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dc.contributor.authorMoeller, ME
dc.contributor.authorMon Père, NV
dc.contributor.authorWerner, B
dc.contributor.authorHuang, W
dc.date.accessioned2024-06-25T14:52:42Z
dc.date.available2024-06-25T14:52:42Z
dc.date.issued2024-01-24
dc.identifier.citationMarius E MoellerNathaniel V Mon PèreBenjamin WernerWeini Huang (2024) Measures of genetic diversification in somatic tissues at bulk and single-cell resolution eLife 12:RP89780. https://doi.org/10.7554/eLife.89780.3en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/97696
dc.description.abstractIntra-tissue genetic heterogeneity is universal to both healthy and cancerous tissues. It emerges from the stochastic accumulation of somatic mutations throughout development and homeostasis. By combining population genetics theory and genomic information, genetic heterogeneity can be exploited to infer tissue organization and dynamics in vivo. However, many basic quantities, for example the dynamics of tissue-specific stem cells remain difficult to quantify precisely. Here, we show that single-cell and bulk sequencing data inform on different aspects of the underlying stochastic processes. Bulk-derived variant allele frequency spectra (VAF) show transitions from growing to constant stem cell populations with age in samples of healthy esophagus epithelium. Single-cell mutational burden distributions allow a sample size independent measure of mutation and proliferation rates. Mutation rates in adult hematopietic stem cells are higher compared to inferences during development, suggesting additional proliferation-independent effects. Furthermore, single-cell derived VAF spectra contain information on the number of tissue-specific stem cells. In hematopiesis, we find approximately 2 × 105 HSCs, if all stem cells divide symmetrically. However, the single-cell mutational burden distribution is over-dispersed compared to a model of Poisson distributed random mutations. A time-associated model of mutation accumulation with a constant rate alone cannot generate such a pattern. At least one additional source of stochasticity would be needed. Possible candidates for these processes may be occasional bursts of stem cell divisions, potentially in response to injury, or non-constant mutation rates either through environmental exposures or cell-intrinsic variation.en_US
dc.languageeng
dc.publishereLife Sciences Publicationsen_US
dc.relation.ispartofElife
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
dc.subjectevolutionary biologyen_US
dc.subjectevolutionary inferencesen_US
dc.subjecthealthy human tissuesen_US
dc.subjecthumanen_US
dc.subjectsamplingen_US
dc.subjectsingle-cell mutation burdenen_US
dc.subjectstem cell dynamicsen_US
dc.subjectvarient allele frequencyen_US
dc.subjectAdulten_US
dc.subjectHumansen_US
dc.subjectAdult Stem Cellsen_US
dc.subjectCell Self Renewalen_US
dc.subjectEnvironmental Exposureen_US
dc.subjectGenetic Heterogeneityen_US
dc.subjectGenomicsen_US
dc.titleMeasures of genetic diversification in somatic tissues at bulk and single-cell resolution.en_US
dc.typeArticleen_US
dc.rights.holderCopyright Moeller, Mon Père et al
dc.identifier.doi10.7554/eLife.89780
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/38265286en_US
pubs.notesNot knownen_US
pubs.publication-statusPublished onlineen_US
pubs.volume12en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderQuantifying the evolutionary dynamics of extra-chromosomal DNA in human cancers.::UKRIen_US


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