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Quantitative CUT&Tag for Epigenomic Profiling of Mouse Germ Cells
Mengwen Hu1, Satoshi H Namekawa2
1Department of Microbiology and Molecular Genetics, University of California, Davis, Davis, CA, USA. mwhu@ucdavis.edu.
Methods in Molecular Biology (Clifton, N.J.)
|July 2, 2025
Summary
This study details optimized spike-in Cleavage Under Targets and Tagmentation (CUT&Tag) protocols for quantitative epigenomic profiling of mouse germ cells. The method enables reproducible, high-quality chromatin analysis with minimal sample input.
Area of Science:
- Epigenetics and Genomics
- Molecular Biology
- Cell Biology
Background:
- Epigenetic gene regulation is crucial for cellular function.
- Genome-wide chromatin profiling techniques are essential for understanding epigenetic mechanisms.
- Cleavage Under Targets and Tagmentation (CUT&Tag) offers an efficient method for chromatin profiling due to its simplicity and low input requirements.
Purpose of the Study:
- To provide optimized spike-in CUT&Tag protocols for quantitative epigenomic profiling.
- To detail the application of these protocols in mouse germ cells, specifically spermatogonial cells.
- To establish a versatile framework for quantitative epigenomic analysis beyond male germ cells.
Main Methods:
- Optimization of spike-in CUT&Tag protocols for quantitative epigenomic analysis.
- Fluorescence-activated cell sorting (FACS) for isolation of specific cell populations (adult mouse spermatogonial cells).
- Generation of sequencing libraries using the optimized CUT&Tag protocol.
- Bioinformatics analysis of sequencing data for epigenomic insights.
Main Results:
- Demonstration of a detailed, optimized spike-in CUT&Tag protocol.
- Successful application of the protocol for comprehensive epigenomic profiling of adult mouse spermatogonial cells.
- Generation of high-quality, reproducible data enabling quantitative epigenomic analysis.
Conclusions:
- The developed spike-in CUT&Tag protocols are highly effective for quantitative epigenomic profiling of mouse germ cells.
- This methodology provides a robust and versatile framework applicable to various cell types and epigenomic studies.
- The approach facilitates a deeper understanding of epigenetic gene regulation in diverse biological contexts.

