RNA sequencing data of dural macrophages isolated from brains of Cx3cr1-GFP mice at different ages.
Single-cell RNA-seq · mouse · 15 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
- 15 samples: 5 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
- Extrasinusoidal macrophages are a distinct subset of immunologically active dural macrophagesScience immunology · 2024
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 GSE277981_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 PRJNA1165151 and SRA study SRP534660. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8536713 CD206pos_8W_14_4 CD206pos_8W_14
- GSM8536714 CD206pos_8W_14_5 CD206pos_8W_14
- GSM8536715 CD206pos_8W_14_6 CD206pos_8W_14
- GSM8536716 CD206pos_3W_15_1 CD206pos_3W_15
- GSM8536717 CD206pos_3W_15_2 CD206pos_3W_15
- GSM8536718 CD206pos_3W_15_3 CD206pos_3W_15
- GSM8536719 CD206pos_d10_16_1 CD206pos_d10_16
- GSM8536720 CD206pos_d10_16_2 CD206pos_d10_16
- GSM8536721 CD206pos_d10_16_3 CD206pos_d10_16
- GSM8536722 CD206pos_d3_17_1 CD206pos_d3_17
- GSM8536723 CD206pos_d3_17_2 CD206pos_d3_17
- GSM8536724 CD206pos_d3_17_3 CD206pos_d3_17
- GSM8536725 CD206pos_E14.5_18_1 CD206pos_E14.5_18
- GSM8536726 CD206pos_E14.5_18_2 CD206pos_E14.5_18
- GSM8536727 CD206pos_E14.5_18_3 CD206pos_E14.5_18
- GSE331360 Bulk RNA sequencing of bone marrow-derived macrophages from WT and Ch25h-KO mice under different treatment conditions 24 samples shares macrophages, different, ages
- GSE325329 Transcriptomic profiling of macrophages that phagocytosed apoptotic Treg or conventional CD4⁺ T (Tconv) cells under different polarization conditions [RNA-Seq] 28 samples shares macrophages, different, ages
- GSE241165 Characterizing the gene expression profiles of 4T1 and 4T1.2 cells at different stages of bone metastsis using SMART-Seq2 technology 1248 samples shares different, ages
- GSE295428 Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages 229 samples shares different, ages
- 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, ages
- GSE309348 Whole transcriptome sequencing of UPEC-infected testis and epididymis (5d) following depletion of CX3CR1+ macrophages 18 samples shares macrophages, ages
- GSE239287 Single-cell transcriptome sequencing of macrophages in acute kidney injury(AKI) to chronic kidney dieases(CKD) 17 samples shares macrophages, ages
- GSE300757 Efferocytosis induces proangiogenic function and chromatin remodeling in tumor-associated macrophages 127 samples shares macrophages, ages
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.