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GSE83456
Homo sapiens
202 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip
Description
Background: Mycobacterium tuberculosis infection is a leading cause of infectious death worldwide. Gene-expression microarray studies profiling the blood transcriptional response of tuberculosis (TB) patients have been undertaken in order to better understand the host immune response as well as to identify potential biomarkers of disease. To date most of these studies have focused on pulmonary TB patients with gene-expression profiles of extra-pulmonary TB patients yet to be compared to those of patients with pulmonary TB or sarcoidosis.
Publication Title
The Transcriptional Signature of Active Tuberculosis Reflects Symptom Status in Extra-Pulmonary and Pulmonary Tuberculosis.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage, Race
View Samples- Mus musculus
- 36 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
Pattern recognition receptors (PRR) detect microbial products and induce cytokines which shape the immunological response. Interleukin-12 (IL-12), tumor necrosis factor alpha (TNF-) and IL-1 are proinflammatory cytokines which can be essential for resistance against infection, but if produced at high levels, may contribute to immunopathology. In contrast, IL-10 is an immunosuppressive cytokine which dampens proinflammatory responses, but can also lead to defective pathogen clearance. The regulation of these cytokines is therefore central to the generation of an effective but balanced immune response. Here, we show that macrophages derived from C57BL/6 mice produce low levels of IL-12, TNF- and IL-1, but high levels of IL-10 in response to TLR4 and TLR2 ligands LPS and PamCSK4, and Burkholderia pseudomallei a Gram-negative bacterium which activates TLR 2/4. In contrast, macrophages derived from BALB/c mice show a reciprocal pattern of cytokine production. Differential production of IL-10 in B. pseudomallei and LPS stimulated C57BL/6 and BALB/c macrophages was due to a type I IFN dependent, but IL-27 independent mechanism. Further, type I IFN contributed to differential IL-1 and IL-12 production in B. pseudomallei and LPS stimulated C57BL/6 and BALB/c macrophages, via both IL-10-dependent and independent mechanisms. These findings highlight key pathways responsible for the regulation of pro- and anti-inflammatory cytokines in macrophages and reveal how they may differ according to the genetic background of the host.
Publication Title
Differential Production of Type I IFN Determines the Reciprocal Levels of IL-10 and Proinflammatory Cytokines Produced by C57BL/6 and BALB/c Macrophages.
Sample Metadata Fields
Sex, Specimen part, Treatment, Time
View Samples- Mus musculus
- 192 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
Listeriosis is an infectious disease caused by the intracellular bacterium Listeria monocytogenes. To control the infection effectively, the host immune response is directed by intercellular signalling molecules called cytokines that are produced by immune cells following sensing of the bacteria. In this study we used gene expression analysis to examine complex immune signalling networks in the blood and tissues of mice infected with L. monocytogenes. We show that a large set of genes are perturbed in both blood and tissue upon infection and that the transcriptional responses in both are enriched for pathways of the immune response. From these data we also observe an important signalling network emerge from a group of cytokines called interferons (IFNs). Previous findings suggest that different IFN family members can determine the balance between successful and impaired immune responses to L. monocytogenes and several other bacterial infections. Using mice deficient for the detrimental type I IFN signalling pathway we show that IFN-inducible genes are differentially regulated at different times upon infection but also present at much lower levels in uninfected mice highlighting how dysregulation of this network in the steady state may determine the outcome of this bacterial infection.
Publication Title
Analysis of Transcriptional Signatures in Response to Listeria monocytogenes Infection Reveals Temporal Changes That Result from Type I Interferon Signaling.
Sample Metadata Fields
Sex, Specimen part, Treatment
View Samples- Mus musculus
- 170 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
Melioidosis, a severe human disease caused by the bacterium Burkholderia pseudomallei, has a wide spectrum of clinical manifestations ranging from acute septicaemia to chronic localized illness or latent infection. Mice were intranasally infected with either high or low doses of B. pseudomallei to generate either acute, chronic or latent infection and host blood and tissue transcriptional profiles were generated. Acute infection was accompanied by a homogeneous signature associated with induction of multiple innate immune response pathways, such as IL10, TREM1 and IFN-signaling, largely found in both blood and tissue. The transcriptional profile in blood reflected the heterogeneity of chronic infection and quantitatively reflected the severity of disease. Comparison of these mouse blood datasets by pathway and modular analysis with the blood transcriptional signature of patients with melioidosis showed that many genes were similarly perturbed, including IL10, TREM1 and IFNsignaling, revealing the common immune response occurring in both mice and humans.
Publication Title
The Blood Transcriptome of Experimental Melioidosis Reflects Disease Severity and Shows Considerable Similarity with the Human Disease.
Sample Metadata Fields
Sex, Specimen part, Treatment
View Samples- Homo sapiens
- 359 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Transcriptional profiles are increasingly used to investigate the severity, subtype and pathogenesis of disease. We now describe whole blood RNA signatures and local and systemic immune mediator levels in a large cohort of adults hospitalised with influenza from which extensive clinical and investigational data was obtained. Signatures reflecting interferon-related antiviral pathways were common up to day 4 of symptoms in cases not requiring mechanical ventilatory support; in those needing mechanical ventilation, an inflammatory, activated neutrophil and cell stress/death (bacterial) pattern was seen, even early after disease onset. Identifiable bacterial co-infection was not necessary for this bacterial signature but could enhance its development while attenuating the early viral signature. Our findings emphasise the importance of timing and severity in the interpretation of transcriptomic profiles and soluble mediator levels, and identify specific patterns of immune activation that may enable the development of novel diagnostics and therapeutics
Publication Title
Progression of whole-blood transcriptional signatures from interferon-induced to neutrophil-associated patterns in severe influenza.
