Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Using genetically incorporated unnatural amino acids to control protein functions in mammalian cells

Nodling, Alexander R., Spear, Luke A., Williams, Thomas L., Luk, Louis Y.P. ORCID: and Tsai, Yu-Hsuan ORCID: 2019. Using genetically incorporated unnatural amino acids to control protein functions in mammalian cells. Essays in Biochemistry 63 (2) , pp. 237-266. 10.1042/EBC20180042

[thumbnail of 237.full.pdf]
PDF - Published Version
Available under License Creative Commons Attribution.

Download (4MB) | Preview


Genetic code expansion allows unnatural (non-canonical) amino acid incorporation into proteins of interest by repurposing the cellular translation machinery. The development of this technique has enabled site-specific incorporation of many structurally and chemically diverse amino acids, facilitating a plethora of applications, including protein imaging, engineering, mechanistic and structural investigations, and functional regulation. Particularly, genetic code expansion provides great tools to study mammalian proteins, of which dysregulations often have important implications in health. In recent years, a series of methods has been developed to modulate protein function through genetically incorporated unnatural amino acids. In this review, we will first discuss the basic concept of genetic code expansion and give an up-to-date list of amino acids that can be incorporated into proteins in mammalian cells. We then focus on the use of unnatural amino acids to activate, inhibit, or reversibly modulate protein function by translational, optical or chemical control. The features of each approach will also be highlighted.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Chemistry
Cardiff Catalysis Institute (CCI)
Publisher: Portland Press
ISSN: 0071-1365
Funders: BBSRC and the Wellcome Trust
Date of First Compliant Deposit: 20 May 2019
Date of Acceptance: 19 March 2019
Last Modified: 22 May 2023 19:36

Citation Data

Cited 46 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics