five

Single-cell RNA-sequencing analysis of Arabidopsis roots

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE123013
下载链接
链接失效反馈
官方服务:
资源简介:
We report the use of high-throughput single-cell RNA sequencing (scRNA-seq) to analyze gene expression in wild-type and mutant Arabidopsis root cells.  We demonstrate that using a commercially available platform for droplet-based scRNA-seq (10X Genomics Chromium) enables transcriptional profiling of individual protoplasts representing all of the major cell/tissue types of the root.  Furthermore, rare cell types and subtypes have been identified.  These single-cell transcriptomes were also used to generate a pseudotime series for the root hair and non-hair cell differentiation pathways.  In addition, scRNA-seq was used to define and compare transcriptomes from root epidermis mutants, which enabled a detailed molecular analysis of the mutant phenotype.  This study demonstrates the feasibility and usefulness of scRNA-seq in plants and provides a gene expression map at single-cell resolution for the Arabidopsis root. Analysis of gene expression among WT(Col-0), hairless mutant(rhd6-1) and hairy mutant(gl2) at the single cell level
创建时间:
2020-06-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作