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DEEPN as an Approach for Batch Processing of Yeast 2-Hybrid Interactions
Author(s) -
Natalya Pashkova,
Tabitha A. Peterson,
Venkatramanan Krishnamani,
Patrick Breheny,
Mark A. Stamnes,
Robert C. Piper
Publication year - 2016
Publication title -
cell reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.264
H-Index - 154
eISSN - 2639-1856
pISSN - 2211-1247
DOI - 10.1016/j.celrep.2016.08.095
Subject(s) - computational biology , yeast , saccharomyces cerevisiae , tandem affinity purification , protein–protein interaction , biology , population , plasmid , genetics , gene , biochemistry , demography , sociology , affinity chromatography , enzyme
We adapted the yeast 2-hybrid assay to simultaneously uncover multiple transient protein interactions within a single screen by using a strategy termed DEEPN (dynamic enrichment for evaluation of protein networks). This approach incorporates high-throughput DNA sequencing and computation to follow competition among a plasmid population encoding interacting partners. To demonstrate the capacity of DEEPN, we identify a wide range of ubiquitin-binding proteins, including interactors that we verify biochemically. To demonstrate the specificity of DEEPN, we show that DEEPN allows simultaneous comparison of candidate interactors across multiple bait proteins, allowing differential interactions to be identified. This feature was used to identify interactors that distinguish between GTP- and GDP-bound conformations of Rab5.

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