Evaluation of human group 2 innate lymphoid cells (ILC2) in Dengue Fever
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ABSTRACT:
PROVIDER: PRJNA851708 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR19779900_1.fastq.gz | Fastqsanger.gz | |||
| SRR19779900_2.fastq.gz | Fastqsanger.gz | |||
| SRR19779901_1.fastq.gz | Fastqsanger.gz | |||
| SRR19779901_2.fastq.gz | Fastqsanger.gz | |||
| SRR19779902_1.fastq.gz | Fastqsanger.gz |
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Project description:Transcriptomic profiling of blood ILC2 from dengue fever patient groups and comparator healthy controls
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Project description:Background: Dengue virus (DENV) infection has a global impact on public health. The clinical outcomes (of DENV) can vary from a flu-like illness called dengue fever (DF), to a more severe form, known as dengue hemorrhagic fever (DHF). The underlying innate immune mechanisms leading to protective or detrimental outcomes have not been fully elucidated. Helper innate lymphoid cells (hILCs), an innate lymphocyte recently discovered, functionally resemble T-helper cells and are important in inflammation and homeostasis. However, the role of hILCs in DENV infection had been unexplored. Methods: We performed flow cytometry to investigate the frequency and phenotype of hILCs in peripheral blood mononuclear cells from DENV-infected patients of different disease severities (DF and DHF), and at different phases (febrile and convalescence) of infection. Intracellular cytokine staining of hILCs from DF and DHF were also evaluated by flow cytometry after ex vivo stimulation. Further, the hILCs were sorted and subjected to transcriptome analysis using RNA sequencing. Differential gene expression analysis was performed to compare the febrile and convalescent phase samples in DF and DHF. Selected differentially expressed genes were then validated by quantitative PCR. Results: Phenotypic analysis showed marked activation of all three hILC subsets during the febrile phase as shown by higher CD69 expression when compared to paired convalescent samples, although the frequency of hILCs remained unchanged. Upon ex vivo stimulation, hILCs from febrile phase DHF produced significantly higher IFN-g and IL-4 when compared to those of DF. Transcriptomic analysis showed unique hILCs gene expression in DF and DHF, suggesting that divergent functions of hILCs may be associated with different disease severities. Differential gene expression analysis indicated that hILCs function both in cytokine secretion and cytotoxicity during the febrile phase of DENV infection. Conclusions: Helper ILCs are activated in the febrile phase of DENV infection and display unique transcriptomic changes as well as cytokine production that correlate with severity. Targeting hILCs during early innate response to DENV might help shape subsequent immune responses and potentially lessen the disease severity in the future.
2021-06-09 | GSE155672 | GEO
Project description:Typical symptoms of uncomplicated dengue fever (DF) include headache, muscle pains, rash, cough, and vomiting. A proportion of cases progress to severe dengue hemorrhagic fever (DHF), associated with vascular permeability, thrombocytopenia, and hemorrhages. Progression to severe dengue is difficult to diagnose at the onset of fever, which complicates patient triage, posing a socio-economic burden on health systems. To identify parameters associated with protection and susceptibility to DHF, we pursued a systems immunology approach integrating plasma chemokine profiling, high-dimensional mass cytometry and peripheral blood mononuclear cell transcriptomic analysis at the onset of fever in a prospective study conducted in Indonesia.
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Project description:Group-2 innate lymphoid cells (ILC2) serve crucial function in allergy and asthma. Activated ILC2 rapidly proliferate and secret large amounts of type-2 cytokines, such as IL-5 and IL-13. Mechanisms underlying still remain ambiguous. Here we report that Myc is required for ILC2 proliferation and activation in allergic airway inflammation. Inhibition of Myc impair the ILC2 proliferation in vivo and prevented ILC2-mediated airway hyperresponsiveness in vivo. We used microarrays to detail the global programme of different gene expression between WT and Myc KO in ILC2.
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Project description:These 40 microarray datasets represent whole blood samples from 31 primary dengue infection patients and 9 healthy volunteers from Managua, Nicaragua. The dengue infection patients include both primary dengue fever (DF) and primary dengue hemorrhagic fever (DHF) cases.
2018-07-31 | GSE96656 | GEO
Project description:Group 2 innate lymphoid cells (ILC2) are functionally poised, tissue-resident lymphocytes that respond rapidly to damage and infection at mucosal barrier sites. ILC2 reside within complex microenvironments where they are subject to cues from both the diet and invading pathogens – including helminths. Emerging evidence suggests ILC2 are acutely sensitive not only to canonical activating signals, but also perturbations in nutrient availability. In the context of helminth infection, we identify amino acid availability as a nutritional cue in regulating ILC2 responses. ILC2 were found to be uniquely pre-primed to import amino acids via the large neutral amino acid transporters Slc7a5 and Slc7a8. Cell-intrinsic deletion of these transporters individually impaired ILC2 expansion, while concurrent loss of both transporters markedly impaired the proliferative and cytokine producing capacity of ILC2. Moreover, amino acid determined the magnitude of ILC2 responses in part via tuning of mTOR. These findings implicate essential amino acids as a metabolic requisite for optimal ILC2 responses within mucosal barrier tissues.
