ReviewCellular and molecular life sciences : CMLS2025
Reconstructing the lifelong history of cells and tissues via somatic mutation analysis.
Review in Cellular and molecular life sciences : CMLS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Clonal Dynamics After Allogeneic Hematopoietic Stem Cell Transplantation from Related Donors: A Case Series.International journal of molecular sciences · 2026Article
- DeepGene-BC: Deep Learning-Based Breast Cancer Subtype Prediction via Somatic Point Mutation Profiles.Cancers · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
During a lifetime, normal cells accumulate thousands of changes in their genome sequence. These changes, termed somatic mutations, have mostly been studied in the context of cancer, but their presence in normal tissues is ubiquitous and widespread. Somatic mutation accompanies the aging process and is influenced by genetic and environmental factors. Differently from gene expression or imaging data, which fluctuate over time, somatic variants are non-reversible marks in the genome and accumulate over time. This property can be exploited to track the history of a cell, from conception to old age, providing information that cannot be acquired via classical histological tissue inspection nor other types of omics data. Mutations can track embryonic development, measure how clones compete in a tissue over time, or report the mutational processes active in cells and tissues throughout life. We discuss selected examples and emphasize how somatic mutation analysis can enable expanding applications at the service of physiology and cell biology, as well as a deeper understanding of the aging process.
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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.