CancerSRT:a spatially resolved transcriptomics database for human cancers  

作　　者：Yuying Huo Jiakang Wang Chengcheng Liu Jinxia Wang Chen Wang Wenbo Guo Zhiyuan Yuan Tiantian Guo Jin Gu Xiangyu Li 

机构地区：[1]School of Software Engineering,Beijing Jiaotong University,Beijing 100044,China [2]Department of Biological Sciences,Center for Systems Biology,The University of Texas at Dallas,Richardson,TX 75080,USA [3]MOE Key Laboratory of Bioinformatics,BNRIST Bioinformatics Division,Department of Automation,Tsinghua University,Beijing 100084,China [4]Institute of Science and Technology for Brain-Inspired Intelligence,Fudan University,Shanghai 200433,China

出　　处：《Journal of Genetics and Genomics》2024年第12期1505-1508,共4页遗传学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(62003028);supported by a Scholarship from the China Scholarship Council。

摘　　要：Human cancer is one of the leading causes of death worldwide.Tumor heterogeneity and complex microenvironment are major challenges for anti-cancer treatment.A better understanding of the tumor heterogeneity might contribute to more precise diagnosis and treatment.Recent advances in single-cell RNA-sequencing(scRNA-seq)have provided valuable insights into cell fate determination and development in cancer,but the main limitation is that cellular spatial information is lost.Fortunately,spatially resolved transcriptomics technologies have enabled gene expression profiling with spatial coordinates in tissues,which opens up new avenues for deciphering the cancer spatial structure and accelerating oncological research.

关 键 词：DIAGNOSIS spatially RESOLVED 

分 类 号：R730[医药卫生—肿瘤]