NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE128985 Query DataSets for GSE128985
Status Public on Mar 29, 2019
Title Time course RNA-seq profiling in sorted endothelial, epithelial, and immune cells from WT C57BL6 mice
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary 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/
 
Overall design Time course RNA-seq profiling in sorted endothelial, epithelial, immune, and mesenchymal-derived cells from E16.5, E18.5, P7 and P28 wild-type C57BL6 mice
Web link https://www.lungmap.net/
 
Contributor(s) Whitsett JA, Xu Y
Citation missing Has this study been published? Please login to update or notify GEO.
NIH grant(s)
Grant ID Grant title Affiliation Name
U01 HL122642 "Lung MAP" Atlas Research Center CHILDREN'S HOSPITAL MEDICAL CENTER Jeffrey A Whitsett
Submission date Mar 28, 2019
Last update date Nov 10, 2020
Contact name LungMAPP DCC
E-mail(s) lungmap2dcc@gmail.com
Organization name LungMAP DCC
Street address 3333 Burnet Ave
City Cincinnati
State/province OH
ZIP/Postal code 45229
Country USA
 
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (22)
GSM3689531 Endo-E16.5-Rep1
GSM3689532 Endo-E16.5-Rep2
GSM3689533 Epi-E16.5-Rep1
This SubSeries is part of SuperSeries:
GSE128810 LungMAP Consortium Data
GSE129151 CCHMC LungMAP Consortium Data
Relations
BioProject PRJNA529646
SRA SRP189740

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE128985_LMEX0000000684_exprMatrix_final.txt.gz 1.5 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap