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A scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions
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 th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458509/ https://www.ncbi.nlm.nih.gov/pubmed/28541284 http://dx.doi.org/10.1038/ncomms15586 |
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author | Schlecht, Ulrich Liu, Zhimin Blundell, Jamie R. St.Onge, Robert P. Levy, Sasha F. |
author_facet | Schlecht, Ulrich Liu, Zhimin Blundell, Jamie R. St.Onge, Robert P. Levy, Sasha F. |
author_sort | Schlecht, Ulrich |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5458509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54585092017-07-11 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. Nat Commun Article 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. Nature Publishing Group 2017-05-25 /pmc/articles/PMC5458509/ /pubmed/28541284 http://dx.doi.org/10.1038/ncomms15586 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Schlecht, Ulrich Liu, Zhimin Blundell, Jamie R. St.Onge, Robert P. Levy, Sasha F. A scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions |
title | A scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions |
title_full | A scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions |
title_fullStr | A scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions |
title_full_unstemmed | A scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions |
title_short | A scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions |
title_sort | scalable double-barcode sequencing platform for characterization of dynamic protein-protein interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458509/ https://www.ncbi.nlm.nih.gov/pubmed/28541284 http://dx.doi.org/10.1038/ncomms15586 |
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