Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptional profiles of peripheral eosinophils in COPD and asthma - a preliminary study

ABSTRACT: The role of eosinophilic inflammation in chronic obstructive pulmonary disease (COPD) pathogenesis is unknown and is probably different than in asthma. The molecular processes underlying the differences between eosinophils from asthma and COPD have not been studied. The study group included 5 patients with asthma and 4 patients with COPD. The RNA-Seq data analysis identified 26 differentially expressed genes between COPD and asthma (according to adjusted p-value). In total, 6 genes were up-regulated (CCL3L1, CCL4L2, SERPINB2, PRSS21, GPR82) and 20 were down-regulated (e.g. JUN, IFITM3, DUSP1, GNG7, ZNF107, BCL6) in peripheral eosinophils of COPD patients compared to asthma. Biological processes associated with down-regulated genes were cell differentiation, positive regulation of RNA metabolic process. The genes associated with signaling of IL-4 and IL-13 pathway were down-regulated in COPD eosinophils compared to asthma. Peripheral eosinophils from COPD and asthma patients present different transcriptomic profiles suggesting their different function in pathobiology of both obstructive airway diseases.

ORGANISM(S): Homo sapiens

PROVIDER: GSE237284 | GEO | 2024/01/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Proteomic analysis of human eosinophils in patients with asthma-COPD overlap and eosinophilic COPD

Project description:Activated eosinophils is a major cell type to be mainly involved in allergic diseases. Recent studies also indicated that eosinophils play an important role in the pathogenesis of chronic obstructive pulmonary disease (COPD), especially asthma-COPD overlap and/or eosinophil COPD. The aim of this study is to clarify cellular characters of human eosinophils in patients with asthma-COPD overlap and/or eosinophil COPD.

2024-06-20 | PXD052550 | JPOST Repository

Eosinophils promote lung emphysema via CTSL

Project description:Patients with chronic obstructive pulmonary disease (COPD) having higher blood eosinophil levels exhibit worse lung function and more severe emphysema, implying the potential role of eosinophils in emphysema development. However, the specific mechanism underlying eosinophil-mediated emphysema development is not fully elucidated. In this study, single-cell RNA sequencing was used to identify eosinophil subgroups in mouse models of asthma and emphysema and analyze their functions. Analysis of the accumulated eosinophils revealed differential transcriptomes between the mouse lungs of elastase-induced emphysema and ovalbumin-induced asthma., Eosinophil depletion alleviated elastase-induced emphysema. Notably, eosinophil-derived cathepsin L (CTSL) degraded the extracellular matrix (ECM), causing emphysema in the pulmonary tissue. Eosinophils were positively correlated with serum CTSL levels, which were increased in patients with emphysema than in those without emphysema. Collectively, these results suggest that CTSL expression in eosinophils plays an important role in ECM degradation and remodeling and is related to emphysema in patients with COPD. Therefore, eosinophil-derived CTSL may serve as a potential therapeutic target for patients with emphysema.

2023-10-17 | GSE237749 | GEO

Genetic characterization of macrophages from induced sputum of asthma and COPD patients

Project description:Background: Macrophages are important cells in pathogenesis of obstructive lung diseases including asthma and chronic obstructive pulmonary disease (COPD). The aim of the study was a multivariate, genetic, comparative analysis of macrophages from patients with asthma and COPD. Methods: Macrophages were isolated from induced sputum (IS) by magnetic bead separation. Transcriptomic measurements were carried out using Affymetrix Human Gene 2.1 ST ArrayStrip in 17 samples: 8 asthma (4 ICS naive , 4 ICS treated), 4 COPD and 5 control samples. The expression of the most significantly differentiating genes was evaluated by real time PCR in 34 samples (15 patients with asthma, 11 patients with COPD and 17 controls). Results: USP53 was the only gene differentially expressed (p adjusted clue =0.09) in the comparison between ICS naïve and ICS treated asthma. The PCR verification showed increased expression of BTF3, CDS2, DNAJC13, DDX5, GNAI2, SCGB1A1, SIRPB1, TRAF3IP, USP53, WDR49 in the asthma compared to COPD group. The changed gene expression profile of macrophages were characterized mostly by gene ontology terms linked with cell motility, cilium function, cell junction and adhesion organization. Conclusions: Gene expression profiling of sputum macrophages revealed distinct molecular capacity in asthma and COPD. The role of sputum macrophages in the pathophysiology of obstructive lung diseases is probably connected with biological processes associated with their motility, cilium dysfunction and cell junction organization.

2018-08-09 | GSE112260 | GEO

Airway epithelial gene expression in asthma versus healthy controls

Project description:Airway epithelial brushings were obtained for microarray analysis by research bronchoscopy in 62 subjects with mild-to-moderate asthma not on inhaled steroids and 43 healthy controls. Asthma subjects were stratified into 2 subgroups, Th2 high and Th2 low asthma, based on their expression of a three-gene signature of Type 2 inflammation: POSTN, SERPINB2, and CLCA1. Gene expression comparisons were made between: 1. asthmatics and healthy controls, and 2. Th2 high asthma and Th2 Low asthma/Healthy controls. The gene expression alterations most associated with asthma were then used in gene set enrichment analyses and gene signature development to compare this asthma dataset to COPD gene expression datasets.

