Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Time course NanoString microRNA expression profiling in sorted endothelial cells and type II pneumocytes from WT C57BL6 mice

ABSTRACT: Mammalian fetal lung development is a complex biological process.Despite considerable progress, a comprehensive understanding of the dynamic regulatory networks that govern postnatal alveolar lung development is still lacking. The purpose of this study as part of the LungMAP consortium (www.lungmap.net) is to understand the transcriptional changes in the process of mammalian lung development. Method: We isolated endothelial and type II pneumocyte cells from c57BL/6 mice from different time points and performed miRNA array by NanoString technology.

ORGANISM(S): Mus musculus

PROVIDER: GSE128809 | GEO | 2019/03/25

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

A time course study by mRNA Sequencing to identify transcriptional changes in mice lung development

Project description:Mammalian fetal lung development is a complex biological process.Despite considerable progress, a comprehensive understanding of the dynamic regulatory networks that govern postnatal alveolar lung development is still lacking. The purpose of this study as part of the LungMAP consortium (www.lungmap.net) is to understand the transcriptional changes in the process of mammalian lung development.

2019-03-19 | GSE128419 | GEO

Time course RNA-seq profiling in sorted endothelial, epithelial, and immune cells from WT C57BL6 mice

Project description:The respiratory system undergoes remarkable structural, biochemical, and functional changes necessary for adaptation to air breathing at birth. To identify dynamic changes in gene expression in the diverse pulmonary cells at birth, we performed Drop-seq based massive parallel single-cell RNA sequencing. An iterative cell type identification strategy was used to unbiasedly identify the heterogeneity of murine pulmonary cell types on postnatal day 1. Distinct populations of epithelial, endothelial, and immune cells were identified, each containing distinct subpopulations. Cell type predictions and signature genes identified using Drop-seq were cross-validated using an independent single cell isolation platform. Temporal changes in RNA expression patterns were compared before and after birth to identify signaling pathways selectively activated in specific pulmonary cell types, demonstrating activation of UPR signaling during perinatal adaptation of the lung. Present data provide the first single cell view of the adaptation to air breathing after birth. All data from the present study are freely accessed at https://www.lungmap.net/

2019-03-29 | GSE128985 | GEO

SMRT-RID mutation linked to Type I Pneumocyte Associated Respiratory Distress Syndrome via TR repression

Project description:We show that knock-in mutations of the nuclear corepressor SMRT in C57Bl6 mice (SMRTmRID) produces a novel respiratory distress syndrome (RDS) due to prematurity of the type I pneumocyte. Treatment with the anti-thyroid hormone drug, propylthiouracil (PTU), completely rescues the SMRT-induced RDS, suggesting an unrecognized and essential role for the thyroid hormone receptor (TR) in lung development. We show that TR and SMRT control type I pneumocyte differentiation through Klf2, which in turn appears to directly activate the type I pneumocyte gene program. Conversely, mice without lung Klf2 lack mature type I pneumocytes and die shortly after birth, closely recapitulating the SMRTmRID phenotype. These results identify a second nuclear receptor, the TR, in type I pneumocyte differentiation and suggest a new type of therapeutic option in the treatment of glucocorticoid non-responsive RDS. Total RNA was obtained from WT and SMRT-RID E18.5 lungs of embryos from mothers treated with Diet containing 0.15% PTU or control chow for 2 days (from E16.5).

2011-10-13 | E-GEOD-30661 | biostudies-arrayexpress

SMRT-RID mutation linked to Type I Pneumocyte Associated Respiratory Distress Syndrome via TR repression

2011-10-14 | GSE30661 | GEO

Mus musculus strain:c57bl6

Project description:Mus musculus development of lung microbiome

| PRJNA359139 | ENA

Time course RNA-seq profiling of mouse sorted Pdgfra+ fibroblasts

Project description:The respiratory system undergoes remarkable structural, biochemical, and functional changes necessary for adaptation to air breathing at birth. To identify dynamic changes in gene expression in the diverse pulmonary cells at birth, we performed Drop-seq based massive parallel single-cell RNA sequencing. An iterative cell type identification strategy was used to unbiasedly identify the heterogeneity of murine pulmonary cell types on several time points. Cell type predictions and signature genes identified using Drop-seq were cross-validated using an independent single cell isolation platform. Temporal changes in RNA expression patterns were compared before and after birth to identify signaling pathways selectively activated in specific pulmonary cell types, demonstrating activation of UPR signaling during perinatal adaptation of the lung. Present data provide the first single cell view of the adaptation to air breathing after birth. All data from the present study are freely accessed at https://www.lungmap.net/

2019-03-29 | GSE129064 | GEO

Time course RNA-seq profiling of mouse sorted AT2 cells

Project description:The respiratory system undergoes remarkable structural, biochemical, and functional changes necessary for adaptation to air breathing at birth. To identify dynamic changes in gene expression in the diverse pulmonary cells at birth, we performed Drop-seq based massive parallel single-cell RNA sequencing. An iterative cell type identification strategy was used to unbiasedly identify the heterogeneity of murine pulmonary cell types on postnatal day 1. Distinct populations of epithelial, endothelial, mesenchymal, and immune cells were identified, each containing distinct subpopulations. Cell type predictions and signature genes identified using Drop-seq were cross-validated using an independent single cell isolation platform. Temporal changes in RNA expression patterns were compared before and after birth to identify signaling pathways selectively activated in specific pulmonary cell types, demonstrating activation of UPR signaling during perinatal adaptation of the lung. Present data provide the first single cell view of the adaptation to air breathing after birth. All data from the present study are freely accessed at https://www.lungmap.net/

2019-04-01 | GSE129122 | GEO

Time course NanoString microRNA expression profiling in sorted endothelial cells and type II pneumocytes from WT C57BL6 mice

Project description:Time course NanoString microRNA expression profiling in sorted endothelial cells and type II pneumocytes from WT C57BL6 mice

| PRJNA528933 | ENA

Mammalian Methylation Consortium

Project description:Mammalian Methylation Consortium

| PRJNA928364 | ENA

miRQC data for NanoString nCounter miRNA Expression Assays.

Project description:nCounter miRNA Expression Assay data for all profiled miRQC samples prepared by the miRQC Consortium. In this study, we systematically compared 12 commercially available miRNA expression platforms by measuring an identical set of standardized positive and negative control samples, including human universal reference RNA, human brain RNA and titrations thereof, human serum samples, and synthetic spikes from miRNA family members with varying homology. We developed novel and robust quality metrics to objectively assess platform performance of very different technologies such as small RNA sequencing, RT-qPCR and (microarray) hybridization. We assessed reproducibility, sensitivity, accuracy, specificity, and concordance of differential expression. miRQC Consortium multi-platform comparision. *This represents the NanoString component only

2013-12-30 | E-GEOD-49600 | biostudies-arrayexpress

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