Retrospective meningiomas RNA-sequencing data.
RNA-seq (gene expression) · human · 384 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
- 384 samples: 5 conditions, mostly with about 255 replicates eachGroups 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.
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 GSE270638_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 PRJNA1127224 and SRA study SRP515459. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 384 samples.
How we read this: 5 replicated groups read from 384 sample titles; they account for 384 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.
- GSM8348767 I55 I
- GSM8348768 I60 I
- GSM8348769 I45 I
- GSM8348770 I56 I
- GSM8348771 I62 I
- GSM8348772 I63 I
- GSM8348773 I41 I
- GSM8348774 I44 I
- GSM8348775 I48 I
- GSM8348776 I50 I
- GSM8348777 I51 I
- GSM8348778 I52 I
- GSM8348779 UHN43 UHN
- GSM8348780 UHN15 UHN
- GSM8348781 UHN48 UHN
- GSM8348782 FH136 FH
- GSM8348783 UHN57 UHN
- GSM8348784 FH42 FH
- GSM8348785 UHN27 UHN
- GSM8348786 UHN36 UHN
- GSM8348787 FH75 FH
- GSM8348788 UHN63 UHN
- GSM8348789 FH78 FH
- GSM8348790 UHN78 UHN
- GSM8348791 FH83 FH
- GSM8348792 FH89 FH
- GSM8348793 UHN154 UHN
- GSM8348794 UHN64 UHN
- GSM8348795 UHN95 UHN
- GSM8348796 FH96 FH
- GSM8348797 UHN105 UHN
- GSM8348798 UHN152 UHN
- GSM8348799 UHN122 UHN
- GSM8348800 UHN18 UHN
- GSM8348801 UHN1 UHN
- GSM8348802 UHN138 UHN
- GSM8348803 UHN139 UHN
- GSM8348804 UHN80 UHN
- GSM8348805 UHN140 UHN
- GSM8348806 UHN145 UHN
+ 344 more — browse all 384 samples with per-sample file links →
- GSE240656 Multi-center Korean cohort study based on RNA-sequencing data targeting COPD patients 294 samples shares rna-sequencing
- GSE296826 Raw RNA-sequencing data for deriving BCR sequences from the NIH U01 project: Finding the optimal balance of immunotherapy efficacy and toxicity. 256 samples shares rna-sequencing
- GSE264680 Leveraging Single-Cell Sequencing to Classify and Characterize Tumor Subgroups in Bulk RNA-Sequencing Data 167 samples shares rna-sequencing
- GSE150910 RNA-Sequencing of Chronic hypersensitivity pneumonitis compared with Idiopathic Pulmonary Fibrosis and Control Lung 288 samples shares rna-sequencing
- GSE303762 Benchmarking long-read RNA-sequencing technologies with LongBench: a cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approaches 38 samples shares rna-sequencing
- GSE184487 RNA-sequencing of PBMC cultured with PolyI:C or LPS, from a pediatric cohort who received OM85 or placebo. 193 samples shares rna-sequencing
- GSE293805 Single nucleus RNA-sequencing atlas of pediatric solid tumors 182 samples shares rna-sequencing
- GSE204704 Live single-cell RNA-sequencing data from ALS donors only. 21 samples shares rna-sequencing
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.