Image Analysis Protocol for DNA/RNA/Immunofluorescence (IF)-seqFISH Data.
Autor: | Ohishi H; Division of Gene Expression Dynamics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan., Ochiai H; Division of Gene Expression Dynamics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan. ochiai.hiroshi.403@m.kyushu-u.ac.jp. |
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Jazyk: | angličtina |
Zdroj: | Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2025; Vol. 2856, pp. 419-432. |
DOI: | 10.1007/978-1-0716-4136-1_24 |
Abstrakt: | Imaging-based spatial multi-omics technologies facilitate the analysis of higher-order genomic structures, gene transcription, and the localization of proteins and posttranslational modifications (PTMs) at the single-allele level, thereby enabling detailed observations of biological phenomena, including transcription machinery within cells and tissues. This chapter details the principles of such technologies, with a focus on DNA/RNA/immunofluorescence (IF) sequential fluorescence in situ hybridization (seqFISH). A comprehensive step-by-step protocol for image analysis is provided, covering image preprocessing, spot detection, and data visualization. For practical application, complete Jupyter Notebook codes are made available on GitHub ( https://github.com/Ochiai-Lab/seqFISH_analysis ). (© 2025. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.) |
Databáze: | MEDLINE |
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