LncRNA expression analysis in patients with eosinophilic and neutrophilic asthma
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA480892 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR7516580_1.fastq.gz | Fastqsanger.gz | |||
| SRR7516580_2.fastq.gz | Fastqsanger.gz | |||
| SRR7516590_1.fastq.gz | Fastqsanger.gz | |||
| SRR7516590_2.fastq.gz | Fastqsanger.gz | |||
| SRR7516581_1.fastq.gz | Fastqsanger.gz |
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Project description:Long non-coding RNA (lncRNA) are known to be important in many diseases. There has been some reports that lncRNA take part in the pathogenesis of systemic inflammation of asthma. lncRNA regulates gene transcription, protein expression and epigenetic regulation. However, the lncRNAs associated with differently airway phenotype such as eosinophilic and neutrophilic asthma remains unknown. We aimed at identifying the differences in circulating lncRNA signature in Eos and Neu samples. lncRNA expression were studied between blood samples from Eos patients, Neu patients and healthy individuals (Control). Bioinformatic analysis was used to describe relevant biological pathways. Using quantitative real-time PCR, lncRNA expression was measured. Comparing with Control samples, Eos sample has 190 own lncRNA and Neu sample has 166 own lncRNA(difference ≥ 2-fold). KEGG pathway annotation data and GO terms revealed that several lncRNAs are possibly associated with respective phenotype. lncRNA was identifying to differ significantly between Eos and Neu samples by using qRT-PCR. The results show us that lncRNA may be involved in different phenotypes of asthma. Whether we can recognize different phenotypes of asthma through these lncRNA (as biomarkers) needs further study.
2019-04-09 | GSE117038 | GEO
Project description:Asthma is a complex, chronic respiratory disease with marked clinical and pathophysiological heterogeneity. Distinct inflammatory phenotypes of eosinophilic, mixed, neutrophilic and paucigranulocytic asthma are identified in patients, but most in vivo mouse models, studying asthma mechanisms, mimic only eosinophilic phenotype in humans. The detailed unbiased in vivo studies on molecular responses among different kinds of inflammation in asthma models are lacking. Therefore, we developed mouse models representing three different inflammatory phenotypes of airway inflammation, namely eosinophilic, mixed, and neutrophilic asthma via different methods of house dust mite sensitisation. We used microarrays to determine the global gene expression in the lungs of mice with eosinophilic, mixed and neutrophilic inflammatory phenotypes to uncover underlying differences in clinical presentation and to find novel molecular targets and pathways, which might reflect different molecular mechanisms of the disease. By whole genome transcriptome profiling, we found that airway tight junction (TJ) molecules, mucins and inflammasome-related genes are differentially expressed in distinct phenotypes of allergic airway inflammation. Next, detailed analysis of several molecules from these families by quantitative RT-PCR, western blot and confocal microscopy revealed that (i) Zo-1 and Cldn18 were downregulated in all phenotypes, while Cldn4 upregulation was characteristic for neutrophilic airway inflammation; (ii) mucins Clca1 (Gob5) and Muc5ac were upregulated in eosinophilic and even more in neutrophilic asthma, and (iii) upregulation of inflammasome-related molecules such as Nlrp3, Nlrc4, Casp-1 and IL-1b was characteristic for neutrophilic asthma. Finally, we showed that inflammasome/Th-17/neutrophilic axis cytokines, namely IL-1b and IL-17 impaired epithelial barrier function and increased mucins expressions in primary human bronchial epithelial cells from normal and asthmatic donors. Our findings suggest that differential expression of TJs, mucins and inflammasome-related molecules in distinct asthma phenotypes could be mechanistically linked and might further reflect the differences observed in the clinic.
2018-10-03 | GSE108417 | GEO
Project description:This study identifies differentially expression genes in the sputum of people with eosinophilic, neutrophilic and paucigranulocytic asthma. A selection of markers identified using this microarray were further validated using qPCR on a wider sample set. Gene expression profiles were generated from induced sputum samples from 47 asthma patients and were grouped by the inflammatory phenotype assigned using sputum cell counts into neutrophilic asthma (n=12), eosinophilic asthma (n=17) and paucigranulocytic asthma (n=18). RNA was extracted, amplified and hybridised to Illumina Sentrix HumanRef-8 Version 2 Expression BeadChips, and genes that were differentially expressed between asthma inflammatory phenotypes were compared.
