CCL8-mediated recruitment of cytotoxic lymphocytes by P16-positive cells promotes adverse post-ischemic cardiac remodeling
Single-cell RNA-seq · mouse · 12 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × P16loPDGFRahi, vs 3 × P16hiPDGFRahi, vs 3 × P16loF480hi, vs 3 × P16hiF480hi,Groups 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.
Read the full summary ↓
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 GSE305646_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 PRJNA1307404 and SRA study SRP609696. 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.
- GSM9181341 P16loPDGFRahi, replicate1 P16loPDGFRahi,
- GSM9181342 P16loPDGFRahi, replicate2 P16loPDGFRahi,
- GSM9181343 P16loPDGFRahi, replicate3 P16loPDGFRahi,
- GSM9181344 P16hiPDGFRahi, replicate1 P16hiPDGFRahi,
- GSM9181345 P16hiPDGFRahi, replicate2 P16hiPDGFRahi,
- GSM9181346 P16hiPDGFRahi, replicate3 P16hiPDGFRahi,
- GSM9181347 P16loF480hi, replicate1 P16loF480hi,
- GSM9181348 P16loF480hi, replicate2 P16loF480hi,
- GSM9181349 P16loF480hi, replicate3 P16loF480hi,
- GSM9181350 P16hiF480hi, replicate1 P16hiF480hi,
- GSM9181351 P16hiF480hi, replicate2 P16hiF480hi,
- GSM9181352 P16hiF480hi, replicate3 P16hiF480hi,
- GSE326350 Circ_0005406 Promotes Ovarian Cancer Progression through IL-33-Dependent Recruitment of Tumor-Associated Macrophages 6 samples shares recruitment, promotes
- GSE246144 Git2 deficiency promotes MDSCs recruitment in intestine and ameliorates necrotizing enterocolitis. 6 samples shares recruitment, promotes
- GSE275920 Neurogenic Monocyte Recruitment Drives Pathogenic Enteric Nervous System Remodeling in IBD 4 samples shares recruitment, remodeling
- GSE261715 Single cell tracing of Pomc neurons reveals recruitment of ‘Ghost’ subtypes with atypical identity in a mouse model of obesity 76 samples shares recruitment
- GSE297833 ChAHP Silences SINE Retrotransposons by Inhibiting TFIIIB Recruitment [RNA-seq] 54 samples shares recruitment
- GSE264602 Recruitment to the nuclear periphery enhances repression of H3K9me2-marked genes and transposons to shape cell fate [RNAseq_shLBR] 43 samples shares recruitment
- GSE275384 Lupus-prone NZM2328 mice exhibit enhanced UV-induced myeloid cell recruitment and activation in a type I interferon dependent manner 43 samples shares recruitment
- GSE264599 Recruitment to the nuclear periphery enhances repression of H3K9me2-marked genes and transposons to shape cell fate [RNAseq_epilc] 40 samples shares recruitment
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.