RNA-seq analysis of arterial smooth muscle cells (ASMCs) isolated from the lung, heart, aorta, stomach, intestine, kidney and bladder
RNA-seq (gene expression) · mouse · 22 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
- 22 samples: 7 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
- Cell Type-Specific Targeting of Different Smooth Muscle Cell Populations by Intersectional GeneticsCirculation · 2026
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 GSE301477_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 PRJNA1285306 and SRA study SRP597294. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 22 samples.
How we read this: 7 replicated groups read from 22 sample titles; they account for 22 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.
- GSM9083829 Aorta_1 Aorta
- GSM9083830 Aorta_2 Aorta
- GSM9083831 Aorta_3 Aorta
- GSM9083832 Bladder_1 Bladde
- GSM9083833 Bladder_2 Bladde
- GSM9083834 Bladder_3 Bladde
- GSM9083835 Kidney_1 Kidney
- GSM9083836 Kidney_2 Kidney
- GSM9083837 Kidney_3 Kidney
- GSM9083838 Lung_1 Lung
- GSM9083839 Lung_2 Lung
- GSM9083840 Lung_3 Lung
- GSM9083841 Stomach_1 Stomach
- GSM9083842 Stomach_2 Stomach
- GSM9083843 Stomach_3 Stomach
- GSM9083844 Heart_1 Heart
- GSM9083845 Heart_2 Heart
- GSM9083846 Heart_3 Heart
- GSM9083847 Intestine_1 Intestine
- GSM9083848 Intestine_2 Intestine
- GSM9083849 Intestine_3 Intestine
- GSM9083850 Intestine_4 Intestine
- GSE297388 Spatial transcriptomics and scRNA-sequencing on gastrocnemius muscle form B6-mdx and D2-mdx mice 8 samples shares rna-seq, muscle
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares rna-seq
- GSE326100 scRNA-seq of mouse cochlea organoid cells 768 samples shares rna-seq
- GSE311449 Single cell RNA-seq of mouse brain vascular cells with Smart-seq2 method 391 samples shares rna-seq
- GSE319614 Bulk RNA-seq transcriptome profiling of hippocampus across 17 autism spectrum disorder mouse models 269 samples shares rna-seq
- GSE326452 Bulk RNA-seq of mouse brain following closed head injury: role of IL-1R1 signaling 200 samples shares rna-seq
- GSE98969 Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [RNA] 97 samples shares rna-seq
- GSE239602 Single-cell and spatial transcriptomics uncovers the role of senescent vascular cells in pathological arterial remodeling during murine atherosclerosis 82 samples shares arterial
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.