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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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在FPE组织中对成像空间转录组学平台的系统基准测试.

Huan Wang1, Ruixu Huang2, Jack Nelson1

  • 1Spatial Technology Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142 USA.

bioRxiv : the preprint server for biology
|December 18, 2023
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概括

这项研究对三种成像空间转录组学 (iST) 平台进行了基准测试,用于甲固定嵌 (FFPE) 组织. 结果引导研究人员选择最好的iST方法来分析宝贵的FFPE样本.

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科学领域:

  • 基因组学就是基因组学.
  • 分子生物学分子生物学
  • 生物技术是生物技术.

背景情况:

  • 影像空间转录学 (iST) 能够在组织环境中分析细胞相互作用和基因表达.
  • 在病理学研究中,固定甲嵌入 (FFPE) 组织至关重要,但在转录基因分析中具有挑战性.

研究的目的:

  • 在FFPE组织微阵列 (TMA) 上对三个商业iST平台的性能进行比较.
  • 为了在空间转录学应用中跨平台进行技术和生物性能比较.

主要方法:

  • 三个商业iST平台的基准测试,使用来自TMA的序列段.
  • 对23种瘤和正常组织类型的分析.
  • 转录数的比较,特异性,与RNA-seq的一致性,细胞类型的准确性和子集群性能.

主要成果:

  • 10倍的Xenium在不牺牲特异性的情况下显示出每基因的更高的转录数量.
  • 这三种平台都与正交RNA-seq数据集一致.
  • 平台的错误发现率,细胞细分错误频率和子集群能力各不相同.

结论:

  • 该研究提供了一个全面的基准,以帮助研究人员为FFPE样本选择合适的iST平台.
  • 了解特定平台的性能对于设计成功的空间转录学研究至关重要.