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Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics
Lineage tracing provides key insights into the fate of individual cells in complex organisms. Although effective genetic labeling approaches are available in model systems, in humans, most approaches require detection of nuclear somatic mutations, which have high error rates, limited scale, and do n...
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Published in: | Cell 2019-03, Vol.176 (6), p.1325-1339.e22 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Lineage tracing provides key insights into the fate of individual cells in complex organisms. Although effective genetic labeling approaches are available in model systems, in humans, most approaches require detection of nuclear somatic mutations, which have high error rates, limited scale, and do not capture cell state information. Here, we show that somatic mutations in mtDNA can be tracked by single-cell RNA or assay for transposase accessible chromatin (ATAC) sequencing. We leverage somatic mtDNA mutations as natural genetic barcodes and demonstrate their utility as highly accurate clonal markers to infer cellular relationships. We track native human cells both in vitro and in vivo and relate clonal dynamics to gene expression and chromatin accessibility. Our approach should allow clonal tracking at a 1,000-fold greater scale than with nuclear genome sequencing, with simultaneous information on cell state, opening the way to chart cellular dynamics in human health and disease.
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•Somatic mtDNA mutations can track cellular relationships and hierarchies in vitro•Single-cell genomic assays faithfully detect mtDNA mutations•Lineage inference can be combined with gene expression or chromatin state profiles•mtDNA mutations enable studies of clonal architecture in human health and disease
Using single-cell sequencing technologies, somatic mutations in mtDNA can be used as natural genetic barcodes to study cellular states and clonal dynamics. |
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ISSN: | 0092-8674 1097-4172 1097-4172 |
DOI: | 10.1016/j.cell.2019.01.022 |