Evidence map›Paper›PMID 37526707›Full record

ReviewAdvances in biochemical engineering/biotechnology2023

Bottom-Up Synthetic Biology Using Cell-Free Protein Synthesis.

Ke Yue, Yingqiu Li, Mengjiao Cao, Lulu Shen, Jingsheng Gu, Lei Kai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in biochemical engineering/biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Devising a divisome for synthetic cells.Nature reviews. Chemistry · 2026
    Review
  2. Article
  3. Article
  4. Artificial cells with liquid-liquid phase separation-regulated cell-free protein synthesis.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Breakthrough inActa biochimica et biophysica Sinica · 2025
    Article
  6. Article
  7. 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

6 authors.

Ke YueSchool of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Yingqiu LiSchool of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Mengjiao CaoSchool of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Lulu ShenSchool of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Jingsheng GuSchool of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Lei KaiSchool of Life Sciences, Jiangsu Normal University, Xuzhou, China. lkai@jsnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technical advances in biotechnology have greatly accelerated the development of bottom-up synthetic biology. Unlike top-down approaches, bottom-up synthetic biology focuses on the construction of a minimal cell from scratch and the application of these principles to solve challenges. Cell-free protein synthesis (CFPS) systems provide minimal machinery for transcription and translation, from either a fractionated cell lysate or individual purified protein elements, thus speeding up the development of synthetic cell projects. In this review, we trace the history of the cell-free technique back to the first in vitro fermentation experiment using yeast cell lysate. Furthermore, we summarized progresses of individual cell mimicry modules, such as compartmentalization, gene expression regulation, energy regeneration and metabolism, growth and division, communication, and motility. Finally, current challenges and future perspectives on the field are outlined.

Indexed as

Artificial CellsSynthetic BiologyBiotechnologyCell-Free SystemBottom-up synthetic biologyCell-free protein synthesisMinimal cellsSynthetic cells

Identifiers

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.