This SuperSeries is composed of the SubSeries listed below.
Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.
Specimen part, Subject, Time
View SamplesSystems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans.
Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.
Specimen part, Subject, Time
View SamplesSystems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans.
Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.
Specimen part, Subject, Time
View SamplesSystems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans.
Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.
Specimen part, Subject, Time
View SamplesSystems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans.
Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.
Specimen part, Subject, Time
View SamplesC1q suppresses JAK-STAT signal transduction and activates PPAR-mediated transcription in macrophages during clearance of modified forms of LDL leading to a reduction in inflammatory response. Overall design: Human monocyte-derived macrophages (HMDM) were incubated with either oxidized (oxLDL) or acetylated low-density lipoprotein (acLDL) in the presence or absence of C1q for 3 hours. Total RNA was extracted using the Qiagen RNeasy Mini Kit. RNA libraries were constructed using the Illumina TruSeq Stranded mRNA Sample Preparation Kit. Sequences were aligned to a reference genome (hg38), RPKM and raw counts were determined using CASAVA version 1.8.2.
Transcriptome data and gene ontology analysis in human macrophages ingesting modified lipoproteins in the presence or absence of complement protein C1q.
Specimen part, Subject
View SamplesGlucocorticoids remain the most widely used class of anti-inflammatory and immunosuppressive agents. They act primarily by binding to the glucocorticoid receptor, resulting in direct and indirect effects on gene expression. The current understanding of glucocorticoid effects on transcription in human cells is based mostly on studies of cancer cell lines, immortalized cell lines, or highly mixed populations of primary cells (such as peripheral blood mononuclear cells). To advance the understanding of the transcriptome-wide effects of glucocorticoids on highly pure populations of primary human cells, we performed RNA-seq on nine such cell populations at two time points after in vitro exposure to methylprednisolone or vehicle. Overall design: Nine cell types were studied: four hematopoietic (circulating B cells, CD4+ T cells, monocytes, and neutrophils) and five non-hematopoietic (endothelial cells, fibroblasts, myoblasts, osteoblasts, and preadipocytes). Each cell type was obtained from a separate cohort of 4 unrelated healthy human donors (4 biological replicates per cell type: BR1 - BR4). Cells form each donor were independently cultured and exposed in vitro to glucocorticoid or vehicle. Non-hematopoietic cells were incubated until the early plateau phase of growth, then exposed to methylprednisolone or vehicle. Hematopoietic cells were collected from peripheral blood, purified by magnetic selection (negative selection for B cells, CD4+ T cells and neutrophils; positive selection for monocytes). Purified B cells, CD4+ T cells, and monocytes were incubated overnight, then exposed to methylprednisolone or vehicle. Purified neutrophils were cultured for 4 hours, then exposed to methylprednisolone or vehicle. Ethanol was used as a vehicle for methylprednisolone. Estimated final concentrations were 8500 mcg/L (22.7 mcM) for methylprednisolone and 0.07% (15.57 mM) for ethanol (vehicle). For each cell type, samples were collected at two time points after treatment with methylprednisolone or vehicle: 2 hours and 6 hours. Samples were collected into TRIzol reagent and frozen at -80°C prior to RNA extraction. RNA-seq data for all samples is made available in this GEO Series.
Immune regulation by glucocorticoids can be linked to cell type-dependent transcriptional responses.
Specimen part, Subject, Time
View SamplesGene expression kinetics for BM-DM from C57BL/6 mouse stimulated with four different TLR ligands poly(I:C), R848, LPS, Pam3CSK4 either singly or in paired combination, for 1 hour, 4 hour, or 8 hour.
Systematic Investigation of Multi-TLR Sensing Identifies Regulators of Sustained Gene Activation in Macrophages.
Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Systematic Investigation of Multi-TLR Sensing Identifies Regulators of Sustained Gene Activation in Macrophages.
Treatment
View SamplesGene expression kinetics for BM-DM from C57BL/6 mice challenged by poly(I:C) , R848, poly(I:C)+R848 examined at 6 time points including 0.5, 1, 2, 4, 8, 12 h.
Systematic Investigation of Multi-TLR Sensing Identifies Regulators of Sustained Gene Activation in Macrophages.
Treatment
View Samples