2015-04-01 | E-GEOD-67472 | biostudies-arrayexpress

Airway and parenchyma RNA sequencing in a mouse model of asthma chronic obstructive pulmonary disease overlap

Project description:To profile airway and parenchyma transcriptomes in our mouse model of asthma chronic obstructive pulmonary disease overlap, we employed RNA-Seq (TruSeq Stranded mRNA sample preparation, NovaSeq 6000, 20 million 100 bp single reads) as a discovery tool to identify mRNAs of interest in the development of experimental asthma chronic obstructive pulmonary disease overlap. Experimental asthma: Some mice were sensitized and challenged intranasally with house dust mite (HDM) extract 5 days per week for 3 weeks. In other mice, this was HDM treatment 3 times/week from weeks 4-11. Controls received phosphate buffered saline (PBS). Experimental chronic obstructive pulmonary disease (COPD): Mice were exposed to cigarette smoke (CS) twice per day, 5 days per week for 8 weeks. Control mice were exposed to normal air (AIR). Experimental asthma-COPD overlap (ACO): Mice were sensitized and challenged intranasally with HDM or PBS. From weeks 4-11, mice were also exposed to CS or AIR. Treatment with dexamethasone (DEX): Separate groups of mice were treated with DEX during week 11. Lungs were excised, airway and parenchyma tissue were isolated through blunt dissection, and total RNA isolated.

2023-02-01 | GSE199853 | GEO

Gene expression profiles of COPD and nonCOPD small airway epithelia

Project description:Gene expression profiles in this submission were part of an integrative DNA methylation and gene expression integrative study. The goal of this study was to determine whether DNA methylation patterns were disrupted in small airway epithelia of patients with Chronic Obstructive Pulmonary Disease (COPD) compared to airways from subjects with normal lung function. No subject has cancer or asthma at time of collection. Corresponding DNA methylation profiles for these subjects can be found at GSE55454. We concluded that methylation alterations in COPD airways may underlie disease-specific gene-expression changes (such as the Nrf2 oxidative response pathway). RNA isolated from bronchial brushings was processed and hybridized to Affymetrix Human Gene 1.0 ST Arrays. DNA isolated from these same samples can be found at GSE55454

2014-03-28 | E-GEOD-56341 | biostudies-arrayexpress

Gene expression profiles of COPD and nonCOPD small airway epithelia

2014-03-28 | GSE56341 | GEO

Plasma proteomics enable differentiation of lung adenocarcinoma from chronic obstructive pulmonary disease (COPD)

Project description:Background: Chronic obstructive pulmonary disease (COPD) is a major risk factor for the development of lung adenocarcinoma (AC). AC often develops on underlying COPD, thus the differentiation of both entities by biomarker is challenging. Although survival of AC patients strongly depends on early diagnosis, a biomarker panel for AC detection and differentiation from COPD is still missing. Methods: Plasma samples from 176 patients with AC with or without underlying COPD, COPD patients, and hospital controls were analyzed using mass spectrometry-based proteomics. We performed univariate statistics and additionally evaluated machine learning algorithms regarding the differentiation of AC vs. COPD and AC with COPD vs. COPD. Results: Univariate statistics revealed significantly regulated proteins that were significantly regulated between the patient groups. Furthermore, Random forest classification yielded the best performance for differentiation of AC vs. COPD (area under the curve (AUC) 0.935) and AC with COPD vs. COPD (AUC 0.916). The most influential proteins were identified by permutation feature importance and compared to those identified by univariate testing. Conclusion: We demonstrate the great potential of machine learning for differentiation of highly similar disease entities and present a panel of biomarker candidates that should be considered for the development of a future biomarker panel.

2022-10-17 | PXD035120 | Pride

Activation of IL5R and CRTH2 on Human Eosinophils Elicit a Similar Molecular Response and Reveal a Synergistic Effect

Project description:Eosinophils represent key cells driving inflammatory processes in asthma and eosinophilic esophagitis (EoE). Eosinophils migration and activation in disease is orchestrated by a myriad of molecules among which prostaglandin D2, the cognate ligand of CRTH2, and interleukin 5 play a crucial role. In clinical studies with CRTH2 antagonists and anti-IL-5 antibodies, a reduction of the number of eosinophils in disease tissue of asthma and EoE patients was demonstrated, validating the pharmacological effects on eosinophils migration. In contrast, activation of eosinophils through IL5 or CRTH2 receptor has not been studied to the same extent. Understanding the molecular CRTH2 and IL5 activation bias in disease would provide a better assessment of pharmacological intervention, or the need for a combination therapy, to block eosinophils efficiently. We performed gene expression profiling studies with isolated human eosinophils to compare the molecular signatures of CRTH2 and IL5 receptor activation. Furthermore we employed gene set enrichment analysis to query the eosinophils activation bias in asthma and EoE. We observed that activation of CRTH2 and IL5 on human eosinophils shared a large part of the molecular response but also present distinct molecular signatures. Remarkably, FADS1, involved in the synthesis of prostaglandin D2, was identified as a specific CRTH2-induced gene that is counter-regulated by IL5, potentially representing a feedback loop between CRTH2 and IL5 receptor. In silico use of the identified gene signatures and FADS1 demonstrated an enrichment of the IL5 activation signature in lung tissue of asthma patients, whereas esophagus tissue of EoE patients presented a CRTH2 bias.

2018-07-25 | GSE75142 | GEO

DNA methylation profiling in lungs tissues of smokers and patients with COPD

Project description:Epigenetics changes have been shown to be affected by cigarette smoking. It is possible that cigarette smoke (CS)-mediated DNA methylation would affect several cellular and pathophysiological processes, acute exacerbations, and comorbidity in lungs of patients with chronic obstructive pulmonary disease (COPD). We sought to determine whether genome-wide lung DNA methylation profiles of smokers and patients with COPD were significantly different from non-smokers. We isolated DNA from lung tissues of patients including 8 lifelong non-smokers, 8 current smokers, and 8 patients with COPD, and subsequently analyzed the samples using the Illumina’s Infinium HumanMethylation450 BeadChip.

2017-06-12 | GSE92511 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data