Sex differences in Non-Alcoholic Steatohepatitis (NASH) in mice evoked by a fructose-palmitate-cholesterol (FPC)-enriched diet
RNA-seq (gene expression) · mouse · 49 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
- 49 samples: 12 conditions, mostly with about 4 replicates eachGroups 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 differences in murine MASH induced by a fructose-palmitate-cholesterol-enriched dietJHEP reports : innovation in hepatology · 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 GSE256505_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 PRJNA1079796 and SRA study SRP491428. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 43 samples.
How we read this: 12 replicated groups read from 49 sample titles; they account for 43 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.
- GSM8101947 Male, NASH, rep1 Male, NASH,
- GSM8101948 Male, NASH, rep2 Male, NASH,
- GSM8101949 Male, NASH, rep3 Male, NASH,
- GSM8101950 Male, SC, rep1 Male, SC,
- GSM8101951 Male, SC, rep2 Male, SC,
- GSM8101952 Male, SC, rep3 Male, SC,
- GSM8101953 Female, SC, rep1 Female, SC,
- GSM8101954 Female, SC, rep2 Female, SC,
- GSM8101955 Female, SC, rep3 Female, SC,
- GSM8101956 Female, NASH, rep1 Female, NASH,
- GSM8101957 Female, NASH, rep2 Female, NASH,
- GSM8101958 Female, NASH, rep3 Female, NASH,
- GSM8101959 Hepato_Female_Chow_1 Hepato_Female_Chow
- GSM8101960 Hepato_Female_Chow_2 Hepato_Female_Chow
- GSM8101961 Hepato_Female_Chow_3 Hepato_Female_Chow
- GSM8101962 Hepato_Female_Chow_4 Hepato_Female_Chow
- GSM8101963 Hepato_Female_NASH_1 Hepato_Female_NASH
- GSM8101964 Hepato_Female_NASH_2 Hepato_Female_NASH
- GSM8101965 Hepato_Female_NASH_3 Hepato_Female_NASH
- GSM8101966 Hepato_Female_NASH_4 Hepato_Female_NASH
- GSM8101967 Hepato_Male_Chow_1 Hepato_Male_Chow
- GSM8101968 Hepato_Male_Chow_2 Hepato_Male_Chow
- GSM8101969 Hepato_Male_Chow_3 Hepato_Male_Chow
- GSM8101970 Hepato_Male_Chow_4 Hepato_Male_Chow
- GSM8101971 Hepato_Male_NASH_1 Hepato_Male_NASH
- GSM8101972 Hepato_Male_NASH_2 Hepato_Male_NASH
- GSM8101973 Hepato_Male_NASH_3 Hepato_Male_NASH
- GSM8101974 Hepato_Male_NASH_4 Hepato_Male_NASH
- GSM8101975 HSC_Female_Chow_1 HSC_Female_Chow
- GSM8101976 HSC_Female_Chow_2 HSC_Female_Chow
- GSM8101977 HSC_Female_Chow_4 HSC_Female_Chow
- GSM8101978 HSC_Female_NASH_1 HSC_Female_NASH
- GSM8101979 HSC_Female_NASH_2 HSC_Female_NASH
- GSM8101980 HSC_Female_NASH_3 HSC_Female_NASH
- GSM8101981 HSC_Female_NASH_4 HSC_Female_NASH
- GSM8101982 HSC_Male_Chow_1 HSC_Male_Chow
- GSM8101983 HSC_Male_Chow_2 HSC_Male_Chow
- GSM8101984 HSC_Male_Chow_3 HSC_Male_Chow
- GSM8101985 HSC_Male_Chow_4 HSC_Male_Chow
- GSM8101986 HSC_Male_NASH_1 HSC_Male_NASH
+ 9 more — browse all 49 samples with per-sample file links →
- GSE256502 Sex differences in Non-Alcoholic Steatohepatitis (NASH) in mice evoked by a fructose-palmitate-cholesterol (FPC)-enriched diet [bulk_isolated_cells] 31 samples shares nash, fpc, fructose-palmitate-cholesterol, steatohepatitis, non-alcoholic, differences, enriched, evoked
- GSE256501 Sex differences in Non-Alcoholic Steatohepatitis (NASH) in mice evoked by a fructose-palmitate-cholesterol (FPC)-enriched diet [bulk_liver] 12 samples shares nash, fpc, fructose-palmitate-cholesterol, steatohepatitis, non-alcoholic, differences, enriched, evoked
- GSE256503 Sex differences in Non-Alcoholic Steatohepatitis (NASH) in mice evoked by a fructose-palmitate-cholesterol (FPC)-enriched diet [single_nucleus] 4 samples shares nash, fpc, fructose-palmitate-cholesterol, steatohepatitis, non-alcoholic, differences, enriched, evoked
- GSE218073 Membrane phospholipid remodeling modulates nonalcoholic steatohepatitis progression by regulating mitochondrial homeostasis [LKO_NASH] 10 samples shares nash, steatohepatitis
- GSE248077 Perturbed liver gene zonation in a mouse model of non-alcoholic steatohepatitis 13 samples shares steatohepatitis, non-alcoholic
- GSE233051 A cyclic peptide-grafted Fc with hepatocyte growth factor functionality ameliorates hepatic fibrosis in a non-alcoholic steatohepatitis mouse model. 36 samples shares steatohepatitis, non-alcoholic
- GSE264747 DC-SIGN+ Macrophages alleviates Non-Alcoholic Steatohepatitis by modulating inflammatory cytokine secretion 13 samples shares steatohepatitis, non-alcoholic
- GSE191293 The role of XBP1 in regulating the progression of non-alcoholic steatohepatitis 12 samples shares steatohepatitis, non-alcoholic
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.