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BioinformaticsMolecular Biology and Evolution
Peer-reviewed journal article

SMTdb: A comprehensive spatial meta-transcriptome resource in cancer

Weiwei ZhouiD, Qingyi YangiD, Jiyu GuoiD, Si LiiD, Minghai SuiD, Feng LengiD, Tingyu RongiD, Jingyi ShiiD, Yueying GaoiD, Tiantongfei JiangiD, Juan XuiD, Yongsheng LiiD

Abstract

Microbes have been found in various tumors and the research of tumor microbiome has been garnering increased attention. However, it remains challenge to investigate the microbiome in cancer at spatial resolution. The rapid advent of spatially resolved transcriptomics techniques has given rise to map transcripts at single-cell resolution in various types of cancer. Here, we constructed a comprehensive spatial meta-transcriptome resource by manually curating 203 fresh frozen (FF) slices from 20 cancers encompassing 334,253 spots and 1,908,646 cells. SMTdb (http://bio-bigdata.hrbmu.edu.cn/SMTdb/) was constructed to provide comprehensive insights into the abundance, distribution and enriched TME regions of 1218 microbiota in spatial tissue slices. SMTdb enables vast interactive data exploration of spatial distribution and expression of microbiota, host gene modules associated with certain microbiota and co-occurrence between microbiota and immune cells within tumor microenvironment. The atlas resource serves as a one-stop and time-effective platform to investigate the interactions among microbial ecosystems and hosts in cancer.

PDFDOI

02 /Specification & Classification

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