Temporally integrated single cell RNA sequencing analysis of controlled and natural DENV-1 infections
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ABSTRACT:
PROVIDER: PRJNA646102 | ENA |
REPOSITORIES: ENA
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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.
2021-01-01 | GSE154386 | GEO
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Project description:Viable T cells (CD3+ CD19-) and B cells (CD3- CD19+) were sorted from PBMC samples obtained from 1 individual experiencing a natural secondary DENV infection. Single cell RNA sequencing analysis was performed on 3 time points
2020-05-17 | GSE147104 | GEO
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.
2022-08-30 | GSE182482 | GEO
Project description:The objective of this analysis was to determine the transcriptional signature associated with experimental primary DENV-3 infection in human volunteers. Nine flavivirus naive volunteers were challenged with an attenuated DENV-3 strain - CH53489 - and blood collected for RNA extraction and transcriptional analysis on or around study days 0, 6, 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.
2024-02-26 | GSE216328 | GEO
Project description:Detection of DENV infected cells following natural dengue infection
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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
2020-04-22 | GSE145307 | GEO
Project description:Background. Dengue caused by dengue virus (DENV) serotypes -1 to -4 is the most important mosquito-borne viral disease in the tropical and sub-tropical countries worldwide. Yet many of the pathophysiological mechanisms of host responses during DENV infection remain largely unknown and incompletely understood. Methods. Using a mouse model, the miRNA expressions in liver during DENV-1 infection was investigated using high throughput miRNA sequencing. The differential expression of miRNAs were then validated by qPCR, followed by target genes prediction. The identified miRNA targets were subjected to gene ontology (GO) annotation and pathway enrichment analysis to elucidate the potential biological pathways and molecular mechanisms associated with DENV-1 infection. Results. A total of 224 and 372 miRNAs out of 433 known mouse miRNAs were detected in the livers of DENV-1-infected and uninfected mice, respectively; of these, 207 miRNAs were present in both libraries. The miR-148a-3p and miR-122-5p were the two most abundant miRNAs in both groups. Thirty-one miRNAs were found to have at least 2-fold change in upregulation or downregulation, in which seven miRNAs were upregulated and 24 miRNAs were downregulated in the DENV-1-infected mouse livers. The miR-1a-3p was found to be the most downregulated miRNA in the DENV-1-infected mouse livers, with a significant fold change of 0.10. To validate the miRNA sequencing result, the expression pattern of 12 miRNAs, which were highly differentially expressed or most abundant, were accessed by qPCR and nine of them correlated positively with the one observed in deep sequencing. In silico functional analysis revealed that the adaptive immune responses involving TGF-beta, MAPK, PI3K-Akt, Rap1, Wnt and Ras signalling pathways were modulated collectively by 23 highly differentially expressed miRNAs during DENV-1 infection. Conclusion. This study provides the first insight into the global miRNA expressions of mouse livers in response to DENV-1 infection in vivo and the possible roles of miRNAs in modulating the adaptive immune responses during DENV-1 infection.
2019-03-05 | GSE123346 | GEO
Project description:To identify which genes could be modulated by DENV infection in human dendritic cells (DCs)
2021-04-21 | GSE172293 | GEO
Project description:The present study aimed at studying the rainbow trout egg transcriptome using 9152-cDNA microarrays after natural or controlled ovulation. The analysis of egg transcriptome after natural or controlled ovulation led to the identification of 26 genes. We observed that both hormonal induction and photoperiod control of ovulation induced significant changes in the egg mRNA abundance of specific genes. We demonstrate that hormonal induction of ovulation has an impact on the egg mRNA abundance of specific genes even though the resulting effects on the developmental potential of the egg is so far unknown. In addition, we also identified 1 gene exhibiting a differential mRNA abundance in eggs of varying developmental potential. Analysis of egg transcriptome after natural ovulation (4 samples), photoperiod-controlled ovulation (14 samples), and hormonally-induced ovulation (11 samples).
2010-07-01 | E-GEOD-5928 | biostudies-arrayexpress