ReviewThe Journal of pathology2009
Inferring human stem cell behaviour from epigenetic drift.
Review in The Journal of pathology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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.
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Who cites it
22 citing papers in PubMed, 52 citations in OpenAlex.
- Contribution of pksNature communications · 2023Article
- DNA methylation entropy as a measure of stem cell replication and aging.Genome biology · 2023Article
- Article
- Clonal Transitions and Phenotypic Evolution in Barrett's Esophagus.Gastroenterology · 2022Article
- Integrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics.Nature reviews. Genetics · 2021Review
- Mapping the breast cancer metastatic cascade onto ctDNA using genetic and epigenetic clonal tracking.Nature communications · 2020Article
- Epigenetic Aging: More Than Just a Clock When It Comes to Cancer.Cancer research · 2020Review
- Implications of Epigenetic Drift in Colorectal Neoplasia.Cancer research · 2019Article
- Gastric Mucosal Atrophy Impedes Housekeeping Gene Methylation in Gastric Cancer Patients.Cancer research and treatment · 2019Article
- The MiAge Calculator: a DNA methylation-based mitotic age calculator of human tissue types.Epigenetics · 2018Article
- Longitudinal analysis of colon crypt stem cell dynamics in sulindac treated Familial Adenomatous Polyposis patients.Scientific reports · 2017Article
- Contribution of epigenetic mechanisms to variation in cancer risk among tissues.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Age-related epigenetic drift and phenotypic plasticity loss: implications in prevention of age-related human diseases.Epigenomics · 2016Article
- Identification of Aging-Associated Gene Expression Signatures That Precede Intestinal Tumorigenesis.PloS one · 2016Article
- Drug discovery for alopecia: gone today, hair tomorrow.Expert opinion on drug discovery · 2015Review
- Ancestral inference in tumors: how much can we know?Journal of theoretical biology · 2014Article
- Aging and epigenetic drift: a vicious cycle.The Journal of clinical investigation · 2014Review
- Article
- Modeling evolutionary dynamics of epigenetic mutations in hierarchically organized tumors.PLoS computational biology · 2011Article
- Stem cells and their implications for colorectal cancer.Nature reviews. Gastroenterology & hepatology · 2011Review
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Although conventional experimental manipulations are impractical, it may be possible to infer human stem cell fates by 'reading' histories recorded within their genomes. Genomes are almost perfect copies of copies, and ancestries may be surreptitiously recorded by replication errors that inevitably accumulate. The greater the number of divisions, the greater the number of replication errors ('a molecular clock hypothesis'). Mutations rarely occur during a lifetime, but DNA methylation patterns are also copied after DNA replication and measurably drift with ageing at certain CpG sites in mitotic tissues, such as the colon. Such passenger methylation pattern variation may effectively function as 'epigenetic' somatic cell mitotic clocks. Replication errors can only accumulate in long-lived stem cell lineages, so methylation pattern drift largely records stem cell behaviour. How methylation patterns may encode stem cell ancestries is illustrated with two types of small reproductive units--colon crypt niches with continuous genealogies, and hair follicles with punctuated genealogies. Potentially, the genealogy of any human cell may be inferred by 'reading' its genome.
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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.