Sleep Loss Amplifies the Neuron-Specific Interleukin-1 Receptor Accessory Protein Oncogenic Roles
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 5 × CTL-AcPbKO vs 4 × SD-WT vs 4 × SD-AcPbKO vs 3 × CTL-WTGroups 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
- Sleep loss-induced oncogenic pathways are mediated via the neuron-specific interleukin-1 receptor accessory protein (AcPb)Brain, behavior, and immunity · 2025
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 GSE263872_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 PRJNA1099654 and SRA study SRP501484. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8200423 CTL-WT-01 CTL-WT
- GSM8200424 CTL-WT-02 CTL-WT
- GSM8200425 CTL-WT-03 CTL-WT
- GSM8200426 SD-WT-01 SD-WT
- GSM8200427 SD-WT-02 SD-WT
- GSM8200428 SD-WT-03 SD-WT
- GSM8200429 SD-WT-04 SD-WT
- GSM8200430 CTL-AcPbKO-01 CTL-AcPbKO
- GSM8200431 CTL-AcPbKO-02 CTL-AcPbKO
- GSM8200432 CTL-AcPbKO-03 CTL-AcPbKO
- GSM8200433 CTL-AcPbKO-04 CTL-AcPbKO
- GSM8200434 CTL-AcPbKO-05 CTL-AcPbKO
- GSM8200435 SD-AcPbKO-01 SD-AcPbKO
- GSM8200436 SD-AcPbKO-02 SD-AcPbKO
- GSM8200437 SD-AcPbKO-03 SD-AcPbKO
- GSM8200438 SD-AcPbKO-04 SD-AcPbKO
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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.