
Genetic alterations do not represent the full picture of gene expression or cellular function changes that are observable during oncogenesis. Epigenetic mechanisms influence gene activity without changing the DNA sequence and include DNA methylation, which is associated with gene silencing of tumor suppressor or DNA repair genes. DNA methylation is a stable, heritable, covalent modification to DNA, occurring mainly at CpG dinucleotides, but is also found at non-CpG sites. Interrogating DNA methylation degree can be challenging in FFPE and liquid biopsy samples, amplifying the need for robust, reliable solutions that work with low-input samples. QIAGEN’s Sample to Insight solutions for epigenetics applications address these challenges to deliver reliable data and powerful insights.
What’s new in the world of epigenetics?
Hypomethylation vs. hypermethylation
Targeted methylation sequencing
Fastest workflow with the lowest sample input for methylation analysis
- High performance from tissue, FFPE and liquid biopsy samples with just 1–10 ng of DNA input
- Go from DNA to data analysis in one day
- Integrated analysis workflows for the non-bioinformatics researcher
- Flexibility to customize or fully design panels to your project
Are you seeing a true variant or a false positive?
Each bisulfite-treated DNA molecule is tagged with a unique molecular index (UMI) before amplification. During analysis, PCR duplicates and false positives are removed to give an accurate methylation profile.
Watch the latest webinars on methylation analysis
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Unlock liquid biopsy samples with NGS-based methylation detection from 10 ng DNAIn this new webinar, we introduce a novel, highly sensitive and faster NGS-based approach to targeted methylation detection using the QIAseq Targeted and Custom Methyl Panels.
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Streamlining analysis of targeted NGS methylation data using QIAGEN CLC Genomics Workbench softwareIn this webinar, we describe additional aspects of our Sample to Insight solution, focusing on the analysis and visualization of targeted methyl panel data using QIAGEN CLC Genomics Workbench software.
All photos taken prior to COVID-19