PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 4, 2026Annual Review of Chemical and Biomolecular Engineering0 citations

Advancing Genetic Code Expansion in Live Cells Through Metabolic Engineering

View Full Paper
DWD'Jana R. WyllisSGSaloni GuptaSAShelby R. Anderson

Key Points

  • The aim is to enhance genetic code expansion by addressing the limitations of sourcing nonstandard amino acids through metabolic engineering.
  • Review of recent advancements in genetic code expansion techniques.
  • Analysis of biosynthesis systems engineered within host cells.
  • Discussion of applications for synthetic biology.
  • Identification of new chemical targets through engineered biosynthesis.
  • Highlighting the combination of metabolic engineering with genetic code expansion.
  • Demonstration of the value of expanded chemical functionalities in proteins.

Abstract

Genetic code expansion (GCE) is the ability to encode polypeptide building blocks beyond the standard 20 the ribosome uses for protein translation, known as nonstandard amino acids (nsAAs). The broadening of chemical functionalities in proteins produced by live cells has generated substantial value across fundamental and applied research settings. However, a common limitation of GCE approaches is their reliance on the supplementation of chemically synthesized nsAAs to cell culture media. To overcome this limitation of nsAA sourcing, efforts have engineered systems for nsAA biosynthesis, often in the same host that performs GCE. In recent years, these works have reported new chemical targets obtained through biosynthesis, as well as additional rationale for combining metabolic engineering and GCE, particularly for synthetic biology applications. Here, we review this rapidly advancing field and provide our perspectives on technical and conceptual innovations.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wyllis et al. (2026) studied this question.

synapsesocial.com/papers/69a7ccb2d48f933b5eed85f9https://doi.org/10.1146/annurev-chembioeng-100724-081506
Ask AI
Helpful
Bookmark
Share
View Full Paper