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A Unique Pediatric Activated T-cell Acute Liver Failure Endotype Characterized by Perforin and Interferon Gamma Expressing Circulating CD8 Tissue Resident Memory T-cells.

GSE307970 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2026/03/31 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 10 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
10 samples
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
CD8 TRM-like T cells expressing perforin and IFN-γ define a pediatric activated T-cell acute liver failure endotypeHepatology communications · 2026
Summary (written by the submitters)
Activated T-cell Pediatric Acute Liver Failure (TC-PALF) is the most common cause of non-acetaminophen PALF with poor transplant-free survival. Livers in TC-PALF are infiltrated by effector cytotoxic T lymphocytes with markers of tissue-resident memory function (CD8 Trm) and an interferon gamma (IFNg) transcriptional signature.
Read the full summary ↓
The PALF-Immune Response Network (PALF-IRN) and the prospective TReatment for ImmUne Mediated PathopHysiology (TRIUMPH) clinical trial (NCT04862221) aim to characterize the TC-PALF immune pathology and utility of T-cell directed therapy to improve transplant free survival.
Published in
CD8 TRM-like T cells expressing perforin and IFN-γ define a pediatric activated T-cell acute liver failure endotype
Diamond T, Chapin CA, Diorio CJ et al. · Hepatology communications 2026 · PMID 41921202 · doi:10.1097/HC9.0000000000000926
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 GSE307970_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 PRJNA1327906 and SRA study SRP619903. Searching any of these in the dataset finder brings you back here.

Samples in this study

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