Pancreatic Beta-Cell IL-22 Receptor Deficiency Induces Age-Dependent Dysregulation of Insulin Biosynthesis and Systemic Glucose Homeostasis
RNA-seq (gene expression) · mouse · 10 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 10 samples: 5 × MIN6N8 cells + PBS vs 5 × MIN6N8 cells +IL-22Groups 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
- Pancreatic beta-cell IL-22 receptor deficiency induces age-dependent dysregulation of insulin biosynthesis and systemic glucose homeostasisNature communications · 2024
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 GSE262867_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1094397 and SRA study SRP498810. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8180785 MIN6N8 cells + PBS_1 MIN6N8 cells + PBS
- GSM8180786 MIN6N8 cells + PBS_2 MIN6N8 cells + PBS
- GSM8180787 MIN6N8 cells + PBS_3 MIN6N8 cells + PBS
- GSM8180788 MIN6N8 cells + PBS_4 MIN6N8 cells + PBS
- GSM8180789 MIN6N8 cells + PBS_5 MIN6N8 cells + PBS
- GSM8180790 MIN6N8 cells +IL-22_1 MIN6N8 cells +IL-22
- GSM8180791 MIN6N8 cells +IL-22_2 MIN6N8 cells +IL-22
- GSM8180792 MIN6N8 cells +IL-22_3 MIN6N8 cells +IL-22
- GSM8180793 MIN6N8 cells +IL-22_4 MIN6N8 cells +IL-22
- GSM8180794 MIN6N8 cells +IL-22_5 MIN6N8 cells +IL-22
- GSE279885 Perimenopausal State Oestradiol to Progesterone Imbalance Drives Alzheimer’s Risk via ERRα Dysregulation and Energy Dyshomeostasis 59 samples shares dysregulation, homeostasis
- GSE307615 Perimenopausal State Oestradiol to Progesterone Imbalance Drives Alzheimer’s Risk via ERRα Dysregulation and Energy Dyshomeostasis [EnrichedNeuron_RNASeq] 16 samples shares dysregulation, homeostasis
- GSE238201 Loss of PPARα function promotes epigenetic dysregulation of lipid homeostasis driving ferroptosis and pyroptosis lipotoxicity in Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) [RNA-seq] 12 samples shares dysregulation, homeostasis
- GSE279884 Perimenopausal State Oestradiol to Progesterone Imbalance Drives Alzheimer’s Risk via ERRα Dysregulation and Energy Dyshomeostasis [VCD_Cycle14] 11 samples shares dysregulation, homeostasis
- GSE295926 Maternal Vitamin C Deficiency and Genetic Risk Factors Contribute to Congenital Malformations through Dysregulation of DNA Methylation. 67 samples shares dysregulation, deficiency
- GSE279403 Dietary cysteine enhances intestinal stemness via CD8+ T cell-derived IL-22 28 samples shares il-22
- GSE296201 A20’s Linear Ubiquitin Binding Motif Restrains Pathogenic Activation of TH17/22 cells and IL-22 Driven Enteritis [RNA-Seq] 18 samples shares il-22
- GSE314532 Cis-regulation of IL-22 gene in type 3 immune cells 16 samples shares il-22
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.