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Capturing and modeling cellular niches from dissociated single-cell and spatial data
Nature Biotechnology ( IF 46.9 ) Pub Date : 2024-04-02 , DOI: 10.1038/s41587-024-02207-1


Cells interact with their local environment to enact global tissue function. By harnessing gene–gene covariation in cellular neighborhoods from spatial transcriptomics data, the covariance environment (COVET) niche representation and the environmental variational inference (ENVI) data integration method model phenotype–microenvironment interplay and reconstruct the spatial context of dissociated single-cell RNA sequencing datasets.

中文翻译:

从分离的单细胞和空间数据捕获和建模细胞生态位

细胞与其局部环境相互作用以发挥整体组织功能。通过利用空间转录组数据中细胞邻域中的基因-基因共变、协方差环境 (COVET) 生态位表示和环境变分推理 (ENVI) 数据集成方法模型表型 - 微环境相互作用并重建解离单细胞 RNA 测序的空间背景数据集。
更新日期:2024-04-05
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