five

Integrated genomic and transcriptomic analysis improves disease classification and risk stratification of MDS with ring sideroblasts

收藏
DataCite Commons2026-03-23 更新2024-07-13 收录
下载链接:
https://researchdata.se/catalogue/dataset/2023-148/1
下载链接
链接失效反馈
官方服务:
资源简介:
Full transcriptome (RNA-sequencing) from bulk CD34+ bone marrow mononuclear cells from MDS patients with ring sideroblasts. CD34+ cells were isolated from the MNC using AUTO-MACS with double-separation option (Miltenyi Biotec, Germany) and submitted for RNA extraction. RNA was extracted with RNeasy Microkit (Qiagen, Hilden, Germany) and treated with DNase, according to manufacturer instruction. RNA integrity number was estimated using Agilent RNA 6000 Pico (Agilent Technologies, Palo Alto, CA) and was greater than 6.5 for all the samples (median 8.2). The RNA-sequencing (RNA-seq) libraries were prepared from total RNA using SMARTer Stranded Total RNA-Seq Kit v2 Pico Input Mammalian with enzymatic ribosomal depletion (Takara Bio, Japan). Libraries were sequenced using the Novaseq 6000 with paired-end 150bp configuration. The molecular data were integrated with clinical information aiming to improve prognosis prediction in this hematologic malignancy. The dataset consists of 2 files: - FASTQ_RS.tar.gz: compressed folder that includes 258 fastq files - metadata_RS.xlsx The total size of the dataset is approximately 1 TB.
提供机构:
Karolinska Institutet
创建时间:
2023-07-25
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