| Title: |
Systematic profiling of conditional degron tag technologies for target validation studies |
| Authors: |
Daniel P. Bondeson, Zachary Mullin-Bernstein, Sydney Oliver, Thomas A. Skipper, Thomas C. Atack, Nolan Bick, Meilani Ching, Andrew A. Guirguis, Jason Kwon, Carly Langan, Dylan Millson, Brenton R. Paolella, Kevin Tran, Sarah J. Wie, Francisca Vazquez, Zuzana Tothova, Todd R. Golub, William R. Sellers, Alessandra Ianari |
| Source: |
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022) |
| Publisher Information: |
Nature Portfolio, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Science |
| Subject Terms: |
Science |
| More Details: |
Conditional Degron Tags are a valuable tool to validate and study novel therapeutic targets. Here, the authors compared 5 orthogonal tags across 16 unique proteins and provide a panel of vectors for users to systematically screen the tags with their own protein of interest. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2041-1723 |
| Relation: |
https://doaj.org/toc/2041-1723 |
| DOI: |
10.1038/s41467-022-33246-4 |
| Access URL: |
https://doaj.org/article/3e22ee8eab4c40c2a32562f1d4989057 |
| Accession Number: |
edsdoj.3e22ee8eab4c40c2a32562f1d4989057 |
| Database: |
Directory of Open Access Journals |
