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Related Experiment Video

Updated: Jan 7, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues

Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

When the methylome becomes the microscope.

Houtan Noushmehr¹

¹Henry Ford Health + Michigan State University, Hermelin Brain Tumor Center, Department of Neurosurgery, 2799 West Grand Blvd, Detroit, MI, USA.

|January 1, 2026

Summary

DNA methylation patterns classify tumors for better diagnosis and treatment. A new classifier expands tumor subclasses, improving accuracy and accessibility for researchers and clinicians.

Area of Science:

Oncology
Genomics
Epigenetics

Background:

DNA methylation patterns are crucial for classifying tumors.
These patterns influence tumor biology, prognosis, and treatment response.

Purpose of the Study:

To expand the Heidelberg CNS Tumor Methylation Classifier.
To enhance diagnostic accuracy for central nervous system (CNS) tumors.
To make methylation-based classification more accessible.

Main Methods:

Analysis of 7,495 methylomes.
Expansion of the Heidelberg CNS Tumor Methylation Classifier from 91 to 184 subclasses.

Main Results:

Enhanced diagnostic accuracy for CNS tumors.

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Last Updated: Jan 7, 2026

Methyl-binding DNA capture Sequencing for Patient Tissues

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Published on: October 31, 2016

Methylation Specific Multiplex Droplet PCR using Polymer Droplet Generator Device for Hematological Diagnostics

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DNA Methylation: Bisulphite Modification and Analysis

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

Identification of new tumor subclasses.

Increased accessibility of methylation-based classification.

Conclusions:

The expanded classifier provides a more refined tool for CNS tumor diagnosis.
Methylation profiling is essential for precise tumor subclassification.
Wider accessibility facilitates broader application in research and clinical settings.