SMTdb: A Comprehensive Spatial Meta-Transcriptome Resource in Cancer

作者：Weiwei Zhou, Qingyi Yang, Jiyu Guo, Si Li, Minghai Su, Feng Leng, Tingyu Rong, Jingyi Shi, Yueying Gao, Tiantongfei Jiang, Juan Xu, Yongsheng Li · 发表于：Molecular Biology and Evolution · 年份：2025 · DOI：10.1093/molbev/msaf263 · 被引用次数：4 · 研究领域：Single-cell and spatial transcriptomics、Immune cells in cancer、Gut microbiota and health

Microorganisms have been detected in various tumors, and research on the tumor microbiome has received increasing attention. However, the investigation of the cancer microbiome at the spatial resolution level remains a challenging issue. The emergence of spatially resolved transcriptomics technology has enabled to map transcripts at the single-cell resolution in various cancer types. Here, we constructed a comprehensive spatial meta-transcriptome resource by manually curating 203 fresh frozen slices from 20 cancer types encompassing 334,253 spots and 1,908,646 cells. A spatial meta-transcriptome database (SMTdb; http://bio-bigdata.hrbmu.edu.cn/SMTdb/) was constructed to provide detailed insights into the abundance, distribution, and enriched tumor microenvironment (TME) regions of 1,218 microbiota in spatial tissue slices. SMTdb enables to explore the vast interactive data of spatial distribution and expression of microbiota, provides host gene modules associated with certain microbiota, and contains data on the co-occurrence between the microbiota and immune cells within the TME. The atlas resource serves as a comprehensive and structured platform to investigate the interactions between microbial ecosystems and hosts in cancer.