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.
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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. |
Molecule Type: | poly(A)+ RNA |
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Library Layout: | PAIRED |
Library Strand: | Forward |
Platform: | ILLUMINA |
Instrument Model: | Illumina HiSeq 2500 |
Strand-Specific: | Specific |
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 |
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