官方服务:
资源简介:
获取颈动脉狭窄患者的颈动脉血管周围脂肪组织进行单细胞转录组测序数据,并利用半年内是否有短暂性脑缺血发作(TIA)症状以及斑块病理等临床资料进行分组,利用R语言的Seurat包进行下游分析,寻找与斑块稳定性相关的特定细胞类型以及差异表达基因。
应用场景:
提供机构:
中国医学科学院北京协和医院创建时间:
2024-11-24
相关数据集
In vivo development and single-cell transcriptome profiling of human brain organoids in mouse corpus striatum
Human brain organoids are three-dimensional cultures that recapitulate in vivo cell diversity and organization, which provide a novel source for transplantation therapies of neurological disorders. Ho
NIAID Data Ecosystem60
Identification and specification of the mouse skeletal stem cell.. Identification and specification of the mouse skeletal stem cell.
How are skeletal tissues derived from skeletal stem cells? Here, we map bone, cartilage, and stromal development from a population of highly pure, postnatal skeletal stem cells (mouse skeletal stem ce
NIAID Data Ecosystem20
Induction of T cell dysfunction and NK-like T cell differentiation in vitro and in patients after CAR T cell treatment [scRNA-seq]
Chimeric antigen receptor (CAR) T cell therapy has achieved remarkable success in hematological malignancies but remains largely ineffective in solid tumors. A major factor leading to the reduced effi
NIAID Data Ecosystem00
Single-cell RNAseq characterization of anatomically-identified OLM interneurons in different transgenic mouse lines. Single-cell RNAseq characterization of anatomically-identified OLM interneurons in different transgenic mouse lines
Inhibitory GABAergic interneurons create different brain activity patterns that correlate with behavioral states. In this characterizing study, we used single-cell RNAseq to analyze anatomically- and
NIAID Data Ecosystem40
Table 3_Integrative bulk and single-cell transcriptome analyses reveal integrated stress response-related biomarkers in periodontitis with experimental validation.xlsx
BackgroundThis study aimed to investigate the role of integrated stress response (ISR)-related biomarkers in periodontitis (PD). MethodsTranscriptomic data related to PD were obtained from public dat
NIAID Data Ecosystem10



