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A scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions.
Schlecht, Ulrich; Liu, Zhimin; Blundell, Jamie R; St Onge, Robert P; Levy, Sasha F.
Afiliação
  • Schlecht U; Stanford Genome Technology Center, Stanford University, 3165 Porter Drive, Palo Alto, Calfornia 94304, USA.
  • Liu Z; Department of Biochemistry, Stanford University School of Medicine, Stanford, California 94305, USA.
  • Blundell JR; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794-5252, USA.
  • St Onge RP; Department of Biochemistry and Cellular Biology, Stony Brook University, Stony Brook, New York 11794-5215, USA.
  • Levy SF; Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York 11794-5252, USA.
Nat Commun ; 8: 15586, 2017 05 25.
Article em En | MEDLINE | ID: mdl-28541284
ABSTRACT
Several large-scale efforts have systematically catalogued protein-protein interactions (PPIs) of a cell in a single environment. However, little is known about how the protein interactome changes across environmental perturbations. Current technologies, which assay one PPI at a time, are too low throughput to make it practical to study protein interactome dynamics. Here, we develop a highly parallel protein-protein interaction sequencing (PPiSeq) platform that uses a novel double barcoding system in conjunction with the dihydrofolate reductase protein-fragment complementation assay in Saccharomyces cerevisiae. PPiSeq detects PPIs at a rate that is on par with current assays and, in contrast with current methods, quantitatively scores PPIs with enough accuracy and sensitivity to detect changes across environments. Both PPI scoring and the bulk of strain construction can be performed with cell pools, making the assay scalable and easily reproduced across environments. PPiSeq is therefore a powerful new tool for large-scale investigations of dynamic PPIs.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Mapeamento de Interação de Proteínas / Código de Barras de DNA Taxonômico / Mapas de Interação de Proteínas Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Mapeamento de Interação de Proteínas / Código de Barras de DNA Taxonômico / Mapas de Interação de Proteínas Idioma: En Ano de publicação: 2017 Tipo de documento: Article