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Cited by 386

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A General Chemical Method to Regulate Protein Stability in the Mammalian Central Nervous System

Open access
Iwamoto, Mari, Björklund, Tomas, Lundberg, Cecilia, Kirik, Deniz, Wandless, Thomas J.·2010·Chemistry & Biology

Abstract

SUMMARY The ability to make specific perturbations to biological molecules in a cell or organism is a central experimental strategy in modern research biology. We have developed a general technique in which the stability of a specific protein is regulated by a cell-permeable small molecule. Mutants of the E. coli dihydrofolate reductase (ecDHFR) were engineered to be degraded, and when this destabilizing domain is fused to a protein of interest, its instability is conferred to the fused protein resulting in rapid degradation of the entire fusion protein. A small-molecule ligand trimethoprim (TMP) stabilizes the destabilizing domain in a rapid, reversible, and dose-dependent manner, and protein levels in the absence of TMP are barely detectable. The ability of TMP to cross the blood-brain barrier enables the tunable regulation of proteins expressed in the mammalian central nervous system.

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Crossref · 10.1016/j.chembiol.2010.07.009

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Metadata

Authors
Iwamoto, M., Björklund, T., Lundberg, C., Kirik, D., & Wandless, T. J.
Venue
Chemistry & Biology
Publisher
Elsevier BV
Published
2010-09
Volume
17
Issue
9
Pages
981-988
ISSN
1074-5521 (ISSN-L)
OpenAlex
W2105582260
Cited by
386
References
3
FWCI
4.96
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A General Chemical Method to Regulate Protein Stability in the Mammalian Central Nervous System. https://app.cochat.ai/papers/10.1016/j.chembiol.2010.07.009
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Iwamoto, M., Björklund, T., Lundberg, C., Kirik, D., & Wandless, T. J. (2010). A General Chemical Method to Regulate Protein Stability in the Mammalian Central Nervous System. Chemistry & Biology. https://doi.org/10.1016/j.chembiol.2010.07.009

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.