Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA.
Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115, USA; Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA 02129, USA; Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA 02115, USA.
Cell. 2019 Mar 7;176(6):1325-1339.e22. doi: 10.1016/j.cell.2019.01.022. Epub 2019 Feb 28.
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.
谱系追踪为深入了解复杂生物中单个细胞的命运提供了关键见解。尽管在模式生物中存在有效的遗传标记方法,但在人类中,大多数方法都需要检测核体细胞突变,而这些方法存在错误率高、规模有限且无法捕获细胞状态信息等问题。在这里,我们证明 mtDNA 的体细胞突变可以通过单细胞 RNA 或转座酶可及染色质 (ATAC) 测序进行追踪。我们利用体细胞 mtDNA 突变作为天然遗传条形码,并证明它们可用作高度准确的克隆标记来推断细胞之间的关系。我们在体外和体内追踪天然人类细胞,并将克隆动态与基因表达和染色质可及性联系起来。我们的方法应该能够以比核基因组测序高 1000 倍的规模进行克隆追踪,同时还能提供有关细胞状态的信息,为绘制人类健康和疾病中的细胞动态开辟了道路。