Oxysterol Sensing through GPR183 Triggers Endothelial Senescence and Cardio-renal Injuries via Altering Circadian Signaling in Hypertension
RNA-seq (gene expression) · human · 18 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
- Homo sapiens (human)
- Samples
- 18 samples: 6 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.
Read the full summary ↓
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 GSE270175_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 PRJNA1125379 and SRA study SRP514628. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 6 replicated groups read from 18 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.
- GSM8336026 Sham for DOCA-Z922 Sham for DOCA-Z
- GSM8336027 Sham for DOCA-Z923 Sham for DOCA-Z
- GSM8336028 DOCA-Z922 DOCA-Z
- GSM8336029 DOCA-Z923 DOCA-Z
- GSM8336030 3M-1 3M
- GSM8336031 3M-2 3M
- GSM8336032 3M-3 3M
- GSM8336033 24M-1 24M
- GSM8336034 24M-2 24M
- GSM8336035 24M-3 24M
- GSM8336036 Young
- GSM8336037 Aged
- GSM8336038 WT-1 WT
- GSM8336039 WT-2 WT
- GSM8336040 WT-3 WT
- GSM8336041 KOGPR183-1 KOGPR183
- GSM8336042 KOGPR183-2 KOGPR183
- GSM8336043 KOGPR183-3 KOGPR183
- GSE195453 Identification of the endothelial cell microproteome. 121 samples shares endothelial
- GSE244784 Hepatic hypertension on-a-chip identifies GPR116 as a hydrostatic pressure mechanosensor to regulate vascular injury in cirrhosis 18 samples shares hypertension
- GSE312663 IL-9 in psoriasis: human endothelial cells and murine T cells 18 samples shares endothelial
- GSE300885 Endothelial PIEZO1 activation impairs osteogenesis via GREM1-mediated inhibition of BMP signaling 16 samples shares endothelial
- GSE285730 Targeting PARK7: Sodium 4-Phenylbutyrate Shields Endothelial Cells from GSDME-Mediated Pyroptosis in Acute Lung Injury 15 samples shares endothelial
- GSE309462 Endothelial BMP6 Drives Hemodynamic-Dependent VSMCs Calcification in Carotid Atherosclerosis 14 samples shares endothelial
- GSE198204 Endothelial plasticity in atrial fibrosis by integrating single-cell sequencing and genetic lineage tracing 8 samples shares endothelial
- GSE250618 Human liver sinusoidal endothelial cells support the development of functional human pluripotent stem cell-derived Kupffer cells 1 samples shares endothelial
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.