Decoding cell replicational age from single-cell ATAC-seq records

Decoding cell replicational age from single-cell ATAC-seq records
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Nature Biotechnology (2024)Cite this article

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The replicational age of single cells provides a temporal reference for tracking cell destiny transition trajectories. The computational framework EpiTrace measures cell age the usage of single-cell ATAC-seq records, specifically by brooding about chromatin accessibility at clock-relish genomic loci, enabling the reconstruction of the historical past of developmental and pathological processes.

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Fig. 1: EpiTrace estimates cell age from scATAC records.

References

  1. Weng, C. et al. Deciphering cell states and genealogies of human haematopoiesis. Nature 627389–398 (2024). This paper studies that excessive-option single-cell phylogeny will be resolved by the usage of error-corrected somatic mutation profiling on the mitochondrial genome.

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  2. Trapp, A. et al. Profiling epigenetic age in single cells. Nat. Ageing 11189–1201 (2021). This paper studies a bioinformatic methodology to unravel cell replicational age from single-cell DNA methylation sequencing datasets.

    Article PubMed PubMed Central Google Student

  3. Ding, J. et al. Temporal modelling the usage of single-cell transcriptomics. Nat. Rev. Genet. 23355–368 (2022). This Overview article discusses the prognosis and modeling of single-cell RNA sequencing records from chronologically defined sequence of samples.

    Article CAS PubMed PubMed Central Google Student

  4. Horvath, S. DNA methylation age of human tissues and cell forms. Genome Biol. 14R115 (2013). This paper studies that DNA methylation on ClockDML will be feeble as a in vogue clock for human age.

    Article PubMed PubMed Central Google Student

  5. Thurman, R. E. et al. The accessible chromatin landscape of the human genome. Nature 48975–82 (2012). This paper studies the inverse relationship between DNA methylation and chromatin accessibility.

    Article CAS PubMed PubMed Central Google Student

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Here’s a abstract of: Xiao, Y. et al. Monitoring single-cell evolution the usage of clock-relish chromatin accessibility loci. Nat. Biotechnol. https://doi.org/10.1038/s41587-024-02241-z (2024).

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Decoding cell replicational age from single-cell ATAC-seq records. Nat Biotechnol (2024). https://doi.org/10.1038/s41587-024-02256-6

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  • DOI: https://doi.org/10.1038/s41587-024-02256-6

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