GEO series

Spatial transcriptome of vascular amyloid pathologies

GSE317240 Homo sapiens (human) Other 2 samples Submitted 2026/10/13 Platform GPL34281

At a glance

human · 2 samples

Organism: Homo sapiens (human)
Samples: 2 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI.

Summary (written by the submitters)

Amyloid-beta related angiitis (ABRA) and cerebral amyloid angiopathy (CAA) are characterized by vascular amyloid-beta depositions. Clinically, both patient groups can present with hemorrhages where histopathological analyses of the biopsies aid in the diagnosis. However, larger case series for ABRA as well as the molecular differences between ABRA and CAA are unknown.

Read the full summary ↓

To investigate the difference between ABRA and CAA, we performed spatial RNA sequencing from brain biopsies of ABRA patients, CAA patients, patients with primary angiitis of the CNS (PACNS) and controls. The brain biopsies from the ABRA, CAA and PACNS patients were obtained from surgical hemorrhage evacuations. We generated 2 tissue microarrays with 9 and 8 punches (3 mm diameter each). The Visium 10x technology was used for the spatial RNA-sequencing.

This dataset

Open GSE317240 in finder → Find more human datasets →

Download · which file do I need?

Direct links to NCBI, 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.

1 · Just have a look

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.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗

3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE317240_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

Also filed as BioProject PRJNA1406523. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 2 more — browse all 2 samples with per-sample file links →

Datasets on a similar topic

GSE312129 Single-nuclei multiome and spatial analyses of early, untreated SSc skin identify a proinflammatory vascular niche of macrophage-fibroblast signaling 38 samples shares vascular, spatial
GSE289044 Spatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progression 252 samples shares spatial
GSE210616 Spatial transcriptomics of triple negative breast cancer 43 samples shares spatial
GSE306129 Spatial biology reveals macrophage dysfunction in immunosuppressed non-melanoma skin cancer [spatial_ATAC] 28 samples shares spatial
GSE271370 Spatial transcriptomics unveils the in situ cellular and molecular hallmarks of the lung in fatal COVID-19 23 samples shares spatial
GSE300809 Enhancer Dynamics and Spatial Organization Drive Anatomically Restricted Cellular States in the Human Spinal Cord [STABseq] 16 samples shares spatial
GSE332618 Identification and Characterization of Adrenergic and Mesenchymal Cancer Cell States in Neuroblastoma Using Spatial-Omics [Spatial Transcriptomics] 16 samples shares spatial
GSE348584 A single cell and spatial atlas of preinvasive breast cancer 15 samples shares spatial

Search all human datasets in GEO →

Share this dataset

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.