Sharing data from the Human Tumor Atlas Network through standards, infrastructure and community engagement.

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Ino de Bruijn, Milen Nikolov, Clarisse Lau, Ashley Clayton, David L Gibbs, Elvira Mitraka, Dar'ya Pozhidayeva, Alex Lash, Selcuk Onur Sumer, Jennifer Altreuter, Kristen Anton, Mialy DeFelice, Xiang Li, Aaron Lisman, William J R Longabaugh, Jeremy Muhlich, Sandro Santagata, Subhiksha Nandakumar, Peter K Sorger, Christine Suver, Xengie Doan, Justin Guinney, Nikolaus Schultz, Adam J Taylor, Vésteinn Thorsson, Ethan Cerami, James A Eddy
{"title":"Sharing data from the Human Tumor Atlas Network through standards, infrastructure and community engagement.","authors":"Ino de Bruijn, Milen Nikolov, Clarisse Lau, Ashley Clayton, David L Gibbs, Elvira Mitraka, Dar'ya Pozhidayeva, Alex Lash, Selcuk Onur Sumer, Jennifer Altreuter, Kristen Anton, Mialy DeFelice, Xiang Li, Aaron Lisman, William J R Longabaugh, Jeremy Muhlich, Sandro Santagata, Subhiksha Nandakumar, Peter K Sorger, Christine Suver, Xengie Doan, Justin Guinney, Nikolaus Schultz, Adam J Taylor, Vésteinn Thorsson, Ethan Cerami, James A Eddy","doi":"10.1038/s41592-025-02643-0","DOIUrl":null,"url":null,"abstract":"<p><p>Data from the first phase of the Human Tumor Atlas Network (HTAN) are now available, comprising 8,425 biospecimens from 2,042 research participants profiled with more than 20 molecular assays. The data were generated to study the evolution from precancerous to advanced disease. The HTAN Data Coordinating Center (DCC) has enabled their dissemination and effective reuse. We describe the diverse datasets, how to access them, data standards, underlying infrastructure and governance approaches, and our methods to sustain community engagement. HTAN data can be accessed through the HTAN Portal, explored in visualization tools-including CellxGene, Minerva and cBioPortal-and analyzed in the cloud through the NCI Cancer Research Data Commons. Infrastructure was developed to enable data ingestion and dissemination through the Synapse platform. The HTAN DCC's flexible and modular approach to sharing complex cancer research data offers valuable insights to other data-coordination efforts and researchers looking to leverage HTAN data.</p>","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":" ","pages":""},"PeriodicalIF":36.1000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Methods","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41592-025-02643-0","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Data from the first phase of the Human Tumor Atlas Network (HTAN) are now available, comprising 8,425 biospecimens from 2,042 research participants profiled with more than 20 molecular assays. The data were generated to study the evolution from precancerous to advanced disease. The HTAN Data Coordinating Center (DCC) has enabled their dissemination and effective reuse. We describe the diverse datasets, how to access them, data standards, underlying infrastructure and governance approaches, and our methods to sustain community engagement. HTAN data can be accessed through the HTAN Portal, explored in visualization tools-including CellxGene, Minerva and cBioPortal-and analyzed in the cloud through the NCI Cancer Research Data Commons. Infrastructure was developed to enable data ingestion and dissemination through the Synapse platform. The HTAN DCC's flexible and modular approach to sharing complex cancer research data offers valuable insights to other data-coordination efforts and researchers looking to leverage HTAN data.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信