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Dynamic behavior and lineage plasticity of the pulmonary venous endothelium

GSE278220 Mus musculus (mouse) Single-cell RNA-seq 15 samples Submitted 2024/10/16 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 15 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
15 samples: 15 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Dynamic behavior and lineage plasticity of the pulmonary venous endotheliumNature cardiovascular research · 2024
Summary (written by the submitters)
Repair of the pulmonary vascular bed and the origin of new vasculature remains underexplored despite the critical necessity to meet oxygen demands after injury. Given their critical role in angiogenesis in other settings, we investigated the role of venous endothelial cells in endothelial regeneration after adult lung injury. Using single cell transcriptomics, we identified the norepinephrine transporter Slc6a2 as a marker of pulmonary venous endothelial cells and targeted that locus to generate a venous-specific, inducible Cre mouse line.
Read the full summary ↓
Contributions of the venous endothelial cells to angiogenesis were examined during postnatal development, adult viral injury, and adult hyperoxia injury. Remarkably, we observed that venous endothelial cells proliferate into the adjacent capillary bed upon influenza injury and hyperoxia injury, but not during normal postnatal development. Imaging analysis demonstrated that venous endothelial cells exhibit the ability to proliferate and differentiate into general capillary and CAR4 expressing aerocyte capillary endothelial cells after infection, thus contributing to repair of the capillary plexus vital for gas exchange. Single cell transcriptomic analysis of Slc6a2 lineage traced cells confirmed these observations, with progeny exhibiting significant loss of venous identity and gain of capillary marker expression upon injury resolution. Our studies thus establish that venous endothelial cells exhibit demonstrable progenitor capacity upon respiratory viral injury and sterile injury, contributing to repair of the alveolar capillary bed responsible for pulmonary function.
Published in
Dynamic behavior and lineage plasticity of the pulmonary venous endothelium
Wong J, Zhao G, Adams-Tzivelekidis S et al. · Nature cardiovascular research 2024 · PMID 39653825 · doi:10.1038/s44161-024-00573-2
This dataset
Open GSE278220 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE278220_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1166107 and SRA study SRP535274. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39653825) ↗
Study design
15 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 15 sample titles: 15 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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