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Updated: Jul 9, 2025

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies
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使用深度生成模型与SpatialScope集成空间和单细胞转录组学数据.

Xiaomeng Wan1, Jiashun Xiao2, Sindy Sing Ting Tam3

  • 1Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong SAR, China.

Nature communications
|November 29, 2023
PubMed
概括

SpatialScope 增强了空间转录组学 (ST) 数据,以实现单细胞分辨率和转录组范围的分析. 这种统一的方法整合了基于测序和基于图像的ST数据,以获得更深入的生物学见解.

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相关概念视频

RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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