Thymosin β4 alleviates sepsis-associated acute kidney injury by suppressing MAPK signaling pathway
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 × CTRL vs 3 × LPS vs 3 × LTGroups 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.
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 GSE328666_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 PRJNA1456092 and SRA study SRP693611. 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.
- GSM9686958 CTRL1 CTRL
- GSM9686959 CTRL2 CTRL
- GSM9686960 CTRL3 CTRL
- GSM9686961 LPS1 LPS
- GSM9686962 LPS2 LPS
- GSM9686963 LPS3 LPS
- GSM9686964 LT1 LT
- GSM9686965 LT2 LT
- GSM9686966 LT3 LT
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- GSE213473 84-B10 alleviates cisplatin-induced acute kidney injury in mice 12 samples shares alleviates, kidney, injury, acute
- GSE297679 Elevated FTO alleviates sepsis-induced acute kidney injury by regulating macrophage inflammatory phenotypes [MeRIP-seq] 12 samples shares alleviates, kidney, injury, acute
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- GSE333173 Ketogenic Diet Alleviates Acute Radiation-Induced Intestinal Injury through JAK2/STAT3/RORγt/IL-17A Signaling Pathway via Gut Microbiome 9 samples shares alleviates, injury, acute
- GSE330842 GALNT3-deletion suppresses inflammation-associated fibrosis to ameliorates chronic kidney disease via inactivating the TNF-α/NF-kB/MAPK signaling pathway 9 samples shares mapk, kidney
- GSE239772 Persistent injury-induced mtDNA mutations compromise organ fitness by suppressing nucleotide biosynthesis 24 samples shares suppressing, injury
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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.