Adipocyte-specific Mlkl knockout mitigates obesity-induced metabolic dysfunction by enhancing mitochondrial functions.
RNA-seq (gene expression) · mouse · 36 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
- 36 samples: 36 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
- Adipocyte-specific Mlkl knockout mitigates obesity-induced metabolic dysfunction by enhancing mitochondrial functionsCell death & disease · 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 GSE293219_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 PRJNA1243371 and SRA study SRP574016. 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 36 sample titles: 36 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.
- GSM8878793 eWAT 165, WT, ncd
- GSM8878794 eWAT 180, WT, ncd
- GSM8878795 eWAT 182, WT, ncd
- GSM8878796 eWAT 183, WT, ncd
- GSM8878797 eWAT 166, MlklAdi-KO, ncd
- GSM8878798 eWAT 179, MlklAdi-KO, ncd
- GSM8878799 eWAT 197, MlklAdi-KO, ncd
- GSM8878800 eWAT 199, MlklAdi-KO, ncd
- GSM8878801 eWAT 154, WT, hfd
- GSM8878802 eWAT 155, WT, hfd
- GSM8878803 eWAT 161, WT, hfd
- GSM8878804 eWAT 162, WT, hfd
- GSM8878805 eWAT 164, WT, hfd
- GSM8878806 eWAT 151, MlklAdi-KO, hfd
- GSM8878807 eWAT 152, MlklAdi-KO, hfd
- GSM8878808 eWAT 153, MlklAdi-KO, hfd
- GSM8878809 eWAT 156, MlklAdi-KO, hfd
- GSM8878810 eWAT 157, MlklAdi-KO, hfd
- GSM8878811 LV 165, WT, ncd
- GSM8878812 LV 180, WT, ncd
- GSM8878813 LV 182, WT, ncd
- GSM8878814 LV 183, WT, ncd
- GSM8878815 LV 166, MlklAdi-KO, ncd
- GSM8878816 LV 179, MlklAdi-KO, ncd
- GSM8878817 LV 197, MlklAdi-KO, ncd
- GSM8878818 LV 199, MlklAdi-KO, ncd
- GSM8878819 LV 154, WT, hfd
- GSM8878820 LV 155, WT, hfd
- GSM8878821 LV 161, WT, hfd
- GSM8878822 LV 162, WT, hfd
- GSM8878823 LV 164, WT, hfd
- GSM8878824 LV 151, MlklAdi-KO, hfd
- GSM8878825 LV 152, MlklAdi-KO, hfd
- GSM8878826 LV 153, MlklAdi-KO, hfd
- GSM8878827 LV 156, MlklAdi-KO, hfd
- GSM8878828 LV 157, MlklAdi-KO, hfd
- GSE245987 Vascular endothelial S1PR2 aggravates cardiac ischemia/reperfusion injury through triggering mitochondrial dysfunctions and endothelial pyroptosis via RHO/ROCK1/DRP1/NLRP3 pathway [heart] 4 samples shares mitochondrial, dysfunction, functions
- GSE280273 A multi-omics census reveals miRNA miR-let-7 as instigator of paternal mitochondrial dysfunction and in epigenetic heredity of intergenerational metabolic decline [F0_Liv_eWAT_RNAseq] 36 samples shares mitochondrial, dysfunction
- GSE300519 Neurotoxicity, α-Synuclein Pathology, and Mitochondrial Dysfunction: A Comparative Study of Three Parkinson’s Disease Mouse Models 35 samples shares mitochondrial, dysfunction
- GSE186648 Skeletal muscle mRNA expression in 25 mice with or without genetic defects of mitochondrial fatty acid oxidation (Acadl and Acadvl knockout) using RNA sequencing. 25 samples shares mitochondrial, knockout
- GSE319401 Exercise Mitigates Cardiac Dysfunction Post-MI in Ovariectomized Mice via miR-21/Sox7-Mediated Suppression of Cardiac Fibroblast Activation 24 samples shares dysfunction, mitigates
- GSE315019 DTMB mitigates diet-induced metabolic dysfunction-associated steatohepatitis by targeting inflammation and lipid metabolism 22 samples shares dysfunction, mitigates
- GSE261940 Soluble ST2 induces cardiac contractile dysfunction by repressing mitochondrial electron transport chain genes in cardiomyocytes during fulminant myocarditis 20 samples shares mitochondrial, dysfunction
- GSE322779 Transcription factor TFEB antagonizes cardiac hypertrophy and failure by enhancing lysosomal capacity and mitochondrial function 16 samples shares mitochondrial, enhancing
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.