Hepatic hypertension on-a-chip identifies GPR116 as a hydrostatic pressure mechanosensor to regulate vascular injury in cirrhosis
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: 14 distinct titles, 2 of them repeatedGroups 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
- Hepatic hypertension on-a-chip identifies GPR116 as a hydrostatic pressure mechanosensor to regulate vascular injury in cirrhosisScience advances · 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 GSE244784_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 PRJNA1024883 and SRA study SRP464791. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 18 sample titles: 14 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.
- GSM7823016 WT1
- GSM7823017 WT2
- GSM7823018 WT3
- GSM7823019 KO1
- GSM7823020 KO2
- GSM7823021 KO3
- GSM7824750 LSEC_shControl_NP
- GSM7824751 LSEC_shControl_HP
- GSM7824752 LSEC_shGPR116_NP
- GSM7824753 LSEC_shGPR116_HP
- GSM7824754 pLSEC, NC
- GSM7824755 pLSEC,4W
- GSM7824756 pLSEC, 12W
- GSM7824757 pLSEC,Soft+LP
- GSM7824758 pLSEC,Stiff+HP
- GSM7824759 LSECs_NC
- GSM7824760 LSECs_4H
- GSM7824761 LSECs_24H
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.