Differential expression gene signature
RNA-seq (gene expression) · mouse · 56 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
- 56 samples: 50 distinct titles, 5 of them repeatedGroups 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
- The glutathione S-transferase Gstt1 drives survival and dissemination in metastasesNature cell biology · 2024
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 GSE232199_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 PRJNA971197 and SRA study SRP436881. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 56 sample titles: 50 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.
- GSM7317697 BCPrimaryGFP _1
- GSM7317698 BCPrimaryGFP _5
- GSM7317699 BCLungMetGFP _6
- GSM7317700 BCLungMetGFP _4
- GSM7317701 PDACPrimaryYFP _1
- GSM7317702 PDACPrimaryYFP _5
- GSM7317703 PDACLungMetYFP _1
- GSM7317704 PDACLiverMetYFP _1
- GSM7317705 PDACLiverMetYFP _5
- GSM7317706 CF6-primary
- GSM7317707 CF6-2 lung met
- GSM7317708 CF6-3 liver met
- GSM7317709 CF13-primary
- GSM7317710 CF13-3 lung met
- GSM7317711 CF13-2 liver met
- GSM7317712 CF15-primary
- GSM7317713 CF15-2 liver met
- GSM7317714 CF15-3 lung met
- GSM7317715 CF16-primary
- GSM7317716 CF16-2 liver met
- GSM7317717 CF16-3 lung met
- GSM7317718 4T1-primary
- GSM7317719 4T1-1 lung met
- GSM7317720 4T2-primary
- GSM7317721 4T2-1 lung met
- GSM7317722 4T3-primary
- GSM7317723 4T3-1 lung met
- GSM7317724 4T4-primary
- GSM7317725 4T4-1 lung met
- GSM7317726 5A_mCherryLow1
- GSM7317727 5E_mCherryLow5
- GSM7317728 5F_mCherryLow6
- GSM7317729 6A_mCherryHigh1
- GSM7317730 6E_mCherryHigh5
- GSM7317731 6F_mCherryHigh6
- GSM7317732 DTC1
- GSM7317733 DTC2
- GSM7317734 DTC3
- GSM7317735 1E 42-3 Lung Met NT Control
- GSM7317736 3F 6-2 Lung Met NT Control
+ 16 more — browse all 56 samples with per-sample file links →
- GSE318815 Differential sex-dependent responses of circulating steroid hormones and cortical gene expression in a preclinical traumatic brain injury model 88 samples shares differential
- GSE313717 Gene expression signature of liver of mice with and without functional NNT 40 samples shares signature
- GSE256132 Differential effects of p95HER2 and FL-HER2 on gene expression in PB2 mouse breast tumor xenografts at early and late stages. 39 samples shares differential
- GSE133897 Transcriptomic and proteomic multi-model global gene expression analysis reveals regulatory signatures during ischemia stroke (photothrombotic cerebral ischemia stroke) 18 samples shares signature
- GSE300534 Brain Mecp2 Genetic Dosage and Gene Therapy Shape Multi-omics Signatures and Biomarkers in Rett Syndrome [1] 137 samples shares signature
- GSE300536 Brain Mecp2 Genetic Dosage and Gene Therapy Shape Multi-omics Signatures and Biomarkers in Rett Syndrome [2] 137 samples shares signature
- GSE140693 Differential gene expression in male mouse macrophages from BAL 16 samples shares differential
- GSE255212 Transcriptomic Signatures of WNT-Driven Pathways and Granulosa Cell-Oocyte Interaction during Primordial Follicle Activation 762 samples shares signature
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.