Transcriptome regulation by miR-210 in hypoxic glomerular endothelium [RNA-seq]
RNA-seq (gene expression) · human · 12 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
- 12 samples: 12 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.
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 GSE326398_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 PRJNA1445184 and SRA study SRP687772. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 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.
- GSM9630416 Human glomerular endothelial cell, Donor 1, Untreated,RNA
- GSM9630418 Human glomerular endothelial cell, Donor 1, 4hr hypoxia,RNA
- GSM9630419 Human glomerular endothelial cell, Donor 1, 12hr hypoxia,RNA
- GSM9630420 Human glomerular endothelial cell, Donor 1, 24hr hypoxia,RNA
- GSM9630421 Human glomerular endothelial cell, Donor 2, Untreated,RNA
- GSM9630422 Human glomerular endothelial cell, Donor 2, 4hr hypoxia,RNA
- GSM9630423 Human glomerular endothelial cell, Donor 2, 12hr hypoxia,RNA
- GSM9630424 Human glomerular endothelial cell, Donor 2, 24hr hypoxia,RNA
- GSM9630425 Human glomerular endothelial cell, Donor 3, Untreated,RNA
- GSM9630426 Human glomerular endothelial cell, Donor 3, 4hr hypoxia,RNA
- GSM9630427 Human glomerular endothelial cell, Donor 3, 12hr hypoxia,RNA
- GSM9630428 Human glomerular endothelial cell, Donor 3, 24hr hypoxia, RNA
- GSE243063 RNA-seq analysis of miR-210 KO 293T cells 20 samples shares mir-210, rna-seq
- GSE296191 Hypoxic regulation of chromatin and gene transcription [RNA-seq] 14 samples shares hypoxic, rna-seq
- GSE263349 RNA-seq analysis of human CD8 CAR-EGFR T cells in expansion and repeated hypoxic coculture 24 samples shares hypoxic, rna-seq
- GSE271456 Locus-specific and genome-wide analysis of adaptations to hypoxia in iPSC-derived endothelium from a population adapted to high altitude [RNA-Seq] 20 samples shares endothelium, rna-seq
- GSE319374 RNA-seq profiling of post-hypoxic head and neck cancer cell lines 18 samples shares hypoxic, rna-seq
- GSE324929 RNA-seq analysis of FDX2-inducible knockout (FDX2-iKO) ES2 ovarian carcinoma cells under normoxic and hypoxic conditions 12 samples shares hypoxic, rna-seq
- GSE309912 Bulk RNA-seq Toxic Lipid-induced Epigenetic Activation of ICAM1 in Liver Sinusoidal Endothelium Regulates Myeloid-Driven Fibro-inflammatory Response in MASH 12 samples shares endothelium, rna-seq
- GSE263916 Hypoxic stabilization of RIPOR3 mRNA via METTL3-mediated m6A RNA methylation drives breast tumor growth and metastasis [RNA-seq] 12 samples shares hypoxic, 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.