• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

CROST:一个综合性的空间转录组学知识库。

CROST: a comprehensive repository of spatial transcriptomics.

机构信息

CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation, Beijing 100101, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Nucleic Acids Res. 2024 Jan 5;52(D1):D882-D890. doi: 10.1093/nar/gkad782.

DOI:10.1093/nar/gkad782
PMID:37791883
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10773281/
Abstract

The development of spatial transcriptome sequencing technology has revolutionized our comprehension of complex tissues and propelled life and health sciences into an era of spatial omics. However, the current availability of databases for accessing and analyzing spatial transcriptomic data is limited. In response, we have established CROST (https://ngdc.cncb.ac.cn/crost), a comprehensive repository of spatial transcriptomics. CROST encompasses high-quality samples and houses 182 spatial transcriptomic datasets from diverse species, organs, and diseases, comprising 1033 sub-datasets and 48 043 tumor-related spatially variable genes (SVGs). Additionally, it encompasses a standardized spatial transcriptome data processing pipeline, integrates single-cell RNA sequencing deconvolution spatial transcriptomics data, and evaluates correlation, colocalization, intercellular communication, and biological function annotation analyses. Moreover, CROST integrates the transcriptome, epigenome, and genome to explore tumor-associated SVGs and provides a comprehensive understanding of their roles in cancer progression and prognosis. Furthermore, CROST provides two online tools, single-sample gene set enrichment analysis and SpatialAP, for users to annotate and analyze the uploaded spatial transcriptomics data. The user-friendly interface of CROST facilitates browsing, searching, analyzing, visualizing, and downloading desired information. Collectively, CROST offers fresh and comprehensive insights into tissue structure and a foundation for understanding multiple biological mechanisms in diseases, particularly in tumor tissues.

摘要

空间转录组测序技术的发展彻底改变了我们对复杂组织的理解,并将生命和健康科学推向了空间组学时代。然而,目前可用于访问和分析空间转录组数据的数据库有限。有鉴于此,我们建立了 CROST(https://ngdc.cncb.ac.cn/crost),这是一个全面的空间转录组学数据库。CROST 包含高质量的样本,收纳了来自不同物种、器官和疾病的 182 个空间转录组数据集,包含 1033 个子数据集和 48043 个与肿瘤相关的空间可变基因(SVGs)。此外,它还包含标准化的空间转录组数据处理流程,集成了单细胞 RNA 测序去卷积空间转录组数据,并评估了相关性、共定位、细胞间通讯和生物学功能注释分析。此外,CROST 整合了转录组、表观基因组和基因组,以探索与肿瘤相关的 SVGs,并全面了解它们在癌症进展和预后中的作用。此外,CROST 提供了两个在线工具,即单样本基因集富集分析和 SpatialAP,供用户对上传的空间转录组数据进行注释和分析。CROST 的用户友好界面方便浏览、搜索、分析、可视化和下载所需信息。总之,CROST 为理解组织结构和多种疾病的生物学机制提供了新的、全面的视角,特别是在肿瘤组织中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bba/10773281/a70d12952292/gkad782fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bba/10773281/3ef7c3b74543/gkad782figgra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bba/10773281/4a416b56c6ac/gkad782fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bba/10773281/6804c3d0d4d6/gkad782fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bba/10773281/a70d12952292/gkad782fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bba/10773281/3ef7c3b74543/gkad782figgra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bba/10773281/4a416b56c6ac/gkad782fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bba/10773281/6804c3d0d4d6/gkad782fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bba/10773281/a70d12952292/gkad782fig3.jpg

