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Single-Cell Factor Localization on Chromatin using Ultra-Low Input Cleavage Under Targets and Release using Nuclease
Published on: February 1, 2022
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Single-Cell Factor Localization on Chromatin using Ultra-Low Input Cleavage Under Targets and Release using Nuclease
Santana M Lardo1, Sarah J Hainer2
1Department of Biological Sciences, University of Pittsburgh.
Journal of Visualized Experiments : Jove
|February 21, 2022
Summary
Determining protein binding on chromatin is crucial for understanding gene regulation. Ultra-low input CUT&RUN (uliCUT&RUN) offers a sensitive method for single-cell transcription factor profiling.
Area of Science:
- Molecular Biology
- Genomics
- Epigenetics
Background:
- Protein-DNA interactions are vital for gene regulation.
- Chromatin Immunoprecipitation (ChIP) is a traditional method, but antibody tethering techniques offer higher sensitivity.
- Cleavage Under Targets & Release Under Nuclease (CUT&RUN) is an antibody tethering method for mapping protein-DNA interactions.
Purpose of the Study:
- To present a detailed protocol for single-cell transcription factor profiling using an optimized CUT&RUN method.
- To enable the analysis of protein localization on chromatin in low cell populations and single cells.
Main Methods:
- Utilized recombinant Protein A tethered to micrococcal nuclease (pA-MNase) for site-specific DNA cleavage.
- Adapted CUT&RUN for ultra-low input conditions (uliCUT&RUN).
- Developed a manual 96-well format protocol for single-cell analysis.
Main Results:
- The uliCUT&RUN protocol allows for sensitive genome-wide profiling of transcription factors.
- The method is effective for both euchromatic and heterochromatic regions.
- Successfully optimized for single-cell resolution.
Conclusions:
- Ultra-low input CUT&RUN (uliCUT&RUN) is a powerful and sensitive technique for single-cell transcription factor profiling.
- This method enhances our ability to study protein localization and function in complex biological systems.
- The detailed protocol facilitates broader application of single-cell epigenomic analysis.

