Data Mining of IFNgamma-induced macrophage and Atherosclerotic Plaque Transcriptomes predicts a macrophage-specific role of STAT1 in human atherosclerosis [VSMC]
Single-cell RNA-seq · mouse · 18 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
- 18 samples: 6 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
- Integrative multi-omics analysis of IFNγ-induced macrophages and atherosclerotic plaques reveals macrophage-dependent STAT1-driven transcription in atherosclerosisFrontiers in immunology · 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 GSE276417_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 PRJNA1157325 and SRA study SRP530542. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM8498301 VSMC, UN, replicate 1 VSMC, UN,
- GSM8498302 VSMC, IFNy 0,5h, replicate 1 VSMC, IFNy 0,5h,
- GSM8498303 VSMC, IFNy 2h, replicate 1 VSMC, IFNy 2h,
- GSM8498304 VSMC, IFNy 4h, replicate 1 VSMC, IFNy 4h,
- GSM8498305 VSMC, IFNy 8h, replicate 1 VSMC, IFNy 8h,
- GSM8498306 VSMC, IFNy 24h, replicate 1 VSMC, IFNy 24h,
- GSM8498307 VSMC, UN, replicate 2 VSMC, UN,
- GSM8498308 VSMC, IFNy 0,5h, replicate 2 VSMC, IFNy 0,5h,
- GSM8498309 VSMC, IFNy 2h, replicate 2 VSMC, IFNy 2h,
- GSM8498310 VSMC, IFNy 4h, replicate 2 VSMC, IFNy 4h,
- GSM8498311 VSMC, IFNy 8h, replicate 2 VSMC, IFNy 8h,
- GSM8498312 VSMC, IFNy 24h, replicate 2 VSMC, IFNy 24h,
- GSM8498313 VSMC, UN, replicate 3 VSMC, UN,
- GSM8498314 VSMC, IFNy 0,5h, replicate 3 VSMC, IFNy 0,5h,
- GSM8498315 VSMC, IFNy 2h, replicate 3 VSMC, IFNy 2h,
- GSM8498316 VSMC, IFNy 4h, replicate 3 VSMC, IFNy 4h,
- GSM8498317 VSMC, IFNy 8h, replicate 3 VSMC, IFNy 8h,
- GSM8498318 VSMC, IFNy 24h, replicate 3 VSMC, IFNy 24h,
- GSE276418 Data Mining of IFNgamma-induced macrophage and Atherosclerotic Plaque Transcriptomes predicts a macrophage-specific role of STAT1 in human atherosclerosis 36 samples shares stat1, macrophage-specific, ifngamma-induced, atherosclerotic, atherosclerosis, transcriptomes, macrophage
- GSE276416 Data Mining of IFNgamma-induced macrophage and Atherosclerotic Plaque Transcriptomes predicts a macrophage-specific role of STAT1 in human atherosclerosis [BMDM] 18 samples shares stat1, macrophage-specific, ifngamma-induced, atherosclerotic, atherosclerosis, transcriptomes, macrophage
- GSE271963 Lysine-specific demethylase 6B promotes STAT1-mediated macrophages activation during atherosclerosis development 6 samples shares stat1, atherosclerosis, macrophage
- GSE309564 IFNg shapes macrophage inflammatory responses by STAT1 isoform-specific epigenetic and transcriptional mechanisms [RNA-Seq] 72 samples shares stat1, macrophage
- GSE252014 Early and Delayed STAT1-Dependent Responses Drive Local Trained Immunity of Macrophages in the Spleen 57 samples shares stat1, macrophage
- GSE252009 Early and Delayed STAT1-Dependent Responses Drive Local Trained Immunity of Macrophages in the Spleen [bulk_RNA_seq_MS4A3] 53 samples shares stat1, macrophage
- GSE294678 Dietary restriction mitigates vascular aging, modulates the cGAS-STING pathway and reverses macrophage-like VSMC phenotypes in progeroid DNA-repair-deficient Ercc1Δ/- mice 29 samples shares vsmc, macrophage
- GSE293728 IFN-γ-STAT1 Axis Drives MHC-II Antigen Presentation Potentiation in Tumor Associated Macrophages 18 samples shares stat1, macrophage
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.