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半固体 RNA-seq 分析作为一种在局部细胞环境中测量基因表达状态的便捷方法。

Semibulk RNA-seq analysis as a convenient method for measuring gene expression statuses in a local cellular environment.

机构信息

Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8561, Japan.

Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo, 153-8505, Japan.

出版信息

Sci Rep. 2022 Sep 12;12(1):15309. doi: 10.1038/s41598-022-19391-2.

Abstract

When biologically interpretation of the data obtained from the single-cell RNA sequencing (scRNA-seq) analysis is attempted, additional information on the location of the single cells, behavior of the surrounding cells, and the microenvironment they generate, would be very important. We developed an inexpensive, high throughput application while preserving spatial organization, named "semibulk RNA-seq" (sbRNA-seq). We utilized a microfluidic device specifically designed for the experiments to encapsulate both a barcoded bead and a cell aggregate (a semibulk) into a single droplet. Using sbRNA-seq, we firstly analyzed mouse kidney specimens. In the mouse model, we could associate the pathological information with the gene expression information. We validated the results using spatial transcriptome analysis and found them highly consistent. When we applied the sbRNA-seq analysis to the human breast cancer specimens, we identified spatial interactions between a particular population of immune cells and that of cancer-associated fibroblast cells, which were not precisely represented solely by the single-cell analysis. Semibulk analysis may provide a convenient and versatile method, compared to a standard spatial transcriptome sequencing platform, to associate spatial information with transcriptome information.

摘要

当尝试对单细胞 RNA 测序 (scRNA-seq) 分析获得的数据进行生物学解释时,关于单细胞的位置、周围细胞的行为以及它们产生的微环境的额外信息将非常重要。我们开发了一种廉价、高通量的应用程序,同时保留了空间组织,称为“半体积 RNA 测序 (sbRNA-seq)”。我们利用专门设计用于实验的微流控设备将带有条形码的珠子和细胞聚集体(半体积)封装在单个液滴中。使用 sbRNA-seq,我们首先分析了小鼠肾脏标本。在小鼠模型中,我们可以将病理信息与基因表达信息相关联。我们使用空间转录组分析验证了结果,发现它们高度一致。当我们将 sbRNA-seq 分析应用于人类乳腺癌标本时,我们确定了特定免疫细胞群与癌相关成纤维细胞群之间的空间相互作用,而这些作用仅通过单细胞分析无法准确表示。与标准的空间转录组测序平台相比,半体积分析可能是一种方便且多功能的方法,可以将空间信息与转录组信息相关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b27/9468030/63d5c1153a74/41598_2022_19391_Fig1_HTML.jpg

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