Unraveling the Cellular Landscape of Abdominal Aortic Aneurysm Using High-Resolution Spatial Transcriptomics:
Spatial transcriptomics · synthetic construct; Mus musculus · 3 samples
- What it is
- Spatial transcriptomicsGene activity measured with its position in a tissue section.
- Organism
- synthetic construct; Mus musculus
- Samples
- 3 samples: 3 samples, each with a distinct title — no replicated groupsGroups 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
- Single-cell spatial transcriptomics unravels the cellular landscape of abdominal aortic aneurysmJCI insight · 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 GSE229500_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: Spatial studies usually ship Space Ranger style folders (count matrix plus tissue images). Look for them among the supplementary files.
Also filed as BioProject PRJNA954777 and SRA study SRP432212. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 3 sample titles: 3 distinct titles with little repetition. 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.
- GSM7164558 SeqScope_1st
- GSM7164559 Aorta_2nd
- GSM7164560 Aorta_2nd 300 bp
No close match found for this topic, so these are simply the most-viewed datasets of the same kind.
- GSE297068 A spatial code governs olfactory receptor choice and aligns sensory maps in the nose and brain 291 samples
- GSE274507 Reporter CRISPR screens decipher cis- and trans-regulatory principles at the Xist locus 244 samples
- GSE99978 Thiol-linked alkylation for the metabolic sequencing of RNA 141 samples
- GSE216095 Targeting MYC effector functions in pancreatic cancer by inhibiting the ATPase RUVBL1/2 87 samples
- GSE275724 GeoMx DSP- profiling of mouse spleen 67 samples
- GSE248680 Therapeutic application of circular RNA aptamers in a mouse model of psoriasis 40 samples
- GSE277603 Differential IRES-initiated translation during homeostatic stem cell differentiation and stress 36 samples
- GSE256215 Aberrant homeodomain-DNA cooperative dimerization underlies distinct developmental defects in two dominant CRX retinopathy models 32 samples
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.