Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Transcriptomic profiling of sino-nasal aspergillosis in Dogs

PROVIDER: PRJNA557110 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR9852230.fastq.gz	Fastqsanger.gz
	SRR9852221.fastq.gz	Fastqsanger.gz
	SRR9852231.fastq.gz	Fastqsanger.gz
	SRR9852222.fastq.gz	Fastqsanger.gz
	SRR9852232.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

Gene expression in canine sino-nasal aspergillosis and idiopathic lymphoplasmacytic rhinitis

Project description:Analyse of gene expression profiling in nasal mucosa of dogs affected by sino-nasal aspergillosis or lymphoplasmacytic rhinitis.

2012-01-01 | E-MEXP-3166 | biostudies-arrayexpress

Host-Microbe Interactions in the Nasal Cavity of Dogs with Chronic Idiopathic Rhinitis

Project description:Chronic rhinitis (CR) is a frustrating clinical syndrome in dogs and our understanding of the disease pathogenesis in is limited. Increasingly, host-microbe interactions are considered key drivers of clinical disease in sites of persistent mucosal inflammation such as the nasal and oral cavities. Therefore, we applied next generation sequencing tools to interrogate abnormalities present in the nose of dogs with CR and compared immune and microbiome profiles to those of healthy dogs. Host nasal cell transcriptomes were evaluated by RNA sequencing, while microbial communities were assessed by 16S rRNA sequencing. Correlation analysis was then used to identify significant interactions between nasal cell transcriptomes and the nasal microbiome and how these interactions were altered in animals with CR. Notably, we observed significant downregulation of multiple genes associated with ciliary function in dogs with CR, suggesting a previously undetected role for ciliary dysfunction in this syndrome. We also found significant upregulation of immune genes related to the TNF-a and interferon pathways. The nasal microbiome was also significantly altered in CR dogs, with overrepresentation of several potential pathobionts. Interactome analysis revealed significant correlations between bacteria in the genus Porphyromonas and the upregulated host inflammatory responses in dogs with CR, as well as defective ciliary function which was correlated with Streptococcus abundance. These findings provide new insights into host-microbe interactions in a canine model of CR and indicate the presence of potentially causal relationships between nasal pathobionts and the development of nasal inflammation and ciliary dysfunction.

2024-08-08 | GSE255529 | GEO

oral-nasopharyngeal metagenome

Project description:Mice sino nasal microbiome Targeted Locus (Loci)

| PRJNA295682 | ENA

oral-nasopharyngeal metagenome

Project description:Nasal microbiome of dogs

| PRJNA319381 | ENA

Project description:16s rRNA sequencing of sino-nasal microbiome and mock-community samples

| PRJNA369775 | ENA

human nasopharyngeal metagenome

Project description:Bacterial communities of the human sino-nasal cavity raw sequence reads

| PRJNA296430 | ENA

Identification of 3 Endotypes In Pediatric ARDS Using Nasal Transcriptomics-Low Input

Project description:This study used nasal transcriptomic profiling of the inferior turbinate in control and pediatric ARDS subjects to identify endotypes. This data set is for amplified specimens. The study identfied three pediatric ARDS endotypes.

2020-06-23 | GSE152979 | GEO

Identification of 3 Endotypes In Pediatric ARDS Using Nasal Transcriptomics-Standard Input

Project description:This study used nasal transcriptomic profiling of the inferior turbinate in control and pediatric ARDS subjects to identify endotypes. This data set is for non-amplified specimens. The study identfied three pediatric ARDS endotypes.

2020-06-23 | GSE152978 | GEO

Bald thigh syndrome in sighthounds

Project description:Bald thigh syndrome is a common hair loss disorder in sighthounds. The overall goal of our study was to identify the cause of bald thigh syndrome and the pathological changes associated with it. We approached this aim by comparing skin biopsies and hair shafts of affected and control dogs microscopically as well as by applying high-throughput technologies such as genomics, transcriptomics and proteomics. While the histology is rather unspecific in most cases, trichogram analysis and scanning electron microscopy revealed severe structural abnormalities in hair shafts of affected dogs. This finding is supported by the results of the transcriptomic and proteomic profiling of skin biopsies and hair shafts, respectively, where genes and proteins important for differentiation of the inner root sheath and the assembly of a proper hair shaft were downregulated. Transcriptome profiling of skin biopsies revealed a downregulation of genes encoding 23 hair shaft keratins and 51 keratin associated proteins, as well as desmosomal cadherins and several actors of the BMP signaling pathway, which is important for hair shaft differentiation. To identify differentially expressed proteins in structural abnormal hair shafts, we performed nLC-MS/MS- based proteomic analysis of fractured hair shafts of four dogs with bald thigh syndrome (Greyhounds, n=3, Whippet, n=1) and intact telogen hair shafts of four control dogs (Greyhounds, n=3, Whippet= n=1) plucked on the thighs. Decreased expression of keratin 71 and desmocollin 2 on the mRNA level in skin biopsies corresponded with a reduced protein expression in the hair shafts of affected dogs.

2019-11-13 | PXD012371 | Pride

Spatial transcriptomics of in vivo invasive trancheobronchitis biopsies obtained from patients with influenza-associated pulmonary aspergillosis or COVID-19-associated pulmonary aspergillosis

Project description:To assess whether transcriptional differences exist in the epithelial tissue and the inflammatory infiltrate of invasive Aspergillus tracheobronchitis in patients with severe influenza or severe COVID-19, we performed GeoMx spatial transcriptomics on four biopsy samples in total: two of patients with influenza-associated pulmonary aspergillosis (IAPA) and two of patients with COVID-19-associated pulmonary aspergillosis (CAPA). Several regions of interest (ROIs) were delineated in each biopsy sample, and transcriptomic data was derived of each of these ROIs using GeoMx with a whole transcriptome atlas with SARS-CoV-2 spike-in.

2022-08-24 | GSE198096 | 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