生物
背景(考古学)
空间语境意识
转录组
计算生物学
空间分析
过程(计算)
数据科学
生物信息学
计算机科学
遗传学
基因表达
基因
人工智能
古生物学
遥感
地质学
操作系统
作者
Huazhe Yang,Yuanli Zuo,Gang Li,Wenrong Liu,Yitong Pan,Ting Fan,Xin Fu,Xiaojun Yao,Yong Peng
标识
DOI:10.1186/s12943-024-02040-9
摘要
Abstract Malignant tumors have increasing morbidity and high mortality, and their occurrence and development is a complicate process. The development of sequencing technologies enabled us to gain a better understanding of the underlying genetic and molecular mechanisms in tumors. In recent years, the spatial transcriptomics sequencing technologies have been developed rapidly and allow the quantification and illustration of gene expression in the spatial context of tissues. Compared with the traditional transcriptomics technologies, spatial transcriptomics technologies not only detect gene expression levels in cells, but also inform the spatial location of genes within tissues, cell composition of biological tissues, and interaction between cells. Here we summarize the development of spatial transcriptomics technologies, spatial transcriptomics tools and its application in cancer research. We also discuss the limitations and challenges of current spatial transcriptomics approaches, as well as future development and prospects.
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