Single-cell transcriptome analysis of aging brain

Alliance of Genome Resources2026-08-01 收录

单细胞转录组学

衰老研究

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http://www.informatics.jax.org/gxd/htexp_index/summary?arrayExpressID=GSE169606 数据链接链接失效反馈

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Single-cell transcriptome analysis of 1-month, 6-month, 20-month brain

针对1月龄、6月龄、20月龄大脑的单细胞转录组分析

Single cell transcriptomes from mouse cerebellum

单细胞转录组学

小脑神经科学

species : Mus musculus sex : male strain : C57BL/6J age : post-natal day 40 P40, mouse cerebellum single cells were obtained by Papain dissociation (Worthington), and neuronal enrichment was a

NIAID Data Ecosystem20

RNA velocity objects of FACS-sorted (CD31+/CD45-) endothelial cells of overall merge of pathological entities (brain tumors and brain vascular malformations)

单细胞转录组学

脑血管病理学

RNA velocity objects (zip files of .h5ad) of FACS-sorted (CD31+/CD45-) endothelial cells of overall merge of pathological entities (brain tumors and brain vascular malformations): -> part of the manu

Zenodo2024-07-10 更新00

Fc-enhanced anti-CTLA-4 targets tumor-infiltrating regulatory T cells to augment immune effects of androgen ablation in high-risk prostate cancer

肿瘤免疫治疗

单细胞转录组学

Single-cell RNA-Sequencing Data and analysis code used for analyses performed in the manuscript "Fc-enhanced anti-CTLA-4 depletes tumor-infiltrating regulatory T cells to augment immune effects of and

NIAID Data Ecosystem00

DataSheet_3_Establishing a human bone marrow single cell reference atlas to study ageing and diseases.pdf

单细胞转录组学

衰老研究

IntroductionAgeing in the human bone marrow is associated with immune function decline that results in the elderly being vulnerable to illnesses. A comprehensive healthy bone marrow consensus atlas ca

NIAID Data Ecosystem10

Single-cell Transcriptome Landscape and Cell Fate Decoding in Human Brain Organoids after Transplantation

单细胞转录组学

神经再生

Human stem cells and derivatives have been widely used to treat neurological diseases, and the fate of transplantation cells has not been well clarified. In order to explore the changes in fate of the

NIAID Data Ecosystem00

Single-cell transcriptome analysis of aging brain

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