RNA-seq in aortic smooth muscle cells from a mice lacking Arg1 expression in erytrhrocytes (RBC.ARG1-KO) and their litter mate controls (RBC.ARG1-WT) after culture in standard DMEM or foam cell medium (DIAM)
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 4 × DMEM KO vs 4 × DMEM WT vs 4 × DIA KO vs 4 × DIA WTGroups 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
- Chronic Erythrocyte NO Production Accelerates Atherosclerosis by Increasing SMC De Novo LipogenesisCirculation research · 2026
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 GSE310620_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 PRJNA1366594 and SRA study SRP647046. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM9304557 DMEM KO1 DMEM KO
- GSM9304558 DMEM WT1 DMEM WT
- GSM9304559 DMEM KO2 DMEM KO
- GSM9304560 DMEM KO3 DMEM KO
- GSM9304561 DMEM WT2 DMEM WT
- GSM9304562 DMEM KO4 DMEM KO
- GSM9304563 DMEM WT3 DMEM WT
- GSM9304564 DMEM WT4 DMEM WT
- GSM9304565 DIA KO1 DIA KO
- GSM9304566 DIA WT1 DIA WT
- GSM9304567 DIA KO2 DIA KO
- GSM9304568 DIA KO3 DIA KO
- GSM9304569 DIA WT2 DIA WT
- GSM9304570 DIA KO4 DIA KO
- GSM9304571 DIA WT3 DIA WT
- GSM9304572 DIA WT4 DIA WT
- GSE306859 Trem2 activation by renal tubular debris sustains Arg1+ macrophage survival and promotes tubular epithelial repair in renal ischemia–reperfusion injury 6 samples shares arg1
- GSE242510 Myeloid-mesenchymal crosstalk drives ARG1-dependent profibrotic metabolism via ornithine in lung fibrosis 6 samples shares arg1
- GSE326070 Interleukin-34 induced Arg1+ macrophages play a key role in breast cancer brain metastasis. 1 samples shares arg1
- GSE37533 Expression data of Pioglitazone- or vehicle-treated CD4+FoxP3- T cells transduced with Foxp3+/- Pparg1 (or Pparg2) 18 samples shares arg1
- GSE37534 Expression data of Pioglitazone-, Rosiglitazone-, GW1929- and vehicle-treated CD4+FoxP3- T cells transduced with Foxp3+Pparg1 12 samples shares arg1
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.