EWSR1-NFATc2融合阳性肉瘤多尺度组学评估数据记录

EWSR1-NFATc2融合阳性肉瘤多尺度组学数据,涵盖基因组、转录组、药物敏感性和拷贝数等,用于靶向治疗研究。

Figshare
2021-04-22 更新
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多模态sarcomasEWSR1 fusion positiveEwing sarcoma gene expression database
Multiscale -omic assessment of EWSR1-NFATc2 fusion positive sarcomas data record

基本信息

模态
多模态
大小
0.000055576 GB
许可
CC BY 4.0
创建/更新时间
2021-04-22
版本
v1

资源简介

EWSR1-NFATc2融合阳性肉瘤多尺度组学评估数据记录

【数据集背景】

本数据集源站标题为《Data record for the article: Multiscale -omic assessment of EWSR1-NFATc2 fusion positive sarcomas identifies the mTOR pathway as a potential therapeutic target》。配套论文《Multiscale-omic assessment of EWSR1-NFATc2 fusion positive sarcomas identifies the mTOR pathway as a potential therapeutic target》发表于 npj Precision Oncology(2021),DOI:10.1038/s41698-021-00177-0。项目资助方:Foundation Medicine。源站首次发布:2021-04-22。

【数据内容】

源站原始描述:This record provides details of the data supporting the claims of the related article: “Multiscale -omic assessment of EWSR1-NFATc2 fusion positive sarcomas identifies the mTOR pathway as a potential therapeutic target”. The related study aimed to generate genomic profiles of EWSR1 fusion positive sarcomas to support the use of precision medicine in the development of therapeutics for the Ewing family of tumors. Type of data: Genomic profiling data; Gene expression data; Drug sensitivity data; T…

【数据结构与技术规格】

文件数 1 个,合计 55.58 KB。Variants observed in EWSR1-NFATc2 sarcoma.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,55.58 KB。数据集 DOI:10.6084/m9.figshare.14270366。

【主题与分类】

源站学科分类:Cancer Genetics、Medical and Health Sciences not elsewhere classified、Oncology and Carcinogenesis not elsewhere classified。主题标签:sarcomas、EWSR1 fusion positive、Ewing sarcoma gene expression database。

【适用方向】

多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。

【获取与许可】

源站页面:https://springernature.figshare.com/articles/dataset/Data_record_for_the_article_Multiscale_-omic_assessment_of_EWSR1-NFATc2_fusion_positive_sarcomas_identifies_the_mTOR_pathway_as_a_potential_therapeutic_target/14270366

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Seligson, Nathan D.; Maradiaga, Richard D.; Stets, Colin M.; Katzenstein, Howard M.; Millis, Sherri Z.; Rogers, Alan; et al. (2021). Data record for the article: Multiscale -omic assessment of EWSR1-NFATc2 fusion positive sarcomas identifies the mTOR pathway as a potential therapeutic target. figsha…

【使用注意】

· 源站最后修改于 2023-06-02,引用时请注意版本时效。

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下载信息

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使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Variants observed in EWSR1-NFATc2 sarcoma.xlsx" "https://ndownloader.figshare.com/files/27069569"

文件清单

  • Variants observed in EWSR1-NFATc2 sarcoma.xlsx(55.58 KB)

文件总体积 55.58 KB(源站 API 实测)。

数据说明

This record provides details of the data supporting the claims of the related article: “Multiscale -omic assessment of EWSR1-NFATc2 fusion positive sarcomas identifies the mTOR pathway as a potential therapeutic target”.
The related study aimed to generate genomic profiles of EWSR1 fusion positive sarcomas to support the use of precision medicine in the development of therapeutics for the Ewing family of tumors.

Type of data: Genomic profiling data; Gene expression data; Drug sensitivity data; TCGA datasets, copy number data; case report data
Subject of data: EWSR1 fusion positive sarcoma patients
Sample size: 1,024 retrospectively analysed samples, 1 case report

Data access
The genomic profiling of pathogenic variants in EWSR1-NFATc2 fusion positive sarcomas are openly available as part of this figshare metadata record in the file ‘Variants observed in EWSR1-NFATc2 sarcoma.xlsx’.

The gene expression data used in this study are openly available from the Gene Expression Omnibus repository via the following accessions: https://identifiers.org/geo:GSE60740 and https://identifiers.org/geo:GSE34620.

The drug sensitivity data files used in this study were Cell_Lines_Details.xlsx; GDSC1_fitted_dose_response_17Jul19.xlsx; GDSC2_fitted_dose_response_17Jul19.xlsx; mutations_latest.csv; gene_cnv_2019-04-15_1109.csv; rnaseq_latest.csv. All of these files are openly accessible from the Genomics of Drug Sensitivity in Cancer Database (https://www.cancerrxgene.org/).

The TCGA dataset files used in this study were the Clinical merged and illuminahiseq_rnaseqv2-RSEM_genes_normalized files for each of the 33 cancer types. All of these files are openly accessible from firebrowse.org (http://gdac.broadinstitute.org/runs/stddata__2016_01_28/data/).

The copy number data files for each of the 33 cancer types were downloaded from cBioPortal (https://www.cbioportal.org/).

The case report data cannot be openly shared in order to protect patient confidentiality De-identified information is available in the text and supplemental figures of the related article. Clinical and genomic data for this case can be made available on request.

Corresponding author for this study
Jame

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14270366(source: https://springernature.figshare.com/articles/dataset/Data_record_for_the_article_Multiscale_-omic_assessment_of_EWSR1-NFATc2_fusion_positive_sarcomas_identifies_the_mTOR_pathway_as_a_potential_therapeutic_target/14270366)。

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