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Supporting datasets for: Mutation-resolved single-cell transcriptomics reveals enhanced β-amyloid clearance in TET2-mutant human monocytes

ChEBI2026-06-16 更新2026-07-12 收录

单细胞转录组学

阿尔茨海默病机制

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-17157 数据链接链接失效反馈

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资源简介：

Supporting datasets for: Mutation-resolved single-cell transcriptomics reveals enhanced β-amyloid clearance in TET2-mutant human monocytes

应用场景：

创建时间：

2026-06-16

单细胞转录组学

马哮喘免疫病理学

The transcriptomic profile of a cell population can now be studied at the cellular level using single-cell mRNA sequencing (scRNA-seq). This novel technique provides the unprecedented opportunity to e

NIAID Data Ecosystem20

COVID-19 immune features revealed by a large-scale single cell transcriptome atlas. Ren et al.

单细胞转录组学

COVID-19免疫反应

Supplemental information of the study entitiled "COVID-19 immune features revealed by a large-scale single cell transcriptome atlas".

NIAID Data Ecosystem10

Structural and functional dissection of Pacinian corpuscle reveals a multicellular mechanism of touch detection independent of the outer core. Structural and functional dissection of Pacinian corpuscle reveals a multicellular mechanism of touch detection independent of the outer core

触觉感受机制

单细胞转录组学

Lamellated corpuscles are rapidly adapting mechanoreceptors that detect transient touch and high-frequency vibration in many vertebrates. It the prevailing model, these properties are determined by ou

NIAID Data Ecosystem00

Single-nucleus RNA sequencing of gastrocnemius and plantaris muscles.

单细胞转录组学

基因表达分析

Skeletal muscle is composed of multinucleated myofibers, in which nuclei share the cytoplasm, and other cell types. Here, we performed single-nucleus RNA sequencing (snRNA-Seq) to determine the gene e

NIAID Data Ecosystem20

Single-cell gene expression profiles of hESC-derived retinal organoid progenitor cells and photoreceptor precursors from deep full-length scRNA-seq.

单细胞转录组学

光感受器发育轨迹分析

Human retinal organoids have been invaluable in vitro models of retinal development and disease. To investigate whether cell states and gene expression changes observed in human fetal cone development

NIAID Data Ecosystem10

Supporting datasets for: Mutation-resolved single-cell transcriptomics reveals enhanced β-amyloid clearance in TET2-mutant human monocytes

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