Evidence map›Paper›PMID 41032600›Full record

ArticleScience advances2025

AI-directed gene fusing prolongs the evolutionary half-life of synthetic gene circuits.

Itamar Menuhin-Gruman, Matan Arbel-Groissman, Doron Naki, Shaked Bergman, Tamir Tuller

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Itamar Menuhin-GrumanDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0001-5394-6949
Matan Arbel-GroissmanShmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0003-3415-9098
Doron NakiShmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0009-0004-4810-5431
Shaked BergmanDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0001-6013-2214
Tamir TullerDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0003-4194-7068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary instability is a persistent challenge in synthetic biology, often leading to the loss of heterologous gene expression over time. Here, we present STABLES, a gene fusion strategy that links a gene of interest (GOI) to an essential endogenous gene (EG), with a "leaky" stop codon in between. This ensures both selective pressure against deleterious mutations and the high expression of the GOI. By leveraging a machine learning framework, we predict optimal GOI-EG pairs on the basis of bioinformatic and biophysical features, identify linkers likely to minimize protein misfolding, and optimize DNA sequences for stability and expression. Experimental validation in

Indexed as

Artificial IntelligenceEvolution, MolecularGene Regulatory NetworksGenes, SyntheticSynthetic BiologyHumansSaccharomyces cerevisiae

Identifiers

PMID41032600
PMCPMC12487889

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.