转录组
背景(考古学)
生物
RNA序列
计算生物学
基因
基因表达
遗传学
古生物学
作者
Arti M. Raghubar,Joanna Crawford,Kahli Jones,Pui Yeng Lam,Stacey B. Andersen,Nicholas Matigian,Monica Suet Ying Ng,Helen Healy,Andrew J. Kassianos,Andrew Mallett
标识
DOI:10.1007/978-1-0716-3179-9_17
摘要
Unlike bulk and single-cell/single-nuclei RNA sequencing methods, spatial transcriptome sequencing (ST-seq) resolves transcriptome expression within the spatial context of intact tissue. This is achieved by integrating histology with RNA sequencing. These methodologies are completed sequentially on the same tissue section placed on a glass slide with printed oligo-dT spots, termed ST-spots. Transcriptomes within the tissue section are captured by the underlying ST-spots and receive a spatial barcode in the process. The sequenced ST-spot transcriptomes are subsequently aligned with the hematoxylin and eosin (H&E) image, giving morphological context to the gene expression signatures within intact tissue. We have successfully employed ST-seq to characterize mouse and human kidney tissue. Here, we describe in detail the application of Visium Spatial Tissue Optimization (TO) and Visium Spatial Gene Expression (GEx) protocols for ST-seq in fresh frozen kidney tissue.
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