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As well as helping researchers identify tumour DNA amid the soup of regular cell-free DNA, the fact that different tissues have distinct methylation patterns can help explain where the cell-free DNA might be coming from. “There are many advantages to being able to study epigenomics in concert with genomic features,” says Dawson.
Burleen Chhatwal from University College London, UK, will demonstrate how biomodal’s 6-base genome supported the successful analysis of both 5mC and 5hmC modifications in Parkinson’s disease compared to controls in a pilot study.
Learn how 6-base sequencing reveals 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) have important roles in the regulation of genome dynamics. Deregulation of TET can spur an increase of 5hmC in heterochromatin which could potentially be an early biomarker of genome dysfunction that lead to diseases.
To address the difficulties of analysing methylation data, this poster presents modality, an efficient and scalable analysis package for 5- and 6-base genomes.
This poster demonstrates that the combination of 5mC and 5hmC is highly effective for early-stage CRC detection in cfDNA - read it now.
Deoxyribonucleic acid, or DNA, is the fundamental building block of life. Let's explore the fascinating types of DNA in the world.
Robert Osborne, PhD, Senior Vice President of Research & Development provides a high-level overview of biomodal’s bioRXiv preprint, 5mC and 5hmC are synergistic biomarkers for early detection of colorectal cancer.
Liquid biopsy represents a groundbreaking advancement in disease diagnostics, offering a less invasive alternative to traditional tissue biopsies, particularly for cancer.
Our study investigates the roles of 5‑methylcytosine (5mC) and 5‑hydroxymethylcytosine (5hmC) as biomarkers for early-stage colorectal cancer (CRC) detection in cell-free DNA (cfDNA).
The utilisation of genetic biomarkers in liquid biopsy has caused a revolution in cancer diagnostics and personalised medicine.
Here we show that the combination of resolved methylation and genomic data combined with machine-learning can generate accurate inference of gene expression (both steady-state and nascent), chromatin accessibility, and enhancer state, demonstrating the key role of 5mC and 5hmC in gene regulation.

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