Arcuate nucleus of the hypothalamus cells are sensitive to nutritional state in a sex dependent manner.
Single-nucleus RNA-seq · mouse · 12 samples
- What it is
- Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × Female, ad. Libitum fed, vs 3 × Female, 28 hours fasted, vs 3 × Male, ad. Libitum fed, vs 3 × Male, 28 hours fasted,Groups 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
- Sex-specific differences in mediobasal hypothalamus in response to nutritional statesNature communications · 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 GSE282955_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 PRJNA1191358 and SRA study SRP547960. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8653639 Female, ad. Libitum fed, batch 1 Female, ad. Libitum fed,
- GSM8653640 Female, ad. Libitum fed, batch 2 Female, ad. Libitum fed,
- GSM8653641 Female, ad. Libitum fed, batch 3 Female, ad. Libitum fed,
- GSM8653642 Female, 28 hours fasted, batch 1 Female, 28 hours fasted,
- GSM8653643 Female, 28 hours fasted, batch 2 Female, 28 hours fasted,
- GSM8653644 Female, 28 hours fasted, batch 3 Female, 28 hours fasted,
- GSM8653645 Male, ad. Libitum fed, batch 1 Male, ad. Libitum fed,
- GSM8653646 Male, ad. Libitum fed, batch 2 Male, ad. Libitum fed,
- GSM8653647 Male, ad. Libitum fed, batch 3 Male, ad. Libitum fed,
- GSM8653648 Male, 28 hours fasted, batch 1 Male, 28 hours fasted,
- GSM8653649 Male, 28 hours fasted, batch 2 Male, 28 hours fasted,
- GSM8653650 Male, 28 hours fasted, batch 3 Male, 28 hours fasted,
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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.