Expression data from human liver with or without type 2 diabetes
Expression microarray · human · 17 samples
- What it is
- Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
- Organism
- Homo sapiens (human)
- Samples
- 17 samples: 10 × Liver_hyperglycima_no vs 7 × Liver_normoglycima_noGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed expression table (series matrix) and the array files, from NCBI.
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 (GSE23343_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: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.
Also filed as BioProject PRJNA131483. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 17 samples.
How we read this: 2 replicated groups read from 17 sample titles; they account for 17 of them. 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.
- GSM572800 Liver_normoglycima_no.1 Liver_normoglycima_no
- GSM572801 Liver_normoglycima_no.2 Liver_normoglycima_no
- GSM572802 Liver_normoglycima_no.3 Liver_normoglycima_no
- GSM572803 Liver_normoglycima_no.4 Liver_normoglycima_no
- GSM572804 Liver_normoglycima_no.5 Liver_normoglycima_no
- GSM572805 Liver_normoglycima_no.6 Liver_normoglycima_no
- GSM572806 Liver_normoglycima_no.7 Liver_normoglycima_no
- GSM572807 Liver_hyperglycima_no.1 Liver_hyperglycima_no
- GSM572808 Liver_hyperglycima_no.2 Liver_hyperglycima_no
- GSM572809 Liver_hyperglycima_no.3 Liver_hyperglycima_no
- GSM572810 Liver_hyperglycima_no.4 Liver_hyperglycima_no
- GSM572811 Liver_hyperglycima_no.5 Liver_hyperglycima_no
- GSM572812 Liver_hyperglycima_no.6 Liver_hyperglycima_no
- GSM572813 Liver_hyperglycima_no.7 Liver_hyperglycima_no
- GSM572814 Liver_hyperglycima_no.8 Liver_hyperglycima_no
- GSM572815 Liver_hyperglycima_no.9 Liver_hyperglycima_no
- GSM572816 Liver_hyperglycima_no.10 Liver_hyperglycima_no
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares liver, type
- GSE298811 Immune dysregulation and stem-like CD8+ T cell enrichment in type 1 diabetes pancreatic lymph nodes 57 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
- GSE296875 Liver single-nucleus multiome profiling reveals cell-type mechanisms for cardiometabolic traits 16 samples shares liver, type
- 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
- GSE262496 Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C [Capture-C] 11 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
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.