2022-12-22 | PXD038792 | Pride
Project description:Dengue represents one of the most serious life-threatening vector-borne infectious diseases that afflict ~50 million people across the globe annually. Whilst symptomatic infections are frequently reported, asymptomatic dengue largely remain unnoticed. The immune correlates conferring protection to individuals that remain clinically asymptomatic have seldom been investigated. We determined the gene expression profiles of host immune factors in individuals with asymptomatic infections, and whose cognate household members showed symptoms and signs consistent to clinical dengue infection. Results provide insight in association of certain host genes to protection against clinical dengue. Blood samples were collected from Dengue Fever (DF) and Dengue Haemorrhagic Fever (DHF) patients in Malaysia who were admitted to university of Malaya Medical Centre (UMMC), Ampang Hospital (AmpangHospital), and Hospital Tengku Ampuan Rahimah (HTAR) Klang. Blood from their asymptomatic household members were also collected. Their peripheral blood mononuclear cells (PBMCs) were isolated. 29 sample pairs (SP) of dengue patients and their accompanying asymptomatic household members were chosen on the following basis for two-channel microarray experiments: patients who have shown positive results for DENV infection with at least 2 diagnostics tests indicating positivity. Positive results for the IgM-captured ELISA were P/N ratio more than 2.0, while total antibody titer of more than 1:2560 or 4 fold increase from acute to convalescence phase was considered positive in HI assay. PRNT, a neutralization test, was used as a measure for levels of neutralizing antibodies and was considered high when it was more than 1:640, based on a reduction neutralization of 50%.
2013-09-06 | E-GEOD-50634 | biostudies-arrayexpress
Project description:Background Deciphering host responses contributing to dengue shock syndrome (DSS), the life-threatening form of acute viral dengue infections, is required to improve both the differential prognosis and the treatments provided to DSS patients, a challenge for clinicians. Methodology/Principal Findings Based on a prospective study, we analyzed the genome-wide expression profiles of whole blood cells from 48 matched Cambodian children: 19 progressed to DSS while 16 and 13 presented respectively classical dengue fever (DF) or dengue hemorrhagic fever grades I/II (DHF). Using multi-way analysis of variance (ANOVA) and adjustment of p-values to control the False Discovery Rate (FDR<10%), we identified a signature of 2959 genes differentiating DSS patients from both DF and DHF, and showed a strong association of this DSS-gene signature with the dengue disease phenotype. Using a combined approach to analyse the molecular patterns associated with the DSS-gene signature, we provide an integrative overview of the transcriptional responses altered in DSS children. In particular, we show that the transcriptome of DSS children blood cells is characterized by a decreased abundance of transcripts related to T and NK lymphocyte responses and by an increased abundance of anti-inflammatory and repair/remodeling transcripts. We also show that unexpected pro-inflammatory gene patterns at the interface between innate immunity, inflammation and host lipid metabolism, known to play pathogenic roles in acute and chronic inflammatory diseases associated with systemic vascular dysfunction, are transcriptionnally active in the blood cells of DSS children. Conclusions/Significance We provide a global while non exhaustive overview of the molecular mechanisms altered in of DSS children and suggest how they may interact to lead to final vascular homeostasis breakdown. We suggest that some mechanisms identified should be considered putative therapeutic targets or biomarkers of progression to DSS. Whole blood genome-wide expression profiles of Cambodian children (3-15 year old) infected with dengue virus, having different clinical outcomes were compared. The studied cohort included 16 acute dengue fever samples, 13 acute dengue hemorrhagic fever samples and 19 acute dengue shock syndrome samples, classified according to the 1997 WHO criteria and randomised for age, gender, viral serotype and day of blood sampling after onset of fever. Microarray data were normalised using the quantile method. Multi-way ANOVA was used to compared the three clinical groups, at several False Discovery Rate of 10. Unsupervised Hierarchical Clustering (TreeView) showed that DSS patients clustered together (17 out of 19), identifying a gene-signature of DSS. Bio-informatics-based analysis using the demonstration version 7.1 of Ingenuity Pathway Analysis software (IPA; Ingenuity Systems, www.ingenuity.com) associated with manual and litterature-based analysis was carried out to identify the most relevant functional processes associated with the identified DSS gene expression profile. This was done by combining most informative canonical pathways identified using IPA, genes having the strongest association with the disease phenotype based on ANOVA analysis, and similarities to molecular patterns altered in other systemic inflammatory processes associated with endothelial dysfunction.
2010-07-21 | E-GEOD-17924 | biostudies-arrayexpress