观点
范围(计算机科学)
转化研究
工作流程
工具箱
时间轴
数据科学
蓝图
计算机科学
校长(计算机安全)
仿形(计算机编程)
计算生物学
工程类
生物
地理
生物技术
艺术
视觉艺术
考古
操作系统
程序设计语言
机械工程
数据库
作者
Nan Wang,Weifeng Hong,Yixing Wu,Zhe‐Sheng Chen,Minghua Bai,Weixin Wang,Ji Zhu
出处
期刊:MedComm
[Wiley]
日期:2024-10-01
卷期号:5 (10)
摘要
Abstract The growing advances in spatial transcriptomics (ST) stand as the new frontier bringing unprecedented influences in the realm of translational oncology. This has triggered systemic experimental design, analytical scope, and depth alongside with thorough bioinformatics approaches being constantly developed in the last few years. However, harnessing the power of spatial biology and streamlining an array of ST tools to achieve designated research goals are fundamental and require real‐world experiences. We present a systemic review by updating the technical scope of ST across different principal basis in a timeline manner hinting on the generally adopted ST techniques used within the community. We also review the current progress of bioinformatic tools and propose in a pipelined workflow with a toolbox available for ST data exploration. With particular interests in tumor microenvironment where ST is being broadly utilized, we summarize the up‐to‐date progress made via ST‐based technologies by narrating studies categorized into either mechanistic elucidation or biomarker profiling (translational oncology) across multiple cancer types and their ways of deploying the research through ST. This updated review offers as a guidance with forward‐looking viewpoints endorsed by many high‐resolution ST tools being utilized to disentangle biological questions that may lead to clinical significance in the future.
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