Sample Metadata Fields
Sex, Age, Race, Subject, Time
View Samples- Homo sapiens
- 410 Downloadable Samples
- Illumina human-6 v2.0 expression beadchip
Description
This dataset was used to establish whole blood transcriptional modules (n=260) that represent groups of coordinately expressed transcripts that exhibit altered abundance within individual datasets or across multiple datasets. This modular framework was generated to reduce the dimensionality of whole blood microarray data processed on the Illumina Beadchip platform yielding data-driven transcriptional modules with biologic meaning.
Publication Title
Interferon signature in the blood in inflammatory common variable immune deficiency.
Sample Metadata Fields
Disease
View Samples- Homo sapiens
- 39 Downloadable Samples
- Sentrix Human-6 v2 Expression BeadChip
Description
Melioidosis is a severe infectious disease caused by Burkholderia pseudomallei, a gram-negative bacillus classified by the NIAID as a category B priority agent. Septicemia is the most common presentation of the disease with 40% mortality rate even with appropriate treatments. Faster diagnostic procedures are required to improve therapeutic response and survival rates. We have used microarray technology to generate genome-wide transcriptional profiles (>48,000 transcripts) of whole blood obtained from patients with septicemic melioidosis (n=32), patients with sepsis caused by other pathogens (n=31), and uninfected controls (n=29). Unsupervised analyses demonstrated the existence of a whole blood transcriptional signature distinguishing patients with sepsis from control subjects. The majority of changes observed were common to both septicemic melioidosis and sepsis caused by other infections, including genes related to inflammation, interferon-related genes, neutrophils, cytotoxic cells, and T cells. Finally, class prediction analysis identified a 37 transcript candidate diagnostic signature that distinguished melioidosis from sepsis caused by other organisms with 100% and 78% accuracy in training and independent test sets, respectively. This finding was confirmed by the independent validation set, which showed 80% prediction accuracy. This signature was highly enriched in genes coding for products involved in the MHC Class II antigen processing and presentation pathway. Transcriptional patterns of whole blood RNA distinguish patients with septicemic melioidosis from patients with sepsis caused by other pathogens. Once confirmed in a large scale trial this diagnostic signature might constitute the basis of a differential diagnostic assay.
Publication Title
Genomic transcriptional profiling identifies a candidate blood biomarker signature for the diagnosis of septicemic melioidosis.
Sample Metadata Fields
Sex, Age, Treatment, Race
View Samples- Homo sapiens
- 10 Downloadable Samples
Illumina Genome Analyzer IIx
Description
Purpose: To chart the human myometrial transcriptomes before and after the onset of labour. Methods: Tophat splice junction mapping of paired-end reads, HTSeq to generate counts, cufflinks to track transcripts, DESeq, edgeR and baySeq to detect differentially expressed genes and principal component analysis for clustering analyses. Results: We mapped on average 14 million paired-end reads per sample (counting each end individually) to the human genome (build hg19) and covered the expressed transcriptome about 13 times with a TopHat-HTSeq workflow. We performed a comparative analysis with an analogous microarray study (Mittal et al., 2010) and found some overlap between the RNA-seq and the microarray data. Conclusions: Our study is the first RNA-seq study of the human myometrium before and after the onset of labour. We show that while microarray and RNA-seq studies may complement each other, RNA-seq has a much greater resolution. Overall design: At term with and at term without labour human myometrial mRNA profiles were generated by deep sequencing, using Illumina GAIIx (five biological replicates each).
Publication Title
Reconstruction of Cell Surface Densities of Ion Pumps, Exchangers, and Channels from mRNA Expression, Conductance Kinetics, Whole-Cell Calcium, and Current-Clamp Voltage Recordings, with an Application to Human Uterine Smooth Muscle Cells.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens, Rattus norvegicus
- 39 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Temporal induction of immunoregulatory processes coincides with age-dependent resistance to viral-induced type 1 diabetes.
Sample Metadata Fields
Sex
View Samples- Rattus norvegicus
- 33 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
A need exists for biomarkers in T1D that can 1) sensitively and specifically detect disease-related immune activity prior to, and independent of, measurement of auto-antibodies towards islet cell antigens; 2) define immunopathological mechanisms; and 3) monitor changes in the inflammatory state associated with disease progression or response to therapeutic intervention. In an effort to fill this gap, we have applied a novel bioassay to both human and BB rat T1D whereby the complex milieu of inflammatory mediators present in plasma can be indirectly detected through their ability to drive transcription in peripheral blood mononuclear cells (PBMCs) drawn from healthy, unrelated donors. The resultant gene expressions are comprehensively measured with a microarray. In our human studies, we find that plasma of recent-onset T1D patients induces expression of a pro-inflammatory signature consisting in part of many interleukin-1 (IL-1) regulated genes related to immunological activation and immunocyte chemotaxis compared to unrelated healthy controls. This signature has been found to resolve in long-standing T1D subjects (>10 years post-onset), thus associating it with active autoimmunity. Importantly, this signature has been detected in pre-onset samples of progressors to T1D years prior to onset and prior to development of auto-antibodies directed towards islet antigens.
Publication Title
Temporal induction of immunoregulatory processes coincides with age-dependent resistance to viral-induced type 1 diabetes.
Sample Metadata Fields
Sex
View Samples