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IL15 — Driven Crosstalk Between Liver Sinusoidal Endothelial Cells and CD8⁺ Tissue-Resident Memory T Cells Promotes Inflammation in Alcohol-Associated Hepatitis

GSE327253 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2026/06/18 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
12 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
IL15-mediated crosstalk between LSECs and CD8⁺ tissue-resident memory T cells drives alcohol-associated hepatitisHepatology communications · 2026
Summary (written by the submitters)
Background: Alcohol-associated hepatitis (AH) is a severe inflammatory liver condition driven by dysregulated immune responses. CD8 T cells accumulate in the liver during AH, yet their functional role remains poorly defined. Approach & Results: Single-cell RNA sequencing (scRNA-seq) in a murine AH model revealed a distinct population of CD8 tissue-resident memory T cells (TRM) with heightened activation and proinflammatory cytokine production.
Read the full summary ↓
Analysis of human AH liver scRNA-seq data, along with immunohistochemistry validation, supported CD8 TRM enrichment in diseased tissue. IL15 emerged as a prominent pathway linked to TRM activation, and IL15 blockade reduced TRM abundance and attenuated EtOH/LPS-induced liver injury. Mechanistically, liver sinusoidal endothelial cells (LSECs) not only provided a structural niche for TRM retention but also amplified IL15 signaling. In vitro, co-culture experiments demonstrated that LSECs intensified activation in pre-stimulated CD8 T cells in a stimulus-dependent manner: under IL15 stimulation, LSECs boosted effector function without inducing cell death, whereas under TCR-stimulation, LSECs drove hyperactivation and activation-induced cell death. Bulk RNA-seq and phospho-protein analysis identified the PI3K–AKT pathway as a shared pathway enhanced by LSEC co-culture in activated CD8 T cells. These findings define a context-dependent mechanism in which LSECs promote IL15-driven signaling through AKT pathway amplification, promoting TRM persistence and inflammatory activity in AH. Conclusion: IL‑15–associated signaling within the hepatic microenvironment, shaped by LSEC–CD8 T cell interactions, promotes activation and persistence of CD8 TRM cells in alcohol‑associated hepatitis. Targeting IL15–LSEC–AKT axis may disrupt pathogenic TRM niches and represents a promising therapeutic strategy for severe AH.
Published in
IL15-mediated crosstalk between LSECs and CD8⁺ tissue-resident memory T cells drives alcohol-associated hepatitis
Zhong W, Ricci-Azevedo R, Wang S et al. · Hepatology communications 2026 · PMID 42275578 · doi:10.1097/HC9.0000000000000967
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 GSE327253_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1450053 and SRA study SRP689914. Searching any of these in the dataset finder brings you back here.

Samples in this study

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