Gene Expression Nebulas
A data portal of transcriptomic profiles analyzed by a unified pipeline across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

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

Source: NCBI / GSE106543
Submission Date: Nov 05 2017
Release Date: Feb 03 2018
Update Date: May 15 2019

Summary: 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.

Overall Design: Single cell RNA-seq analysis of purified populations of human CD4 memory cell subsets by both bulk TCR-sequencing.

GEN Datasets:
GEND000089
Strategy:
Species:
Healthy Condition:
Cell Type:
Protocol
Growth Protocol: CD4 memory cell types were isolated from PBMCs and directly sorted by Flow cytometry into 50% FBS. No particular cell growth procedure was required.
Treatment Protocol: 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.
Extract Protocol: 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).
Library Construction Protocol: 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.
Sequencing
Molecule Type: poly(A)+ RNA
Library Source:
Library Layout: PAIRED
Library Strand: Forward
Platform: ILLUMINA
Instrument Model: Illumina HiSeq 2500
Strand-Specific: Specific
Samples
Basic Information:
Sample Characteristic:
Biological Condition:
Experimental Variables:
Protocol:
Sequencing:
Assessing Quality:
Analysis:
Data Resource GEN Sample ID GEN Dataset ID Project ID BioProject ID Sample ID Sample Name BioSample ID Sample Accession Experiment Accession Release Date Submission Date Update Date Species Race Ethnicity Age Age Unit Gender Source Name Tissue Cell Type Cell Subtype Cell Line Disease Disease State Development Stage Mutation Phenotype Case Detail Control Detail Growth Protocol Treatment Protocol Extract Protocol Library Construction Protocol Molecule Type Library Layout Strand-Specific Library Strand Spike-In Strategy Platform Instrument Model Cell Number Reads Number Gbases AvgSpotLen1 AvgSpotLen2 Uniq Mapping Rate Multiple Mapping Rate Coverage Rate
Publications
Precursors of human CD4+ cytotoxic T lymphocytes identified by single-cell transcriptome analysis.
Science immunology . 2018-01-01 [PMID: 29352091]