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文章:Wang, G., Wu, S., Xiong, Z., Qu, H., Fang, X., & Bao, Y. (2024). CROST: a comprehensive repository of spatial transcriptomics. Nucleic Acids Research, 52(D1), D882-D890. https://academic.oup.com/nar/article/52/D1/D882/7288834
空间转录组数据库如雨后春笋般冒出来了,今天我们要介绍的是CROST,该网站链接:https://ngdc.cncb.ac.cn/crost/
科研人员搜集了来自NCBI、European Bioinformatics Institute (EBI) 、 China National Center for Bioinformation (CNCB)、Broad Institute Single Cell Portal、10× Genomics 、DNA Data Bank of Japan (DDBJ)的数据,采用关键词 ‘spatial transcriptomics’, ‘spatial transcriptome’, ‘spatial genome’, ‘spatial RNA-seq’ and ‘spatial sequencing.’
最后拿到了182 个空间转录组数据集,涵盖来自 8 个不同物种( (Homo sapiens, Mus musculus, Danio rerio, Gallus gallus, Canis lupus familiaris, Phalaenopsis aphrodite and Rattus norvegicus))、35 种组织和 56 种疾病的 1033 个样本。
CROST 包括四个主要模块:
Browse module: basic information, sample characteristics, biological status, experimental protocols, and quality assessment
Cancer SVG module: 48043 SVGs significantly enriched primarily in the kidney cancer (8323 genes), liver cancer (6380 genes) and melanoma (5964 genes)
Online analysis module:ssGSEA + SpatialAP
Explore module: visualization, communication, cell-type colocalization, and cell-type correlation
另外分享其它实用的空间转录组数据库
强烈建议你推荐给身边的博士后以及年轻生物学PI,多一点数据认知,让他们的科研上一个台阶:
https://mp.weixin.qq.com/s/j6yrLYqaV4Cz7sFCTrevUA