RNA-seq profiling of mouse lung endothelial cells to investigate ENG-dependent and ENG-independent BMP9-induced target genes.
RNA-seq (gene expression) · mouse · 16 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 16 samples: 4 × KO, untreated, 90min, vs 4 × KO, treated, 90min, vs 4 × WT, untreated, 90min, vs 4 × WT, treated, 90min,Groups 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
- Endoglin as a BMP9 co-receptor in vascular endothelial cells: prodomain displacement and TGFBRII recruitmentNature communications · 2025
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE289309_RAW.tar (it can run to tens of gigabytes).
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.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1222389 and SRA study SRP563232. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8788757 KO, untreated, 90min, rep1 KO, untreated, 90min,
- GSM8788758 KO, untreated, 90min, rep2 KO, untreated, 90min,
- GSM8788759 KO, untreated, 90min, rep3 KO, untreated, 90min,
- GSM8788760 KO, untreated, 90min, rep4 KO, untreated, 90min,
- GSM8788761 KO, treated, 90min, rep1 KO, treated, 90min,
- GSM8788762 KO, treated, 90min, rep2 KO, treated, 90min,
- GSM8788763 KO, treated, 90min, rep3 KO, treated, 90min,
- GSM8788764 KO, treated, 90min, rep4 KO, treated, 90min,
- GSM8788765 WT, untreated, 90min, rep1 WT, untreated, 90min,
- GSM8788766 WT, untreated, 90min, rep2 WT, untreated, 90min,
- GSM8788767 WT, untreated, 90min, rep3 WT, untreated, 90min,
- GSM8788768 WT, untreated, 90min, rep4 WT, untreated, 90min,
- GSM8788769 WT, treated, 90min, rep1 WT, treated, 90min,
- GSM8788770 WT, treated, 90min, rep2 WT, treated, 90min,
- GSM8788771 WT, treated, 90min, rep3 WT, treated, 90min,
- GSM8788772 WT, treated, 90min, rep4 WT, treated, 90min,
- GSE330229 Accelerated RNA polymerase II elongation drives endothelial transition and plaque vulnerability: pharmacological targeting of the super elongation complex [RNA-seq] 24 samples shares endothelial, rna-seq, target
- GSE302791 Targeted CRISPR-Cas9 screening identifies core transcription factors controlling murine haemato-endothelial fate commitment [RNA-seq] 12 samples shares endothelial, rna-seq, target
- GSE274544 Single cell profiling reveals three endothelial to hematopoietic transitions with divergent isoform expression landscapes [scRNA-Seq] 1494 samples shares endothelial, rna-seq
- GSE309071 Single cell profiling reveals three endothelial to hematopoietic transitions with divergent isoform expression landscapes [RNA-seq] 221 samples shares endothelial, rna-seq
- GSE299114 Endothelial Cells retain inflammatory memory through chromatin remodeling [RNA-Seq 2] 53 samples shares endothelial, rna-seq
- GSE233056 A gene regulatory network of the endothelial-to-hematopoietic transition [RNA-seq] 28 samples shares endothelial, rna-seq
- GSE287115 Emergence of Endothelial Cell Subtypes and Role of Cell Cycle Control in Arterial-Venous Specification During Embryonic Vascular Development [bulk RNA-seq] 27 samples shares endothelial, rna-seq
- GSE310548 Distinct contributions of Etv2+ and Flk1+ progenitors to endothelial, hematopoietic, and cardiac lineages [RNA-seq] 21 samples shares endothelial, rna-seq
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.