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GSE44722
Homo sapiens
351 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip, Illumina HumanHT-12 V3.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines.
Sample Metadata Fields
Specimen part, Subject, Time
View Samples- Homo sapiens
- 128 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip
Description
While dendritic cells (DCs) are known to play a major role in the process of vaccination, the mechanisms by which vaccines induce protective immunity in humans remain elusive. Herein, we used gene microarrays to characterize the transcriptional programs induced over time in human monocyte-derived DCs (moDCs) in vitro in response to influenza H1N1 Brisbane, Salmonella enterica and Staphylococcus aureus. We built a data-driven modular analytical framework focused on 204 pathogen-induced gene clusters. The expression of these modules was analyzed in response to 16 well-defined ligands, targeting TLRs, cytoplasmic PAMP receptors and cytokine receptors. This multi-dimensional framework covers the major biological functions of APC, including the IFN response, inflammation, DC maturation, T cell activation, antigen processing, cell motility and histone regulation. This framework was used to characterize the response of monocytes and moDCs to 14 commercially available vaccines. These vaccines displayed quantitatively and qualitatively distinct modular signatures in monocytes and DCs, in particular Fluzone and Pneumovax, highlighting the functional and phenotypic differences between APC subsets. This modular framework allows the application of systems immunology approaches to study early transcriptional changes in human APC subsets in response to pathogens and vaccines, which might guide the development of improved vaccines.
Publication Title
Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines.
Sample Metadata Fields
Specimen part, Subject, Time
View Samples- Homo sapiens
- 120 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip
Description
While dendritic cells (DCs) are known to play a major role in the process of vaccination, the mechanisms by which vaccines induce protective immunity in humans remain elusive. Herein, we used gene microarrays to characterize the transcriptional programs induced over time in human monocyte-derived DCs (moDCs) in vitro in response to influenza H1N1 Brisbane, Salmonella enterica and Staphylococcus aureus. We built a data-driven modular analytical framework focused on 204 pathogen-induced gene clusters. The expression of these modules was analyzed in response to 16 well-defined ligands, targeting TLRs, cytoplasmic PAMP receptors and cytokine receptors. This multi-dimensional framework covers the major biological functions of APC, including the IFN response, inflammation, DC maturation, T cell activation, antigen processing, cell motility and histone regulation. This framework was used to characterize the response of monocytes and moDCs to 14 commercially available vaccines. These vaccines displayed quantitatively and qualitatively distinct modular signatures in monocytes and DCs, in particular Fluzone and Pneumovax, highlighting the functional and phenotypic differences between APC subsets. This modular framework allows the application of systems immunology approaches to study early transcriptional changes in human APC subsets in response to pathogens and vaccines, which might guide the development of improved vaccines.
Publication Title
Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines.
Sample Metadata Fields
Specimen part, Subject, Time
View Samples- Homo sapiens
- 26 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip
Description
The mechanisms by which vaccines interact with human APCs remain elusive. We applied systems biology to define the transcriptional programs induced in human DCs by pathogens, innate receptor ligands and vaccines. Upon exposing DCs to influenza, Salmonella enterica and Staphylococcus aureus, we built a modular framework containing 204 pathogen-induced transcript clusters. Module fingerprints were then analyzed in DCs activated with 16 innate receptor ligands. This framework was then used to characterize human monocytes, IL-4 DC and blood DC subsets responses to 13 vaccines. Different vaccines induced distinct signatures based on pathogen type, adjuvant formulation and APC targeted. Fluzone broadly activated IL-4 DC whereas pneumovax only activated monocytes and gardasil (HPV) only activated CD1c+ mDC. This highlights that different antigen-presenting cells respond to different vaccines. Finally, the blood signatures from individuals vaccinated with fluzone or infected with influenza were interpreted using these modules. We identified a signature of adaptive immunity activation following vaccination and symptomatic infections, but not asymptomatic infections. These data, offered with a web interface, might guide the development of improved vaccines.
Publication Title
Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 77 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip
Description
While dendritic cells (DCs) are known to play a major role in the process of vaccination, the mechanisms by which vaccines induce protective immunity in humans remain elusive. Herein, we used gene microarrays to characterize the transcriptional programs induced over time in human monocyte-derived DCs (moDCs) in vitro in response to influenza H1N1 Brisbane, Salmonella enterica and Staphylococcus aureus. We built a data-driven modular analytical framework focused on 204 pathogen-induced gene clusters. The expression of these modules was analyzed in response to 16 well-defined ligands, targeting TLRs, cytoplasmic PAMP receptors and cytokine receptors. This multi-dimensional framework covers the major biological functions of APC, including the IFN response, inflammation, DC maturation, T cell activation, antigen processing, cell motility and histone regulation. This framework was used to characterize the response of monocytes and moDCs to 14 commercially available vaccines. These vaccines displayed quantitatively and qualitatively distinct modular signatures in monocytes and DCs, in particular Fluzone and Pneumovax, highlighting the functional and phenotypic differences between APC subsets. This modular framework allows the application of systems immunology approaches to study early transcriptional changes in human APC subsets in response to pathogens and vaccines, which might guide the development of improved vaccines.
Publication Title
Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines.
Sample Metadata Fields
Specimen part, Subject, Time
View Samples- Homo sapiens
- 3 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The p53 family consists of three members, p53, p73, and p63. These proteins share a high degree of amino-acid sequence similarity and major functional domains. The p53 gene, the first member of the family to be identified, is the most frequent target gene for genetic alterations in human cancers. In contrast, p73 and p63 are mainly involved in normal development and differentiation. These differences among the p53 family are likely to depend on activation or repression of different sets of target genes. In this study, to identify targets specifically regulated by p73, we performed microarray analysis and compared expression patterns in a human steosarcoma cell line Saos-2 infected separately with p53 and TAp73beta expressing adenovirus.
Publication Title
p53 family members regulate the expression of the apolipoprotein D gene.
Sample Metadata Fields
No sample metadata fields
View Samples