ArticleNature communications2023
Modelling genetic stability in engineered cell populations.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Systems engineering of engineered live biotherapeutics: A discovery-to-translation framework for streamlining microbiome therapeutic development.Journal of controlled release : official journal of the Controlled Release Society · 2026Review
- Burden-aware feedback control of microbial consortia.Nature communications · 2026Article
- Current and emerging approaches to manage chronic inflammatory gut disorders.Frontiers in cellular and infection microbiology · 2026Review
- AI-directed gene fusing prolongs the evolutionary half-life of synthetic gene circuits.Science advances · 2025Article
- Genetic controllers for enhancing the evolutionary longevity of synthetic gene circuits in bacteria.Nature communications · 2025Article
- Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025Review
- Model-guided gene circuit design for engineering genetically stable cell populations in diverse applications.Journal of the Royal Society, Interface · 2025Article
- Engineered bacteria as living therapeutics: Next-generation precision tools for health, industry, environment, and agriculture.AIMS microbiology · 2025Review
- Engineering a Novel Probiotic Toolkit inACS synthetic biology · 2024Article
- Genomic barcoding for clonal diversity monitoring and control in cell-based complex antibody production.Scientific reports · 2024Article
- Cell Identification, Characterization, and Documentation for Use in the Production of Biological Products.Archives of Razi Institute · 2024Review
- A coarse-grained bacterial cell model for resource-aware analysis and design of synthetic gene circuits.Nature communications · 2024Article
- Competition and evolutionary selection among core regulatory motifs in gene expression control.Nature communications · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
Abstract
Predicting the evolution of engineered cell populations is a highly sought-after goal in biotechnology. While models of evolutionary dynamics are far from new, their application to synthetic systems is scarce where the vast combination of genetic parts and regulatory elements creates a unique challenge. To address this gap, we here-in present a framework that allows one to connect the DNA design of varied genetic devices with mutation spread in a growing cell population. Users can specify the functional parts of their system and the degree of mutation heterogeneity to explore, after which our model generates host-aware transition dynamics between different mutation phenotypes over time. We show how our framework can be used to generate insightful hypotheses across broad applications, from how a device's components can be tweaked to optimise long-term protein yield and genetic shelf life, to generating new design paradigms for gene regulatory networks that improve their functionality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.