p38 delta systemic genetic deletion mitigates anthracycline cardiotoxicity in female mice
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 × DOXF vs 5 × SGroups 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 GSE308615_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 PRJNA1331723 and SRA study SRP622487. 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.
- GSM9249217 DOXF1 DOXF
- GSM9249218 DOXF2 DOXF
- GSM9249219 DOXF3 DOXF
- GSM9249220 DOXF4 DOXF
- GSM9249221 DOXF5 DOXF
- GSM9249222 S06807 S
- GSM9249223 S06808 S
- GSM9249224 S06846 S
- GSM9249225 S06857 S
- GSM9249226 S06858 S
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- GSE318028 Pharmacological inhibition of FKBP51 mitigates early life adversity-induced social deficits 246 samples shares mitigates
- GSE295428 Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages 229 samples shares systemic
- GSE302188 Multi-omics analysis highlights the link of aging-related cognitive decline with systemic inflammation and alterations of tissue-maintenance 165 samples shares systemic
- GSE293819 Monitoring systemic immune responses to checkpoint inhibition in breast cancer reveals host responses and mechanisms of resistance 142 samples shares systemic
- GSE330865 Multiorgan transcriptomics and circulating extracellular vesicle profiling reveal age-dependent systemic vulnerability to isoflurane anesthesia and surgery 120 samples shares systemic
- GSE325237 Higher basal tumor immune activity coupled with a systemic immune response improves liver cancer outcomes 116 samples shares systemic
- GSE290031 Very long-chain ceramides in skeletal muscle associate with systemic insulin resistance independent of obesity 92 samples shares systemic
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.