整合空间转录组学和单细胞转录组测序揭示食管鳞癌的组织结构

核心信息

  • 论文英文标题: Integrating microarray-based spatial transcriptomics and single-cell RNA-sequencing reveals tissue architecture in esophageal squamous cell carcinoma
  • 期刊: EBioMedicine
  • 发表年份: 2022
  • DOI: 10.1016/j.ebiom.2022.104281
  • PMID/PMCID: 36162205; PMC9519476

研究概览

This study revealed the spatial landscape of various cell subsets within the TME and the potential cross-talk among diverse cells, which provides novel insights into cancer intervention. Although distinct cell subsets can be identified via single-cell RNA sequencing (scRNA-seq), the spatial composition of cells within the TME is difficult to characterise.

核心发现

The subpopulations of seven stromal cells were identified within the TME of ESCC, and the architecture of scRNA-seq-determined subsets was mapped in cancer and stromal regions.

The distribution of various stromal cells and their subpopulations was heterogeneous.

Compared with immune cells, non-immune stromal cells were significantly enriched in the TME.

Most subsets of epithelial cells were enriched in the cancer regions, whereas inflammatory cancer-associated fibroblasts were correlated with the stromal regions.

研究设计

Tissue samples were collected from three patients with esophageal squamous cell carcinoma (ESCC), and scRNA-seq was performed to identify distinct cell subsets.

In addition, a microarray-based spatial transcriptomics (ST) method was used to characterise the spatial landscape of expression data via an array of spots.

Using multimodal intersection analysis (MIA) to integrate scRNA-seq and ST, the exact cellular components of the tumor and stromal regions were annotated.

Echo Biotech 角色

空转+单转

关联平台: Exoomics®

关联服务与能力: Single-Cell RNA Sequencing, Spatial Transcriptomics

关联产品或试剂: 无明确产品引用

参考文献

原始论文: Integrating microarray-based spatial transcriptomics and single-cell RNA-sequencing reveals tissue architecture in esophageal squamous cell carcinoma EBioMedicine. 2022. DOI: 10.1016/j.ebiom.2022.104281. PMID/PMCID: 36162205; PMC9519476.