Obesity-driven inflammation enables triple-negative breast cancer progression through immunosuppression [scRNA-Seq]
Single-cell RNA-seq · mouse · 16 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 16 samples: 4 × DIOSul vs 4 × ConSul vs 4 × DIO vs 4 × ConGroups 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 nonsteroidal anti-inflammatory drug sulindac reverses obesity-driven immunosuppression and triple-negative breast cancer progressionBreast cancer research : BCR · 2025
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 GSE294999_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1252424 and SRA study SRP579625. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8939851 DIOSul1 DIOSul
- GSM8939852 ConSul1 ConSul
- GSM8939853 ConSul2 ConSul
- GSM8939854 DIOSul2 DIOSul
- GSM8939855 DIO1 DIO
- GSM8939856 Con1 Con
- GSM8939857 Con2 Con
- GSM8939858 DIOSul3 DIOSul
- GSM8939859 ConSul3 ConSul
- GSM8939860 DIOSul4 DIOSul
- GSM8939861 ConSul4 ConSul
- GSM8939862 DIO2 DIO
- GSM8939863 Con3 Con
- GSM8939864 Con4 Con
- GSM8939865 DIO3 DIO
- GSM8939866 DIO4 DIO
- GSE311488 Chemotherapeutic Induction of Single-Stranded DNA Accumulation Sensitizes Triple-Negative Breast Cancer to Immunotherapy [scRNA-seq] 32 samples shares triple-negative, scrna-seq, breast
- GSE341921 PGK1 moonlights as an NF-kB/p65 kinase to orchestrate M2-like macrophage-mediated immunosuppression in triple-negative breast cancer 6 samples shares immunosuppression, triple-negative, breast
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares progression, scrna-seq
- GSE261778 Iron oxide nanoparticles inhibit tumor progression and suppress lung metastases in mouse models of breast cancer [RNA-seq] 49 samples shares progression, breast
- GSE263963 The temporal progression of lung immune remodeling during breast cancer metastasis 38 samples shares progression, breast
- GSE273940 Low Molecular Weight Cyclin E Confers a Vulnerability to PKMYT1 Inhibition in Triple-Negative Breast Cancer 33 samples shares triple-negative, breast
- GSE317281 Integrated bulk and single-cell transcriptome analysis reveals the impact of cyclophosphamide on tumor microenvironment in triple-negative breast cancer models 14 samples shares triple-negative, breast
- GSE263255 FXR Agonism with Bile Acid Mimetic Reduces Pre-Clinical Triple-Negative Breast Cancer Burden 13 samples shares triple-negative, breast
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.