2014-03-25 | E-GEOD-45111 | biostudies-arrayexpress
Project description:Many neutrophilic asthma patients do not respond to current medications, highlighting the need for novel therapeutic targets. Here, we investigated the role of intraflagellar transport (IFT) complex protein IFT20 in neutrophilic asthma. Mice lacking CD4+ T cell-specific IFT20 displayed reduced protease-induced neutrophilic asthma inflammation. Thus, IFT20 may represent a promising therapeutic target for treatment of patients with neutrophilic asthma.
2022-07-31 | GSE179622 | GEO
Project description:Severe asthma is a complex disease with different inflammatory phenotypes. Transcriptomic profiling has contributed to understanding the pathogenesis of asthma, especially type-2 inflammation; however, there is still poor understanding of non-eosinophilic asthma, and consequently there are limited treatment options. The aim of this study was to determine transcriptomic profiles in endobronchial biopsies of adults with severe asthma and different inflammatory phenotypes (neutrophilic, eosinophilic and paucigranulocytic) compared with healthy controls.
2021-07-31 | GSE143303 | GEO
Project description:Airway epithelial barrier, mucins and inflammasome in distinct eosinophilic, neutrophilic and mixed inflammatory phenotypes of asthma
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Project description:Long non-coding RNA (lncRNA) plays roles in many diseases including asthma. Several lncRNAs function in the early differentiation of T-helper cells. lncRNA controls gene transcription, protein expression and epigenetic regulation; As one of the four asthma phenotypes, eosinophilic asthma(EA) occupies the largest proportion in asthma patients; However, lncRNA associated with eosinophilic asthma have not to be identified so far. We designed the study to identify the circulating lncRNA signature in EA samples. We tested whether any significant changes in lncRNA expression was observed in EA and healthy people (Control) sample’ blood samples. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed through lncRNA-mRNA co-expression network. lncRNA expression was measured by means of microarray, quantitative real-time PCR. A total of 41 dysregulated lncRNAs and 271 dysregulated mRNAs (difference ≥2-fold) were found in EA compared to Control samples. GO terms and KEGG pathway annotation data revealed that several lncRNA were significantly associated with EA. By qRT-PCR, lncRNA is confirmed significantly expression between EA and control samples. The results presented here show several lncRNA may take part in the immune process of EA. Whether these lncRNA can be used as biomarkers need to be further study in future trials
2019-04-09 | GSE106230 | GEO
Project description:This study identifies differentially expression genes in the sputum of people with eosinophilic, neutrophilic and paucigranulocytic asthma. A selection of markers identified using this microarray were further validated using qPCR on a wider sample set.
2014-03-25 | GSE45111 | GEO
Project description:To determine LncRNA transcribed in PBMCs, we have employed whole genome microarray expression profiling as a discovery platform to identify LncRNA expression in PBMCs donated by patients of asthma and healthy volunteers.
2021-05-01 | GSE143192 | GEO
Project description:Long non-coding RNA (lncRNA) is important in many diseases. Some studies have shown that lncRNA affects the pathogenesis of systemic inflammation of asthma. lncRNA regulates gene transcription, protein expression, and epigenetic regulation. However, lncRNAs associated with different airway phenotypes, such as eosinophilic (Eos) and neutrophilic (Neu) asthma have not been identified. The goal of this study was to determine the differences in circulating lncRNA signatures in Eos and Neu samples. Using RNA-sequencing (RNA-seq), lncRNA expression was evaluated in peripheral whole blood samples among Eos patients, Neu patients, and healthy individuals (Control). Bioinformatic analysis was used to predict relevant biological pathways. Quantitative PCR (qPCR) was used to measure gene expression in whole blood samples, Jurkat cells, and human CD4+ T cells. Finally, a novel lncRNA, LNC_000127, was inhibited by transfection of Jurkat cells with a lentiviral vector, and the effect was examined by Human Asthma RT2 Profiler™ PCR Array and western blotting. Compared to control samples, Eos samples contained 190 unique lncRNAs and Neu samples had 166 unique lncRNAs (difference ≥2-fold). KEGG pathway annotation data and GO terms revealed that different lncRNAs are involved in different mechanisms. LNC_000127, was highly expressed in Eos samples before treatment; its expression was increased in Jurkat cells and human CD4+ T cells following stimulation with PMA/CD28. Subsequent analyses revealed that LNC_000127 functions in the Th2 inflammation pathway. The results suggest that lncRNAs are involved in different phenotypes of asthma. Whether the different phenotypes of asthma can be recognized based on these lncRNAs (as biomarkers) requires further analysis. Targeting LNC_000127 may be effective for reducing Th2 inflammation in Eos asthma.
| S-EPMC6433975 | biostudies-literature