Effect of semaglutide treatment in aged mice
RNA-seq (gene expression) · mouse · 10 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
- 10 samples: 10 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.
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 GSE338091_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 PRJNA1492491 and SRA study SRP716575. 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 10 sample titles: 10 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.
- GSM9866416 Ctrl2_7
- GSM9866417 Ctrl4_7
- GSM9866418 Ctrl5_1
- GSM9866419 Ctrl8_7
- GSM9866420 Ctrl9_7
- GSM9866421 Semaglutide2_2
- GSM9866422 Semaglutide4_1
- GSM9866423 Semaglutide5_3
- GSM9866424 Semaglutide8_1
- GSM9866425 Semaglutide9_1
- GSE261670 ASOs are an effective treatment for disease-associated oligodendrocyte signatures in premanifest and symptomatic SCA3 mice 74 samples shares treatment
- GSE249630 Modeling T cell temporal response to cancer immunotherapy rationalize development of combinatorial treatments protocols 1372 samples shares treatment
- GSE269328 Glucagon receptor agonism and treatment withdrawal effect on liver transcriptomes of diet-induced obese mice 24 samples shares treatment
- GSE254229 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice 141 samples shares aged
- GSE261792 Effect of Ethoxysanguinarine treatment on gene expression after Angiotensin-II infused C57BL/6 mice 18 samples shares treatment
- GSE282210 Transcriptome analysis of quiescent livers and regenerating livers after partial hepatectomy (PH) in young and aged mice 133 samples shares aged
- GSE333820 Transcriptome profiling of ovaries in aged mice administered additional Samul-tang-associated compounds 96 samples shares aged
- GSE283201 Comparative gene expression profiling analysis of hippocampus and liver RNA-seq data for young (3-month-old) and aged (22-month-old) WT mice in both control and ethanol feeding conditions. 32 samples shares aged
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.