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Robust 3D DNA FISH Using Directly Labeled Probes
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对DNA/RNA/免疫光 (IF) -seqFISH数据的图像分析协议
Hiroaki Ohishi1, Hiroshi Ochiai2
1Division of Gene Expression Dynamics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Methods in molecular biology (Clifton, N.J.)
|September 16, 2024
概括
这项研究详细介绍了基于成像的空间多组学,重点是序列光 in situ 杂交 (seqFISH). 它提供了一种实用的图像分析协议,用于观察细胞和组织内的基因转录和蛋白质定位.
科学领域:
- 分子生物学分子生物学
- 基因组学就是基因组学.
- 细胞生物学 细胞生物学
背景情况:
- 基于成像的空间多基因组学能够分析基因组结构,基因转录和蛋白质定位在单个基因基因水平上.
- 这些技术提供了对生物现象的详细观察,包括细胞内转录机制.
研究的目的:
- 详细介绍基于成像的空间多omics技术的原理.
- 为顺序光 in situ杂交 (seqFISH) 图像分析提供一个全面的协议.
- 通过可访问的代码实现实际应用.
主要方法:
- 专注于DNA / RNA / 免疫光 (IF) 序列光在位杂交 (seqFISH).
- 图像分析的详细一步一步协议:预处理,点检测和数据可视化.
- 为实际应用提供完整的Jupyter Notebook代码.
主要成果:
- 展示空间多主题分析的原则.
- 这里介绍了一个用于seqFISH图像分析的功能协议.
- 开放获取代码可以促进可重复的研究.
结论:
- 基于成像的空间多组学,特别是seqFISH,是生物研究的强大工具.
- 提供的协议和代码提高了这些先进技术的可访问性和应用.
- 便于在细胞和组织环境中详细观察分子事件.
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