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Gene expression data from acetaminophen-induced toxicity in wild-type and Gα12 knockout mice

GSE173595 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/04/21 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × Gα12KO+APAP, live vs 3 × Gα12KO+veh, live vs 3 × WT+APAP, live vs 3 × WT+veh, liveGroups 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
Gα(12) overexpression in hepatocytes by ER stress exacerbates acute liver injury via ROCK1-mediated miR-15a and ALOX12 dysregulationTheranostics · 2022
Summary (written by the submitters)
Gα12 is an alpha subunit of heterotrimeric G proteins that activates the downstream pathways from G protein-coupled receptor (GPCR) signals. Gα12 overexpression enhances hepatocellular carcinoma (HCC) malignancy, promoting cancer migration and microvascular invasion. Also, it activates hepatic stellate cells (HSCs) and thereby facilitates the progression of liver fibrosis.
Read the full summary ↓
However, upregulated Gα12 in hepatocytes by acetaminophen (APAP) mechanically has been scarcely explored. This study provides an evaluation of changes in gene expression using liver samples obtained from WT and Gα12KO mice treated with APAP.
Published in
Gα(12) overexpression in hepatocytes by ER stress exacerbates acute liver injury via ROCK1-mediated miR-15a and ALOX12 dysregulation
Tak J, Kim YS, Kim TH et al. · Theranostics 2022 · PMID 35198058 · doi:10.7150/thno.67722
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE173595_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA726239 and SRA study SRP317518. Searching any of these in the dataset finder brings you back here.

Study design
3 × Gα12KO+APAP, live vs 3 × Gα12KO+veh, live vs 3 × WT+APAP, live vs 3 × WT+veh, live

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.

Samples in this study
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