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Updated: Jan 28, 2026

Generation of Native Chromatin Immunoprecipitation Sequencing Libraries for Nucleosome Density Analysis
Published on: December 12, 2017
High Sensitivity Profiling of Chromatin Structure by MNase-SSP
Vijay Ramani1, Ruolan Qiu2, Jay Shendure3
1Department of Genome Sciences, University of Washington, Seattle, WA, USA; Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA.
We developed MNase-SSP, a new method to map transcription factor (TF) and nucleosome positions simultaneously. This technique improves detection of TF binding and nucleosome arrangements for better gene regulation insights.
Area of Science:
- Genomics
- Molecular Biology
- Epigenetics
Background:
- Understanding eukaryotic gene regulation necessitates precise mapping of transcription factors (TFs) and nucleosomes on DNA.
- Current methods may lack the sensitivity or resolution to capture all relevant protein-DNA interactions.
Purpose of the Study:
- To introduce MNase-SSP, a novel single-stranded sequencing library preparation method.
- To enable simultaneous, high-resolution mapping of TF and nucleosome positions.
- To demonstrate the utility of MNase-SSP for studying TF binding modes.
Main Methods:
- Developed MNase-SSP, a single-stranded sequencing library preparation protocol for nuclease-digested chromatin.
- Applied MNase-SSP to genome-wide mapping of nucleosome and TF occupancy in murine embryonic stem cells (mESCs).
- Analyzed short DNA fragments to detect subnucleosomal particles and TF binding.
Main Results:
- MNase-SSP significantly enriches for short DNA fragments compared to standard MNase-seq.
- Successfully mapped nucleosome and TF occupancy with high resolution in mESCs.
- Identified sequence-dependent binding modes for architectural TF Ctcf and TF Nrsf/Rest.
Conclusions:
- MNase-SSP provides a sensitive and unbiased approach for simultaneous mapping of TFs and nucleosomes.
- The method enhances the detection of TF binding and subnucleosomal structures.
- Adaptations of the single-stranded protocol (SSP) to other protein-DNA mapping techniques promise increased data content.
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