Evidence map›Paper›PMID 36185432›Full record

ArticleFrontiers in bioengineering and biotechnology2022

A ubiquitous amino acid source for prokaryotic and eukaryotic cell-free transcription-translation systems.

Lakshmeesha K Nagappa, Wakana Sato, Farzana Alam, Kameshwari Chengan, Christopher M Smales, Tobias Von Der Haar, Karen M Polizzi, Katarzyna P Adamala, Simon J Moore

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. A Cost-EffectiveBioengineering (Basel, Switzerland) · 2024
    Article
  4. Natural product reports · 2023
    Review
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

9 authors.

Lakshmeesha K NagappaSchool of Biosciences, University of Kent, Canterbury, United Kingdom.
Wakana SatoDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN, United States.
Farzana AlamCentre for Synthetic Biology, Imperial College London, London, United Kingdom.
Kameshwari ChenganSchool of Biosciences, University of Kent, Canterbury, United Kingdom.
Christopher M SmalesSchool of Biosciences, University of Kent, Canterbury, United Kingdom.
Tobias Von Der HaarSchool of Biosciences, University of Kent, Canterbury, United Kingdom.
Karen M PolizziCentre for Synthetic Biology, Imperial College London, London, United Kingdom.
Katarzyna P AdamalaDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN, United States.
Simon J MooreSchool of Biosciences, University of Kent, Canterbury, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-free gene expression (CFE) systems are an attractive tool for engineering within synthetic biology and for industrial production of high-value recombinant proteins. CFE reactions require a cell extract, energy system, amino acids, and DNA, to catalyse mRNA transcription and protein synthesis. To provide an amino acid source, CFE systems typically use a commercial standard, which is often proprietary. Herein we show that a range of common microbiology rich media (i.e., tryptone, peptone, yeast extract and casamino acids) unexpectedly provide an effective and low-cost amino acid source. We show that this approach is generalisable, by comparing batch variability and protein production in the following range of CFE systems:

Indexed as

cell-free gene expressioncell-free protein synthesisindustrial biotechnologypichia pastoris cell-freeprotein productionTX-TL

Identifiers

PMID36185432
PMCPMC9524191

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.