Splenic memory CD8 T cell signature of enhanced responsiveness to vaccine boost
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA854971 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR19937256.fastq.gz | Fastqsanger.gz | |||
| SRR19937257.fastq.gz | Fastqsanger.gz | |||
| SRR19937258.fastq.gz | Fastqsanger.gz | |||
| SRR19937259.fastq.gz | Fastqsanger.gz | |||
| SRR19937260.fastq.gz | Fastqsanger.gz |
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Project description:The significant economic burden and high mortality rates resulting from seasonal influenza outbreaks, especially in high risk groups such as the elderly, represent an important public health problem. The prevailing inadequate efficacy of seasonal vaccines, both conventional and elderly-tailored, is a crucial bottleneck. Consequentially, understanding immunological and molecular mechanisms resulting in differential influenza vaccine responsiveness is a prerequisite for the development of new or improved vaccination strategies. To assess differences within the specific risk group of the elderly, randomly selected individuals (≥ 65 years) were immunized with the adjuvanted influenza vaccine Fluad®. Samples were subjected to transcriptome analysis. The analyses revealed profound features segregating vaccine responders from nonresponders as classified according to their vaccine-induced sero-conversion. Non-responders are characterized by a poorly functional, suppressive phenotype, showing a weaker humoral and cellular immune activation and more suppressive regulatory T and B cells. Triple responders display an efficient immune functionality characterized by the activation of humoral and cellular immunity and the up-regulation of genes related to signaling pathways, including those for anti-viral responses, protein processing and B cell activation. The generated comprehensive high dimensional dataset enables the identification of putative mechanisms and nodes responsible for vaccine non-responsiveness regardless of confounding age-dependent effects.
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Project description:Similar with others, our data proved that antigen-specific CD8+ T cells from mice primed with DNA and boosted by VACV were much more sensitive to antigen stimulation than those from DNA-boost. Since the mechanisms of in vivo tuning of antigen sensitivity (also termed functional avidity) is still not defined, we compared this two vaccination regimen at gene expression level. Results provide important information of which genes were selectively activated by VACV boost vaccination. For example, data shows that the expression levels of genes involved in Cancer and Wnt signaling pathways is more higher in DNA prime-VACV boost regimen that DNA prime-DNA boost vaccination. To obtain sufficient of antigen-specific cells for microarray analysis, the OVA-specific CD8+ T cells from OT-1 mice were adoptively transferred into wild type mice and then immunized by DNA and VACV vaccine encoding OVA. Four week later, mice were scarificed and antigen-specific CD8+ T cells were emriched by CD45.1-PE antibody and anti-PE MicroBeads from splenocytes.Total RNA was extracted by the RNeasy Mini Kit (QIAGEN, Germany). Followed by amplification and biotin labeling, the samples were hybridized using Illumina Total Prep RNA Amplification Kit (Ambion, USA). Mouse WG-6v2 Expression BeadChips were used for analysis of transcriptome.
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