A Strong Foundation

over 10 years of peer-reviewed research

Methylation Cytometry has been developed and validated for over 10 years, with the work being referenced in peer reviewed publications thousands of times. The technology is based on the fact that epigenetic modifications, specifically those including DNA methylation, dictate how stem cells originating in bone marrow differentiate into the various immune cells circulating in the blood. DNA methylation provides a chemically stable marker for this differentiation of the cells into immune subtypes. We are thus able to distinguish immune cell subtypes in the peripheral blood using a signature or “fingerprint” of differentially methylated regions. Our Methylation Cytometry test uses a statistical algorithm for estimating blood-based immune cells solely through DNA methylation data, a process known as cell mixture deconvolution. Methylation Cytometry has become the standard for applying epigenetics to assess the immune response.

References

• Decreased NK Cells in Patients with Head and Neck Cancer Determined in Archival DNA

• Pre-surgery immune profiles of adult glioma patients

• DNA methylation as a pharmacodynamic marker of glucocorticoid response and glioma survival

• Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling

• Calculating detection limits and uncertainty of reference-based deconvolution of whole-blood DNA methylation data

• Immune profiles and DNA methylation alterations related with non-muscle-invasive bladder cancer outcomes

• Enrichment of a neutrophil-like monocyte transcriptional state in glioblastoma myeloid suppressor cells

• Comparative analysis of the DNA methylation landscape in CD4, CD8, and B memory lineages

• Interactions of Age and Blood Immune Factors and Noninvasive Prediction of Glioma Survival

• Genome-Scale Methylation Analysis Identifies Immune Profiles and Age Acceleration Associations with Bladder Cancer Outcomes

• Genome-Scale DNA Methylation Analysis Identifies Repeat Element Alterations that Modulate the Genomic Stability of Melanocytic Nevi

• Application of Novel Breast Biospecimen Cell-Type Adjustment Identifies Shared DNA Methylation Alterations in Breast Tissue and Milk with Breast Cancer-Risk Factors

• HiTAIC: hierarchical tumor artificial intelligence classifier traces tissue of origin and tumor type in primary and metastasized tumors using DNA methylation

• Detailed immune profiling in pediatric Crohn's disease using methylation cytometry

• Matched analysis of detailed peripheral blood and tumor immune microenvironment profiles in bladder cancer

• Assessment of immune cell profiles among post-menopausal women in the Women's Health Initiative using DNA methylation-based methods

• A core of differentially methylated CpG loci in gMDSCs isolated from neonatal and adult sources

• Hierarchical deconvolution for extensive cell type resolution in the human brain using DNA methylation

• HiTIMED: hierarchical tumor immune microenvironment epigenetic deconvolution for accurate cell type resolution in the tumor microenvironment using tumor-type-specific DNA methylation data

• Could Methylation Cytometry Be a Predictive Biomarker of Breast Cancer?

• Immunomethylomics: A Novel Cancer Risk Prediction Tool

• DNA methylation arrays as surrogate measures of cell mixture distribution

• Epigenetic biomarkers of T-cells in human glioma

• Cell-composition effects in the analysis of DNA methylation array data: a mathematical perspective

• Reference-free deconvolution of DNA methylation data and mediation by cell composition effects

• Blood-based profiles of DNA methylation predict the underlying distribution of cell types

• Peripheral Blood Immune Cell Methylation Profiles Are Associated with Nonhematopoietic Cancers

• DNA Methylation in Whole Blood: Uses and Challenges

• DNA Methylation-Derived Neutrophil-to Lymphocyte Ratio: An Epigenetic Tool to Explore Cancer Inflammation and Outcomes

• Peripheral blood DNA methylation profiles are indicative of head and neck squamous cell carcinoma: An epigenome-wide association study

• The DNA methylation profile of activated human natural killer cells

• Leukocyte-adjusted epigenome-wide association studies of blood from solid tumor patients

• Understanding the Role of the Immune System in the Development of Cancer: New Opportunities for Population-Based Research

• Immunomethylomic approach to explore the blood neutrophil lymphocyte ratio (NLR) in glioma survival

• Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL)