Evidence map›Paper›PMID 39202738›Full record

ReviewLife (Basel, Switzerland)2024

Xenobiology for the Biocontainment of Synthetic Organisms: Opportunities and Challenges.

Lucía Gómez-Tatay, José Miguel Hernández-Andreu

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2024. 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. Article
  2. Article
  3. Advances in adaptive laboratory evolution applications forSynthetic and systems biotechnology · 2025
    Review
  4. Review
  5. Review
  6. Review
  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

2 authors.

Lucía Gómez-TatayInstitute of Life Sciences, Universidad Católica de Valencia San Vicente Mártir, 46001 Valencia, Spain.ORCID 0000-0003-3478-9436
José Miguel Hernández-AndreuGrupo de Investigación en Medicina Molecular y Mitocondrial, Universidad Católica de Valencia San Vicente Mártir, 46001 Valencia, Spain.ORCID 0000-0002-2459-9754

Funding

Valencia Catholic University Saint Vincent Martyr UCV Ingenio 2024-109-902 to J.M.H-A.
6 · The paper itself

Abstract

Since the development of recombinant DNA technologies, the need to establish biosafety and biosecurity measures to control genetically modified organisms has been clear. Auxotrophies, or conditional suicide switches, have been used as firewalls to avoid horizontal or vertical gene transfer, but their efficacy has important limitations. The use of xenobiological systems has been proposed as the ultimate biosafety tool to circumvent biosafety problems in genetically modified organisms. Xenobiology is a subfield of Synthetic Biology that aims to construct orthogonal biological systems based on alternative biochemistries. Establishing true orthogonality in cell-based or cell-free systems promises to improve and assure that we can progress in synthetic biology safely. Although a wide array of strategies for orthogonal genetic systems have been tested, the construction of a host harboring fully orthogonal genetic system, with all parts operating in an orchestrated, integrated, and controlled manner, still poses an extraordinary challenge for researchers. In this study, we have performed a thorough review of the current literature to present the main advances in the use of xenobiology as a strategy for biocontainment, expanding on the opportunities and challenges of this field of research.

Indexed as

biocontainmentbiosafetygenetic firewallsorthogonalsynthetic biologyunnaturalxenobiology

Identifiers

PMID39202738
PMCPMC11355180

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.