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Updated: Sep 3, 2025

Immunostaining for DNA Modifications: Computational Analysis of Confocal Images
Published on: September 7, 2017
DNA methylation dynamics and dysregulation delineated by high-throughput profiling in the mouse
Wanding Zhou1,2, Toshinori Hinoue3, Bret Barnes4
1Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
We created a mouse DNA methylation array and atlas, mapping epigenomic patterns across diverse samples. This resource aids studies on aging, development, and diseases like cancer in mice.
Area of Science:
- Epigenetics and genomics
- Mammalian molecular biology
Background:
- DNA methylation is crucial for mammalian development and disease.
- Comprehensive epigenomic atlases are essential for understanding complex biological processes.
Purpose of the Study:
- To develop a high-throughput mouse DNA methylation array.
- To create a reference mouse methylation atlas for diverse biological contexts.
- To explore DNA methylation dynamics in differentiation, aging, and tumorigenesis.
Main Methods:
- Development of the Infinium Mouse Methylation BeadChip (MM285) with 296,070 probes.
- Generation of a mouse methylation atlas from 1,239 DNA samples (tissues, strains, ages, sexes, pathologies).
- Bioinformatic analysis of methylation patterns and their association with biological variables.
Main Results:
- Tissue-specific methylation signatures correlate with transcription factor binding sites.
- Age-associated DNA hypermethylation occurs at Polycomb-repressed regions; hypomethylation at cohesin-bound regions.
- Apc polyp-associated hypermethylation affects intestinal differentiation enhancers; hypomethylation targets AP-1 sites.
Conclusions:
- The mouse methylation array and atlas provide a valuable resource for epigenomic research.
- DNA methylation patterns are intricately linked to cellular identity, aging, and cancer development.
- This platform will accelerate high-throughput epigenomic studies in the mouse model organism.
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