Low- and high-grade glioma-associated vascular cells differentially regulate tumor growth [project3]
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.
- Paper
- Low- and High-Grade Glioma-Associated Vascular Cells Differentially Regulate Tumor GrowthMolecular cancer research : MCR · 2024
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 GSE236570_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 PRJNA991583 and SRA study SRP447556. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 3 samples read as cases, 6 as controls.
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.
- GSM7554466 IDH-wildtype Control replicate 1 [408_CTL1]
- GSM7554467 IDH-wildtype Control replicate 2 [408_CTL2]
- GSM7554469 IDH-wildtype Control replicate 3 [408_CTL3]
- GSM7554471 IDH-wildtype Recombinant ASPN replicate 1 [408_ASPN1]
- GSM7554473 IDH-wildtype Recombinant ASPN replicate 2 [408_ASPN2]
- GSM7554474 IDH-wildtype Recombinant ASPN replicate 3 [408_ASPN3]
- GSM7554476 IDH-mutant Control replicate 1 [252_CTL1]
- GSM7554477 IDH-mutant Control replicate 2 [252_CTL2]
- GSM7554478 IDH-mutant Control replicate 3 [252_CTL3]
- GSM7554480 IDH-mutant Recombinant ASPN replicate 1 [252_ASPN1]
- GSM7554481 IDH-mutant Recombinant ASPN replicate 2 [252_ASPN2]
- GSM7554483 IDH-mutant Recombinant ASPN replicate 3 [252_ASPN3]
- GSE236568 Low- and high-grade glioma-associated vascular cells differentially regulate tumor growth [project1] 15 samples shares glioma-associated, differentially, high-grade, vascular, regulate, growth
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- GSE240377 Distinct functions of wild-type and mutant Δ133p53α R273H differentially regulate glioblastoma aggressiveness and therapy-induced senescence 72 samples shares differentially, regulate
- GSE284057 5’ HOXD genes differentially regulate gene expression of Synovial Fibroblasts in hand joints 12 samples shares differentially, regulate
- GSE224243 Culture conditions differentially regulate the inflammatory niche and cellular phenotype of tracheobronchial basal stem cells 12 samples shares differentially, regulate
- GSE289230 GATA3 Differentially Regulates the Transcriptome via Its Zinc Finger 2-Modulated Phase Separation 12 samples shares differentially, regulate
- GSE248622 Identification of differentially expressed tumour-related genes regulated by UHRF1 regulated DNA methylation 12 samples shares differentially, regulate
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.