Gene Expression Nebulas
基于标准化流程分析的转录图谱综合数据库

Gene Expression Nebulas

多物种转录图谱整合数据库

PRJNA417193: Precursors of human CD4+ cytotoxic T lymphocytes identified by single-cell transcriptome analysis [10X genomics]

来源: NCBI / GSE106543
提交时间: Nov 05 2017
释放时间: Feb 03 2018
最后更新时间: May 15 2019

概要: CD4+ cytotoxic T lymphocytes (CD4-CTLs) have been reported to play a protective role in several viral infections. However, little is known in humans about the biology of CD4-CTL generation, their functional properties, heterogeneity and clonal diversity, especially in relation to other well-described CD4+ memory T cell subsets. We performed single-cell RNA-seq in over 9000 cells to unravel CD4-CTL heterogeneity, transcriptional profile and clonality in humans. The single-cell differential gene expression analysis, revealed a spectrum of known transcripts, including several linked to cytotoxic and co-stimulatory function, and transcripts of unknown cytotoxicity-related function that are expressed at higher levels in the TEMRA subset, which is highly enriched for CD4-CTLs, compared to cells in the central and effector memory subsets (TCM, TEM). Simultaneous T cells antigen receptor (TCR) analysis in single-cells and bulk subsets revealed that CD4-TEMRA cells show marked clonal expansion compared to TCM and TEM cells and that the majority of CD4-TEMRA were dengue virus (DENV)-specific in subjects with previous DENV infection. The profile of CD4-TEMRA was highly heterogeneous across subjects, with four distinct clusters identified by the single-cell analysis. Most importantly, we identified distinct clusters of CD4-CTL effector and precursor cells in the TEMRA subset; the precursor cells shared TCR clonotypes with CD4-CTL effectors and were distinguished by high expression of the interleukin-7 receptor. Our identification of a CD4-CTL precursor population may allow further investigation of how CD4-CTLs arise in humans and thus could provide insights into the mechanisms that may be utilized to generate durable and effective CD4-CTL immunity.

项目整体设计: Single cell RNA-seq analysis of purified populations of human CD4 memory cell subsets by both bulk TCR-sequencing.

GEN 数据集:
GEND000089
测序方法:
物种:
健康状况:
细胞类型:
方案
生长方案: CD4 memory cell types were isolated from PBMCs and directly sorted by Flow cytometry into 50% FBS. No particular cell growth procedure was required.
处理方案: No particular treatment was done to the PBMC. PBMCs were immuno stained and FACS sorted into 50% FBS and processed for single-cell RNA-seq using 10X genomics.
提取方案: Single-cell RNA-seq using 10X genomics platform was performed using Chromium™ Single Cell 3' v2 Reagent Kits following the manufacturer’s protocol (Zheng et. al., 2017).
建库方案: Libraries were constructed using Chromium™ Single Cell 3' v2 Reagent Kits following the manufacturer’s protocolLibraries were sequenced on HiSeq2500 platform to obtain 100 and 32-bp paired end reads using the following read length; read 1, 26 cycles, read 2, 98 cycles and i7 index, 8 cycles.
测序信息
分子类型: poly(A)+ RNA
库的片段类型: PAIRED
库的链类型: Forward
测序平台: ILLUMINA
测序仪型号: Illumina HiSeq 2500
链特异性: Specific
样本
基本信息:
样本描述:
生物条件:
实验变量:
方案:
测序信息:
质量评估:
数据来源 GEN样本编号 GEN数据集编号 系列编号 项目编号 样本编号 样本名称 生物样本编号 样本访问号 实验访问号 释放时间 提交时间 最后更新时间 物种 种族 族裔 年龄 年龄单位 性别 来源名称 组织 细胞类型 细胞亚型 细胞系 疾病 疾病状态 发育阶段 突变/变异 表型 Condition Detail 生长方案 处理方案 提取方案 建库方案 分子类型 库的片段类型 链特异性 库的链类型 加标(Spike-In) 测序方法 测序平台 测序仪型号 细胞数 测序片段数 碱基数 平均测序片段长度_1 平均测序片段长度_2 唯一比对率 多重比对率 覆盖度
文章
Precursors of human CD4+ cytotoxic T lymphocytes identified by single-cell transcriptome analysis.
Science immunology . 2018-01-01 [PMID: 29352091]