RNA-seq comparing allergen-trained versus untrained human monocyte-derived macrophages after HDM challenge
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB38816 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR4232534.fastq.gz | Fastqsanger.gz | |||
| ERR4232535.fastq.gz | Fastqsanger.gz | |||
| ERR4232536.fastq.gz | Fastqsanger.gz | |||
| ERR4232537.fastq.gz | Fastqsanger.gz |
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Project description:Mibrobial Patterns can induce trained innate immunity in macrophages. We tested whether innate memory can be elicited by stimulating macrophages with a house dust mite extract for 24h before washout and a resting phase of 5 days. Subsequently, macrophages were exposed to HDM for 24h and we analyzed the gene expression post-challenge.
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Project description:RNA-seq comparing allergen-trained versus untrained human monocyte-derived macrophages
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Project description:In recent years, alveolar macrophages (AM) have been shown to play an important role in environmental allergen-induced airway inflammation in asthma. In this study, we investigated the effect of house dust mite (HDM) and lipopolysaccharide (LPS) challenge on the transcriptome of AM from patients with mild asthma. We have shown previously that intrabronchial HDM/LPS challenge induces a mixed eosinophilic and neutrophil airways inflammation in asthma patients(5). Therefore, we hypothesize that exposure of AM to HDM/LPS would upregulate genes associated with eosinophil and neutrophil signaling. AM were harvested from the bronchoalveolar fluid of 8 asthma patients who were challenged with either saline in one lung segment or HDM/LPS in the contralateral lung segment. We performed RNA sequencing and found over 1000 significantly different expressed genes following HDM/LPS challenge. To the best of our knowledge, this is the first investigation to examine gene expression profiles in AM from asthma patients challenged with HDM and LPS in vivo. Using a well-controlled study design allowing paired analysis of saline and HDM/LPS effects in the same patient, we identified different transcriptional profiles in AM as consequence of local exposure to HDM and LPS. These findings may provide a better understanding of AM functions in (exacerbations of) allergic asthma.
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Project description:Changes occur in the lung epithelium after allergen challenge that may give insight into asthma pathogenesis and we sought to identify novelepithelial genes induced by allergen exposure. We used microarrays to identify up-regulated genes induced by allergen challenge in lung epithelium. Epithelal brushing of the large airways in mouse lungs was performed 24 hours after Alternaria allergen or PBS control challenge 24. Collected epithelial cells underwent RNA extraction and hybridization on Affymetrix microarrays. There are a total of 6 samples, 3 allergen and 3 control samples.
2011-12-30 | E-GEOD-34764 | biostudies-arrayexpress
Project description:Changes occur in the lung epithelium after allergen challenge that may give insight into asthma pathogenesis and we sought to identify novelepithelial genes induced by allergen exposure. We used microarrays to identify up-regulated genes induced by allergen challenge in lung epithelium.
2011-12-30 | GSE34764 | GEO
Project description:Sputum cells collected before (visit 2) and after (visit 4) allergen challenge in asthma patients were isolated and RNA purified for analysis on gene expression arrays. Human subject recruitment part of NIH sponsored protocol as part of the Eosinophil Program Project Grant (PI: Dr. Nizar Jarjour) Sputum cell RNA collected from induced sputum cells before and 48 hours after whole-lung allergen challenge.
2013-04-20 | E-GEOD-46238 | biostudies-arrayexpress
Project description:Inhaled allergen challenge of subjects with allergic asthma allows the study of mechanisms involved in allergen-induced airway inflammation. The objective of this study was to identify changes in the plasma proteome associated with a late phase response (LPR) causing airway obstruction occurring 4-8 hours after the initial early response. Serial plasma samples from asthmatics undergoing inhaled allergen challenge were analyzed. Mass spectrometry data was analyzed using a linear regression to model the relationship between the degree of airway obstruction during the LPR and plasma proteome changes evoked by the inhaled allergen challenge. Inhaled allergen challenge induced changes in the plasma proteome including upregulation of the protease inhibitors alpha-1-antitrypsin, alpha-1-antichymotrypsin and plasma serine protease inhibitor. Out of 396 quantified proteins, 150 showed a statistically significant change 23 hours post allergen challenge. Further proteomic changes were associated with the LPR, including altered levels of coagulation factors such as an increased factor XII A and a decreased von Willebrand factor. Allergic reactions to inhaled allergens in asthmatic subjects was associated with changes in a large proportion of the measured plasma proteome, whereof protease inhibitors show the largest changes, likely to influence the inflammatory response. Of several other proteins altered in relation to the LPR, many are associated with coagulation.
