A survey of human brain transcriptome diversity at the single cell level

ChEBI2015-05-20 更新2026-07-12 收录

单细胞转录组学

脑细胞图谱

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-67835 数据链接链接失效反馈

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A survey of human brain transcriptome diversity at the single cell level

创建时间：

2015-05-20

DataSheet_1_Single-cell gene expression analysis of cryopreserved equine bronchoalveolar cells.zip

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

Single-Cell RNA Sequencing Reveals Unique Gene Expression Profiles in porcine cells infected with attenuated Foot-and-mouth disease virus strains

单细胞转录组学

口蹄疫疫苗

Foot and mouth disease (FMD), caused by the FMD virus (FMDV), is a highly contagious disease affecting cloven-hoofed animals with significant economic implications. Modified live attenuated vaccine (L

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

A survey of human brain transcriptome diversity at the single cell level

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