new assays. Our findings should be applicable to systematic mapping of other biological landscapes.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Bioensaio
/
Proteoma
/
Mapeamento de Interação de Proteínas
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article