Macrophage-derived Chemokine (C-C motif) ligand 24 (CCL24) promotes cardiac fibrosis
Single-cell RNA-seq · mouse · 14 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
- 14 samples: 14 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.
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 GSE300219_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 PRJNA1279855 and SRA study SRP593285. 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 14 sample titles: 14 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.
- GSM9055924 KS1_S1
- GSM9055925 KS2_S2
- GSM9055926 KT1_S3
- GSM9055927 KT2_S4
- GSM9055928 KT4_S5
- GSM9055929 KT5_S6
- GSM9055930 WS1_S9
- GSM9055931 WS2_S10
- GSM9055932 WT1_S11
- GSM9055933 WT2_S12
- GSM9055934 WT3_S13
- GSM9055935 WT4_S14
- GSM9055936 WT6_S15
- GSM9055937 WT7_S16
- GSE266241 Reduction of inhibitory signaling and selective induction of C-C motif chemokine ligands after spinal cord ischemia 29 samples shares c-c, chemokine, ligand
- GSE288084 Chemokine (C-C motif) Ligand 2 Expressing Adventitial Fibroblast Expansion During Loeys-Dietz Syndrome Aortic Aneurysm Formation [8wk mouse] 2 samples shares c-c, chemokine, ligand
- GSE307260 Effect of depletion of vacuolar protein sorting 13 homolog c (Vps13c) in heart tissue from ventricles of wild-type (WT) and cardiac-specific knockout (Vps13c-cKO) mice. 12 samples shares c-c, cardiac
- GSE287230 An atypical atherogenic chemokine that promotes advanced athero¬sclerosis and hepatic lipogenesis 28 samples shares chemokine, promotes
- GSE216480 Cell fusion between tumor cells and macrophages promotes the metastasis of OSCC patient through the activation of the chemokine signaling pathway 9 samples shares chemokine, promotes
- GSE281285 An atypical atherogenic chemokine that promotes advanced atherosclerosis and hepatic lipogenesis 9 samples shares chemokine, promotes
- GSE198735 Cardiac resident macrophage-derived legumain improves cardiac repair via promoting clearance and degradation of apoptotic cardiomyocytes after myocardial infarction 6 samples shares macrophage-derived, cardiac
- GSE235638 Chemokine Ligand 2 Expressing Fibroblast Recruitment of Macrophages Enhanced in Loeys-Dietz Syndrome Aortic Root Aneurysm Formation [24wk mouse] 4 samples shares chemokine, ligand
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.