Single-cell transcriptomic analysis reveals that inflammation drives the unfolded protein response during endocrine aging in mice
Single-cell RNA-seq · mouse · 24 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 24 samples: 24 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
- A single-cell transcriptomic landscape characterizes the endocrine system aging in the mouseProtein & cell · 2026
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 GSE239316_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 PRJNA998802 and SRA study SRP451686. 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 24 sample titles: 24 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.
- GSM7663095 Hypothalamus, young, sample1, snRNA-seq
- GSM7663096 Hypothalamus, aged, sample1, snRNA-seq
- GSM7663097 Hypothalamus, young, sample2, snRNA-seq
- GSM7663098 Hypothalamus, aged, sample2, snRNA-seq
- GSM7663099 Pituitary, young, sample1, scRNA-seq
- GSM7663100 Pituitary, aged, sample1, scRNA-seq
- GSM7663101 Pituitary, young, sample2, scRNA-seq
- GSM7663102 Pituitary, aged, sample2, scRNA-seq
- GSM7663103 Pineal gland, young, sample1, scRNA-seq
- GSM7663104 Pineal gland, aged, sample1, scRNA-seq
- GSM7663105 Pineal gland, young, sample2, scRNA-seq
- GSM7663106 Pineal gland, aged, sample2, scRNA-seq
- GSM7663107 Thyroid gland, young, sample1, scRNA-seq
- GSM7663108 Thyroid gland, aged, sample1, scRNA-seq
- GSM7663109 Thyroid gland, young, sample2, scRNA-seq
- GSM7663110 Thyroid gland, aged, sample2, scRNA-seq
- GSM7663111 Adrenal gland, young, sample1, scRNA-seq
- GSM7663112 Adrenal gland, aged, sample1, scRNA-seq
- GSM7663113 Adrenal gland, young, sample2, scRNA-seq
- GSM7663114 Adrenal gland, aged, sample2, scRNA-seq
- GSM7663115 Pancreas islet, young, sample1, scRNA-seq
- GSM7663116 Pancreas islet, aged, sample1, scRNA-seq
- GSM7663117 Pancreas islet, young, sample2, scRNA-seq
- GSM7663118 Pancreas islet, aged, sample2, scRNA-seq
- GSE267729 Single-Cell Transcriptomics Reveals Ovarian Aging and Senescent Cell Accumulation underlying the Estropausal Transition in Mice 18 samples shares single-cell, aging
- GSE304391 Global identification of ER stress-regulated RNA binding Proteins in clonal pancreatic beta-cells, reveals an important role for DEAD-box helicase 3 X-linked (DDX3X) in the execution of the Unfolded Protein Response and the determination of cell fate. 12 samples shares unfolded, protein
- GSE283089 MFRP in the retina is a molecular hub that organizes the apical membrane of RPE cells by engaging in interactions with specific protein and lipid molecules 12 samples shares protein, aging
- GSE281608 CREBH Regulates Mitochondrial Unfolded Protein Response to Maintain Energy Homeostasis 6 samples shares unfolded, protein
- GSE294772 Single-Cell Epigenomics Uncovers Heterochromatin Instability and Transcription Factor Dysfunction during Mouse Brain Aging [snATAC-Seq] [10X Multiome] 142 samples shares single-cell, aging
- 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
- GSE192687 Single-cell RNAseq analysis of renal endothelial cells in murine diabetic nephropathy 5464 samples shares single-cell
- GSE290574 Gene Regulatory Networks Orchestrating Oocyte Fate Bifurcation in Primordial Follicles Revealed by Single-Cell Transcriptomics 386 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.