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SRX4996534: GSM3464102: mouse whole lung at PND1_Batch2; Mus musculus; RNA-Seq
2 ILLUMINA (Illumina HiSeq 2500) runs: 534.9M spots, 43.3G bases, 23.5Gb downloads

Submitted by: NCBI (GEO)
Study: Preparing for the first breath at single cell level [single cell Drop-seq]
show Abstracthide 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. Overall design: Left and right lobes of PND1 mouse lungs were rapidly dissected in ice-cold PBS. Cell concentration was examined with a hemocytometer and adjusted to around 100 cells per microliter for Drop-seq.
Sample: mouse whole lung at PND1_Batch2
SAMN10396496 • SRS4031561 • All experiments • All runs
Organism: Mus musculus
Library:
Instrument: Illumina HiSeq 2500
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: PAIRED
Construction protocol: Cell concentration was examined with a hemocytometer and adjusted to around 100 cells per microliter for Drop-seq. Drop-seq experiments were carried out largely followed the protocol described in Macosko et al. Libraries were prepared using Illumina Nextera XT kit per illumina's protocols.
Experiment attributes:
GEO Accession: GSM3464102
Links:
Runs: 2 runs, 534.9M spots, 43.3G bases, 23.5Gb
Run# of Spots# of BasesSizePublished
SRR8176397255,214,27020.7G11.3Gb2019-01-23
SRR8176398279,703,33722.7G12.2Gb2019-01-23

ID:
6730261

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