Gene expression profile at single cell level of tumor-infiltrating neutrophils (TINs) of cholangiocarcinoma (CCA) tumors
Single-cell RNA-seq · mouse · 52 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
- 52 samples: 52 samples, each with a distinct title — no replicated groupsGroups 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
- Antitumor Activity of Tumor-Infiltrating Neutrophils Revealed by a Syngeneic Mouse Model of CholangiocarcinomaCancer science · 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 GSE280057_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 PRJNA1176042 and SRA study SRP540175. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 52 sample titles: 52 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.
- GSM8586646 Control TINs, replicate 1, plate 01, scRNAseq
- GSM8586647 Control TINs, replicate 1, plate 02, scRNAseq
- GSM8586648 Control TINs, replicate 1, plate 03, scRNAseq
- GSM8586649 Control TINs, replicate 1, plate 04, scRNAseq
- GSM8586650 Control TINs, replicate 1, plate 05, scRNAseq
- GSM8586651 Control TINs, replicate 1, plate 06, scRNAseq
- GSM8586652 Control TINs, replicate 1, plate 07, scRNAseq
- GSM8586653 Control TINs, replicate 1, plate 08, scRNAseq
- GSM8586654 Control TINs, replicate 1, plate 09, scRNAseq
- GSM8586655 Control TINs, replicate 1, plate 10, scRNAseq
- GSM8586656 Control TINs, replicate 1, plate 11, scRNAseq
- GSM8586657 Control TINs, replicate 1, plate 12, scRNAseq
- GSM8586658 Control TINs, replicate 1, plate 13, scRNAseq
- GSM8586659 Control TINs, replicate 1, plate 14, scRNAseq
- GSM8586660 Control TINs, replicate 2, plate 01, scRNAseq
- GSM8586661 Control TINs, replicate 2, plate 02, scRNAseq
- GSM8586662 Control TINs, replicate 2, plate 03, scRNAseq
- GSM8586663 Control TINs, replicate 2, plate 04, scRNAseq
- GSM8586664 Control TINs, replicate 2, plate 05, scRNAseq
- GSM8586665 Control TINs, replicate 2, plate 06, scRNAseq
- GSM8586666 Control TINs, replicate 2, plate 07, scRNAseq
- GSM8586667 Control TINs, replicate 2, plate 08, scRNAseq
- GSM8586668 Control TINs, replicate 2, plate 09, scRNAseq
- GSM8586669 Control TINs, replicate 2, plate 10, scRNAseq
- GSM8586670 Control TINs, replicate 2, plate 11, scRNAseq
- GSM8586671 Control TINs, replicate 2, plate 12, scRNAseq
- GSM8586672 G-CSF TINs, replicate 1, plate 01, scRNAseq
- GSM8586673 G-CSF TINs, replicate 1, plate 02, scRNAseq
- GSM8586674 G-CSF TINs, replicate 1, plate 03, scRNAseq
- GSM8586675 G-CSF TINs, replicate 1, plate 04, scRNAseq
- GSM8586676 G-CSF TINs, replicate 1, plate 05, scRNAseq
- GSM8586677 G-CSF TINs, replicate 1, plate 06, scRNAseq
- GSM8586678 G-CSF TINs, replicate 1, plate 07, scRNAseq
- GSM8586679 G-CSF TINs, replicate 1, plate 08, scRNAseq
- GSM8586680 G-CSF TINs, replicate 1, plate 09, scRNAseq
- GSM8586681 G-CSF TINs, replicate 1, plate 10, scRNAseq
- GSM8586682 G-CSF TINs, replicate 1, plate 11, scRNAseq
- GSM8586683 G-CSF TINs, replicate 1, plate 12, scRNAseq
- GSM8586684 G-CSF TINs, replicate 1, plate 13, scRNAseq
- GSM8586685 G-CSF TINs, replicate 2, plate 01, scRNAseq
+ 12 more — browse all 52 samples with per-sample file links →
- GSE214616 Hepatocyte CCAAT/enhancer-binding protein alpha restricts liver fibrosis by inhibiting secreted phosphoprotein 1 expression 42 samples shares cca
- GSE212646 Hepatocyte CCAAT/enhancer-binding protein alpha restricts liver fibrosis by inhibiting secreted phosphoprotein 1 expression (I) 30 samples shares cca
- GSE240884 The gene expression profiling of 3'2'-cCAMP signaling and 2'3'-cGAMP signaling in the BMDMs of WT and STING deficienc mice 24 samples shares cca
- GSE279171 CCAAT/enhancer-binding proteins alpha and beta directly regulate ovulation and selectively regulate gene expression in granulosa cells by preovulatory stage- and dose-dependent mechanisms 18 samples shares cca
- GSE214615 Hepatocyte CCAAT/enhancer-binding protein alpha restricts liver fibrosis by inhibiting secreted phosphoprotein 1 expression (II) 12 samples shares cca
- GSE181259 Idelalisib and pneumococcal infection induce distinct transcriptional responses in mouse precision-cut lung slices 40 samples shares cca
- GSE174676 Metabolic rewiring tunes dermal macrophages in staphylococcal skin infection 36 samples shares cca
- GSE174674 Metabolic rewiring tunes dermal macrophages in staphylococcal skin infection [RNA-seq dataset 1] 24 samples shares cca
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.