ACSS2 aggravates Metabolic dysfunction associated steatohepatitis (MASH) by regulating AIF1 mediated inflammation
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: 5 × FLOX vs 5 × KOGroups 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 GSE310314_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 PRJNA1365757 and SRA study SRP646262. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM9293923 FLOX1 FLOX
- GSM9293924 FLOX2 FLOX
- GSM9293925 FLOX3 FLOX
- GSM9293926 FLOX4 FLOX
- GSM9293927 FLOX5 FLOX
- GSM9293928 KO1 KO
- GSM9293929 KO2 KO
- GSM9293930 KO3 KO
- GSM9293931 KO4 KO
- GSM9293932 KO5 KO
- GSE304692 Hepatocyte Circadian Clocks Control Cholesterol Metabolism and Protect From Metabolic Dysfunction-Associated Steatohepatitis (MASH) [RNAseq_palmitate_silencing] 24 samples shares mash, steatohepatitis, dysfunction
- GSE310831 Cellular and molecular mechanisms of Resmetirom in metabolic dysfunction-associated steatohepatitis (MASH): A transcriptomic profiling study 8 samples shares mash, steatohepatitis, dysfunction
- GSE261088 Gene expression profile at single cell level of non-parenchymal cells from Fibrosis and Tumor (FAT) Metabolic Dysfunction-Associated Steatohepatitis (MASH) model vs healthy liver at 12- and 24-week timepoints. 4 samples shares mash, steatohepatitis, dysfunction
- GSE325102 CXCL6 exacerbates metabolic dysfunction-associated steatohepatitis by suppressing LPIN1-mediated fatty acid oxidation in hepatocytes 12 samples shares steatohepatitis, dysfunction, mediated
- GSE309251 Western diet-induced MASH in PWK/PhJ mice identifies disruptions in amino acid and sphingolipid metabolism contributing to cardiac dysfunction 347 samples shares mash, dysfunction
- GSE279351 Liver-specific inactivation of Cideb improves metabolic profiles and ameliorates steatohepatitis and fibrosis in animal models for MASH 45 samples shares mash, steatohepatitis
- GSE318652 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease [RNAseq_MASHABT263] 11 samples shares mash, dysfunction
- GSE305662 AF6 promotes lipid droplet fusion and aggravates MASH via C/EBPβ–CIDEA axis 10 samples shares mash, aggravates
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.