five

Exploring the heterogeneity of sarcoma using single cell sequencing

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://www.omicsdi.org/dataset/ega/EGAS00001002866
下载链接
链接失效反馈
官方服务:
资源简介:
Multi region samples are collected from patients, with consent, immediately after resection of the tumour. Samples are digested and sorted using FACS as single cells into lysis buffer. Cells are then stored until further processing for G&T-seq. After sequencing, we will explore intra-tumour heterogeneity using computational approaches to integrate RNA and DNA data onto the tumour phylogeny This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/EGA study EGAS00001002866

本研究从签署知情同意书的患者处,于肿瘤切除术后即刻采集多区域样本。样本经消化后,采用荧光激活细胞分选术(Fluorescence-Activated Cell Sorting, FACS)将单细胞分选至裂解缓冲液中,随后储存细胞以待后续开展基因组与转录组联合测序(Genome and Transcriptome Sequencing, G&T-seq)的实验处理。测序完成后,本研究将通过计算方法整合RNA与DNA数据至肿瘤系统发育树,以此解析肿瘤内部异质性。 本数据集属于预发布数据范畴。若需了解威康桑格研究所(Wellcome Trust Sanger Institute)共享的预发布数据的规范使用方式(含各类出版禁运细则),请访问 http://www.sanger.ac.uk/datasharing/ 查看EGA研究项目EGAS00001002866的相关说明。
创建时间:
2020-12-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作