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Probing liver injury induced by thioacetamide in human in vitro pooled hepatocyte experiments

GSE250139 Homo sapiens (human) RNA-seq (gene expression) 75 samples Submitted 2024/04/03 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 75 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
Homo sapiens (human)
Samples
75 samples: 75 × 8992-RPGroups 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
Probing Liver Injuries Induced by Thioacetamide in Human In Vitro Pooled Hepatocyte ExperimentsInternational journal of molecular sciences · 2024
Summary (written by the submitters)
In this study we tested the ability to predict liver injury from in vitro human pooled hepatocyte data after exposure to thioacetamide (24 hour). We selected thioacetamide, a compound extensively used in various studies for its ability to cause liver injury.
Published in
Probing Liver Injuries Induced by Thioacetamide in Human In Vitro Pooled Hepatocyte Experiments
Goel H, Printz RL, Pannala VR et al. · International journal of molecular sciences 2024 · PMID 38542239 · doi:10.3390/ijms25063265
This dataset
Open GSE250139 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE250139_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1052094 and SRA study SRP477859. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38542239) ↗
Study design
75 × 8992-RP

Supports a between-group comparison across 75 samples.

How we read this: 1 replicated groups read from 75 sample titles; they account for 75 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

+ 35 more — browse all 75 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.