转录组
仿形(计算机编程)
计算生物学
蛋白质组学
生物
基因表达谱
聚类分析
蛋白质表达
基因
遗传学
基因表达
计算机科学
人工智能
操作系统
作者
Nir Ben-Chetrit,Xiang Niu,Ariel D. Swett,Jesús Alfonso López Sotélo,Maria S. Jiao,Caitlin M. Stewart,Catherine Potenski,Paulius Mielinis,Patrick Roelli,Marlon Stoeckius,Dan A. Landau
标识
DOI:10.1038/s41587-022-01536-3
摘要
Spatial transcriptomics and proteomics provide complementary information that independently transformed our understanding of complex biological processes. However, experimental integration of these modalities is limited. To overcome this, we developed Spatial PrOtein and Transcriptome Sequencing (SPOTS) for high-throughput simultaneous spatial transcriptomics and protein profiling. Compared with unimodal measurements, SPOTS substantially improves signal resolution and cell clustering and enhances the discovery power in differential gene expression analysis across tissue regions.
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