Identification of tissue-specific cell death using methylation patterns of circulating DNA

Roni Lehmann‐Werman, Daniel Neiman, Hai Zemmour, Joshua Moss, Judith Magenheim, Adi Vaknin‐Dembinsky(Hadassah Medical Center), Sten Rubertsson(Uppsala University Hospital), Bengt Nellgård(Sahlgrenska University Hospital), Kaj Blennow(University of Gothenburg), Henrik Zetterberg(University College London), Kirsty L. Spalding(Karolinska Institutet), Michael J. Haller(University of Florida), Clive Wasserfall(University of Florida), Desmond Schatz(University of Florida), Carla J. Greenbaum(Benaroya Research Institute), Craig Dorrell(Oregon Health & Science University), Markus Grompe(Oregon Health & Science University), Aviad Zick(Hadassah Medical Center), Ayala Hubert(Hadassah Medical Center), Myriam Maoz(Hadassah Medical Center), Volker Fendrich(Philipps University of Marburg), Detlef K. Bartsch(Philipps University of Marburg), Talia Golan(Sheba Medical Center), Shmuel A. Ben Sasson, Gideon Zamir(Hadassah Medical Center), Aharon Razin, Howard Cedar, A. M. James Shapiro(University of Alberta), Benjamin Gläser(Hadassah Medical Center), Ruth Shemer, Yuval Dor
Proceedings of the National Academy of Sciences
March 14, 2016
Cited by 619Open Access
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Abstract

Minimally invasive detection of cell death could prove an invaluable resource in many physiologic and pathologic situations. Cell-free circulating DNA (cfDNA) released from dying cells is emerging as a diagnostic tool for monitoring cancer dynamics and graft failure. However, existing methods rely on differences in DNA sequences in source tissues, so that cell death cannot be identified in tissues with a normal genome. We developed a method of detecting tissue-specific cell death in humans based on tissue-specific methylation patterns in cfDNA. We interrogated tissue-specific methylome databases to identify cell type-specific DNA methylation signatures and developed a method to detect these signatures in mixed DNA samples. We isolated cfDNA from plasma or serum of donors, treated the cfDNA with bisulfite, PCR-amplified the cfDNA, and sequenced it to quantify cfDNA carrying the methylation markers of the cell type of interest. Pancreatic β-cell DNA was identified in the circulation of patients with recently diagnosed type-1 diabetes and islet-graft recipients; oligodendrocyte DNA was identified in patients with relapsing multiple sclerosis; neuronal/glial DNA was identified in patients after traumatic brain injury or cardiac arrest; and exocrine pancreas DNA was identified in patients with pancreatic cancer or pancreatitis. This proof-of-concept study demonstrates that the tissue origins of cfDNA and thus the rate of death of specific cell types can be determined in humans. The approach can be adapted to identify cfDNA derived from any cell type in the body, offering a minimally invasive window for diagnosing and monitoring a broad spectrum of human pathologies as well as providing a better understanding of normal tissue dynamics.


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