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Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease

ABSTRACT: Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease

PROVIDER: PRJNA503732 | ENA |

REPOSITORIES: ENA

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Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease

Project description:Genome wide DNA methylation profiling of 59 cfDNA samples, 27 isolated cell populations used in deconvolution of cfDNA samples, and 15 samples used as technical controls.

2018-11-04 | GSE122126 | GEO

Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease.

Project description: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.

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CelFiE: Comprehensive cell type decomposition of circulating cell-free DNA

Project description:CelFiE: Comprehensive cell type decomposition of circulating cell-free DNA

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CelFiE: Comprehensive cell type decomposition of circulating cell-free DNA

Project description:Circulating cell-free DNA (cfDNA) in the bloodstream originates from dying cells and is a promising non-invasive biomarker for cell death. Here, we propose an algorithm, CelFiE, to accurately estimate relative abundances of cell types and tissues contributing to cfDNA from epigenetic cfDNA sequencing. In contrast to previous work, CelFiE accommodates low coverage data, does not rely on CpG site curation, and estimates contributions from multiple unknown cell types that are not available in external reference data. In simulations, CelFiE accurately estimates known and unknown cell type proportions from low coverage and noisy cfDNA mixtures, including from rare cell types composing less than 1% of the total mixture. In a positive control of cfDNA extracted from pregnant and non-pregnant women, CelFiE correctly estimates a large placenta component specifically in pregnant women (p = 4.5x10^-5). In cfDNA from ALS patients and age-matched controls, we observed increased cfDNA concentrations in ALS patients (p = 5.0x10^-3), and CelFiE identified a corresponding increased skeletal muscle component (p = 2.4x10^-3), consistent with muscle impairment characterizing ALS. Together these results show CelFiE may be a useful tool for biomarker discovery and monitoring of degenerative disease progression.

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A single cell atlas of circulating immune cells involved in diabetic retinopathy

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Circulating, cell-free methylated DNA reveals cellular sources of allograft injury after liver transplant (LTR cell-free DNA)

Project description:Molecular biomarkers to monitor changes after liver transplant are essential to reveal mechanisms of injury, guide clinical decision-making and improve patient outcomes. Current approaches have limited scope and are unable to differentiate between host and graft amongst the causes of graft injury. Here, we utilize circulating, cell-free methylated DNA released from dying cells to monitor cellular damages after liver transplant impacting the graft tissue as well as host organs. We expand existing cell-type-specific DNA methylation atlases curated from whole-genome bisulfite sequencing (WGBS) of healthy tissues to characterize liver cell-types relevant to injury progression and tissue repair. Liver cell-type-specific methylation blocks are validated through multi-omic data integration and found to be enriched in open chromatin and regulatory regions functionally important for the respective cell populations. Cell-free DNA (cfDNA) fragments were captured from patient serum by hybridization to CpG-rich DNA panels and mapped to the expanded DNA methylation atlases to inform tissue origins of cell types. We profiled 135 blood samples collected from 44 liver transplant patients at serial time points before and after transplant. We found that liver transplant initially results in multi-tissue cellular damage that subsequently recovers in patients with graft acceptance during the first post-operative week. Further, we show that sustained elevation of hepatocyte and biliary epithelial cfDNA beyond the first week is indicative of early-onset graft injury. Most notably, cfDNA composition can differentiate amongst causes of graft injury. Thus, cell-free methylated DNA can detect cellular damages and prompt early intervention.

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Comprehensive cell type decomposition of circulating cell-free DNA with CelFiE.

Project description:Circulating cell-free DNA (cfDNA) in the bloodstream originates from dying cells and is a promising noninvasive biomarker for cell death. Here, we propose an algorithm, CelFiE, to accurately estimate the relative abundances of cell types and tissues contributing to cfDNA from epigenetic cfDNA sequencing. In contrast to previous work, CelFiE accommodates low coverage data, does not require CpG site curation, and estimates contributions from multiple unknown cell types that are not available in external reference data. In simulations, CelFiE accurately estimates known and unknown cell type proportions from low coverage and noisy cfDNA mixtures, including from cell types composing less than 1% of the total mixture. When used in two clinically-relevant situations, CelFiE correctly estimates a large placenta component in pregnant women, and an elevated skeletal muscle component in amyotrophic lateral sclerosis (ALS) patients, consistent with the occurrence of muscle wasting typical in these patients. Together, these results show how CelFiE could be a useful tool for biomarker discovery and monitoring the progression of degenerative disease.

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