Splenic CD169+Tim4+ Marginal Zone Metallophilic Macrophages Are Essential for Wound Healing and Resolution of Inflammation After Myocardial Infarction
RNA-seq (gene expression) · mouse · 24 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 24 samples: 8 conditions, mostly in triplicateGroups 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
- Splenic CD169(+)Tim4(+) Marginal Metallophilic Macrophages Are Essential for Wound Healing After Myocardial InfarctionCirculation · 2025
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 GSE210798_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA867567 and SRA study SRP390675. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.
- GSM6437737 Naive_heart_LYVE1high_rep1 Naive_heart_LYVE1high
- GSM6437738 Naive_heart_LYVE1high_rep2 Naive_heart_LYVE1high
- GSM6437739 Naive_heart_LYVE1high_rep3 Naive_heart_LYVE1high
- GSM6437740 Naive_heart_LYVE1low_rep1 Naive_heart_LYVE1low
- GSM6437741 Naive_heart_LYVE1low_rep2 Naive_heart_LYVE1low
- GSM6437742 Naive_heart_LYVE1low_rep3 Naive_heart_LYVE1low
- GSM6437743 1d_MI_heart_LYVE1high_rep1 1d_MI_heart_LYVE1high
- GSM6437744 1d_MI_heart_LYVE1high_rep2 1d_MI_heart_LYVE1high
- GSM6437745 1d_MI_heart_LYVE1high_rep3 1d_MI_heart_LYVE1high
- GSM6437746 1d_MI_heart_LYVE1low_rep1 1d_MI_heart_LYVE1low
- GSM6437747 1d_MI_heart_LYVE1low_rep2 1d_MI_heart_LYVE1low
- GSM6437748 1d_MI_heart_LYVE1low_rep3 1d_MI_heart_LYVE1low
- GSM6437749 Naive_spleen_LYVE1high_rep1 Naive_spleen_LYVE1high
- GSM6437750 Naive_spleen_LYVE1high_rep2 Naive_spleen_LYVE1high
- GSM6437751 Naive_spleen_LYVE1high_rep3 Naive_spleen_LYVE1high
- GSM6437752 Naive_spleen_LYVE1low_rep1 Naive_spleen_LYVE1low
- GSM6437753 Naive_spleen_LYVE1low_rep2 Naive_spleen_LYVE1low
- GSM6437754 Naive_spleen_LYVE1low_rep3 Naive_spleen_LYVE1low
- GSM6437755 1d_MI_spleen_LYVE1high_rep1 1d_MI_spleen_LYVE1high
- GSM6437756 1d_MI_spleen_LYVE1high_rep2 1d_MI_spleen_LYVE1high
- GSM6437757 1d_MI_spleen_LYVE1high_rep3 1d_MI_spleen_LYVE1high
- GSM6437758 1d_MI_spleen_LYVE1low_rep1 1d_MI_spleen_LYVE1low
- GSM6437759 1d_MI_spleen_LYVE1low_rep2 1d_MI_spleen_LYVE1low
- GSM6437760 1d_MI_spleen_LYVE1low_rep3 1d_MI_spleen_LYVE1low
- GSE282257 Mitochondria complex III-generated superoxide is essential for IL-10 secretion in macrophages 40 samples shares macrophages, essential
- GSE284404 Increased cardiac macrophages in Sorbs2-deficient hearts: revealing a potential role for macrophage in responding to embryonic myocardial abnormalities 35 samples shares macrophages, myocardial
- GSE263545 Resident and recruited macrophages differentially contribute to cardiac healing after myocardial ischemia [scRNA-seq] 10 samples shares macrophages, myocardial
- GSE263892 Single-cell analysis reveals Mycobacterium tuberculosis ESX-1-mediated accumulation of permissive macrophages in infected mouse lungs 6078 samples shares macrophages
- GSE272755 Transcriptional effects of lysosome stress on mouse bone marrow-derived macrophages and primary microglia 263 samples shares macrophages
- GSE319684 Timecourse of FACS sorted Ly6C+ monocytes, tissue resident alveolar macrophages (trAMs), monocyte derived alveolar macrophages (bmAMs) and epithelial cells from SARS-CoV-2 (maVie16) vs. IAV (PR8) infected mouse lungs 176 samples shares macrophages
- GSE300757 Efferocytosis induces proangiogenic function and chromatin remodeling in tumor-associated macrophages 127 samples shares macrophages
- GSE319035 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease [NAFLD_time_course] 77 samples shares macrophages
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.