转录组
地理
数据科学
计算机科学
计算生物学
生物
遗传学
基因表达
基因
作者
Zhihua Ou,Jianhua Yin,Liang Wu,Florent Ginhoux,Xin Jin
标识
DOI:10.59717/j.xinn-life.2023.100006
摘要
Spatial transcriptomics (ST) technologies can be divided into two categories, depending on the strategies used to measure transcripts: imagingbased and sequencing-based technologies.Imaging-based ST technologies employ microscopy to detect transcripts using fluorescence in situ hybridization (FISH).On the other hand, sequencing-based technologies use sequencing to capture the spatial expression patterns of genes.These sequencingbased technologies can be further divided into three types based on how spatial information is obtained: laser capture microdissection (LCM), in situ sequencing (ISS), and in situ barcoding. 1In this context, we aim to identify the opportunities and challenges of spatial transcriptomics in cancer research.
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