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DEEPN as an Approach for Batch Processing of Yeast 2-Hybrid Interactions
Journal article   Open access   Peer reviewed

DEEPN as an Approach for Batch Processing of Yeast 2-Hybrid Interactions

Natasha Pashkova, Tabitha A Peterson, Venkatramanan Krishnamani, Patrick Breheny, Mark Stamnes and Robert C Piper
Cell reports (Cambridge), Vol.17(1), pp.303-315
09/27/2016
DOI: 10.1016/j.celrep.2016.08.095
PMCID: PMC5594928
PMID: 27681439
url
https://doi.org/10.1016/j.celrep.2016.08.095View
Published (Version of record) Open Access

Abstract

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. [Display omitted] •Parameters of the batch Y2H approach are defined•Data processing and statistical analysis software packages are outlined•A DEEPN screen identifies multiple proteins that interact with ubiquitin•A DEEPN screen differentiates proteins that bind Rab5-GTP versus Rab5-GDP Using deep sequencing to follow a highly complex library upon selection for yeast 2-hybrid interactions provides a way to compare the interactome of one protein to another in parallel. Pashkova et al. provide a comprehensive workflow complete with a bioinformatics package that makes this approach accessible to a variety of investigators.
protein interactions ubiquitin protein networks

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