Ketogenesis promotes leukemia development by inhibiting ferroptosis in leukemic stem cells [RNA-Seq]
RNA-seq (gene expression) · mouse · 9 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
- 9 samples: 3 × LICs, WT vs 3 × LICs, KO vs 3 × LICs, KO+BHBGroups 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
- A ketogenesis-ferroptosis axis maintains leukemic stem cell survival and leukemia progressionCell stem cell · 2026
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 GSE325782_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 PRJNA1441599 and SRA study SRP686038. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.
- GSM9613272 LICs, WT1 LICs, WT
- GSM9613273 LICs, WT2 LICs, WT
- GSM9613274 LICs, WT3 LICs, WT
- GSM9613275 LICs, KO1 LICs, KO
- GSM9613276 LICs, KO2 LICs, KO
- GSM9613277 LICs, KO3 LICs, KO
- GSM9613278 LICs, KO+BHB1 LICs, KO+BHB
- GSM9613279 LICs, KO+BHB2 LICs, KO+BHB
- GSM9613280 LICs, KO+BHB3 LICs, KO+BHB
- GSE276137 The ac4C acetyltransferase Nat10 promotes RNA stability to support hematopoietic stem cell fate [RNA-seq-32D] 24 samples shares promotes, rna-seq, stem
- 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 ferroptosis, promotes, rna-seq
- GSE303699 Autoimmune Disease Risk Gene ANKRD55 Promotes Th17 Effector Function Through Metabolic Modulation [RNA-Seq] 60 samples shares promotes, rna-seq
- GSE278050 KLF13 promotes SLE Pathogenesis by modifying chromatin accessibility of key proinflammatory cytokine genes [RNA-seq] 42 samples shares promotes, rna-seq
- GSE288348 Disease-associated astrocyte epigenetic memory promotes CNS pathology [sgEp300, sgACLY astrocytes bulk RNA-Seq dataset] 18 samples shares promotes, rna-seq
- GSE230838 Loss of cisPTase function in the liver promotes a highly penetrant form of fatty liver disease that rapidly transitions to hepatocellular carcinoma [RNA-seq] 17 samples shares promotes, rna-seq
- GSE310612 Astrocytic FABP5 drives cerebellar white matter dysfunction in multiple system atrophy by promoting TNF signaling and ferroptosis 15 samples shares ferroptosis, stem
- GSE300299 Chikungunya virus persists in joint-associated macrophages and promotes chronic disease in mice [scRNA-seq] 12 samples shares promotes, rna-seq
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.