背景(考古学)
数据科学
空间语境意识
可视化
计算机科学
转录组
新兴技术
计算生物学
生物
数据挖掘
人工智能
遗传学
基因
基因表达
古生物学
作者
Pierre Isnard,Benjamin D. Humphreys
标识
DOI:10.1016/j.ajpath.2024.06.012
摘要
The recent arrival of high-resolution spatial transcriptomics (ST) technologies is generating a veritable revolution in life sciences, enabling biomolecules to be measured in their native spatial context. By integrating morphology and molecular biology, ST technologies offer the potential of improving the understanding of tissue biology and disease and may also provide meaningful clinical insights. In this review, we describe the main spatial transcriptomics technologies currently available, the computational analysis for data interpretation and visualization, and illustrate their scientific and potential medical interest in the context of kidney disease. Finally, we discuss the perspectives and challenges of these booming new technologies.
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