DIO-MASH mice analysed for hepatic gene expression after treatment with semaglutide
RNA-seq (gene expression) · mouse · 77 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
- 77 samples: 77 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
- Modulation of metabolic, inflammatory and fibrotic pathways by semaglutide in metabolic dysfunction-associated steatohepatitisNature medicine · 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 GSE294629_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 PRJNA1250965 and SRA study SRP578674. 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 77 sample titles: 77 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.
- GSM8912743 16174.fastq.gz,GUS2020_256_NN,95981,Liver,Chow_Vehicle_24_w,10090
- GSM8912744 16175.fastq.gz,GUS2020_256_NN,95826,Liver,Vehicle_8_w,10090
- GSM8912745 16176.fastq.gz,GUS2020_256_NN,95924,Liver,Semaglutide_8_w,10090
- GSM8912746 16177.fastq.gz,GUS2020_256_NN,95879,Liver,Chow_reversal_8_w,10090
- GSM8912747 16178.fastq.gz,GUS2020_256_NN,95914,Liver,Vehicle_16_w,10090
- GSM8912748 16179.fastq.gz,GUS2020_256_NN,95856,Liver,Semaglutide_16_w,10090
- GSM8912749 16180.fastq.gz,GUS2020_256_NN,95953,Liver,Chow_reversal_16_w,10090
- GSM8912750 16181.fastq.gz,GUS2020_256_NN,95929,Liver,Vehicle_24_w,10090
- GSM8912751 16182.fastq.gz,GUS2020_256_NN,95809,Liver,Semaglutide_24_w,10090
- GSM8912752 16183.fastq.gz,GUS2020_256_NN,95933,Liver,Chow_reversal_24_w,10090
- GSM8912753 16184.fastq.gz,GUS2020_256_NN,95988,Liver,Chow_Vehicle_24_w,10090
- GSM8912754 16185.fastq.gz,GUS2020_256_NN,95811,Liver,Vehicle_8_w,10090
- GSM8912755 16186.fastq.gz,GUS2020_256_NN,95818,Liver,Semaglutide_8_w,10090
- GSM8912756 16187.fastq.gz,GUS2020_256_NN,95915,Liver,Chow_reversal_8_w,10090
- GSM8912757 16188.fastq.gz,GUS2020_256_NN,95804,Liver,Vehicle_16_w,10090
- GSM8912758 16189.fastq.gz,GUS2020_256_NN,95783,Liver,Semaglutide_16_w,10090
- GSM8912759 16190.fastq.gz,GUS2020_256_NN,95868,Liver,Chow_reversal_16_w,10090
- GSM8912760 16192.fastq.gz,GUS2020_256_NN,95926,Liver,Semaglutide_24_w,10090
- GSM8912761 16193.fastq.gz,GUS2020_256_NN,95782,Liver,Chow_reversal_24_w,10090
- GSM8912762 16194.fastq.gz,GUS2020_256_NN,95982,Liver,Chow_Vehicle_24_w,10090
- GSM8912763 16195.fastq.gz,GUS2020_256_NN,95940,Liver,Vehicle_8_w,10090
- GSM8912764 16196.fastq.gz,GUS2020_256_NN,95890,Liver,Semaglutide_8_w,10090
- GSM8912765 16197.fastq.gz,GUS2020_256_NN,95891,Liver,Chow_reversal_8_w,10090
- GSM8912766 16198.fastq.gz,GUS2020_256_NN,95859,Liver,Vehicle_16_w,10090
- GSM8912767 16200.fastq.gz,GUS2020_256_NN,95807,Liver,Chow_reversal_16_w,10090
- GSM8912768 16201.fastq.gz,GUS2020_256_NN,95934,Liver,Vehicle_24_w,10090
- GSM8912769 16202.fastq.gz,GUS2020_256_NN,95858,Liver,Semaglutide_24_w,10090
- GSM8912770 16203.fastq.gz,GUS2020_256_NN,95773,Liver,Chow_reversal_24_w,10090
- GSM8912771 16204.fastq.gz,GUS2020_256_NN,95989,Liver,Chow_Vehicle_24_w,10090
- GSM8912772 16205.fastq.gz,GUS2020_256_NN,95882,Liver,Vehicle_8_w,10090
- GSM8912773 16206.fastq.gz,GUS2020_256_NN,95831,Liver,Semaglutide_8_w,10090
- GSM8912774 16207.fastq.gz,GUS2020_256_NN,95769,Liver,Chow_reversal_8_w,10090
- GSM8912775 16208.fastq.gz,GUS2020_256_NN,95778,Liver,Vehicle_16_w,10090
- GSM8912776 16209.fastq.gz,GUS2020_256_NN,95780,Liver,Semaglutide_16_w,10090
- GSM8912777 16210.fastq.gz,GUS2020_256_NN,95905,Liver,Chow_reversal_16_w,10090
- GSM8912778 16211.fastq.gz,GUS2020_256_NN,95819,Liver,Vehicle_24_w,10090
- GSM8912779 16212.fastq.gz,GUS2020_256_NN,95860,Liver,Semaglutide_24_w,10090
- GSM8912780 16213.fastq.gz,GUS2020_256_NN,95839,Liver,Chow_reversal_24_w,10090
- GSM8912781 16214.fastq.gz,GUS2020_256_NN,95987,Liver,Chow_Vehicle_24_w,10090
- GSM8912782 16215.fastq.gz,GUS2020_256_NN,95816,Liver,Vehicle_8_w,10090
+ 37 more — browse all 77 samples with per-sample file links →
- GSE294630 CDA HFD mice analysed for hepatic gene expression after treatment with semaglutide 97 samples shares semaglutide, treatment, analysed, hepatic
- GSE301751 Therapeutic Efficacy, Biomarker Signatures and Translatability of Semaglutide in the Liver Biopsy-Confirmed GAN DIO-MASH Mouse Model (study 7/9) 53 samples shares dio-mash, semaglutide
- GSE310507 Therapeutic Efficacy, Biomarker Signatures and Translatability of Semaglutide in the Liver Biopsy-Confirmed GAN DIO-MASH Mouse Model (study 6) 24 samples shares dio-mash, semaglutide
- GSE338091 Effect of semaglutide treatment in aged mice 10 samples shares semaglutide, treatment
- GSE279813 Gene expression changes in skin of dihydrotestosterone-induced mice after treatment of a newly-developed traditional Chinese medicine formula, Hanlianxiang. 24 samples shares treatment
- GSE261792 Effect of Ethoxysanguinarine treatment on gene expression after Angiotensin-II infused C57BL/6 mice 18 samples shares treatment
- GSE224275 Effects on the transcriptome of mouse embryonic fibroblasts after both Son overexpression and knockdown and treatment with 3μM nintedanib, 1μM ponatinib, 3μM proflavine hemisulfate, and 1μM pyrvinium pamoate 43 samples shares treatment
- GSE181641 Oxygen-dependent changes of gene expression in BMDM after LPS treatment 36 samples shares treatment
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.