Evidence map›Paper›PMID 36968650›Full record

ArticleEngineering biology2021

Optimising protein synthesis in cell-free systems, a review.

Angelo C Batista, Paul Soudier, Manish Kushwaha, Jean-Loup Faulon

Abstract read
In one paragraph

Article in Engineering biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Proteome-wide analysis of protein stability in Escherichia coli under acid stress.Journal of industrial microbiology & biotechnology · 2026
    Article
  5. Review
  6. A Lactose-BasedChem & bio engineering · 2025
    Article
  7. Article
  8. Reconstituting alternative life using the test-bed of cell-free systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Applications of cell free protein synthesis in protein design.Protein science : a publication of the Protein Society · 2024
    Review
  16. Review
  17. Review
  18. Article
  19. A Cost-EffectiveBioengineering (Basel, Switzerland) · 2024
    Article
  20. Establishing a Cell-Free Transcription-Translation Platform forACS biomaterials science & engineering · 2023
    Article
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

4 authors.

Angelo C BatistaUniversité Paris-Saclay INRAE AgroParisTech Micalis Institute Jouy-en-Josas France.ORCID https://orcid.org/0000-0003-0161-8462
Paul SoudierUniversité Paris-Saclay INRAE AgroParisTech Micalis Institute Jouy-en-Josas France.
Manish KushwahaUniversité Paris-Saclay INRAE AgroParisTech Micalis Institute Jouy-en-Josas France.ORCID https://orcid.org/0000-0002-8850-3272
Jean-Loup FaulonUniversité Paris-Saclay INRAE AgroParisTech Micalis Institute Jouy-en-Josas France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decades, cell-free systems have been extensively used for in vitro protein expression. A vast range of protocols and cellular sources varying from prokaryotes and eukaryotes are now available for cell-free technology. However, exploiting the maximum capacity of cell free systems is not achieved by using traditional protocols. Here, what are the strategies and choices one can apply to optimise cell-free protein synthesis have been reviewed. These strategies provide robust and informative improvements regarding transcription, translation and protein folding which can later be used for the establishment of individual best cell-free reactions per lysate batch.

Indexed as

biochemistrycellular biophysicsmolecular biophysicsproteins

Identifiers

PMID36968650
PMCPMC9996726

What OpenQuestion holds

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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.