Aging Promotes Metabolic Dysfunction-associated Steatotic Liver Disease and Multi-Organ Dysfunction by Inducing Ferroptotic Stress
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 12 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
- Aging promotes metabolic dysfunction-associated steatotic liver disease by inducing ferroptotic stressNature aging · 2024
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 GSE262457_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 PRJNA1091908 and SRA study SRP497858. 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 12 sample titles: 12 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.
- GSM8170068 Y1 Young with CDA-HFD diet
- GSM8170069 Y2 Young with CDA-HFD diet
- GSM8170070 Y3 Young with CDA-HFD diet
- GSM8170071 Y4 Young with CDA-HFD diet
- GSM8170072 O1 Old with CDA-HFD diet
- GSM8170073 O2 Old with CDA-HFD diet
- GSM8170074 O3 Old with CDA-HFD diet
- GSM8170075 O4 Old with CDA-HFD diet
- GSM8170076 OFer1 Old with CDA-HFD diet and Ferrostatin-1 treatment
- GSM8170077 OFer2 Old with CDA-HFD diet and Ferrostatin-1 treatment
- GSM8170078 OFer3 Old with CDA-HFD diet and Ferrostatin-1 treatment
- GSM8170079 OFer4 Old with CDA-HFD diet and Ferrostatin-1 treatment
- GSE319035 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease [NAFLD_time_course] 77 samples shares dysfunction-associated, dysfunction, steatotic
- GSE275176 Transcriptomic alterations associated with the progression of metabolic dysfunction-associated steatotic liver disease in CC042 Collaborative Cross mice. 60 samples shares dysfunction-associated, dysfunction, steatotic
- GSE318801 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease. 20 samples shares dysfunction-associated, dysfunction, steatotic
- GSE312061 Liver-specific delivery of MDM2 antisense oligonucleotides counteracts diet-induced metabolic dysfunction-associated steatotic liver diseases 18 samples shares dysfunction-associated, dysfunction, steatotic
- GSE318804 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease. [macro_senescence] 12 samples shares dysfunction-associated, dysfunction, steatotic
- GSE318651 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease [RNAseq_sgCMPK2] 12 samples shares dysfunction-associated, dysfunction, steatotic
- GSE238201 Loss of PPARα function promotes epigenetic dysregulation of lipid homeostasis driving ferroptosis and pyroptosis lipotoxicity in Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) [RNA-seq] 12 samples shares dysfunction, steatotic, promotes
- GSE246213 A Mouse Model for Metabolic Dysfunction-associated Steatotic Liver Disease and Hepatocellular Carcinoma [ATAC-seq] 12 samples shares dysfunction-associated, dysfunction, steatotic
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.