Pharmacodynamic evaluation of MgIG in animal models of acute and chronic alcoholic fatty liver
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 × C vs 3 × A-C vs 3 × MGroups 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 GSE284311_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 PRJNA1198510 and SRA study SRP551542. 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.
- GSM8682177 C-2 C
- GSM8682178 C-3 C
- GSM8682179 C-4 C
- GSM8682180 A-C-6 A-C
- GSM8682181 A-C-9 A-C
- GSM8682182 A-C-12 A-C
- GSM8682183 M-24 M
- GSM8682184 M-26 M
- GSM8682185 M-27 M
- GSE250389 Transcriptomic analyses of mouse livers from an 18-month oral carcinogenicity study of HFPO-DA with a 9-month chronic toxicity phase 92 samples shares chronic, liver
- GSE228579 Chronic stress disrupts hepatic homeostasis and accelerates liver cancer progression through ADRB2 signaling 66 samples shares chronic, liver
- GSE314324 Transcriptomic responses to acute or chronic ethanol exposure observed across five brain regions in male mice 62 samples shares chronic, acute
- GSE276647 Gene expression profile of microglia following traumatic brain injury and nasal anti-CD3 treatment at acute and chronic timepoints 54 samples shares chronic, acute
- GSE302604 Chronic intermittent hypoxia mimicking sleep apnea reshapes the liver circadian metabolic architecture 36 samples shares chronic, liver
- GSE284012 An early precursor CD8 T cell that adapts to acute or chronic viral infection [bulk RNA-seq] 29 samples shares chronic, acute
- GSE239287 Single-cell transcriptome sequencing of macrophages in acute kidney injury(AKI) to chronic kidney dieases(CKD) 17 samples shares chronic, acute
- GSE254360 Single-nucleus transcriptomic analysis of the amygdala of mice in acute and chronic neuropathic pain 15 samples shares chronic, acute
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.