Single-cell transcriptomic profiling unveils tumor-mediated reprogramming of neutrophils and their unique vulnerability that inhibits metastasis
Single-cell RNA-seq · mouse · 25 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
- 25 samples: 8 conditions, mostly in duplicateGroups 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 GSE327176_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 PRJNA1449819 and SRA study SRP689778. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 2 samples read as cases, 7 as controls.
How we read this: 8 replicated groups read from 25 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.
- GSM9650543 Wildtype_BM_Rep1 Wildtype_BM
- GSM9650544 MMTV_BM_Pymt_Rep1
- GSM9650545 Wildtype_BM_Rep2 Wildtype_BM
- GSM9650546 MMTV_Pymt_BM_Rep2
- GSM9650547 NT_BM_Rep1 NT_BM
- GSM9650548 GCSF_BM_Rep1 GCSF_BM
- GSM9650549 eo771_BM_ortho_Rep1
- GSM9650550 uninjected_BM_Rep1
- GSM9650551 NT_BM_Rep2 NT_BM
- GSM9650552 GCSF_BM_Rep2 GCSF_BM
- GSM9650553 MMTV_Pymt_iso_BM_Rep1
- GSM9650554 MMTV_Pymt_anti_GCSF_BM_Rep1
- GSM9650555 Wildtype_Blood_Rep1 Wildtype_Blood
- GSM9650556 MMTV_Pymt_Blood_Rep1 MMTV_Pymt_Blood
- GSM9650557 Wildtype_Lung_Rep2 Wildtype_Lung
- GSM9650558 MMTV_Pymt_Lung_Rep2 MMTV_Pymt_Lung
- GSM9650559 MMTV_Pymt_Pri_Tumor_Rep1 MMTV_Pymt_Pri_Tumor
- GSM9650560 Wildtype_Blood_Rep2 Wildtype_Blood
- GSM9650561 MMTV_Pymt_Blood_Rep2 MMTV_Pymt_Blood
- GSM9650562 Wildtype_Lung_Rep3 Wildtype_Lung
- GSM9650563 MMTV_Pymt_Lung_Mets_Rep3
- GSM9650564 MMTV_Pymt_Lung_Rep3 MMTV_Pymt_Lung
- GSM9650565 MMTV_Pymt_Pri_Tumor_Rep2 MMTV_Pymt_Pri_Tumor
- GSM9650566 Wildtype_Spleen_Rep1
- GSM9650567 MMTV_Pymt_Spleen_Rep1
- GSE276682 Single-cell transcriptome analysis revealed cellular reprogramming following Tetramethylpyrazine treatment in LPS-induced acute lung injury 12 samples shares reprogramming, single-cell
- GSE333887 Matched single-cell chromatin, transcriptome, and surface marker profiling captures in vivo epigenomic reprogramming during basal-to-luminal transition in the mammary gland [transplantations_OneCell_multiome] 14 samples shares reprogramming, single-cell
- GSE192687 Single-cell RNAseq analysis of renal endothelial cells in murine diabetic nephropathy 5464 samples shares single-cell
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares single-cell
- GSE239602 Single-cell and spatial transcriptomics uncovers the role of senescent vascular cells in pathological arterial remodeling during murine atherosclerosis 82 samples shares single-cell
- GSE278990 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity 73 samples shares single-cell
- GSE254396 Single-cell and bulk RNA sequencing of mouse atherosclerosis disease stage course [TRAP-seq] 71 samples shares single-cell
- GSE309471 Single-cell RNA sequencing of lung cells from bleomycin-induced and doxycycline-inducible TGF-β transgenic mouse models of pulmonary fibrosis 46 samples shares single-cell
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.