ArticleNature communications2020
Measuring single cell divisions in human tissues from multi-region sequencing data.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed, 88 citations in OpenAlex.
- Trial
- Article
- Comprehensive Genomic Analysis of Normal and Cancer Cells Elucidates the Elevated Mutational Burden in Cancer.Cancer research · 2026Article
- The Evolution of Polyclonal Competition in Aging Hematopoiesis.Cancer discovery · 2026Article
- Tisa-cel and axi-cel CAR structure influences the development of resistance to CD19-CAR-T therapy.Leukemia · 2026Article
- Agent-Based Simulations of Lung Tumor Evolution Suggest That Ongoing Cell Competition Drives Realistic Clonal Expansions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- DNA damage responses in HCMV infection: emerging mechanisms and outstanding questions.Journal of virology · 2026Review
- LeafRank: A phylodynamic framework for inferring relative fitness from single-cell phylogenies in chromosomally unstable tumors.bioRxiv : the preprint server for biology · 2026Article
- Targeted deep sequencing identifies mosaicism in patients with immune dysregulation.The Journal of allergy and clinical immunology · 2026Article
- Selective sweep probabilities in spatially expanding populations.Nature communications · 2026Article
- Phylodynamics of Somatic Evolution: A Likelihood-Based Approach for Cellular Reproduction.Molecular biology and evolution · 2026Article
- Full spatio-temporal analyses of migration and colonization in evolution-dense 3D mapping of cancer metastases provides new insights.Molecular biology and evolution · 2026Article
- Review
- Bayesian inference of fitness landscapes via tree-structured branching processes.Bioinformatics (Oxford, England) · 2025Article
- Single-cell mutational burden distributions in birth-death processes.PLoS computational biology · 2025Article
- Identifying genetic errors of immunity due to mosaicism.The Journal of experimental medicine · 2025Review
- Quantifying cell divisions along evolutionary lineages in cancer.Nature genetics · 2025Article
- Backtracking Cell Phylogenies in the Human Brain with Somatic Mosaic Variants.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Article
- Neuropathologically directed profiling of PRNP somatic and germline variants in sporadic human prion disease.Acta neuropathologica · 2024Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
Both normal tissue development and cancer growth are driven by a branching process of cell division and mutation accumulation that leads to intra-tissue genetic heterogeneity. However, quantifying somatic evolution in humans remains challenging. Here, we show that multi-sample genomic data from a single time point of normal and cancer tissues contains information on single-cell divisions. We present a new theoretical framework that, applied to whole-genome sequencing data of healthy tissue and cancer, allows inferring the mutation rate and the cell survival/death rate per division. On average, we found that cells accumulate 1.14 mutations per cell division in healthy haematopoiesis and 1.37 mutations per division in brain development. In both tissues, cell survival was maximal during early development. Analysis of 131 biopsies from 16 tumours showed 4 to 100 times increased mutation rates compared to healthy development and substantial inter-patient variation of cell survival/death rates.
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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.