Evidence map›Paper›PMID 41359183›Full record

ReviewCellular and molecular life sciences : CMLS2025

Reconstructing the lifelong history of cells and tissues via somatic mutation analysis.

Sipontina Faienza, Jean Piero Margaria, Irene Franco

Abstract readReview
In one paragraph

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.

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. Article
  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

3 authors.

Sipontina FaienzaUniversità Vita-Salute San Raffaele, Milan, 20132, Italy.
Jean Piero MargariaUniversità Vita-Salute San Raffaele, Milan, 20132, Italy.
Irene FrancoUniversità Vita-Salute San Raffaele, Milan, 20132, Italy. franco.irene@hsr.it.ORCID http://orcid.org/0000-0002-4272-239X

Funding

Associazione Italiana per la Ricerca sul Cancro 25736Fondazione Cariplo 2021-1503HORIZON EUROPE European Research Council 101163219-IDENTIKIT
6 · The paper itself

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.

Indexed as

AgingMutationAnimalsDNA Mutational AnalysisHumansNeoplasmsAgingGenomeSingle cellSomatic mutation

Identifiers

PMID41359183
PMCPMC12686324

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.