Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: HEMT in CF Sinus Disease

PROVIDER: PRJNA1055074 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR27318100_1.fastq.gz	Fastqsanger.gz
	SRR27318100_2.fastq.gz	Fastqsanger.gz
	SRR27318101_1.fastq.gz	Fastqsanger.gz
	SRR27318101_2.fastq.gz	Fastqsanger.gz
	SRR27318102_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 132

Similar Datasets

Transcription profiling of human sinus mucosa from cystic fibrosis, chronic rhinosinusitis patients and controls

Project description:Our data demonstrates an increased number of submucosal glands in the sinus mucosa of pediatric patients with chronic rhinosinusitis (CRS). Additionally, data in the literature indicates differentially altered expression of innate markers of immunity and of inflammatory mediators in the sinus mucosa of adult patients with cystic fibrosis, non-CF controls, and controls. Experiment Overall Design: Analyses will focus on inflammatory/immune response genes to identify genes in CRS or CF patients that are involved in pathways that impact on pathogenesis in these diseases. Analysis will also focus on genes in developmental pathways to identify mediators implicated in the development of submucosal glandular hyperplasia in pediatric patients with CRS.

2008-04-09 | E-GEOD-10406 | biostudies-arrayexpress

Mucus overproduction

2008-02-08 | GSE10406 | GEO

GNPS CF sinusitis samples

Project description:A set of paired lung and sinus mucus samples from CF patients, sinus mucus from non-CF sinusitis patients, and healthy controls. LC-MS/MS UPLC

2015-04-10 | MSV000079105 | GNPS

RNA sequencing of human airway epithelial cultures from cystic fibrosis (CF) and non-CF donors exposed to tumor necrosis factor-alpha and interleukin-17 (TNFα+IL-17) for 48 hours

Project description:Gene expression was compared between disease conditions (CF vs. non-CF) and treatments (TNFα+IL-17 vs. control) as well as the interaction between disease and treatment.

2021-06-30 | GSE176121 | GEO

RNA sequencing of human airway epithelial cultures from cystic fibrosis (CF) and non-CF donors exposed to tumor necrosis factor-alpha and interleukin-17 (TNFα+IL-17) for 5 hours

Project description:Gene expression was compared between disease conditions (CF vs. non-CF) and treatments (TNFα+IL-17 vs. control) as well as the interaction between disease and treatment.

2024-12-20 | GSE285099 | GEO

Early Developmental Deficits in the CF sheep model

Project description:Cystic Fibrosis (CF) is associated with pathology in multiple tissues including the lung, digestive tract and reproductive system. Lung disease is primarily a post-natal event but other organs are affected before birth. Here we use the CF sheep model to investigate the initiation and progression of CF disease through gestation.

2023-02-14 | GSE202024 | GEO

Cystic Fibrosis Pigs Develop Lung Disease and Exhibit Defective Bacterial Eradication at Birth

Project description:Lung disease causes most of the morbidity and mortality in cystic fibrosis (CF). However, understanding its pathogenesis has been hindered by lack of an animal model with characteristic features of CF. To overcome this problem, we recently generated pigs with targeted CFTR genes. We now report that within months of birth, CF pigs spontaneously develop hallmark features of CF lung disease including airway inflammation, remodeling, mucus accumulation, and infection. Their lungs contained multiple bacterial species, suggesting an equal opportunity host defense defect. In humans, the temporal and/or causal relationships between inflammation and infection have remained uncertain. To investigate these processes, we studied newborn pigs. Their lungs showed no inflammation, but were less often sterile than controls. Moreover, after intrapulmonary bacterial challenge, CF pigs failed to eradicate bacteria as effectively as wild- type pigs. These results suggest that impaired bacterial elimination is the pathogenic event that initiates a cascade of inflammation and pathology in CF lungs. Finding that CF pigs have a bacterial host defense defect within hours of birth provides an exciting opportunity to further investigate pathogenesis and to test therapeutic and preventive strategies before secondary consequences develop. Pig model of human CF lung disease

2010-09-17 | E-GEOD-21071 | biostudies-arrayexpress

Early Pathogenesis of Cystic Fibrosis Gallbladder Disease in a Porcine Model

Project description:Hepatobiliary disease causes significant morbidity in people with cystic fibrosis (CF), yet this problem remains understudied. We previously found that newborn CF pigs have microgallbladders with significant luminal obstruction in the absence of infection and inflammation. In this study, we sought to better understand the early pathogenesis of CF pig gallbladder disease. We hypothesized that loss of CFTR would impair gallbladder epithelium anion/liquid secretion and increase mucin production. By single cell RNA sequencing, we identified a single epithelial cell population that co-expressed CFTR, MUC5AC, and MUC5B. By bulk tissue RNA sequencing, there was no significant difference in the epithelial expression of gel-forming mucins between non-CF and CF pig gallbladders. Also, there were minimal transcriptional changes in CF relative to non-CF.

2020-10-28 | GSE152145 | GEO

miRNA repertoires of ex-vivo bronchial, nasal, and polyps cells cultured from healthy and CF donors

Project description:Cystic fibrosis (CF), a genetic disorder, is characterized by chronic lung disease. Small non-coding RNAs are key regulators of gene expression and participate in various processes, which are dysregulated in CF; however, they remain poorly studied. Here, we determined the complete microRNAs (miRNAs) expression pattern in three CF ex-vivo models. The miRNA profiles of air-liquid interface cultures of airway epithelia (bronchi, nasal cells, and nasal polyps) samples from patients with CF and non-CF controls were obtained by deep sequencing. Compared with non-CF controls, several miRNAs were deregulated in CF samples, for instance miR-181a-5p and the miR-449 family were upregulated. Moreover, mature miRNAs often showed variations (i.e., isomiRs) relative to their reference sequence, such as miR-101, suggesting that miRNAs consist of heterogeneous repertoires of multiple isoforms with different effects on gene expression. Analysis of miR-181a-5p and miR-101-3p roles indicated that they regulate the expression of WISP1, a key component of cell proliferation/migration programs. We showed that miR-101 and miR-181a-5p participated in aberrant recapitulation of wound healing programs by controlling WISP1 mRNA and protein level. Our miRNA expression data bring new insights into CF physiopathology and define new potential therapeutic targets in CF

2020-10-21 | GSE159708 | GEO

Gastric cancer: cancer vs. normal, chemoresistance signature that correlates with time to progression of disease

Project description:microRNA profiling of gastric cancer vs. normal, pre-/-post CF (cisplatin/fluorouracil) chemotherapy. Biopsy samples were collected prior to chemotherapy from 90 gastric cancer patients treated with CF and from 34 healthy volunteers. At the time of disease progression, post-treatment samples were collected from 8 clinical responders. miRNA expression was determined using a custom-designed Agilent microarray. In order to identify an miRNA signature for chemotherapy resistance, we correlated miRNA expression levels with the time to progression (TTP) after CF.

2011-12-16 | GSE30070 | GEO

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