生物
空间组织
功能(生物学)
光学(聚焦)
转录组
空间分析
计算生物学
钥匙(锁)
RNA序列
数据科学
计算机科学
遗传学
基因
进化生物学
基因表达
生态学
光学
物理
地质学
遥感
作者
Ye Wang,Bin Liu,Gexin Zhao,Yoojin Lee,Anton Buzdin,Xiaofeng Mu,Joseph J. Zhao,Hong Chen,Xinmin Li
出处
期刊:Genomics
[Elsevier]
日期:2023-09-01
卷期号:115 (5): 110671-110671
被引量:30
标识
DOI:10.1016/j.ygeno.2023.110671
摘要
The diverse cell types of an organ have a highly structured organization to enable their efficient and correct function. To fully appreciate gene functions in a given cell type, one needs to understand how much, when and where the gene is expressed. Classic bulk RNA sequencing and popular single cell sequencing destroy cell structural organization and fail to provide spatial information. However, the spatial location of gene expression or of the cell in a complex tissue provides key clues to comprehend how the neighboring genes or cells cross talk, transduce signals and work together as a team to complete the job. The functional requirement for the spatial content has been a driving force for rapid development of the spatial transcriptomics technologies in the past few years. Here, we present an overview of current spatial technologies with a special focus on the commercially available or currently being commercialized technologies, highlight their applications by category and discuss experimental considerations for a first spatial experiment.
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