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GSE38964
Homo sapiens
151 Downloadable Samples
Illumina HumanWG-6 v3.0 expression beadchip
Description
We performed integrative gene dosage and expression profiling to identify candidate target genes of the prognostic 3p loss in cervical cancer.
Publication Title
Identification of eight candidate target genes of the recurrent 3p12-p14 loss in cervical cancer by integrative genomic profiling.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Gene 1.1 ST Array (mogene11st)
Description
Multipotent stem cells and their lineage-restricted progeny drive nephron formation within the developing kidney. Validated markers of these early stem/progenitor populations are essential for deciphering their in vivo function and for evaluating their clinical potential for treating adult kidney disease. Here, we document expression of the adult stem cell marker Lgr5 in the developing kidney and assess the stem/progenitor identity of Lgr5+ve cells via in vivo lineage tracing. The appearance and localization of Lgr5+ve cells coincided with that of the S-shaped body around E14. Lgr5 expression remained restricted to cell clusters within developing nephrons in the cortex until P7, when expression was permanently silenced. In vivo lineage tracing identified Lgr5 as a marker of a novel progenitor population within nascent nephrons dedicated to generating the thick ascending limb of Henle's loop and distal convoluted tubule. The Lgr5 surface marker and experimental models described here will be invaluable for deciphering the contribution of early nephron stem cells to developmental defects and for isolating human nephron progenitors as a prerequisite to evaluating their therapeutic potential.
Publication Title
Lgr5(+ve) stem/progenitor cells contribute to nephron formation during kidney development.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip, Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
<i>APOL1</i> Renal-Risk Variants Induce Mitochondrial Dysfunction.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20), Illumina HumanHT-12 V4.0 expression beadchip
Description
To assess differential gene expression by APOL1 renal-risk (2 risk alleles) vs. non-risk (G0G0) genotypes in primary proximal tubule cells (PTCs), global gene expression (mRNA) levels were examined on Affymetrix HTA 2.0 arrays in primary PTCs cultured from non-diseased kidney in African Americans without CKD who underwent nephrectomy for localized renal cell carcinoma.
Publication Title
<i>APOL1</i> Renal-Risk Variants Induce Mitochondrial Dysfunction.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 1 Downloadable Sample
- Affymetrix Human Transcriptome Array 2.0 (hta20), Illumina HumanHT-12 V4.0 expression beadchip
Description
To elucidate pathways whereby apolipoprotein L1 gene (APOL1) G1 and G2 variants facilitate kidney disease in African Americans, human embryonic kidney cells (HEK293) were used to establish doxycycline-inducible (Tet-on) cell lines stably expressing reference APOL1 G0 and its G1 and G2 renal-risk variants. Illumina human HT-12-v4 arrays and Affymetrix HTA 2.0 arrays were employed to generate global gene expression data with doxycycline induction. Significantly altered pathways identified through bioinformatics involved mitochondrial function; results were validated using immunoblotting, immunofluorescence and functional assays.
Publication Title
<i>APOL1</i> Renal-Risk Variants Induce Mitochondrial Dysfunction.
Sample Metadata Fields
Specimen part
View Samples- 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