RNA-Seq of drug-treated and control 4T1 cells
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × PBS vs 3 × Oxa vs 3 × APAP vs 3 × OAP2Groups 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 GSE236067_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 PRJNA988540 and SRA study SRP446322. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM7517710 PBS_rep 1 PBS
- GSM7517711 PBS_rep 2 PBS
- GSM7517712 PBS_rep 3 PBS
- GSM7517713 Oxa_rep 1 Oxa
- GSM7517714 Oxa_rep 2 Oxa
- GSM7517715 Oxa_rep 3 Oxa
- GSM7517716 APAP_rep 1 APAP
- GSM7517717 APAP_rep 2 APAP
- GSM7517718 APAP_rep 3 APAP
- GSM7517719 OAP2_rep 1 OAP2
- GSM7517720 OAP2_rep 2 OAP2
- GSM7517721 OAP2_rep 3 OAP2
- GSE306116 Caspase-3 Control of RNA Splicing and Mitochondrial Dynamics in Microglia during Parkinson’s Disease [RNA-Seq] 12 samples shares rna-seq, control
- GSE241165 Characterizing the gene expression profiles of 4T1 and 4T1.2 cells at different stages of bone metastsis using SMART-Seq2 technology 1248 samples shares 4t1
- GSE326100 scRNA-seq of mouse cochlea organoid cells 768 samples shares rna-seq
- GSE311449 Single cell RNA-seq of mouse brain vascular cells with Smart-seq2 method 391 samples shares rna-seq
- GSE299114 Endothelial Cells retain inflammatory memory through chromatin remodeling [RNA-Seq 2] 53 samples shares rna-seq
- GSE319614 Bulk RNA-seq transcriptome profiling of hippocampus across 17 autism spectrum disorder mouse models 269 samples shares rna-seq
- GSE325329 Transcriptomic profiling of macrophages that phagocytosed apoptotic Treg or conventional CD4⁺ T (Tconv) cells under different polarization conditions [RNA-Seq] 28 samples shares rna-seq
- GSE326452 Bulk RNA-seq of mouse brain following closed head injury: role of IL-1R1 signaling 200 samples shares 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.