ArticleGenome research2018
Quantification of somatic mutation flow across individual cell division events by lineage sequencing.
Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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
14 citing papers in PubMed.
- Contributing factors to the oxidation-induced mutational landscape in human cells.Nature communications · 2024Article
- Article
- Startle: A star homoplasy approach for CRISPR-Cas9 lineage tracing.Cell systems · 2023Article
- Cell-type specificity of the human mutation landscape with respect to DNA replication dynamics.Cell genomics · 2023Article
- Article
- Article
- Dissecting single-cell genomes through the clonal organoid technique.Experimental & molecular medicine · 2021Review
- Stability across the Whole Nuclear Genome in the Presence and Absence of DNA Mismatch Repair.Cells · 2021Review
- Rate volatility and asymmetric segregation diversify mutation burden in cells with mutator alleles.Communications biology · 2021Article
- A validated lineage-derived somatic truth data set enables benchmarking in cancer genome analysis.Communications biology · 2020Article
- Article
- Genomic methods for measuring DNA replication dynamics.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2020Review
- Measuring single cell divisions in human tissues from multi-region sequencing data.Nature communications · 2020Article
- Recording development with single cell dynamic lineage tracing.Development (Cambridge, England) · 2019Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Mutation data reveal the dynamic equilibrium between DNA damage and repair processes in cells and are indispensable to the understanding of age-related diseases, tumor evolution, and the acquisition of drug resistance. However, available genome-wide methods have a limited ability to resolve rare somatic variants and the relationships between these variants. Here, we present lineage sequencing, a new genome sequencing approach that enables somatic event reconstruction by providing quality somatic mutation call sets with resolution as high as the single-cell level in subject lineages. Lineage sequencing entails sampling single cells from a population and sequencing subclonal sample sets derived from these cells such that knowledge of relationships among the cells can be used to jointly call variants across the sample set. This approach integrates data from multiple sequence libraries to support each variant and precisely assigns mutations to lineage segments. We applied lineage sequencing to a human colon cancer cell line with a DNA polymerase epsilon (
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Registered trials
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