Nature Communications (Sep 2022)
Systematic profiling of conditional degron tag technologies for target validation studies
- 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
Affiliations
- Daniel P. Bondeson
- The Broad Institute of MIT and Harvard
- Zachary Mullin-Bernstein
- The Broad Institute of MIT and Harvard
- Sydney Oliver
- The Broad Institute of MIT and Harvard
- Thomas A. Skipper
- The Broad Institute of MIT and Harvard
- Thomas C. Atack
- The Broad Institute of MIT and Harvard
- Nolan Bick
- The Broad Institute of MIT and Harvard
- Meilani Ching
- The Broad Institute of MIT and Harvard
- Andrew A. Guirguis
- The Broad Institute of MIT and Harvard
- Jason Kwon
- The Broad Institute of MIT and Harvard
- Carly Langan
- The Broad Institute of MIT and Harvard
- Dylan Millson
- The Broad Institute of MIT and Harvard
- Brenton R. Paolella
- The Broad Institute of MIT and Harvard
- Kevin Tran
- Peter MacCallum Cancer Centre
- Sarah J. Wie
- The Broad Institute of MIT and Harvard
- Francisca Vazquez
- The Broad Institute of MIT and Harvard
- Zuzana Tothova
- The Broad Institute of MIT and Harvard
- Todd R. Golub
- The Broad Institute of MIT and Harvard
- William R. Sellers
- The Broad Institute of MIT and Harvard
- Alessandra Ianari
- The Broad Institute of MIT and Harvard
- DOI
- https://doi.org/10.1038/s41467-022-33246-4
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 11
Abstract
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.
