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DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: Jun 29, 2026

DNA Methylation: Bisulphite Modification and Analysis
12:34

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

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Seeing and Feeling DNA Methylation: Single-Molecule Biophysics Meets Machine Learning.

Tanya Agrawal1, Suchetan Pal, Tatini Rakshit1

  • 1Department of Chemistry, Shiv Nadar Institution of Eminence, Delhi-NCR 201314, India.

Nano Letters
|March 31, 2026
PubMed
Summary

New biophysical methods offer precise, single-molecule mapping of DNA methylation (5mC). These techniques reveal DNA structure and protein interactions, advancing epigenomics for potential clinical applications.

Keywords:
5-methylcytosineDNA methylationFRETNanopore and AFMOptical and Magnetic Tweezers

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Area of Science:

  • Epigenetics and Molecular Biology
  • Biophysics
  • Genomics

Background:

  • DNA methylation (5mC) is vital for development and disease, requiring precise genome-wide mapping.
  • Current methods face limitations like DNA degradation and high costs.
  • The reversible nature of 5mC presents therapeutic opportunities.

Purpose of the Study:

  • To review advances in single-molecule biophysical methods for 5mC detection.
  • To highlight how these methods provide insights into DNA mechanics and protein interactions.
  • To discuss the integration of machine learning for enhanced epigenetic analysis.

Main Methods:

  • Nanopore sensing
  • Single-molecule Förster Resonance Energy Transfer (smFRET)
  • Optical and magnetic tweezers
  • Atomic Force Microscopy (AFM)

Main Results:

  • These biophysical techniques enable direct, label-free 5mC detection.
  • They offer quantitative data on DNA conformation, mechanics, and protein-DNA interactions.
  • Machine learning is improving data analysis, especially for nanopore sensing.

Conclusions:

  • Single-molecule biophysical methods complement traditional epigenomic mapping.
  • Advancements promise scalable, high-resolution epigenetic profiling.
  • These techniques are crucial for advancing precision epigenomics toward clinical applications.