猛增
药物发现
计算生物学
生物
计算机科学
生物信息学
人工智能
作者
Yiming Li,Yiming Li,Yanyi Ding,Saya Dennis,Meghan R. Hutch,Jiaqi Zhou,Yadi Zhou,Yawei Li,Yawei Li,Maalavika Pillai,Sanaz Ghotbaldini,Mario Garcia,Mia S. Broad,Chengsheng Mao,Parambir S. Dulai,Feixiong Cheng,Zexian Zeng,Yuan Luo
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-06-11
卷期号:11 (24): eadt7450-eadt7450
被引量:5
标识
DOI:10.1126/sciadv.adt7450
摘要
Spatial transcriptomics enables multiplex profiling of gene cellular expression and location within the tissue context. Although large volumes of spatial transcriptomics data have been generated, the lack of systematic curation and analysis limits biological discovery. We present Spatial transcriptOmics Analysis Resource (SOAR), a comprehensive spatial transcriptomics platform with 3461 uniformly processed samples across 13 species, 42 tissue types, and 19 different spatial transcriptomics technologies. Using SOAR, we found that CXCL16/SPP1 macrophage polarity characterizes the coordination of immune cell polarity in the tumor microenvironment. SOAR's integrative approach toward drug discovery revealed sirolimus and trichostatin A as potential anticancer agents targeting the phosphatidylinositol 3-kinase/Akt/mammalian target of rapamycin growth and proliferation pathway and identified Janus kinase/signal transducers and activators of transcription inhibitors for ulcerative colitis treatment. SOAR's results demonstrate its broad application to data generated from diverse spatial technologies and pathological conditions. SOAR will support future benchmarking studies and method development, facilitating discoveries in molecular functions, disease mechanisms, and potential therapeutic targets.
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