Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, 9112001, Israel.
School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, 9190401, Israel.
Nat Commun. 2018 Nov 29;9(1):5068. doi: 10.1038/s41467-018-07466-6.
Methylation patterns of circulating cell-free DNA (cfDNA) contain rich information about recent cell death events in the body. Here, we present an approach for unbiased determination of the tissue origins of cfDNA, using a reference methylation atlas of 25 human tissues and cell types. The method is validated using in silico simulations as well as in vitro mixes of DNA from different tissue sources at known proportions. We show that plasma cfDNA of healthy donors originates from white blood cells (55%), erythrocyte progenitors (30%), vascular endothelial cells (10%) and hepatocytes (1%). Deconvolution of cfDNA from patients reveals tissue contributions that agree with clinical findings in sepsis, islet transplantation, cancer of the colon, lung, breast and prostate, and cancer of unknown primary. We propose a procedure which can be easily adapted to study the cellular contributors to cfDNA in many settings, opening a broad window into healthy and pathologic human tissue dynamics.
循环无细胞 DNA(cfDNA)的甲基化模式包含有关体内近期细胞死亡事件的丰富信息。在这里,我们提出了一种使用 25 个人体组织和细胞类型的参考甲基化图谱来确定 cfDNA 的组织来源的无偏方法。该方法通过计算机模拟以及不同组织来源的 DNA 在已知比例下的体外混合进行了验证。我们表明,健康供体的血浆 cfDNA 来源于白细胞(55%)、红细胞祖细胞(30%)、血管内皮细胞(10%)和肝细胞(1%)。从败血症、胰岛移植、结肠癌、肺癌、乳腺癌和前列腺癌以及不明原发癌患者的 cfDNA 推断出的组织贡献与临床发现一致。我们提出了一种程序,可轻松适用于在许多情况下研究 cfDNA 的细胞贡献,为健康和病理人体组织动态提供了广阔的窗口。