ArticleProceedings of the National Academy of Sciences of the United States of America2022
Homeostasis limits keratinocyte evolution.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Epithelial competition determines gene therapy potential to suppress Fanconi Anemia oral cancer risk.PLoS computational biology · 2025Article
- The role of environmentally mediated drug resistance in facilitating the spatial distribution of residual disease.Communications biology · 2025Article
- Article
- Epithelial competition determines gene therapy potential to suppress Fanconi Anemia oral cancer risk.bioRxiv : the preprint server for biology · 2025Article
- Absence of Langerhans cells resulted in over-influx of neutrophils and increased bacterial burden in skin wounds.Cell death & disease · 2024Article
- A seven-step guide to spatial, agent-based modelling of tumour evolution.Evolutionary applications · 2024Review
- Mutation divergence over space in tumour expansion.Journal of the Royal Society, Interface · 2023Article
- Agent-based methods facilitate integrative science in cancer.Trends in cell biology · 2023Review
- Gattaca: Base-Pair Resolution Mutation Tracking for Somatic Evolution Studies using Agent-based Models.Molecular biology and evolution · 2022Article
- EvoFreq: visualization of the Evolutionary Frequencies of sequence and model data.BMC bioinformatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Recent studies have revealed that normal human tissues accumulate many somatic mutations. In particular, human skin is riddled with mutations, with multiple subclones of variable sizes. Driver mutations are frequent and tend to have larger subclone sizes, suggesting selection. To begin to understand the histories encoded by these complex somatic mutations, we incorporated genomes into a simple agent-based skin-cell model whose prime directive is homeostasis. In this model, stem-cell survival is random and dependent on proximity to the basement membrane. This simple homeostatic skin model recapitulates the observed log-linear distributions of somatic mutations, where most mutations are found in increasingly smaller subclones that are typically lost with time. Hence, neutral mutations are "passengers" whose fates depend on the random survival of their stem cells, where a rarer larger subclone reflects the survival and spread of mutations acquired earlier in life. The model can also maintain homeostasis and accumulate more frequent and larger driver subclones if these mutations (NOTCH1 and TP53) confer relatively higher persistence in normal skin or during tissue damage (sunlight). Therefore, a relatively simple model of epithelial turnover indicates how observed passenger and driver somatic mutations could accumulate without violating the prime directive of homeostasis in normal human tissues.
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.