Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ScRNA-seq and bulk RNA-seq analysis of normoxic and hyperoxic lung in mice

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Mus musculus

PROVIDER: GSE217489 | GEO | 2022/11/08

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

scRNA-seq and bulk RNA-seq analysis of normoxic and hyperoxic lung in mice [scRNA-seq]

2022-11-07 | GSE217488 | GEO

scRNA-seq and bulk RNA-seq analysis of normoxic and hyperoxic lung in mice [bulk RNA-seq]

Project description:To explore the key molecules and mechanisms involved in the occurrence and development of BPD by using a hyperoxia-based BPD model in neonatal mice, providing new ideas for discovering new therapeutic target to approach the clinical prevention and treatment for BPD. We performed whole transcriptome sequencing (RNA-seq) profiling analysis of lung endothelial cells from mouse normoxic or hyperoxic mice

2022-11-02 | GSE216046 | GEO

scRNA-seq and bulk RNA-seq analysis of normoxic and hyperoxic lung in mice [scRNA-seq]

Project description:scRNA-seq and bulk RNA-seq analysis of normoxic and hyperoxic lung in mice [scRNA-seq]

| PRJNA899102 | ENA

scRNA-seq and bulk RNA-seq analysis of normoxic and hyperoxic lung in mice

Project description:scRNA-seq and bulk RNA-seq analysis of normoxic and hyperoxic lung in mice

| PRJNA899090 | ENA

scRNA-seq and bulk RNA-seq analysis of normoxic and hyperoxic lung in mice [bulk RNA-seq]

Project description:scRNA-seq and bulk RNA-seq analysis of normoxic and hyperoxic lung in mice [bulk RNA-seq]

| PRJNA891758 | ENA

Comparative analysis of cellular heterogeneity in the LAM lung using bulk RNA-seq and scRNA-seq

Project description:This SuperSeries is composed of the SubSeries listed below.

2020-08-31 | GSE139819 | GEO

Coupled scRNA-seq and Bulk-seq reveal the role of HMMR in hepatocellular carcinoma

Project description: Not available

| S-EPMC11021596 | biostudies-literature

scRNA-seq and bulk RNA-seq of NGP cells

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-12-31 | GSE144931 | GEO

Pulmonary effects of repeated six-hour normoxic and hyperoxic dives.

Project description:This study examines differential effects of immersion, elevated oxygen partial pressure, and exercise on pulmonary function after series of five daily six-hour dives at 130 kPa (1.3 ATA), with 18 hours between dives. Five cohorts of 10 to 14 divers participated. The exposure phases were resting while breathing O2 or air in the water ("wetO2", "wetAir") or O2 in the hyperbaric chamber ("dryO2"), and exercise in the water while breathing O2 or air ("wetO2X", "wetAirX"). Respiratory symptoms were recorded during and after each dive, and pulmonary function (forced flow-volume) was measured twice at baseline before diving, after each dive both immediately and on the following morning, and three days post diving ("Day+3"). The incidences of symptoms and of flow volume changes from baseline greater than normal limits ("ΔFV") were assessed, as were mean ΔFV. The parameters examined were forced vital capacity (FVC), forced expired volume in 1 second (FEV1), and forced expired flow from 25% to 75% volume expired (FEF25-75). The phases ranked from greatest to least fraction of diver-days with symptoms were wetO2X (56%) > dryO2 (42%) > wetO2 (13%) > [wetAir (2%) or wetAirX (1%)] (p<0.05). FEV1 and FEF25-75 were depressed in the morning following wetO2 and wetO2X and on Day+3 after and wetO2X, but increased immediately following each wetAirX dive. O2 exposures caused symptoms and ΔFV suggestive of pulmonary oxygen toxicity,exacerbated by exercise. Indices of small airway function showed late (17-hour) post-O2 exposure deficits, but, particularly with exercise, improvement was evident early after exposure with or without O2. FEF25-75 and FEV1 remained depressed on Day+3 after wetO2 and wetO2X.

| S-EPMC6128531 | biostudies-literature

Integrative Analyses of scRNA-seq, Bulk mRNA-seq, and DNA Methylation Profiling in Depressed Suicide Brain Tissues.

Project description:BackgroundSuicidal behaviors have become a serious public health concern globally due to the economic and human cost of suicidal behavior to individuals, families, communities, and society. However, the underlying etiology and biological mechanism of suicidal behavior remains poorly understood.MethodsWe collected different single omic data, including single-cell RNA sequencing (scRNA-seq), bulk mRNA-seq, DNA methylation microarrays from the cortex of Major Depressive Disorder (MDD) in suicide subjects' studies, as well as fluoxetine-treated rats brains. We matched subject IDs that overlapped between the transcriptome dataset and the methylation dataset. The differential expression genes and differentially methylated regions were calculated with a 2-group comparison analysis. Cross-omics analysis was performed to calculate the correlation between the methylated and transcript levels of differentially methylated CpG sites and mapped transcripts. Additionally, we performed a deconvolution analysis for bulk mRNA-seq and DNA methylation profiling with scRNA-seq as the reference profiles.ResultsDifference in cell type proportions among 7 cell types. Meanwhile, our analysis of single-cell sequence from the antidepressant-treated rats found that drug-specific differential expression genes were enriched into biological pathways, including ion channels and glutamatergic receptors.ConclusionsThis study identified some important dysregulated genes influenced by DNA methylation in 2 brain regions of depression and suicide patients. Interestingly, we found that oligodendrocyte precursor cells (OPCs) have the most contributors for cell-type proportions related to differential expression genes and methylated sites in suicidal behavior.

| S-EPMC10726413 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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