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基于成像的单细胞分辨率空间转录组学分析平台的比较,使用固定在甲,嵌入在氨酸中的瘤样本.

Nejla Ozirmak Lermi, Max Molina Ayala, Sharia Hernandez

    bioRxiv : the preprint server for biology
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    概括
    此摘要是机器生成的。

    这项研究比较了用于瘤微环境分析的商业空间转录学 (ST) 平台. 它揭示了平台差异和诸如组织年龄等影响数据质量的因素,用于准确的空间分析.

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    科学领域:

    • 在瘤学瘤学.
    • 分子生物学分子生物学
    • 生物信息学是一种生物信息学.

    背景情况:

    • 基于成像的空间转录学 (ST) 对于理解瘤生物学和微环境至关重要.
    • 缺乏对商业上可用的ST平台进行系统评估.

    研究的目的:

    • 严格比较单细胞ST平台 (CosMx,MERFISH,Xenium) 的性能.
    • 评估ST平台与大量RNA测序,多重免疫光学和其他空间分析方法进行对比.
    • 为优化空间配置文件工作流提供洞察力.

    主要方法:

    • 使用了固定在甲中的,嵌入在中的肺腺癌和甲状腺瘤瘤样本的连续截面.
    • 与CosMx,MERFISH和Xenium (单模/多模) 平台进行比较.
    • 对大量RNA测序,多重免疫光学,GeoMx DSP和H&E染色进行验证.
    • 执行了客观的自动和手动的像素分辨率细胞细分和表型.

    主要成果:

    • 评估的ST平台之间的详细的复杂差异.
    • 鉴定了组织年龄和探针设计作为影响数据质量的关键因素.
    • 证明了自动化和手动化表型化对于病理相关性的重要性.

    结论:

    • 该研究提供了领先的ST平台的系统比较.
    • 突出影响空间转录学数据质量和可靠性的关键参数.
    • 为在癌症研究中选择适当的工作流程进行空间分析和分子发现提供指导.