| Title |
DEEPN as an Approach for Batch Processing of Yeast 2-Hybrid Interactions
|
|---|---|
| Published in |
Cell Reports, September 2016
|
| DOI | 10.1016/j.celrep.2016.08.095 |
| Pubmed ID | |
| Authors | |
| 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. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 44 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Researcher | 7 | 15% |
| Student > Bachelor | 6 | 13% |
| Student > Master | 4 | 9% |
| Other | 3 | 7% |
| Other | 8 | 17% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 33% |
| Agricultural and Biological Sciences | 10 | 22% |
| Arts and Humanities | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 10 | 22% |