相似文献

1
CROST: a comprehensive repository of spatial transcriptomics.CROST:一个综合性的空间转录组学知识库。
Nucleic Acids Res. 2024 Jan 5;52(D1):D882-D890. doi: 10.1093/nar/gkad782.
2
STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization.STOmicsDB:一个用于空间转录组学数据共享、分析和可视化的综合数据库。
Nucleic Acids Res. 2024 Jan 5;52(D1):D1053-D1061. doi: 10.1093/nar/gkad933.
3
Computational solutions for spatial transcriptomics.空间转录组学的计算解决方案。
Comput Struct Biotechnol J. 2022 Sep 1;20:4870-4884. doi: 10.1016/j.csbj.2022.08.043. eCollection 2022.
4
Gene Expression Nebulas (GEN): a comprehensive data portal integrating transcriptomic profiles across multiple species at both bulk and single-cell levels.基因表达星云 (GEN):一个综合性的数据门户,整合了多个物种在 bulk 和单细胞水平的转录组谱。
Nucleic Acids Res. 2022 Jan 7;50(D1):D1016-D1024. doi: 10.1093/nar/gkab878.
5
SORC: an integrated spatial omics resource in cancer.SORC:癌症综合空间组学资源。
Nucleic Acids Res. 2024 Jan 5;52(D1):D1429-D1437. doi: 10.1093/nar/gkad820.
6
SpatialDB: a database for spatially resolved transcriptomes.SpatialDB:一个用于空间分辨转录组学的数据库。
Nucleic Acids Res. 2020 Jan 8;48(D1):D233-D237. doi: 10.1093/nar/gkz934.
7
SPASCER: spatial transcriptomics annotation at single-cell resolution.SPASCER:单细胞分辨率的空间转录组学注释。
Nucleic Acids Res. 2023 Jan 6;51(D1):D1138-D1149. doi: 10.1093/nar/gkac889.
8
TIST: Transcriptome and Histopathological Image Integrative Analysis for Spatial Transcriptomics.TIST:转录组和组织病理学图像综合分析用于空间转录组学。
Genomics Proteomics Bioinformatics. 2022 Oct;20(5):974-988. doi: 10.1016/j.gpb.2022.11.012. Epub 2022 Dec 19.
9
HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics.HEARTSVG:一种快速准确的方法,用于识别大规模空间转录组学中空间变异基因。
Nat Commun. 2024 Jul 7;15(1):5700. doi: 10.1038/s41467-024-49846-1.
10
TCOD: an integrated resource for tropical crops.TCOD:热带作物综合资源。
Nucleic Acids Res. 2024 Jan 5;52(D1):D1651-D1660. doi: 10.1093/nar/gkad870.

引用本文的文献

1
Spatial Domain-Based Approach to Analyze the Mechanism of Sparganii Rhizoma-Curcumae Rhizoma Pair in the Treatment of Colorectal Cancer.基于空间域的方法分析三棱-莪术药对治疗结直肠癌的机制
Food Sci Nutr. 2025 Aug 19;13(8):e70794. doi: 10.1002/fsn3.70794. eCollection 2025 Aug.
2
Cooling Blood and Detoxicating Formula Treats Psoriasis Through RHCG-Related Mechanisms.凉血解毒方通过与RHCG相关的机制治疗银屑病。
Int J Genomics. 2025 Jul 9;2025:5132158. doi: 10.1155/ijog/5132158. eCollection 2025.
3
DeepCCDS: Interpretable Deep Learning Framework for Predicting Cancer Cell Drug Sensitivity through Characterizing Cancer Driver Signals.

