Atractylenolide III Alleviates Cisplatin-Induced Acute Liver Injury by Regulating Gut-Liver Axis Through Inhibiting ACT1/TRAF6/NF-κB-Mediated IL-17 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 × Liver_CON vs 3 × Liver_CPT vs 3 × Liver_AT3Groups 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 GSE341526_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 PRJNA1501948. 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.
- GSM9908401 Liver_CON_1 Liver_CON
- GSM9908402 Liver_CON_2 Liver_CON
- GSM9908403 Liver_CON_3 Liver_CON
- GSM9908404 Liver_CPT_1 Liver_CPT
- GSM9908405 Liver_CPT_2 Liver_CPT
- GSM9908406 Liver_CPT_3 Liver_CPT
- GSM9908407 Liver_AT3_1 Liver_AT3
- GSM9908408 Liver_AT3_2 Liver_AT3
- GSM9908409 Liver_AT3_3 Liver_AT3
- GSE334847 Hypoxic preconditioning attenuates renal ischemia–reperfusion injury by suppressing the IL-17A/IL-17RA/TRAF6 inflammatory axis 12 samples shares traf6, il-17, nf
- GSE266416 IL-17 links the tumor suppressor LKB1 to gastrointestinal inflammation and polyposis 33 samples shares il-17, nf
- GSE343043 Disease context dictates the cellular targets of IL-17 in inflammatory skin disease 29 samples shares il-17, nf
- GSE341985 Diseaase context dictates the cellular targets of IL-17 in inflammatory skin disease [2] 27 samples shares il-17, nf
- GSE218684 Ribosomal S6 kinase 1 regulates 'inflammaging' via the senescence secretome III. 22 samples shares iii, nf
- GSE237835 Inflammation-dependent differentiation of two distinct regulatory T cell populations in the visceral adipose tissue shapes systemic metabolism [RNA-seq III] 20 samples shares iii, nf
- GSE234595 TH17 cells converted into exTH17 cells sustain rheumatoid-like IL-17–independent inflammatory arthritis 16 samples shares il-17, nf
- GSE252888 Myeloid and lymphoid lineage C9orf72 regulates the IL-17 inflammatory axis in mice 12 samples shares il-17, nf
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.