转录组
生物
计算生物学
激光捕获显微切割
核糖核酸
肠粘膜
细胞生物学
遗传学
基因
基因表达
医学
内科学
作者
Charles H. Danan,Kay Katada,Louis Parham,Kathryn E. Hamilton
出处
期刊:American Journal of Physiology-gastrointestinal and Liver Physiology
[American Physiological Society]
日期:2023-02-01
卷期号:324 (2): G91-G98
被引量:5
标识
DOI:10.1152/ajpgi.00191.2022
摘要
The profound complexity of the intestinal mucosa demands a spatial approach to the study of gut transcriptomics. Although single-cell RNA sequencing has revolutionized our ability to survey the diverse cell types of the intestine, knowledge of cell type alone cannot fully describe the cells that make up the intestinal mucosa. During homeostasis and disease, dramatic gradients of oxygen, nutrients, extracellular matrix proteins, morphogens, and microbiota collectively dictate intestinal cell state, and only spatial techniques can articulate differences in cellular transcriptomes at this level. Spatial transcriptomic techniques assign transcriptomic data to precise regions in a tissue of interest. In recent years, these protocols have become increasingly accessible, and their application in the intestinal mucosa has exploded in popularity. In the gut, spatial transcriptomics typically involve the application of tissue sections to spatially barcoded RNA sequencing or laser capture microdissection followed by RNA sequencing. In combination with single-cell RNA sequencing, these spatial sequencing approaches allow for the construction of spatial transcriptional maps at pseudosingle-cell resolution. In this review, we describe the spatial transcriptomic technologies recently applied in the gut and the previously unattainable discoveries that they have produced.
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