本文引用的文献

1
AATF inhibition exerts antiangiogenic effects against human hepatocellular carcinoma.AATF抑制对人肝细胞癌具有抗血管生成作用。
Front Oncol. 2023 Jun 9;13:1130380. doi: 10.3389/fonc.2023.1130380. eCollection 2023.
2
Spatial Transcriptomics Depict Ligand-Receptor Cross-talk Heterogeneity at the Tumor-Stroma Interface in Long-Term Ovarian Cancer Survivors.空间转录组学描绘了长期卵巢癌幸存者肿瘤-基质界面上配体-受体相互作用的异质性。
Cancer Res. 2023 May 2;83(9):1503-1516. doi: 10.1158/0008-5472.CAN-22-1821.
3
Combined Single-Cell and Spatial Transcriptomics Reveal the Metabolic Evolvement of Breast Cancer during Early Dissemination.
深度CCDS:通过表征癌症驱动信号预测癌细胞药物敏感性的可解释深度学习框架。
Adv Sci (Weinh). 2025 Jun;12(23):e2416958. doi: 10.1002/advs.202416958. Epub 2025 May 21.
4
Cell-type deconvolution methods for spatial transcriptomics.用于空间转录组学的细胞类型反卷积方法。
Nat Rev Genet. 2025 May 14. doi: 10.1038/s41576-025-00845-y.
5
Hypoxia-induced RHCG as a key regulator in psoriasis and its modulation by secukinumab.缺氧诱导的RHCG作为银屑病的关键调节因子及其被司库奇尤单抗的调节作用
APL Bioeng. 2025 May 9;9(2):026115. doi: 10.1063/5.0250742. eCollection 2025 Jun.
6
HISSTA: a human in situ single-cell transcriptome atlas.HISSTA:一个人类原位单细胞转录组图谱。
Bioinformatics. 2025 Mar 29;41(4). doi: 10.1093/bioinformatics/btaf142.
7
A Multi-Omics-Based Exploration of the Predictive Role of MSMB in Prostate Cancer Recurrence: A Study Using Bayesian Inverse Convolution and 10 Machine Learning Combinations.基于多组学探索MSMB在前列腺癌复发中的预测作用:一项使用贝叶斯反卷积和10种机器学习组合的研究
Biomedicines. 2025 Feb 16;13(2):487. doi: 10.3390/biomedicines13020487.
8
DSCC1 Identified as Promising Tumor Biomarker and Potential Therapeutic Target Through Comprehensive Multi-omics Analysis and Experimental Validation.通过综合多组学分析和实验验证,DSCC1被确定为有前景的肿瘤生物标志物和潜在治疗靶点。
Mol Biotechnol. 2025 Feb 24. doi: 10.1007/s12033-025-01404-w.
9
Spatial Transcriptomics in Human Cardiac Tissue.人类心脏组织中的空间转录组学
Int J Mol Sci. 2025 Jan 24;26(3):995. doi: 10.3390/ijms26030995.
10
A practical guide to FAIR data management in the age of multi-OMICS and AI.多组学与人工智能时代公平数据管理实用指南。
Front Immunol. 2025 Jan 20;15:1439434. doi: 10.3389/fimmu.2024.1439434. eCollection 2024.
单细胞联合空间转录组解析早期转移乳腺癌代谢演变
Adv Sci (Weinh). 2023 Feb;10(6):e2205395. doi: 10.1002/advs.202205395. Epub 2023 Jan 3.
4
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2023.2023 年中国国家生物信息中心国家基因组学数据中心数据库资源。
Nucleic Acids Res. 2023 Jan 6;51(D1):D18-D28. doi: 10.1093/nar/gkac1073.
5
Effect of the intratumoral microbiota on spatial and cellular heterogeneity in cancer.肿瘤内微生物群对癌症空间和细胞异质性的影响。
Nature. 2022 Nov;611(7937):810-817. doi: 10.1038/s41586-022-05435-0. Epub 2022 Nov 16.
6
Recent advances in high-throughput single-cell transcriptomics and spatial transcriptomics.高通量单细胞转录组学和空间转录组学的最新进展。
Lab Chip. 2022 Dec 6;22(24):4774-4791. doi: 10.1039/d2lc00633b.
7
SPASCER: spatial transcriptomics annotation at single-cell resolution.SPASCER:单细胞分辨率的空间转录组学注释。
Nucleic Acids Res. 2023 Jan 6;51(D1):D1138-D1149. doi: 10.1093/nar/gkac889.
8
Aquila: a spatial omics database and analysis platform.Aquila:一个空间组学数据库和分析平台。
Nucleic Acids Res. 2023 Jan 6;51(D1):D827-D834. doi: 10.1093/nar/gkac874.
9
The expanding vistas of spatial transcriptomics.空间转录组学的广阔视野。
Nat Biotechnol. 2023 Jun;41(6):773-782. doi: 10.1038/s41587-022-01448-2. Epub 2022 Oct 3.
10
Liver macrophages in health and disease.肝脏巨噬细胞在健康和疾病中的作用。
Immunity. 2022 Sep 13;55(9):1515-1529. doi: 10.1016/j.immuni.2022.08.002.