Evidence map›Paper›PMID 34693026›Full record

ArticleSynthetic biology (Oxford, England)2021

Biofoundry-assisted expression and characterization of plant proteins.

Quentin M Dudley, Yao-Min Cai, Kalyani Kallam, Hubert Debreyne, Jose A Carrasco Lopez, Nicola J Patron

Abstract read
In one paragraph

Article in Synthetic biology (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Automated Genetic Engineering in the Laboratory.Methods in molecular biology (Clifton, N.J.) · 2026
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  5. Article
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  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Quentin M DudleyEngineering Biology, Earlham Institute, Norwich Research Park, Norwich, Norfolk UK.ORCID https://orcid.org/0000-0002-2987-5172
Yao-Min CaiEngineering Biology, Earlham Institute, Norwich Research Park, Norwich, Norfolk UK.
Kalyani KallamEngineering Biology, Earlham Institute, Norwich Research Park, Norwich, Norfolk UK.
Hubert DebreyneEngineering Biology, Earlham Institute, Norwich Research Park, Norwich, Norfolk UK.
Jose A Carrasco LopezEngineering Biology, Earlham Institute, Norwich Research Park, Norwich, Norfolk UK.ORCID https://orcid.org/0000-0003-3975-4961
Nicola J PatronEngineering Biology, Earlham Institute, Norwich Research Park, Norwich, Norfolk UK.ORCID https://orcid.org/0000-0002-8389-1851

Funding

Biotechnology and Biological Sciences Research Council BB/L014130/1
6 · The paper itself

Abstract

Many goals in synthetic biology, including the elucidation and refactoring of biosynthetic pathways and the engineering of regulatory circuits and networks, require knowledge of protein function. In plants, the prevalence of large gene families means it can be particularly challenging to link specific functions to individual proteins. However, protein characterization has remained a technical bottleneck, often requiring significant effort to optimize expression and purification protocols. To leverage the ability of biofoundries to accelerate design-built-test-learn cycles, we present a workflow for automated DNA assembly and cell-free expression of plant proteins that accelerates optimization and enables rapid screening of enzyme activity. First, we developed a phytobrick-compatible Golden Gate DNA assembly toolbox containing plasmid acceptors for cell-free expression using

Indexed as

automationbiofoundrycell-free protein synthesisgolden gate DNA assemblyplant biotechnology

Identifiers

PMID34693026
PMCPMC8529701

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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.