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.
Genomic transcriptional profiling identifies a candidate blood biomarker signature for the diagnosis of septicemic melioidosis.
Sex, Age, Treatment, Race
View SamplesThere are currently no biological tests that differentiate patients with bipolar disorder (BPD) from healthy controls. While there is evidence that peripheral gene expression differences between patients and controls can be utilized as biomarkers for psychiatric illness, it is unclear whether current use or residual effects of antipsychotic and mood stabilizer medication drives much of the differential transcription. We therefore tested whether expression changes in first-episode, never-medicated bipolar patients, can contribute to a biological classifier that is less influenced by medication and could potentially form a practicable biomarker assay for BPD.
Utilization of never-medicated bipolar disorder patients towards development and validation of a peripheral biomarker profile.
Sex, Age, Specimen part
View SamplesMelioidosis, 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.
The Blood Transcriptome of Experimental Melioidosis Reflects Disease Severity and Shows Considerable Similarity with the Human Disease.
Sex, Specimen part, Treatment
View SamplesPattern 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.
Differential Production of Type I IFN Determines the Reciprocal Levels of IL-10 and Proinflammatory Cytokines Produced by C57BL/6 and BALB/c Macrophages.
Sex, Specimen part, Treatment, Time
View SamplesExperimental design: 1 genotype: PI- (resistant USDA Plant Introduction (PI462312) line containing SBR Rpp3 resistance gene) 3 treatments: Virulent soybean rust (Phakopsora pachyrhizi Tw80-2) challenge, avirulent soybean rust challenge (Hw94-1) & mock infection 3 replications 6 time points: 12, 24, 72, 144, 216 and 288 hours after inoculation TOTAL: 54 Affymetrix GeneChip(R) Soybean Genome Arrays Mock treatment: 0.01% Tween 20 Hawaii 94 treatment: 500,000 spores per ml in 0.01% Tween 20 Taiwan 80-2 treatment: 500,000 spores per ml in 0.01% Tween 20 ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Martijn van de Mortel (for Steve Whitham). The equivalent experiment is GM36 at PLEXdb.]
Biphasic gene expression changes elicited by Phakopsora pachyrhizi in soybean correlate with fungal penetration and haustoria formation.
Specimen part, Time
View SamplesStaphylococcus aureus has emerged as a significant pathogen causing severe, invasive disease in otherwise healthy people. Despite considerable advances in understanding the epidemiology, resistance mechanisms, and virulence factors produced by the bacteria, there is limited knowledge of the in vivo host immune response to acute, invasive S. aureus infections. Herein, we report that peripheral blood mononuclear cells from patients with severe S. aureus infections demonstrate a distinctive and robust gene expression profile which is validated in a distinct group of patients and on a different microarray platform. Application of a systems-wide modular analysis framework reveals significant over-expression of innate immunity genes and under-expression of genes related to adaptive immunity. Simultaneous flow cytometry analyses demonstrated marked alterations in immune cell numbers, with decreased central memory CD4 and CD8 T cells and increased number of monocytes. CD14+ monocyte numbers significantly correlated with the gene expression levels of genes related to the innate immune response. These results demonstrate the value of applying a systems biology approach that reveals the significant alterations in the components of circulating blood lymphocytes and monocytes in invasive S. aureus infections.
Enhanced monocyte response and decreased central memory T cells in children with invasive Staphylococcus aureus infections.
Sex, Treatment, Race
View SamplesWe have performed modular analyses to decipher the global transcriptional response and capture a breadth of distinct immune responses in the lungs and blood of mice infected or challenged with a broad spectrum of infectious pathogens, including parasites (Toxoplasma gondii), bacteria (Burkholderia pseudomallei), viruses (Influenza A virus and Respiratory Syncytial virus (RSV)) and fungi (Candida albicans), or allergens (House dust mite (HDM), systemic and intra-nasal challenge). In a distinct set of infectious diseases, we tested the blood modular transcriptional signatures in mice infected with Plasmodium chabaudi chabaudi (malaria), murine cytomegalovirus (MCMV), Listeria monocytogenes and chronic Burkholderia pseudomallei. We also investigated the transcriptional profiles of sorted CD4 T cells (total CD4+, CD4+ CD44 high and CD4+ CD44 low) from lung and blood samples from mice challenged with HDM allergen. Moreover, we used mice deficient in either Ifnar or Ifngr, or both, to reveal the individual roles of each pathway in controlling disease in mice infected with Toxoplasma gondii. Overall design: RNA-seq analysis of blood samples obtained from mice infected with Plasmodium chabaudi chabaudi, murine cytomegalovirus (MCMV), Listeria monocytogenes and chronic Burkholderia pseudomallei.
Transcriptional profiling unveils type I and II interferon networks in blood and tissues across diseases.
Specimen part, Subject
View SamplesWe have performed modular analyses to decipher the global transcriptional response and capture a breadth of distinct immune responses in the lungs and blood of mice infected or challenged with a broad spectrum of infectious pathogens, including parasites (Toxoplasma gondii), bacteria (Burkholderia pseudomallei), viruses (Influenza A virus and Respiratory Syncytial virus (RSV)) and fungi (Candida albicans), or allergens (House dust mite (HDM), systemic and intra-nasal challenge). In a distinct set of infectious diseases, we tested the blood modular transcriptional signatures in mice infected with Plasmodium chabaudi chabaudi (malaria), murine cytomegalovirus (MCMV), Listeria monocytogenes and chronic Burkholderia pseudomallei. We also investigated the transcriptional profiles of sorted CD4 T cells (total CD4+, CD4+ CD44 high and CD4+ CD44 low) from lung and blood samples from mice challenged with HDM allergen. Moreover, we used mice deficient in either Ifnar or Ifngr, or both, to reveal the individual roles of each pathway in controlling disease in mice infected with Toxoplasma gondii. Overall design: RNA-seq analysis of sorted CD4 T cells (total CD4+, CD4+CD44high and CD4+CD44low) from lung and blood samples obtained from mice challenged systemically with House dust mite (HDM) allergy.
Transcriptional profiling unveils type I and II interferon networks in blood and tissues across diseases.
Specimen part, Subject
View SamplesAcute myeloid leukemia (AML) continues to have the lowest survival rates of all leukemias. Therefore, new therapeutic strategies are urgently needed to improve clinical outcomes for AML patients. Here, we report a novel role for Wilms’ tumor 1-associated protein (WTAP) in pathogenesis of AML. We have performed RNA-Seq in K562 cells with knockdown of WTAP to ascertain which genes it regulates. Overall design: We have 2 replicates of total RNA for K562 cells and 2 replicates with WTAP knocked down
WTAP is a novel oncogenic protein in acute myeloid leukemia.
Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Systems biology approaches reveal a specific interferon-inducible signature in HTLV-1 associated myelopathy.
Sex, Age, Disease, Race
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