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Emergence of Endothelial Cell Subtypes and Role of Cell Cycle Control in Arterial-Venous Specification During Embryonic Vascular Development [bulk RNA-seq]

GSE287115 Mus musculus (mouse) Single-cell RNA-seq 27 samples Submitted 2025/10/08 Platform GPL34290
At a glance

Single-cell RNA-seq · mouse · 27 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
27 samples: 9 conditions, mostly in triplicateGroups 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
Emergence of endothelial subtypes and role of cell cycle control in arterial-venous specification during embryonic vascular developmentCell reports · 2025
Summary (written by the submitters)
During embryonic vascular development, endothelial cells that line all blood vessels undergo specification into arterial, capillary, and venous subtypes to form a circulatory network. Regulation of endothelial cell cycle state has been shown to play a critical role in enabling arterial-venous specification and remodeling in a postnatal, blood flow-mediated, and tissue specific manner; however, if a similar cell cycle-mediated mechanism is a common mechanism that regulates embryonic vascular development, even prior to blood flow, is unknown.
Read the full summary ↓
To investigate this, we first defined the emergence of distinct subtypes by isolating endothelial cells from wild type embryos at embryonic day (E)8.0, prior to blood flow; E8.5, just after flow begins; and E9.5. We performed single cell RNA sequencing and analyses, and found increased specification of arterial, venous and hemogenic subtypes over time, concomitant with decreased primordial and capillary endothelial cells. Gene Ontology analysis revealed that cell cycle control was significantly enriched over time, and we found arterial identity highly correlated with growth arrest. To gain more insight into the potential role of cell cycle control in specification, we isolated similar endothelial cells from Fucci-expressing embryos, sorted them into distinct cell cycle states (early G1, late G1 and S/G2/M), performed bulk RNA sequencing, and bioinformatically correlated endothelial cell cycle states with subtype identities. We found venous endothelial cells are highly enriched in early G1 and arterial endothelial cells highly enriched in late G1, which was corroborated with fluorescent imaging of Fucci embryos. Furthermore, we showed that endothelial cell hyperproliferation, induced by deletion of cell cycle inhibitor Cdkn1b (p27), impaired arterial-venous specification and vascular development. These results support that at the earliest stage of vascular development, endothelial cells in arterial and venous vessels reside in different cell cycle states and endothelial cell cycle control is required for their specification.
Published in
Emergence of endothelial subtypes and role of cell cycle control in arterial-venous specification during embryonic vascular development
Aragon JW, Nelson EA, Chavkin NW et al. · Cell reports 2025 · PMID 41066228 · doi:10.1016/j.celrep.2025.116368
This dataset
Open GSE287115 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 GSE287115_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 PRJNA1211143 and SRA study SRP557627. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41066228) ↗
Study design
9 conditions, mostly in triplicate
EG1_E80 ×3 EG1_E85 ×3 EG1_E95 ×3 LG1_E80 ×3 LG1_E85 ×3 LG1_E95 ×3 SG2M_E80 ×3 SG2M_E85 ×3 +1 more

Supports a between-group comparison across 27 samples.

How we read this: 9 replicated groups read from 27 sample titles; they account for 27 of them. 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
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