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Multi-platform single cell transcriptomic profiling as a benchmarking resource

ChEBI2019-03-01 更新2026-07-12 收录

单细胞转录组学

技术基准测试

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-7239 数据链接链接失效反馈

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Multi-platform single cell transcriptomic profiling as a benchmarking resource

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创建时间：

2019-03-01

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 of mouse alveolar bone(10x genomics). Mus musculus

单细胞转录组学

牙槽骨研究

Single cell RNA sequencing of mouse alveolar bone(10x genomics)

NIAID Data Ecosystem10

A protoplasting-free approach for high-throughput full-length single-cell RNA profiling in plants

单细胞转录组学

高通量单细胞RNA分析

A protoplasting-free approach for high-throughput full-length single-cell RNA profiling in plants.

NIAID Data Ecosystem20

Cellular composition of murine mitral valves during autoimmune valvular carditis

心脏免疫病理学

单细胞转录组学

To characterize the cell types that compose the mitral valve during the development of autoimmune valvular carditis, we utilized scRNA sequencing. Live cells from inflamed valves of K/B.g7 mice or uni

NIAID Data Ecosystem10

Multi-platform single cell transcriptomic profiling as a benchmarking resource

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