Liquid biopsies are transforming precision medicine by providing non-invasive insights into health and disease. Wasatch BioLabs’ Direct Methylation Sequencing (dMS) for cfDNA addresses traditional methods limitations with optimized protocols and native nanopore sequencing, delivering precision, data with unmatched resolution and reliability.
Accurately analyzing methylation from fragmented, low-concentration cfDNA is one of the greatest challenges of liquid biopsies. Traditional workflows introduce biases, damage DNA, and compromise the integrity of critical methylation signals.
With advanced DNA repair techniques, Wasatch BioLabs’ proprietary library preparation methods preserve native cfDNA methylation integrity, enabling:
Analyze up to 24 samples per flow cell for scalable research and clinical applications.
Simultaneously capture cfDNA methylation patterns and high-resolution genomic data for comprehensive insights.
Detect analyze complex cfDNA methylation signatures to optimize sensitivity and specificity.
Leverage streamlined protocols tailored for fragmented and degraded cfDNA.
Designed to meet the needs of research and clinical assay development, dMS for cfDNA delivers customizable and scalable multi-omic solutions that advance biomarker discovery, epigenetic studies, and precision medicine. Additional highlights include:
Wasatch BioLabs’ dMS for cfDNA expands opportunities in biomarker discovery, multi-omics research, and clinical development by delivering comprehensive cfDNA insights without the limitations of traditional methylation technologies.
This client case study demonstrates how dMS can precisely identify cfDNA cell of origin by analyzing unique, cell-specific methylation signatures. In neurodegenerative disorders like Alzheimer’s disease, dying neurons release cfDNA into circulation. Identifying the cell of origin may provide critical insights into disease mechanisms and progression. To learn more:
Wasatch BioLabs introduces MethylSeqR, a user-friendly R package that simplifies the transition from methylation arrays to dWMS. MethylSeqR utilizes proprietary .CH3 files, which compress data by up to 95%, streamlining both analysis and storage.
Seamlessly integrating with familiar pipelines, MethylSeqR makes advanced methylation analysis accessible to both newcomers and experienced users of nanopore sequencing, accelerating research and clinical applications.
Perform genome-wide methylation analyses in record time.
Analyses in just three steps: Import Data, Run QC, and Analyze.
Compress 20 GB outputs to 1 GB, optimizing storage and transfer.
Process large-scale tasks seamlessly with on-disk database support.
(A) Positional Summary
(B) Summaries By Region
