Evidence map›Paper›PMID 39763762›Full record

ArticlebioRxiv : the preprint server for biology2024

Combined biosynthesis and site-specific incorporation of phenylalanine derivatives from aryl aldehydes or carboxylic acids in engineered bacteria.

Shelby R Anderson, Abigail P Spangler, Michaela A Jones, Roman M Dickey, Aditya M Kunjapur

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Shelby R AndersonORCID 0000-0001-7806-5347
Abigail P Spangler
Michaela A Jones
Roman M Dickey
Aditya M KunjapurORCID 0000-0001-6869-9530

Funding

Chemistry-Biology Interface Predoctoral Training Grant 2024-2029T32GM133395 · NIGMS · UNIVERSITY OF DELAWARE · PI Catherine Leimkuhler Grimes · 2019 to 2026
$3.7M
NIGMS NIH HHS T32 GM133395
6 · The paper itself

Abstract

Applications of genetic code expansion in live cells are widespread and continually emerging, yet they have been limited by their reliance on the supplementation of non-standard amino acids (nsAAs) to cell culturing media. While advances in cell-free biocatalysis are improving nsAA synthesis cost and sustainability, such processes remain reliant on multi-step processes of product isolation followed by supplementation to engineered cells. Here, we report the design of a modular and genetically encoded system that combines the steps of biosynthesis of diverse phenylalanine derivatives, which are the most frequently used family of nsAAs for genetic code expansion, and their site-specific incorporation within target proteins using a single engineered bacterial host. Unlike previous demonstrations in which individual nsAAs were targeted for biosynthesis and site-specific incorporation, our system serves as a platform that exhibits broad substrate specificity towards commercially ubiquitous, achiral building blocks of aryl aldehydes or carboxylic acids. We demonstrate that this modular system enables high fidelity biosynthesis and incorporation of nsAAs for multiple industrially relevant nsAAs, such as the incorporation of 4,4-L-biphenylalanine within proteins after supplementation with biphenylaldehyde and the incorporation of 4-azido-L-phenylalanine within proteins after supplementation with 4-azido-benzoic acid. Finally, we show that the combination of nsAA biosynthesis and incorporation steps can extend the chemical reach of the intrinsic biological containment strategy of synthetic auxotrophy from nsAAs to low-cost and achiral building blocks. We anticipate that our system will aid industrial-scale manufacturing of proteins that contain nsAAs and democratize access to expensive or commercially unavailable chemistries for labs that lack separations or synthesis expertise.

Identifiers

PMID39763762
PMCPMC11702638

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.