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Project description:Purpose: To evaluate whether methylation changes occuring upon M. avium infection correlate with transcriptional alterations in trained HSCs, we reisolated CD45.2 untrained vs. trained HSCs (LK CD150+CD48–) from transplanted mice one-month after M. avium challenge to generate bulk RNA-Seq libraries. We compared both libraries to a library from HSCs of WT donor mice following primary M. avium infection. This comparison revealed changes in global transcription in trained HSCs after M. avium challenge compared to primary infection, with the untrained set serving as the irradiation and transplant control. Methods: 10,000-50,000 HSCs (CD45.1/CD45.2 KL CD150+ CD48-) into HBSS from naive or 1-month infected WT/transplanted mice (n=10-12 per group). DNA and RNA were isolated with the NucleoSpin ® RNA Plus XS kit (Macherey Nagel). RNA-seq libraries were prepared using SMARTer® Stranded Total RNA-Seq Kit v2 - Pico Input Mammalian (Takara Bio Usa). Illumina NovaSeq SP was used for sequencing with a paired-end sequencing length of 10bp. Samples were sequenced at Admera Health using an Illumina HiSeq 2x150 at sequencing depth of ~40 million reads. FASTQ files were preprocessed using HTS stream (https://github.com/ibest/HTStream) and the clean FASTQ file were aligned using STAR. Differential expression (DE) analysis of gene expression was performed using Limma-Voom. False discovery rate (FDR)<0.05 was considered statistically significant. Further analysis was completed using Illumina Basespace packages and programs (deSeq2) We performed gene ontology analysis for differentially expressed genes with q value of <0.05. Gene set enrichment analysis (GSEA, Broad Institute and UC San Diego) was completed using normalized gene counts as previously described ((Subramanian et al., 2005). Results were visualized using Tidyverse packages in R. Comparison of differentially expressed gene lists and generation of Venn diagrams were generated using the GeneVenn webtool. Biological process and molecular function gene ontology analysis of differentially expressed genes found in bulk RNA-seq datasets were completed using GENEONTOLOGY of the Mus musculus database (Ashburner et al., 2000; Gene Ontology, 2021). Results:The gene expression profile of M. avium-challenged untrained HSCs was compared to that of control infected animals . Next, the gene expression profile of trained HSCs was compared to the same untransplanted controls to detect transcriptional changes potentiated by training. This analysis revealed many more genes (670) upregulated upon secondary infection in the trained population compared to untrained (255). GO analysis of the trained HSPC gene signature showed that there was an enrichment in pathways related to G protein-coupled receptor signaling, cellular adhesion, cell differentiation, immunity, and autophagy . Strikingly, gene set enrichment analysis (GSEA) of the genes uniquely upregulated upon infectious challenge in the trained HSPCs aligned with enhanced metabolism — glycolysis, oxidative phosphorylation, and fatty acid metabolism — genes that are reportedly rewired in macrophages in other trained immunity models (Figure 4C). Pathways related to transcription and translation were also upregulated in trained HSPCs (Supplemental Figure 4C). On the other hand, untrained HSPCs primarily upregulated chemokine responses and immune response pathways, as we previously reported. Together, these analyses reveal trained versus untrained HSPCs have differing responses to infection at 1 month post-challenge compared to untransplanted controls. When directly comparing untrained versus trained gene expression, those with a primary infectious exposure (untrained HSPCs) upregulated immune response pathways while trained cells upregulated metabolic pathway genes. We speculate that relatively lower immune response pathways in trained HSPCs may reflect greater control of infection in the host, enabling the cells to prioritize other cellular pathways. Conclusions: Upregulation of metabolism and gene regulation pathways in trained HSPCs that have been rechallenged with M. avium may reflect greater control of infection and improved immunity within the host compared to untrained controls.
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Project description:Allergen exposure induces the airway epithelium to produce chemoattractants, proallergic interleukins, matrix-modifying proteins, and proteins that influence the growth and activation state of airway structural cells. These proteins, in turn, contribute to the influx of inflammatory cells and changes in structure that characterize the asthmatic airway. To use the response of the airway epithelium to allergen to identify genes not previously associated with allergic responses, we compared gene expression in cytokeratin-positive cells before and after segmental allergen challenge. After challenge with concentrations of allergen in the clinically relevant range, 755 (6%) of the detectable sequences had geometric mean fold-changes in expression, with 95% confidence intervals that excluded unity. Using a prospectively defined conservative filtering algorithm, we identified 141 sequences as upregulated and eight as downregulated, with confirmation by conventional polymerase chain reaction in all 10 sequences studied. Using this approach, we identified asthma-associated sequences including interleukin (IL-)-3, IL-4, and IL-5 receptor subunits, the p65 component of nuclear factor-kappaB, and lipocortin. The genomic response of the human airway to concentrations of allergen in the clinically relevant range involves a greater number of genes than previously recognized, including many not previously associated with asthma that are differentially expressed after airway allergen exposure. Keywords: Before and after allergen challenge
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