Spatial and Single-cell Transcriptomic Characterization of WIF1-induced Normal-tension Glaucoma [Visium]
Spatial transcriptomics · mouse · 4 samples
- What it is
- Spatial transcriptomicsGene activity measured with its position in a tissue section.
- Organism
- Mus musculus (mouse)
- Samples
- 4 samples: 4 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.
Read the full summary ↓
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.
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.
Whole study · RAW.tar
Everything the authors deposited as one archive (GSE293380_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.
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 PRJNA1244319. 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 4 sample titles: 4 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.
- GSM8881187 Retina, ST, bio rep1, frame1
- GSM8881188 Retina, ST, bio rep2, frame2
- GSM8881189 Retina, ST, bio rep3, frame3
- GSM8881190 Retina, ST, bio rep4, frame4
- GSE255371 Characterization of cuprizone mouse model at single-cell and spatial transcriptomics level 86 samples shares single-cell, spatial
- GSE239602 Single-cell and spatial transcriptomics uncovers the role of senescent vascular cells in pathological arterial remodeling during murine atherosclerosis 82 samples shares single-cell, spatial
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares single-cell, spatial
- GSE276088 Single-cell transcriptomic and spatial subcellular landscape of the articular disk synovium in mouse temporomandibular joint osteoarthritis 18 samples shares single-cell, spatial
- GSE308859 Integrated Spatial Transcriptomics and Single-Cell RNA Sequencing Reveal Lars2-Mediated Spatiotemporal Dynamics of Myocardial Remodeling in a Mouse Model of Transverse Aortic Constriction (TAC) 8 samples shares single-cell, spatial
- GSE239591 Single-cell and spatial transcriptomics uncovers the role of senescent vascular cells in pathological arterial remodeling during murine atherosclerosis 6 samples shares single-cell, spatial
- GSE304674 scHiCAR: a tri-modal single-cell genomics technology for integrated transcriptome, epigenome, and 3D genome analysis in complex tissues [mouse_skeletal_muscle_scHiCAR] 50 samples shares single-cell
- GSE303006 Gene regulatory landscape dissected by single-cell four-omics sequencing 16 samples shares single-cell
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.