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Single cell RNA sequencing analysis of sorted T and B cells following natural primary and secondary DENV infection

ABSTRACT: Single cell RNA sequencing analysis of sorted T and B cells following natural primary and secondary DENV infection

PROVIDER: PRJNA606739 | ENA |

REPOSITORIES: ENA

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Single cell RNA sequencing analysis of sorted T and B cells following natural primary and secondary DENV infection

Project description:Viable T cells (CD3+ CD19-) and B cells (CD3- CD19+) were sorted from PBMC samples obtained from 6 individuals experiencing either natural primary or natural secondary DENV infection. Single cell RNA sequencing analysis was performed on 2-3 time points per subject

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Detection of DENV infected cells following natural dengue infection

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Temporally integrated single cell RNA sequencing analysis of controlled and natural DENV-1 infections

Project description:Controlled dengue human challenge studies present a unique opportunity to address many longstanding questions in the field of flavivirus biology. These fundamental questions include defining the early immunological signatures of infection, the host/environmental factors that impact disease severity, and the role of preexisting immunity on the development of symptomatic viral infection. However, while several controlled dengue human challenge studies have been performed and appear to clinically recapitulate may features of mild natural DENV infection, limited data are available on how the immunological and transcriptional response elicited by these attenuated challenge viruses compares to the profile associated with a natural, unattenuated DENV infection. To bridge this knowledge gap, we performed scRNAseq analysis on longitudinally collected PBMC samples obtained from 3 individuals (8 time points per subject) enrolled in the SUNY/WRAIR DENV-1 controlled human challenge study. In addition, 3 time points (two acute infection time points, one control time point) from two individuals experiencing a natural DENV-1 infection were analyzed and computationally integrated with the challenge model dataset. This temporally integrated dataset contains a total of 171,208 cells and 22 statistically distinct populations corresponding to all major anticipated leukocyte subsets. While all identified cell populations demonstrated significant and consistant perturbations in their transcriptional profile in response to either natural or experimental DENV infection, conventional monocytes respond most robustly to infection across all subjects and study groups from an unbiased transcriptional perspective. Using these data, core sets of genes that were consistently induced by either natural or experimental DENV were identified, and the overlap between the two arms of the study assessed.

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Project description:The objective of this analysis was to determine the transcriptional signature associated with experimental DENV-1 infection in human volunteers. Nine flavivirus naive volunteers were challenged with an attenuated DENV-1 strain - 45AZ5 - and blood collected for RNA extraction and transcriptional analysis on days 0, 8, 10, 14, and 28 post challenge using PAXgene collection tubes. Total RNA was isolated from the collection tubes and subjected to RNAseq analysis to identify genes and gene sets that were differentially expressed across the infection time course.

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Transcriptional and clonal characterization of B cell plasmablast diversity following primary and secondary natural DENV infection.

Project description:Antibody-mediated humoral immunity is thought to play a central role in mediating the immunopathogenesis of acute DENV infection, but limited data are available on the diversity, specificity, and functionality of the antibody response at the molecular level elicited by primary or secondary DENV infection. In order to close this functional gap in our understanding of DENV-specific humoral immunity, we utilized high-throughput single cell RNA sequencing to investigate B cells circulating in both primary and secondary natural DENV infections. We captured full-length paired immunoglobulin receptor sequence data from 9,027 B cells from a total of 6 subjects, including 2,717 plasmablasts. In addition to IgG and IgM class-switched cells, we unexpectedly found a high proportion of the DENV-elicited plasmablasts expressing IgA, principally in individuals with primary DENV infections. These IgA class-switched cells were extensively hypermutated even in individuals with a serologically confirmed primary DENV infection. Utilizing a combination of conventional biochemical assays and high-throughput shotgun mutagenesis, we determined that DENV-reactive IgA class-switched antibodies represent a significant fraction of DENV-reactive Igs generated in response to DENV infection, and that they exhibit a comparable epitope specificity to DENV-reactive IgG antibodies. These results provide insight into the molecular-level diversity of DENV-elicited humoral immunity and identify a heretofore unappreciated IgA plasmablast response to DENV infection.

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Project description:tRNA-derived small RNA including tRNA-derived fragments (tRFs) and tRNA halves (tiRNAs) plays significant roles in the various molecular mechanisms that underlie certain human diseases. of the generation of tRFs/tiRNAs and their potential roles during Dengue virus (DENV) infection is not yet known. Here, we have performed small RNA sequencing to identify the generation and alterations in tRF expression profiles of DENV infected Huh7 cells. Our results suggest that 733 tiRNAs/tRFs were found to be differentially expressed during DENV infection. Interestingly, 3’tRF population were found to be upregulated and i-tRF population were found to be downregulated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed to analyze the impact of differentially expressed tRFs on DENV pathogenesis. Our results suggest the significant involvement in transcriptional regulation via RNA polymerase II promoter and metabolic pathways. Overall, our study contributes significantly to our understanding of the roles played by tRFs in the complex dynamics of DENV infection.

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