Evidence map›Paper›PMID 40967915›Full record

ReviewJournal of microbiology and biotechnology2025

Automated and Programmable Cell-Free Systems for Scalable Synthetic Biology with a Focus on Biofoundry Integration.

Ji-Su Jun, Sujin Hong, Jun-Hong Park, Jonghyeok Shin, Dae-Hee Lee

Abstract readReview
In one paragraph

Review in Journal of microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. 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

5 authors.

Ji-Su JunSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Sujin HongSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Jun-Hong ParkSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Jonghyeok ShinSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Dae-Hee LeeSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-free protein synthesis (CFPS) has been used as a transformative technology in synthetic biology, providing a programmable, scalable, and automation-compatible platform for biological engineering. Freed from the limitations of cell viability and growth, CFPS enables rapid design iteration, precise control of reaction conditions, and high-throughput experimentation. Recent integration of CFPS with biofoundries-automated, high-throughput biological engineering platforms-has dramatically accelerated the Design-Build-Test-Learn cycle, facilitating applications such as enzyme engineering, metabolic pathway prototyping, biosensor development, and remote biomanufacturing. Advances in automation technologies, including liquid-handling robotics and digital microfluidics, have further enhanced the scalability and reproducibility of CFPS workflows. Additionally, coupling CFPS with machine learning has enabled predictive optimization of genetic constructs and biosynthetic systems. This review highlights the technological innovations driving the convergence of CFPS and automated biofoundries, outlining current capabilities, challenges, and future directions toward programmable, scalable, and distributed biological engineering.

Indexed as

AutomationProtein BiosynthesisSynthetic BiologyBiosensing TechniquesCell-Free SystemMachine LearningMetabolic EngineeringRoboticsautomationbiofoundryCell-free protein synthesishigh-throughput screeningprogrammable biological engineeringsynthetic biology

Identifiers

PMID40967915
PMCPMC12463565

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.