Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Differentially expressed profile of LncRNA in PBMCs (peripheral blood mononuclear cells) of asthma patients

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE143192 | GEO | 2021/05/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Differenatiation of ceRNA (circRNA, lncRNA and mRNA) expression in PBMCs (peripheral blood mononuclear cells)

Project description:To determine ceRNA transcribed during the PBMCs, we have employed whole genome microarray expression profiling as a discovery platform to identify ceRNA expression in PBMCs donated by T1DM (type 1 diabetes mellitus) patients and healthy volunteers.

2020-06-25 | GSE133225 | GEO

Differenatiation of miRNA expression in PBMCs (peripheral blood mononuclear cells)

Project description:To determine miRNA transcribed during the PBMCs, we have employed whole genome microarray expression profiling as a discovery platform to identify miRNA expression in PBMCs donated by T1DM (type 1 diabetes mellitus) patients and healthy volunteers.

2020-06-25 | GSE133217 | GEO

Differentially expressed profile of LncRNA in PBMCs (peripheral blood mononuclear cells) of asthma patients

Project description:Differentially expressed profile of LncRNA in PBMCs (peripheral blood mononuclear cells) of asthma patients

| PRJNA599169 | ENA

Expression data from peripheral blood mononuclear cells(PBMCs) of patients with bronchial asthma and normal controls

Project description:Bronchial asthma is a heterogeneous disease with distinct disease phenotypes and underlying pathophysiological mechanisms. LncRNAs involves in numerous functionally different biological and physiological processes. The aim of this study is to identify the differentially expressed lncRNAs and mRNAs in patients with asthma and to further explore the functions and interactions between lncRNAs and mRNAs. Ten patients with asthma and 9 healthy controls were enrolled in this study. We used microarray analysis to identify lncRNA and mRNA expression in their PBMC.

2021-02-02 | GSE165934 | GEO

lncRNA expression analysis in patients with eosinophilic and neutrophilic asthma

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

Gene Expression Patterns in Peripheral Blood Mononuclear Cells Associated with Asthma Exacerbation Attack

Project description:A large, prospective, non-interventional study was designed to study gene expression changes in peripheral blood mononuclear cells (PBMCs) associated with asthma exacerbations over the course of a year. PBMC samples were collected from subjects at the time of the study visits defined as 1) Quiet: during stable disease at 3 month intervals, 2) Exacerbation: during a 14 day period of deteriorating asthma and 3) Follow-up: within 14 days after cessation of an exacerbation. Gene expression levels during stable asthma, exacerbation, and two weeks after an exacerbation were compared. This series of samples comprises of peripheral blood mononuclear cells (PBMCs) collected during the following study visits (a) quiet (N=394 samples from 118 subjects), (b) exacerbation (N=166 samples from 118 subjects) and (c) follow-up (N=125 samples from 102 subjects)

2011-07-13 | E-GEOD-19301 | biostudies-arrayexpress

Gene Expression Patterns in Peripheral Blood Mononuclear Cells Associated with Asthma Exacerbation Attack

2011-07-14 | GSE19301 | GEO

SINGLE-CELL CHARACTERIZATION OF A MODEL OF POLY I:C-STIMULATED PERIPHERAL BLOOD MONONUCLEAR CELLS IN SEVERE ASTHMA

Project description:Background: Asthma has been associated with impaired interferon response. Multiple cell types have been implicated in such response impairment and may be responsible for asthma immunopathology. However, existing models to study the immune response in asthma are limited by bulk profiling of cells. Our objective was to Characterize a model of peripheral blood mononuclear cells (PBMCs) of patients with severe asthma (SA) and its response to the TLR3 agonist Poly I:C using two single-cell methods. Methods: Two complementary single-cell methods, DropSeq for single-cell RNA sequencing (scRNA-Seq) and mass cytometry (CyTOF), were used to profile PBMCs of SA patients and healthy controls (HC). Poly I:C-stimulated and unstimulated cells were analyzed in this study. Results: PBMCs (n=9,414) from five SA (n=6,099) and three HC (n=3,315) were profiled using scRNA-Seq. Six main cell subsets, namely CD4+ T cells, CD8+ T cells, natural killer (NK) cells, B cells, dendritic cells (DCs), and monocytes, were identified. CD4+ T cells were the main cell type in SA and demonstrated a pro-inflammatory profile characterized by increased JAK1 expression. Following Poly I:C stimulation, PBMCs from SA had a robust induction of interferon pathways compared with HC. CyTOF profiling of Poly I:C stimulated and unstimulated PBMCs (n=160,000) from the same individuals (SA=5; HC=3) demonstrated higher CD8+ and CD8+ effector T cells in SA at baseline, followed by a decrease of CD8+ effector T cells after poly I:C stimulation. Conclusions: Single-cell profiling of an in vitro model using PBMCs in patients with SA identified activation of pro-inflammatory pathways at baseline and strong response to Poly I:C, as well as quantitative changes in CD8+ effector cells. Thus, transcriptomic and cell quantitative changes are associated with immune cell heterogeneity in this model to evaluate interferon responses in severe asthma.

2021-04-22 | GSE172495 | GEO

Differenatiation of ceRNA (circRNA, lncRNA and mRNA) expression in PBMCs (peripheral blood mononuclear cells)

Project description:Differenatiation of ceRNA (circRNA, lncRNA and mRNA) expression in PBMCs (peripheral blood mononuclear cells)

| PRJNA550413 | ENA

PBMCs from healthy volunteers or septic patients

Project description:PBMCs from healthy volunteers or septic patients

| PRJNA1006774 | ENA