2024 Biomarkers of Aging Conference

Reveal the power of the 6-base genome: introducing duet multiomics solution evoC
1 November 2024
to 2 November 2024
The Joseph B. Martin Conference Center, Harvard Medical School
, Boston

About the event

Join biomodal at this two-day in-person conference at Harvard Medical School. Day 1 will cover cutting-edge academic science and day 2 will focus on translational, clinical, and regulatory science. The conference aims to bridge the gap between basic scientists, clinicians, regulators, and industry. Providing a platform for discussing new findings and facilitating networking among academic and translational researchers, industry professionals, regulators, and funders.

Presenting at the event

Measuring genetics, 5- mC and 5- hmC at single- base resolution

Mark Consugar

Associate Director of Scientific Affairs

biomodal

Poster n. 44

The predominant cytosine modification in DNA is methylcytosine (5mC) This base appears to exert a profound impact on gene expression patterns and is commonly linked to transcriptional repression. The introduction of hydroxymethylation (5hmC) adds a new layer of complexity to the conventional comprehension of DNA methylation dynamics, which is often thought to correlate with gene expression. Constrained to measuring four states of information, existing NGS- basedtechnologies sacrifice genetic information for modification calling without distinguishing between these two important modification states. Genetic and methylation data combined together presents a unique opportunity to measure these cytosine modifications against gene expression. duet multiomics solution evoC is a new sequencing technology that resolves all four genetic bases alongside the ability to distinguish modification status of cytosines, discriminating 5mC from 5hmC (6 base calling). The technology consists of pre- sequencing library prep with enzymatic conversion of DNA together with an analysis pipeline, achieving base resolution of genetics and epigenetics at high accuracy. Here we present the method, alongside a high-depth sequencing analysis of mouse embryonic stem cells. We demonstrate the potential of epigenetic modifications encoded in DNA to predict other important potential modulators of gene expression such as open chromatin and enhancer states as well as RNA expression itself.

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Attending from biomodal

Mark Consugar
Field Application Scientist Lead

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Biomarkers of Aging 1-2Nov24

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