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 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 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 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
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Systems biology approaches reveal a specific interferon-inducible signature in HTLV-1 associated myelopathy.
Sex, Age, Disease, Race
View SamplesInfection with the human T lymphotropic virus type 1 (HTLV-1) remains asymptomatic in the majority of carriers; however, some 5% develop a chronic inflammation of the central nervous system termed HTLV-1-associated myelopathy (HAM). It is not well understood how the virus triggers the onset of HAM after many years of clinical latency and importantly, what distinguishes hosts who develop the disease from those who remain asymptomatic. In this study we tested the hypothesis that patients with HAM can be distinguished from asymptomatic HTLV-1 carriers (ACs) and uninfected subjects by their whole blood transcriptional profiles. Here, we compare unstimulated whole blood gene expression profiles of 20 asymptomatic HTLV-1 carriers (ACs), 10 patients with HAM and 9 uninfected healthy control subjects to (1) identify a transcriptional signature associated with presence of HAM and (2) identify cell types and pathways abnormally regulated in HAM by canonical and modular pathway analysis.
Systems biology approaches reveal a specific interferon-inducible signature in HTLV-1 associated myelopathy.
Sex, Age, Disease, Race
View SamplesInfection with the human T lymphotropic virus type 1 (HTLV-1) remains asymptomatic in the majority of carriers; however, some 5% develop a chronic inflammation of the central nervous system termed HTLV-1-associated myelopathy (HAM). It is not well understood how the virus triggers the onset of HAM after many years of clinical latency and importantly, what distinguishes hosts who develop the disease from those who remain asymptomatic. In a previous study we identified a 80-gene transcriptional signature of HAM based in the hypothesis that patients with HAM can be distinguished from asymptomatic HTLV-1 carriers (ACs) and uninfected subjects by their whole blood transcriptional profiles. In this study we wished to validate the 80-gene signature on an independent cohort comprising 17 asymptomatic HTLV-1 carriers (ACs), 10 patients with HAM and 8 uninfected healthy control subjects.
Systems biology approaches reveal a specific interferon-inducible signature in HTLV-1 associated myelopathy.
Sex, Age, Disease, Race
View SamplesThe study pursued dual goals: To advance mRNA-seq bioinformatics towards unbiased transcriptome capture and to demonstrate its potential for discovery in neuroscience by applying the approach to an in vivo model of neurological disease. We found that 12.4% of known genes were induced and 7% were suppressed in the dysfunctional (but anatomically intact) L4 dorsal root ganglion (DRG) 2 weeks after L5 spinal Nerve Ligation (SNL). A new algorithm for agnostic mapping of pre-mRNA splice junctions (SJ) achieved a precision of 97%. Overall design: mRNA-seq of L4 DRG 2 weeks and 2 months after L5 spinal nerve ligation. CONTROL and SNL were used to identify differential gene expression between chronic pain and standard conditions in Rattus norvegicus. CONTROL and SNL and PILOT were used to perform 'agnostic splice site discovery' in the nervous system transcriptome in Rattus norvegicus
mRNA-seq with agnostic splice site discovery for nervous system transcriptomics tested in chronic pain.
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Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines.
Specimen part, Subject, Time
View SamplesWhile 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.
Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines.
Specimen part, Subject, Time
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