Single-cell mapping of the glycocalyx in the adult human and mouse ocular surface
Single-cell RNA-seq · human · 12 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 12 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 mapping of the glycocalyx in the adult human and mouse ocular surfacePNAS nexus · 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 GSE299152_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1272848 and SRA study SRP590536. 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 12 sample titles: 12 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.
- GSM9034550 Donor3748_mRNA
- GSM9034551 Donor3748_ADT
- GSM9034552 Donor2046_mRNA
- GSM9034553 Donor2046_ADT
- GSM9034554 Donor2206_mRNA
- GSM9034555 Donor2206_ADT
- GSM9034556 Mice1_mRNA
- GSM9034557 Mice1_ADT
- GSM9034558 Mice4_mRNA
- GSM9034559 Mice4_ADT
- GSM9034560 MiceConj1_mRNA
- GSM9034561 MiceConj1_ADT
- GSE285564 Single-cell transcriptome comparison of myeloid cells’ in the retina in response to transplantation of human stem-cell derived neurons and to ocular damage reveals the reversibility of the microglia activation. 3 samples shares single-cell, ocular
- GSE44183 Genetic Programs in Human and Mouse Early Embryos Revealed by Single-Cell RNA-Sequencing 47 samples shares single-cell
- GSE307415 Single-cell RNA and BCR sequencing of age-associated B cells in mouse and human lupus 8 samples shares single-cell
- GSE270292 A convenient single-cell newly synthesized transcriptome assay reveals FLI1 regulon downregulation during T-cell activation 33 samples shares single-cell
- GSE242821 Atf3 controls transitioning in female mitochondrial cardiomyopathy as identified by single-cell transcriptomics 26 samples shares single-cell
- GSE300551 Massively multiplex multi-modal chemical screens at single-cell resolution with icCITE-plex 25 samples shares single-cell
- GSE268646 Functional phenotyping of genomic variants using joint multiomic single-cell DNA-RNA sequencing 17 samples shares single-cell
- GSE292322 HybriSeq: Probe-based Device-free Single-cell RNA Profiling 13 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.