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利用人类肠道类器官在单细胞转录水平上理解小肠上皮。

Using Human Intestinal Organoids to Understand the Small Intestine Epithelium at the Single Cell Transcriptional Level.

机构信息

Department of Molecular Virology and Microbiology, Baylor College of Medicine.

Department of Molecular and Cellular Biology, Baylor College of Medicine.

出版信息

J Vis Exp. 2024 Jun 28(208). doi: 10.3791/66749.

Abstract

Single cell transcriptomics has revolutionized our understanding of the cell biology of the human body. State-of-the-art human small intestinal organoid cultures provide ex vivo model systems that bridge the gap between animal models and clinical studies. The application of single cell transcriptomics to human intestinal organoid (HIO) models is revealing previously unrecognized cell biology, biochemistry, and physiology of the GI tract. The advanced single cell transcriptomics platforms use microfluidic partitioning and barcoding to generate cDNA libraries. These barcoded cDNAs can be easily sequenced by next generation sequencing platforms and used by various visualization tools to generate maps. Here, we describe methods to culture and differentiate human small intestinal HIOs in different formats and procedures for isolating viable cells from these formats that are suitable for use in single-cell transcriptional profiling platforms. These protocols and procedures facilitate the use of small intestinal HIOs to obtain an increased understanding of the cellular response of human intestinal epithelium at the transcriptional level in the context of a variety of different environments.

摘要

单细胞转录组学彻底改变了我们对人体细胞生物学的理解。最先进的人类小肠类器官培养提供了体外模型系统,弥合了动物模型和临床研究之间的差距。单细胞转录组学在人类肠道类器官 (HIO) 模型中的应用揭示了以前未被识别的胃肠道的细胞生物学、生物化学和生理学。先进的单细胞转录组学平台使用微流控分区和条形码生成 cDNA 文库。这些条形码 cDNA 可以通过下一代测序平台轻松测序,并通过各种可视化工具用于生成图谱。在这里,我们描述了在不同格式下培养和分化人类小肠 HIO 的方法,以及从这些格式中分离出适合单细胞转录谱分析平台使用的有活力细胞的方法。这些方案和程序促进了小肠 HIO 的使用,以便在各种不同的环境中,在转录水平上增加对人类肠道上皮细胞的细胞反应的理解。

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Drivers of transcriptional variance in human intestinal epithelial organoids.人类肠道类器官中转录变异的驱动因素。
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本文引用的文献

1
Organization of the human intestine at single-cell resolution.人类肠道的单细胞分辨率组织图谱
Nature. 2023 Jul;619(7970):572-584. doi: 10.1038/s41586-023-05915-x. Epub 2023 Jul 19.
2
Best practices for single-cell analysis across modalities.多模态单细胞分析的最佳实践。
Nat Rev Genet. 2023 Aug;24(8):550-572. doi: 10.1038/s41576-023-00586-w. Epub 2023 Mar 31.
5
Cells of the human intestinal tract mapped across space and time.人类肠道细胞的时空图谱。
Nature. 2021 Sep;597(7875):250-255. doi: 10.1038/s41586-021-03852-1. Epub 2021 Sep 8.

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