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Updated: Feb 13, 2026

Author Spotlight: Enhancements in Gene Expression Regulation Research
Published on: September 15, 2023
Nuclear Histone 3 Post-Translational Modification Profiling in Whole Cells using Spectral Flow Cytometry.
Carly S Golden1, Saylor Williams1, Sandeep Sreerama1
1Center for Regenerative Medicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA.
EpiFlow enables multiparametric analysis of histone post-translational modifications (PTMs) in whole cells using spectral flow cytometry. This method enhances throughput and preserves sample integrity for a comprehensive understanding of chromatin dynamics.
Area of Science:
- Molecular Biology
- Cell Biology
- Epigenetics
Background:
- Histone modifications regulate gene expression and cell identity.
- Studying diverse histone post-translational modifications (PTMs) in isolation limits understanding of their coordinated roles.
- Conventional flow cytometry for histone PTMs has low multiplexing capacity and requires nuclear isolation, causing sample loss.
Purpose of the Study:
- To develop a novel spectral flow cytometry protocol, EpiFlow, for multiparametric analysis of histone PTMs in whole cells.
- To improve throughput, efficiency, and sample integrity compared to conventional methods.
- To provide an accessible and reproducible method for studying chromatin dynamics.
Main Methods:
- Developed EpiFlow, a spectral flow cytometry protocol for whole-cell histone PTM analysis.
- Utilized a 96-well plate format to enhance throughput.
- Preserved cellular integrity throughout the analysis process.
Main Results:
- EpiFlow successfully resolved subtle variations in histone PTMs within neural progenitor cells.
- The method captured distinct chromatin states across the cell cycle.
- Results were correlated with several cell markers, demonstrating comprehensive cellular state analysis.
Conclusions:
- EpiFlow offers a robust framework for exploring chromatin dynamics and histone PTMs.
- The protocol enhances understanding of cell identity and function through multiparametric analysis.
- Open-access resources ensure reproducibility and broad applicability in fundamental and therapeutic research.
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