<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bondeson DP</submitter><funding>NCI NIH HHS</funding><funding>Center for Strategic Scientific Initiatives, National Cancer Institute</funding><pagination>5495</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9489723</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(1)</volume><pubmed_abstract>Conditional degron tags (CDTs) are a powerful tool for target validation that combines the kinetics and reversible action of pharmacological agents with the generalizability of genetic manipulation. However, successful design of a CDT fusion protein often requires a prolonged, ad hoc cycle of construct design, failure, and re-design. To address this limitation, we report here a system to rapidly compare the activity of five unique CDTs: AID/AID2, IKZF3d, dTAG, HaloTag, and SMASh. We demonstrate the utility of this system against 16 unique protein targets. We find that expression and degradation are highly dependent on the specific CDT, the construct design, and the target. None of the CDTs leads to efficient expression and/or degradation across all targets; however, our systematic approach</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Systematic profiling of conditional degron tag technologies for target validation studies.</pubmed_title><pmcid>PMC9489723</pmcid><funding_grant_id>R01 CA233626</funding_grant_id><funding_grant_id>R35 CA242457</funding_grant_id><funding_grant_id>CA212229</funding_grant_id><funding_grant_id>K00 CA212229</funding_grant_id><funding_grant_id>CA233626</funding_grant_id><funding_grant_id>CA242457</funding_grant_id><pubmed_authors>Mullin-Bernstein Z</pubmed_authors><pubmed_authors>Sellers WR</pubmed_authors><pubmed_authors>Kwon J</pubmed_authors><pubmed_authors>Guirguis AA</pubmed_authors><pubmed_authors>Bick N</pubmed_authors><pubmed_authors>Skipper TA</pubmed_authors><pubmed_authors>Wie SJ</pubmed_authors><pubmed_authors>Bondeson DP</pubmed_authors><pubmed_authors>Atack TC</pubmed_authors><pubmed_authors>Paolella BR</pubmed_authors><pubmed_authors>Tothova Z</pubmed_authors><pubmed_authors>Ianari A</pubmed_authors><pubmed_authors>Oliver S</pubmed_authors><pubmed_authors>Vazquez F</pubmed_authors><pubmed_authors>Langan C</pubmed_authors><pubmed_authors>Tran K</pubmed_authors><pubmed_authors>Golub TR</pubmed_authors><pubmed_authors>Ching M</pubmed_authors><pubmed_authors>Millson D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Systematic profiling of conditional degron tag technologies for target validation studies.</name><description>Conditional degron tags (CDTs) are a powerful tool for target validation that combines the kinetics and reversible action of pharmacological agents with the generalizability of genetic manipulation. However, successful design of a CDT fusion protein often requires a prolonged, ad hoc cycle of construct design, failure, and re-design. To address this limitation, we report here a system to rapidly compare the activity of five unique CDTs: AID/AID2, IKZF3d, dTAG, HaloTag, and SMASh. We demonstrate the utility of this system against 16 unique protein targets. We find that expression and degradation are highly dependent on the specific CDT, the construct design, and the target. None of the CDTs leads to efficient expression and/or degradation across all targets; however, our systematic approach</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Sep</publication><modification>2026-05-31T11:03:35.194Z</modification><creation>2024-11-20T15:22:16.667Z</creation></dates><accession>S-EPMC9489723</accession><cross_references><pubmed>36127368</pubmed><doi>10.1038/s41467-022-33246-4</doi></cross_references></HashMap>