A distinct vagus-beta cell neural circuit senses glucose and modulates insulin secretion
RNA-seq (gene expression) · mouse · 24 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
- 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 distinct vagus-beta cell neural circuit senses glucose and modulates insulin secretionMolecular metabolism · 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 GSE281091_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 PRJNA1182264 and SRA study SRP543284. 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.
- GSM8610722 Nodose ganglia, fasted_regular chow_male1, biol rep 1
- GSM8610723 Nodose ganglia, fasted_regular chow_male2, biol rep 2
- GSM8610724 Nodose ganglia, fasted_regular chow_male3, biol rep 3
- GSM8610725 Nodose ganglia, fasted_regular chow_female1, biol rep 4
- GSM8610726 Nodose ganglia, fasted_regular chow_female2, biol rep 5
- GSM8610727 Nodose ganglia, fasted_regular chow_female3, biol rep 6
- GSM8610728 Nodose ganglia, feeding_regular chow_male1, biol rep 1
- GSM8610729 Nodose ganglia, feeding_regular chow_male2, biol rep 2
- GSM8610730 Nodose ganglia, feeding_regular chow_male3, biol rep 3
- GSM8610731 Nodose ganglia, feeding_regular chow_female1, biol rep 4
- GSM8610732 Nodose ganglia, feeding_regular chow_female2, biol rep 5
- GSM8610733 Nodose ganglia, feeding_regular chow_female3, biol rep 6
- GSM8610734 Nodose ganglia, non-fasted_high fat diet_male1, biol rep 1
- GSM8610735 Nodose ganglia, non-fasted_high fat diet_male2, biol rep 2
- GSM8610736 Nodose ganglia, non-fasted_high fat diet_male3, biol rep 3
- GSM8610737 Nodose ganglia, non-fasted_high fat diet_female1, biol rep 4
- GSM8610738 Nodose ganglia, non-fasted_high fat diet_female2, biol rep 5
- GSM8610739 Nodose ganglia, non-fasted_high fat diet_female3, biol rep 6
- GSM8610740 Nodose ganglia, non-fasted_regular chow_male1, biol rep 1
- GSM8610741 Nodose ganglia, non-fasted_regular chow_male2, biol rep 2
- GSM8610742 Nodose ganglia, non-fasted_regular chow_male3, biol rep 3
- GSM8610743 Nodose ganglia, non-fasted_regular chow_female1, biol rep 4
- GSM8610744 Nodose ganglia, non-fasted_regular chow_female2, biol rep 5
- GSM8610745 Nodose ganglia, non-fasted_regular chow_female3, biol rep 6
- GSE285025 TEAD switches interacting partners along neural progenitor lineage progression to execute distinct functions 23 samples shares distinct, neural
- GSE272353 Genetic context modulates aging and degeneration in the murine retina 201 samples shares modulates
- GSE292224 Distinct molecular mechanisms of stress habituation in the mouse hippocampus [bulk RNA-seq] 190 samples shares distinct
- GSE274992 Splenic fibroblasts control marginal zone B-cell movement and function via two distinct Notch2-dependent regulatory programs 119 samples shares distinct
- GSE246617 Cerebral vascular transcriptome profiling reveals intermittent fasting modulates chronic cerebral hypoperfusion-induced disease pathways. 78 samples shares modulates
- GSE271971 Pulmonary microvascular endothelial cells support alveolar epithelial growth via bone morphogenetic protein 6 secretion 72 samples shares secretion
- GSE329024 Distinct HPO axis responses to chronic unpredictable stress in young versus adult female mice 63 samples shares distinct
- GSE264153 TATA-binding Associated Factors have distinct roles during early mammalian development 57 samples shares distinct
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.