Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic comparison of mouse Epithelial Trachea Cells

ABSTRACT: We isolated mouse epithelial trachea cells from FVB mice in order to identify their transcriptomic signature.

ORGANISM(S): Mus musculus

PROVIDER: GSE85021 | GEO | 2017/07/09

SECONDARY ACCESSION(S): PRJNA335947

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptomic comparison of FVB mouse strain lung Cells and epithelial trachea cells.

Project description:We injected 12 (6 males, 6 females) FVB mice 8 weeks old, with either saline or urethane. One week later we sacrificed and harvested their lungs. The dissected lungs were assayed to RNA extraction (via trizol). Moreover we cultured mouse tracheal epithelial cells. We compared all samples in order to identify each specific transcriptomic signature.

2019-06-28 | GSE94921 | GEO

Transcriptome analysis of mouse lung epithelial cells

Project description:Mouse lung epithelial subpopulations (alveolar type 2, basal and airway luminal cells) freshly dissociated from mouse lung and trachea were isolated by FACS. RNA-seq gene expression profiling was used to determine gene signature from each population.

2017-01-31 | GSE83991 | GEO

Proteomic analysis of trachea and midgut from larvae of Drosophila melanogaster

Project description:Total protein was isolated from the trachea and midgut of D. melanogaster 3rd instar larvae and analysed by shotgun proteomics in order to identify the putative carbohydrate-active enzymes.

2018-01-11 | MSV000081913 | MassIVE

Transcription profiling of human trachea epithelium in smokers and non smokers

Project description:The initial site of smoking-induced lung disease is the small airway epithelium, which is difficult and time consuming to sample by fiberoptic bronchoscopy. We developed a rapid, office-based procedure to obtain trachea epithelium without conscious sedation from healthy nonsmokers (n=26) and healthy smokers (n=19, 27 ± 15 pack-yr). Gene expression differences [fold-change >1.5, p< 0.01, Benjamini-Hochberg correction] were assessed with Affymetrix microarrays. 1,057 probe sets were differentially expressed in healthy smokers vs nonsmokers, representing >500 genes. Trachea gene expression was compared to an independent group of small airway epithelial samples (n=23 healthy nonsmokers, n=19 healthy smokers, 25 ± 12 pack-yr). The trachea epithelium is more sensitive to smoking, responding with 3-fold more differentially-expressed genes than small airway epithelium. The trachea transcriptome paralleled the small airway epithelium, with 156 of 167 (93%) genes that are significantly up- and down-regulated by smoking in the small airway epithelium showing similar direction and magnitude of response to smoking in the trachea. Trachea epithelium can be obtained without conscious sedation, representing a less invasive surrogate “canary” for smoking-induced changes in the small airway epithelium. This should prove useful in epidemiologic studies correlating gene expression with clinical outcome in assessing smoking-induced lung disease. Experiment Overall Design: Tracheal gene expression: matched group of small airway epithelial samples (n=23 healthy non-smokers, n= 19 healthy smokers)

2009-09-04 | E-GEOD-13933 | biostudies-arrayexpress

RNA-seq data from the trachea epithelial cells of two inbred chicken lines at three time points after challenge with lentogenic Newcastle disease virus

Project description:This study aimed to characterize differential responses between the relatively resistant (Fayoumi) and susceptible (Leghorn) chicken lines when challenged with a high titered lentogenic Newcastle Disease Virus (NDV) strain via the eyes and nostrils at three weeks of age. The trachea epithelial cells were collected from challenged and non-challenged birds from each line at 2, 6, and 10 days-post-infection (dpi). High quality RNA was isolated, used for cDNA library construction, and sequenced on the HiSeq2500.

2017-03-29 | E-MTAB-5431 | biostudies-arrayexpress

Characterize the unique transcriptional changes in the embryonic trachea of knockout mice

Project description:To further identify the transcriptional changes underlying congenital tracheal malformation in a1H knockout mice, the differential gene expression panel was examined by Affymetrix microarray. To investigate the roles of a1H-regulated genes in tracheal development, we characterize the unique transcriptional changes of early trachea in kockout mice, and compare the expression profiles of knock out trachea with those of wild type trachea. We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up or down-regulated genes during this process. Mouse embryos trachea were collected at embryo day 16 (E16) for RNA extraction and hybridization on Affymetrix microarrays. We sought to obtain homozygous mouse embryos trachea in order to compare with gene expression profile of wild type mouse tracheal.

2014-02-14 | E-GEOD-27305 | biostudies-arrayexpress

Trachea Epithelium as a “ Canary” for Cigarette Smoking-induced Biologic Phenotype of Small Airway Epithelium

2009-08-27 | GSE13933 | GEO

scRNA-Seq of Mouse Trachea Basal Cells

Project description:Single cell RNA sequencing of 4209 mouse trachea basal cells.

2022-09-29 | GSE134064 | GEO

Proteome and Secretome of Denatonium-treated Mouse Trachea Cells

Project description:The peptide-level analysis of proteome and secretome changes of mouse trachea cells upon denatonium treatment (in comparison to Ringer lactate solution control).

2022-08-11 | PXD018170 | Pride

Comprehensive single cell RNA-seq datasets of mice trachea epithelial progenitors in 6 time points from E12.5 to E18.5 and mature epithelial cells in 2-month mice

Project description:We delineate the comprehensive developmental trajectories of trachea epithelial progenitors in mice using scRNA-seq datasets. After obtaining the scRNA-seq data in 6 time points from E12.5 to E18.5, we merged all the datasets to describe the establishment process of basal cell population during development, which works as airway facultative stem cells. We found that Krt17 is a novel intermediate marker for basal cell progenitors and Id genes are key transcriptional factors for balancing the proliferation and differentiation programs by promoting their cell cycle.

2021-04-30 | GSE152692 | 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