A pancreas–hippocampus feedback mechanism regulates circadian changes in depression-related behaviors
RNA-seq (gene expression) · human · 38 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
- Homo sapiens (human)
- Samples
- 38 samples: 38 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 pancreas-hippocampus feedback mechanism regulates circadian changes in depression-related behaviorsNature neuroscience · 2025
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 GSE283118_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 PRJNA1192191 and SRA study SRP548420. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 24 samples read as cases, 14 as controls.
How we read this: Read from 38 sample titles: 38 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.
- GSM8656247 human iPSC, neurons, BDII patient 1, rep1
- GSM8656248 human iPSC, neurons, BDII patient 2, rep2
- GSM8656249 human iPSC, neurons, BDII patient 3, rep3
- GSM8656250 human iPSC, neurons, BDII patient 4, rep4
- GSM8656251 human iPSC, neurons, healthy control 1, rep1
- GSM8656252 human iPSC, neurons, healthy contro 2, rep2
- GSM8656253 human iPSC, neurons, healthy contro 3, rep3
- GSM8656254 human iPSC, neurons, healthy contro 4, rep4
- GSM8656255 human iPSC, neurons, healthy contro 5, rep5
- GSM8656256 human iPSC, neurons, MDD patient 1, rep1
- GSM8656257 human iPSC, neurons, MDD patient 2, rep2
- GSM8656258 human iPSC, neurons, MDD patient 3, rep3
- GSM8656259 human iPSC, neurons, MDD patient 4, rep4
- GSM8656260 human iPSC, islet-like organoids, BDII patient 1, rep1
- GSM8656261 human iPSC, islet-like organoids, BDII patient 2, rep2
- GSM8656262 human iPSC, islet-like organoids, BDII patient 3, rep3
- GSM8656263 human iPSC, islet-like organoids, BDII patient 4, rep4
- GSM8656264 human iPSC, islet-like organoids, BDII patient 5, rep5
- GSM8656265 human iPSC, islet-like organoids, healthy control group I, subject 1, rep1
- GSM8656266 human iPSC, islet-like organoids, healthy control group I, subject 2, rep2
- GSM8656267 human iPSC, islet-like organoids, healthy control group I, subject 3, rep3
- GSM8656268 human iPSC, islet-like organoids, healthy control group I, subject 4, rep4
- GSM8656269 human iPSC, islet-like organoids, healthy control group II, subject 1, rep1
- GSM8656270 human iPSC, islet-like organoids, healthy control group II, subject 2, rep2
- GSM8656271 human iPSC, islet-like organoids, healthy control group II, subject 3, rep3
- GSM8656272 human iPSC, islet-like organoids, healthy control group II, subject 4, rep4
- GSM8656273 human iPSC, islet-like organoids, healthy control group II, subject 5, rep5
- GSM8656274 human iPSC, islet-like organoids, lithium-responsive patients, subject 1, rep1
- GSM8656275 human iPSC, islet-like organoids, lithium-responsive patients, subject 2, rep2
- GSM8656276 human iPSC, islet-like organoids, lithium-responsive patients, subject 3, rep3
- GSM8656277 human iPSC, islet-like organoids, MDD patient 1, rep1
- GSM8656278 human iPSC, islet-like organoids, MDD patient 2, rep2
- GSM8656279 human iPSC, islet-like organoids, MDD patient 3, rep3
- GSM8656280 human iPSC, islet-like organoids, MDD patient 4, rep4
- GSM8656281 human iPSC, islet-like organoids, MDD patient 5, rep5
- GSM8656282 human iPSC, islet-like organoids, lithium-nonresponsive patients, subject 1, rep1
- GSM8656283 human iPSC, islet-like organoids, lithium-nonresponsive patients, subject 2, rep2
- GSM8656284 human iPSC, islet-like organoids, lithium-nonresponsive patients, subject 3, rep3
- GSE270290 Evidence for a role of human blood-borne factors in mediating age-associated changes in molecular circadian rhythms 208 samples shares circadian, changes
- GSE270288 Evidence for a role of human blood-borne factors in mediating age-associated changes in molecular circadian rhythms (main experiment) 112 samples shares circadian, changes
- GSE270289 Evidence for a role of human blood-borne factors in mediating age-associated changes in molecular circadian rhythms (preliminary experiment) 96 samples shares circadian, changes
- GSE326530 Comparative circadian transcriptome analysis reveals dampened and phase-advanced rhythms in sun-exposed skin 160 samples shares circadian
- GSE260643 BMAL1–HIF2A heterodimer modulates circadian variations of myocardial injury 155 samples shares circadian
- GSE318560 Common pathogenic mechanisms in the hippocampus across neurodegenerative dementias: Alzheimer's disease, Down syndrome, and Parkinson's disease 20 samples shares hippocampus
- GSE295758 Circadian rhythmicity and biopsychosocial characteristics influence opioid use in chronic low back pain 120 samples shares circadian
- GSE263713 Fibroblasts as an in vitro model of circadian genetic and genomic studies: A temporal analysis (RNA-Seq) 78 samples shares circadian
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.