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开源自动化通用高含量多重光对RNA现场分析的协议

Jean Descarpentrie¹, Florian Bernard², Wilfried Souleyreau³

¹Department of Molecular Biology, 90187 Umeå, Sweden; Umeå Centre for Microbial Research (UCMR), Umeå University, 90187 Umeå, Sweden.

|December 7, 2024

概括

我们使用开源软件开发了一个自动化协议来分析细胞中的RNA. 这种方法可以量化每细胞多达14个mRNA点,简化了复杂的光在位转录学分析.

科学领域:

分子生物学分子生物学
生物信息学是一种生物信息学.
细胞生物学细胞生物学

背景情况:

在现场杂交对于可视化细胞内的RNA至关重要.
分析这些图像用于定量转录学通常是复杂和劳动密集的.

研究的目的:

介绍一个自动化,开源的协议,用于高含量多重光在现场转录学分析.
为了简化在单个细胞内的多个mRNA探针的量化.

主要方法:

使用斐济宏观的核心细分.
每张图像最多有14个mRNA探针的量化.
使用自定义 Python 应用程序进行数据总结.

主要成果:

该协议使光在现场杂交图像的自动分析成为可能.
它准确地为多个mRNA点量化单细胞或共阳性细胞.
结果被编译成一个单一的电子表格,以方便解释.

结论:

这种开源协议简化了高含量的多重光 in situ transcriptomics.
它为细胞中的RNA可视化和量化提供了强大的和可访问的方法.

关键词:

细胞生物学细胞生物学卫生科学卫生科学在现场混合化.

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