ReviewNature reviews. Genetics2025
Advances in single-cell DNA sequencing enable insights into human somatic mosaicism.
Review in Nature reviews. Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Somatic mosaicism in the brain: linking development, ageing and neurodegeneration.Nature reviews. Neurology · 2026Review
- Human genetics across levels of biological organization.Nature reviews. Genetics · 2026Review
- Short-Read Sequencing Benchmarking with Donor-Specific Assemblies.bioRxiv : the preprint server for biology · 2026Article
- Clonal evolution and mutational trajectories of metastatic colorectal cancer shaped by anticancer therapies.Nature communications · 2026Article
- Charting single-cell lineages with synthetic and natural barcodes.Nature reviews. Genetics · 2026Review
- What sets the mutation rate of a cell type in an animal species?PLoS biology · 2026Article
- DIAG: A Framework for Evaluating Whole-Genome Amplification Quality in Single-Cell SNV Analysis.Biology · 2026Article
- Unravelling genome-wide mosaic microsatellite mutations at single-cell resolution.bioRxiv : the preprint server for biology · 2026Article
- Analysis of microsatellite instability intensity in single-cell resolution with scMnT reveals tumor heterogeneity in colorectal cancer.Briefings in bioinformatics · 2026Article
- Morphogen Gradients as Drivers of Mosaicism During Early Human Development.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Single-cell omics in tumor lymph node metastasis: mechanisms and therapeutic implications.Molecular cancer · 2026Review
- Single-Cell Genomics and Somatic Variation in Circulating and Cardiac Resident Cells.Circulation research · 2026Review
- What sets the mutation rate of a cell type in an animal species?bioRxiv : the preprint server for biology · 2025Article
- Benchmarking of duplex sequencing approaches to reveal somatic mutation landscapes.bioRxiv : the preprint server for biology · 2025Article
- Paired plus-minus sequencing is an ultra-high throughput and accurate method for dual strand sequencing of DNA molecules.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
DNA sequencing from bulk or clonal human tissues has shown that genetic mosaicism is common and contributes to both cancer and non-cancerous disorders. However, single-cell resolution is required to understand the full genetic heterogeneity that exists within a tissue and the mechanisms that lead to somatic mosaicism. Single-cell DNA-sequencing technologies have traditionally trailed behind those of single-cell transcriptomics and epigenomics, largely because most applications require whole-genome amplification before costly whole-genome sequencing. Now, recent technological and computational advances are enabling the use of single-cell DNA sequencing to tackle previously intractable problems, such as delineating the genetic landscape of tissues with complex clonal patterns, of samples where cellular material is scarce and of non-cycling, postmitotic cells. Single-cell genomes are also revealing the mutational patterns that arise from biological processes or disease states, and have made it possible to track cell lineage in human tissues. These advances in our understanding of tissue biology and our ability to identify disease mechanisms will ultimately transform how disease is diagnosed and monitored.
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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.