SnapFISH
SnapFISH identifies chromatin loops from multiplexed DNA fluorescence in situ hybridization (DNA FISH) imaging data to analyze single-cell genome organization and spatial gene regulation.
Key Features:
- High-Resolution Mapping: Leverages multiplexed DNA FISH technologies to map chromatin fiber folding at tens of nanometers to several kilobases resolution within individual cells.
- Loop Identification: Detects chromatin loops from multiplexed DNA FISH data with high sensitivity and accuracy.
- Cross-Technology Compatibility: Demonstrates robust performance across datasets generated by various imaging technologies.
- Validation in Mouse Embryonic Stem Cells: Successfully identifies known chromatin loops in mouse embryonic stem cells.
- Advanced Computational Algorithms: Employs computational algorithms tailored for high-resolution DNA FISH data to extract structural information and support precise loop detection.
Scientific Applications:
- Genome Organization and Gene Regulation: Characterizes chromatin loop structures to study spatial genome arrangement and its impact on gene regulation at single-cell resolution.
- Single-Cell Chromatin Architecture and Heterogeneity: Enables analysis of cell-to-cell variability in chromatin folding and loop formation.
- Development, Differentiation, and Disease Research: Supports investigations into how chromatin loops contribute to development, cellular differentiation, and disease progression.
Methodology:
Processes multiplexed DNA FISH imaging datasets and applies advanced computational algorithms to extract structural information and detect chromatin loops.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/29/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Lee L, Yu H, Jia BB, Jussila A, Zhu C, Chen J, Xie L, Hafner A, Mishra S, Wang DD, Strambio-De-Castillia C, Boettiger A, Ren B, Li Y, Hu M. SnapFISH: a computational pipeline to identify chromatin loops from multiplexed DNA FISH data. Nature Communications. 2023;14(1). doi:10.1038/s41467-023-40658-3. PMID:37573342. PMCID:PMC10423204.
PMID: 37573342
PMCID: PMC10423204
Funding: - U.S. Department of Health & Human Services | National Institutes of Health: R01HL163972, R35HG011922, U01DA052713, U01HG011720, U24AR076730, UM1HG011585