Transcriptomics

Dataset Information

0

Preparing for the first breath at single cell level [single cell Drop-seq]


ABSTRACT: 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://research.cchmc.org/pbge/lunggens/SCLAB.html.

ORGANISM(S): Mus musculus

PROVIDER: GSE122329 | GEO | 2019/01/06

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2019-01-06 | GSE122331 | GEO
2019-01-06 | GSE122330 | GEO
2019-03-29 | GSE129064 | GEO
2019-03-29 | GSE128985 | GEO
2019-04-01 | GSE129122 | GEO
| PRJNA504643 | ENA
| PRJNA504641 | ENA
| PRJNA1076275 | ENA
| PRJNA504644 | ENA
2021-01-12 | GSE154904 | GEO