Bulk RNA-seq of EO771 breast cancer cells with 3 conditions
RNA-seq (gene expression) · mouse · 9 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
- Mus musculus (mouse)
- Samples
- 9 samples: 3 × EO771_mono vs 3 × EO771_CM vs 3 × EO771_coGroups 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 GSE335950_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 PRJNA1479994 and SRA study SRP710920. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.
- GSM9824130 EO771_mono1 EO771_mono
- GSM9824131 EO771_mono2 EO771_mono
- GSM9824132 EO771_mono3 EO771_mono
- GSM9824133 EO771_CM1 EO771_CM
- GSM9824134 EO771_CM2 EO771_CM
- GSM9824135 EO771_CM3 EO771_CM
- GSM9824136 EO771_co1 EO771_co
- GSM9824137 EO771_co2 EO771_co
- GSM9824138 EO771_co3 EO771_co
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- GSE326452 Bulk RNA-seq of mouse brain following closed head injury: role of IL-1R1 signaling 200 samples shares rna-seq, bulk
- GSE228960 Bulk RNA-Seq from kidneys of uninephrectomized db/db mice as a model of severe diabetic kidney disease 28 samples shares rna-seq, bulk
- GSE331360 Bulk RNA sequencing of bone marrow-derived macrophages from WT and Ch25h-KO mice under different treatment conditions 24 samples shares conditions, bulk
- GSE271662 RNA-seq of Mouse Spinal Cord after Lateral Compression Spinal Cord Injury followed by Delayed Atorvastatin or Vehicle Treatment [Bulk RNA-seq of mice spinal cords] 16 samples shares rna-seq, bulk
- GSE292377 Step-wise signal integration governs adaptive programming of lymphocytes [bulkRNA-seq and ATAC-seq] 41 samples shares rna-seq, bulk
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.