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DNA Microarrays

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...

DNA Topoisomerases

DNA Topoisomerases

Topoisomerases are enzymes that relax overwound DNA molecules during various cell processes, including DNA replication and transcription. These enzymes regulate positive and negative DNA supercoiling without changing the nucleotide sequence. DNA overwinding in a clockwise direction results in positively supercoiled DNA, whereas underwinding in a counterclockwise direction produces negatively supercoiled DNA.
Types and Mechanism of action
Topoisomerases are divided into two main types. ...

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Updated: Jan 6, 2026

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

DNMIVD: DNA methylation interactive visualization database.

Wubin Ding¹, Jiwei Chen¹, Guoshuang Feng^2,3

¹Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai 200241, China.

Nucleic Acids Research

|October 11, 2019

Summary

This summary is machine-generated.

Aberrant DNA methylation is crucial in cancer. The new DNA Methylation Interactive Visualization Database (DNMIVD) offers comprehensive tools for cancer DNA methylation analysis, including diagnostic models and survival associations.

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Last Updated: Jan 6, 2026

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

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Published on: February 24, 2015

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Immunostaining for DNA Modifications: Computational Analysis of Confocal Images

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Published on: September 7, 2017

Area of Science:

Epigenetics
Cancer Biology
Bioinformatics

Background:

Aberrant DNA methylation is a key driver in cancer progression.
Existing resources lack comprehensive DNA methylation analysis tools for diverse cancers.

Purpose of the Study:

To develop a centralized, user-friendly database for exploring DNA methylation profiles in cancer.
To provide integrated resources for diagnostic, prognostic, and functional epigenetic analyses.

Main Methods:

Construction of the DNA Methylation Interactive Visualization Database (DNMIVD).
Integration of The Cancer Genome Atlas (TCGA) data, including DNA methylation and gene expression.
Development of models for diagnostic/prognostic prediction, meQTL, emQTL, pathway-meQTL, and Functional Epigenetic Modules (FEMs).

Main Results:

DNMIVD provides diagnostic and prognostic models for multiple TCGA cancer types.
Includes meQTL, emQTL, pathway-meQTL, and Functional Epigenetic Modules (FEMs).
Offers analysis of differentially methylated CpGs, gene expression correlations, and survival associations.

Conclusions:

DNMIVD is a valuable, freely accessible resource for comprehensive cancer DNA methylation research.
Facilitates exploration of DNA methylation from multiple perspectives, aiding cancer research.