Evidence map›Paper›PMID 29858606›Full record

ReviewNature reviews. Molecular cell biology2018

Designing cell function: assembly of synthetic gene circuits for cell biology applications.

Mingqi Xie, Martin Fussenegger

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed, 1 pooled it
–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

153 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Logic-Gated HSV-TK/GCV Suicide Gene Circuit for Triple-Negative Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Bacteria as living biosensors for DNA.Nature reviews bioengineering · 2026
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Rethinking governance of synthetic cells.Frontiers in bioengineering and biotechnology · 2026
    Article
  20. Review

93 more citing papers are in PubMed but not listed here.

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

2 authors.

Mingqi XieDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Martin FusseneggerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. fussenegger@bsse.ethz.ch.ORCID 0000-0001-8545-667X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic biology is the discipline of engineering application-driven biological functionalities that were not evolved by nature. Early breakthroughs of cell engineering, which were based on ectopic (over)expression of single sets of transgenes, have already had a revolutionary impact on the biotechnology industry, regenerative medicine and blood transfusion therapies. Now, we require larger-scale, rationally assembled genetic circuits engineered to programme and control various human cell functions with high spatiotemporal precision in order to solve more complex problems in applied life sciences, biomedicine and environmental sciences. This will open new possibilities for employing synthetic biology to advance personalized medicine by converting cells into living therapeutics to combat hitherto intractable diseases.

Indexed as

AnimalsBiotechnologyCell CommunicationCell EngineeringGene Expression RegulationGene Regulatory NetworksGenes, SyntheticGenetic EngineeringHumansSynthetic Biology

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.