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| Status |
Public on Mar 29, 2019 |
| Title |
Time course RNA-seq profiling of mouse sorted Pdgfra+ fibroblasts |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
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| 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 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/
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| Overall design |
Time course RNA-seq profiling of mouse sorted Pdgfra+ fibroblasts
Contributor: LungMAP Consortium
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| |
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| Contributor(s) |
Xu Y, Whitsett JA, Perl AK |
| Citation missing |
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| NIH grant(s) |
| Grant ID |
Grant title |
Affiliation |
Name |
| U01 HL122642 |
"Lung MAP" Atlas Research Center |
CHILDREN'S HOSPITAL MEDICAL CENTER |
Jeffrey A Whitsett |
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| |
| Submission date |
Mar 29, 2019 |
| Last update date |
Nov 10, 2020 |
| Contact name |
LungMAPP DCC |
| E-mail(s) |
lungmap2dcc@gmail.com
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| Organization name |
LungMAP DCC
|
| Street address |
3333 Burnet Ave
|
| City |
Cincinnati |
| State/province |
OH |
| ZIP/Postal code |
45229 |
| Country |
USA |
| |
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| Platforms (1) |
| GPL17021 |
Illumina HiSeq 2500 (Mus musculus) |
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| Samples (4)
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| This SubSeries is part of SuperSeries: |
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| Relations |
| BioProject |
PRJNA529890 |
| SRA |
SRP189889 |
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