Boers, R. G. | bioRxiv Science

bioRxiv2021

High throughput and affordable genome-wide methylation profiling of circulating cell-free DNA by Methylated DNA sequencing (MeD-seq) of LpnPI digested fragments

BackgroundDNA methylation detection in liquid biopsies provides a highly promising and much needed means for real-time monitoring of disease load in advanced cancer patient care. Compared to the often-used somatic mutations, tissue- and cancer-type specific epigenetic marks affect a larger part of the cancer genome and generally have a high penetrance throughout the tumour. Here we describe the successful application of the recently described MeD-seq assay for genome-wide DNA methylation profiling on cell-free DNA (cfDNA). The compatibility of the MeD-seq assay with different types of blood collection tubes, cfDNA input amounts, cfDNA isolation methods, and vacuum-concentration of samples was evaluated using plasma from both metastatic cancer patients and healthy blood donors (HBDs). To investigate the potential value of cfDNA methylation profiling for tumour load monitoring, we profiled paired samples from 8 patients with resectable colorectal liver metastases (CRLM) before and after surgery. ResultsThe MeD-seq assay worked on plasma-derived cfDNA from both EDTA and CellSave blood collection tubes when at least 10 ng of cfDNA was used. From the 3 evaluated cfDNA isolation methods, both the manual QIAamp Circulating Nucleic Acid Kit (Qiagen) and the semi-automated Maxwell(R) RSC ccfDNA Plasma Kit (Promega) were compatible with MeD-seq analysis, whereas the QIAsymphony DSP Circulating DNA Kit (Qiagen) yielded significantly fewer reads when compared to the QIAamp kit (P<0.001). Vacuum-concentration of samples before MeD-seq analysis was possible with samples in AVE buffer (QIAamp) or water, but yielded inconsistent results for samples in EDTA-containing Maxwell buffer. Principal component analysis showed that pre-surgical samples from CRLM patients were very distinct from HBDs, whereas post-surgical samples were more similar. Several described methylation markers for colorectal cancer monitoring in liquid biopsies showed differential methylation between pre-surgical CRLM samples and HBDs in our data, supporting the validity of our approach. Results for MSC, ITGA4, GRIA4, and EYA4, were validated by quantitative methylation specific PCR. ConclusionsThe MeD-seq assay provides a promising new method for cfDNA methylation profiling. Potential future applications of the assay include marker discovery specifically for liquid biopsy analysis as well as direct use as a disease load monitoring tool in advanced cancer patients.

genomics↗

bioRxiv2021

Genetic and epigenetic determinants of reactivation of Mecp2 and the inactive X chromosome in neural stem cells.

Rett Syndrome is a neurodevelopmental disorder in girls that is caused by heterozygous inactivation of the chromatin remodeler gene MECP2. Rett Syndrome may therefore be treated by reactivation of the wild type copy of MECP2 from the inactive X chromosome. Most studies that model Mecp2 reactivation have used mouse fibroblasts rather than neural cells, which would be critical for phenotypic reversal, and rely on fluorescent reporters that lack adequate sensitivity. Here, we present a mouse model system for monitoring Mecp2 reactivation that is more sensitive and versatile than any bioluminescent and fluorescent system currently available. The model consists of neural stem cells derived from female mice with a dual reporter system where MECP2 is fused to NanoLuciferase and TdTomato on the inactive X chromosome. We show by bioluminescence and fluorescence that Mecp2 is synergistically reactivated by 5-Aza treatment and Xist knockdown. As expected, other genes on the inactive X chromosome are also reactivated, the majority of which overlaps with genes reactivated early during reprogramming of mouse embryonic fibroblasts to iPSCs. Genetic and epigenetic features such as CpG density, SINE elements, distance to escapees and CTCF binding are consistent indicators of reactivation, whereas different higher order chromatin areas are either particularly prone or resistant to reactivation. Our MeCP2 reactivation monitoring system thereby suggests that genetic and epigenetic features on the inactive X chromosome affect reactivation of its genes, irrespective of cell type or procedure of reactivation.

molecular biology↗