Identification of lipid senolytics targeting senescent cells through ferroptosis induction
RNA-seq (gene expression) · mouse · 45 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
- 45 samples: 15 conditions, mostly in triplicateGroups 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
- Identification of lipid senolytics targeting senescent cells through ferroptosis inductionbioRxiv : the preprint server for biology · 2024
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 GSE278372_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 PRJNA1166889 and SRA study SRP535585. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 45 samples.
How we read this: 15 replicated groups read from 45 sample titles; they account for 45 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.
- GSM8545486 WT_EtOH_1 WT_EtOH
- GSM8545487 WT_ESA_1 WT_ESA
- GSM8545488 WT_ESA_Fer_1 WT_ESA_Fe
- GSM8545489 WT_ESA_Me_1 WT_ESA_Me
- GSM8545490 WT_ESA_Me_Fer_1 WT_ESA_Me_Fe
- GSM8545491 WT_EtOH_2 WT_EtOH
- GSM8545492 WT_ESA_2 WT_ESA
- GSM8545493 WT_ESA_Fer_2 WT_ESA_Fe
- GSM8545494 WT_ESA_Me_2 WT_ESA_Me
- GSM8545495 WT_ESA_Me_Fer_2 WT_ESA_Me_Fe
- GSM8545496 WT_EtOH_3 WT_EtOH
- GSM8545497 WT_ESA_3 WT_ESA
- GSM8545498 WT_ESA_Fer_3 WT_ESA_Fe
- GSM8545499 WT_ESA_Me_3 WT_ESA_Me
- GSM8545500 WT_ESA_Me_Fer_3 WT_ESA_Me_Fe
- GSM8545501 H2O2_EtOH_1 H2O2_EtOH
- GSM8545502 H2O2_ESA_1 H2O2_ESA
- GSM8545503 H2O2_ESA_Fer_1 H2O2_ESA_Fe
- GSM8545504 H2O2_ESA_Me_1 H2O2_ESA_Me
- GSM8545505 H2O2_ESA_Me_Fer_1 H2O2_ESA_Me_Fe
- GSM8545506 H2O2_EtOH_2 H2O2_EtOH
- GSM8545507 H2O2_ESA_2 H2O2_ESA
- GSM8545508 H2O2_ESA_Fer_2 H2O2_ESA_Fe
- GSM8545509 H2O2_ESA_Me_2 H2O2_ESA_Me
- GSM8545510 H2O2_ESA_Me_Fer_2 H2O2_ESA_Me_Fe
- GSM8545511 H2O2_EtOH_3 H2O2_EtOH
- GSM8545512 H2O2_ESA_3 H2O2_ESA
- GSM8545513 H2O2_ESA_Fer_3 H2O2_ESA_Fe
- GSM8545514 H2O2_ESA_Me_3 H2O2_ESA_Me
- GSM8545515 H2O2_ESA_Me_Fer_3 H2O2_ESA_Me_Fe
- GSM8545516 ET_EtOH_1 ET_EtOH
- GSM8545517 ET_ESA_1 ET_ESA
- GSM8545518 ET_ESA_Fer_1 ET_ESA_Fe
- GSM8545519 ET_ESA_Me_1 ET_ESA_Me
- GSM8545520 ET_ESA_Me_Fer_1 ET_ESA_Me_Fe
- GSM8545521 ET_EtOH_2 ET_EtOH
- GSM8545522 ET_ESA_2 ET_ESA
- GSM8545523 ET_ESA_Fer_2 ET_ESA_Fe
- GSM8545524 ET_ESA_Me_2 ET_ESA_Me
- GSM8545525 ET_ESA_Me_Fer_2 ET_ESA_Me_Fe
+ 5 more — browse all 45 samples with per-sample file links →
- GSE302447 A multi-functional oral small molecule targeting energy and lipid metabolism as a treatment for diet-induced obesity 67 samples shares targeting, lipid
- GSE292815 Diet-induced phospholipid remodeling dictates ferroptosis sensitivity and tumorigenesis in the pancreas 39 samples shares ferroptosis, lipid
- GSE315019 DTMB mitigates diet-induced metabolic dysfunction-associated steatohepatitis by targeting inflammation and lipid metabolism 22 samples shares targeting, lipid
- GSE302441 A multi-functional oral small molecule targeting energy and lipid metabolism as a treatment for diet-induced obesity [Exp 2] 16 samples shares targeting, lipid
- GSE304787 Therapeutic targeting of lipidated amino acid deficiency ameliorates MASH via a PPARα/CCL2 axis 14 samples shares targeting, lipid
- 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, lipid
- GSE304566 Combinatorial targeting of the miR-379/miR-410 cluster normalizes glucose and lipid homeostasis in male models of diabetes and obesity 11 samples shares targeting, lipid
- GSE273647 Targeting nucleoporin 214 selectively eliminates leukemia stem cells by inducing ferroptosis [RNA-seq 3] 10 samples shares ferroptosis, targeting
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.