Nasal brushes analysis
Ontology highlight
ABSTRACT:
PROVIDER: EGAS00001006657 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Gene expression profiling was performed on nasal scrape samples obtained from asthmatics and matched healthy controls, to identify markers associated with various asthma subtypes.
2015-10-23 | GSE41862 | GEO
Project description:scRNA-seq data from human eosinophils purified from blood samples. Samples include three healthy patients and three asthmatic donors.
2024-04-23 | E-MTAB-14010 | biostudies-arrayexpress
Project description:Gene expression profiling was performed on nasal scrape samples obtained from asthmatics and matched healthy controls, to identify markers associated with various asthma subtypes. Nasal scrape samples were collected from asthmatics and healthy controls and subjected to expression profiling using Affymetrix HG-U133Plus2.0 microarrays.
2015-10-23 | E-GEOD-41862 | biostudies-arrayexpress
Project description:Gene expression profiles were generated from induced sputum samples in asthma and healthy controls. The study identified differential gene expression and pathways in severe asthma.
2019-09-12 | GSE137268 | GEO
Project description:We applied single-cell spatial transcriptomics (Xenium, 10X genomics) to reveal the lung wall landscape from healthy donors, patients with asthma undergoing anti-inflammatory therapies and historical clinical trial samples.
2025-04-08 | GSE269354 | GEO
Project description:The evolutionary relationship of cells within tissues having a similar function but located in different anatomical sites is of considerable biological interest. The development of single-cell RNA sequencing (scRNA-seq) protocols has greatly enhanced opportunities to address this topic. Here we focus on cells in the epithelium which lines two regions of the human respiratory tract and the male genital ducts to delineate the shared, differentiated functions of the different cell populations. Transcriptomic data were used to assess the gene expression profiles of human bronchial, nasal, and epididymal epithelium (HBE, HNE, and HEE). Bulk RNA-seq showed many shared genes expressed in cells from the nasal and bronchial epithelium and highlighted their divergence from the epididymal epithelium. ScRNA-seq in HBE and HNE cells demonstrated overlapping gene expression patterns within basal and secretory cell populations. Moreover, the distribution of cell types was altered in HNE cells derived from donors with cystic fibrosis (CF) when compared to cells from healthy donors. Next, the HBE and HNE datasets were merged and confirmed intersection of cell type gene expression profiles from the two sites, but that secretory and ciliated cells were the most abundant type in the HBE samples, while more basal cells were seen in the HNE. We then merged single-cell data from the epididymis to determine if overlapping functions of these cells corresponded to those in the airway. Of note, only the pulmonary ionocytes/epididymis clear cells showed a strongly conserved identity, which was confirmed by imputation in bulk RNA-seq datasets from the same cells.
2022-05-23 | GSE191041 | GEO
Project description:The evolutionary relationship of cells within tissues having a similar function but located in different anatomical sites is of considerable biological interest. The development of single-cell RNA sequencing (scRNA-seq) protocols has greatly enhanced opportunities to address this topic. Here we focus on cells in the epithelium which lines two regions of the human respiratory tract and the male genital ducts to delineate the shared, differentiated functions of the different cell populations. Transcriptomic data were used to assess the gene expression profiles of human bronchial, nasal, and epididymal epithelium (HBE, HNE, and HEE). Bulk RNA-seq showed many shared genes expressed in cells from the nasal and bronchial epithelium and highlighted their divergence from the epididymal epithelium. ScRNA-seq in HBE and HNE cells demonstrated overlapping gene expression patterns within basal and secretory cell populations. Moreover, the distribution of cell types was altered in HNE cells derived from donors with cystic fibrosis (CF) when compared to cells from healthy donors. Next, the HBE and HNE datasets were merged and confirmed intersection of cell type gene expression profiles from the two sites, but that secretory and ciliated cells were the most abundant type in the HBE samples, while more basal cells were seen in the HNE. We then merged single-cell data from the epididymis to determine if overlapping functions of these cells corresponded to those in the airway. Of note, only the pulmonary ionocytes/epididymis clear cells showed a strongly conserved identity, which was confirmed by imputation in bulk RNA-seq datasets from the same cells.
2022-05-23 | GSE191060 | GEO
Project description:Background: In asthma, airway epithelium remodeling can already be detected during childhood, and epithelial cells are more susceptible to virus and oxidative stress. Their exact role in natural history and severity of children allergic respiratory disease remains however surprisingly unexplored. Aim: To analyze dysfunctions of epithelium in dust mite allergic respiratory disease (rhinitis ± asthma) in children. Methods: Expression profilings of nasal epithelial cells collected by brushing were performed on Affymetrix Hugene 1.0 ST arrays. All allergic patients were sensitized to dust mite. 19 patients had an isolated allergic rhinitis (AR). 14 patients had AR associated with asthma. Patients were compared to 12 controls, their severity and control being assessed according to NAEPP and ARIA criteria. Infections by respiratory viruses were excluded by real-time PCR measurements. Results: 61 probes were able to distinguish allergic rhinitis children from healthy controls. A majority of these probes was under the control of Th2 cytokines, as evidenced by parallel experiments performed on primary cultures of nasal epithelial cells. In uncontrolled asthmatic patients, we observed not only an enhanced expression of these Th2-responsive transcripts, but also a down-regulation of interferon-responsive genes. Conclusion: Our study identifies a Th2 driven epithelial phenotype common to all dust mite allergic children. Besides, it suggests that epithelium is involved in the severity of the disease. Expression profiles observed in uncontrolled asthmatic patients suggest that severity of asthma is linked at the same time to atopy and to impaired viral response. Nasal epithelium gene expression profiling of dust mite allergic children with isolated rhinitis, rhinitis associated with asthma and controls. 38 samples classified in 4 categories : 14 isolated rhinitis (R), 6 rhinitis with uncontrolled asthma (UA), 7 rhinitis with controlled asthma (CA) and 11 healthy subjects (C )
2012-01-05 | E-GEOD-19187 | biostudies-arrayexpress
Project description:Eosinophils scRNA-seq from healthy and asthmatic donors
| PRJEB74921 | ENA
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