RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes
Single-cell RNA-seq · human · 1600 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 1600 samples
- 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.
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 GSE81608_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 PRJNA322072 and SRA study SRP075377. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 1600 more — browse all 1600 samples with per-sample file links →
- GSE280402 Deciphering the Transcriptomic Landscape of Type 2 Diabetes: Insights from Bulk RNA Sequencing and Single-Cell Analysis [RNA-seq] 16 samples shares diabetes, type
- GSE309967 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes 48 samples shares diabetes, type
- GSE309941 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes [bulk RNA-seq] 42 samples shares diabetes, type
- GSE279086 Attenuated kidney oxidative metabolism in young adults with type 1 diabetes 40 samples shares diabetes, type
- GSE316742 SGLT2 inhibition reverses metabolic and inflammatory kidney signatures in youth with type 1 diabetes 27 samples shares diabetes, type
- GSE273594 Single-cell multiome profiling reveals pancreas cell type-specific gene regulatory programs of type 1 diabetes progression [multiome] 8 samples shares diabetes, type
- GSE298811 Immune dysregulation and stem-like CD8+ T cell enrichment in type 1 diabetes pancreatic lymph nodes 57 samples shares diabetes, type
- GSE262496 Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C [Capture-C] 11 samples shares diabetes, type
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.