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IL-8+ neutrophils drive inexorable inflammation in severe alcohol-associated hepatitis [scRNA-seq]

GSE255772 Homo sapiens (human) Single-cell RNA-seq 13 samples Submitted 2024/05/13 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 13 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
13 samples: 5 × Liver_sAH vs 4 × WBC_sAH vs 3 × WBC_ACGroups 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
IL-8+ neutrophils drive inexorable inflammation in severe alcohol-associated hepatitisThe Journal of clinical investigation · 2024
Summary (written by the submitters)
Patients with alcohol-associated liver cirrhosis (AC) may develop severe alcohol-associated hepatitis (sAH), but the mechanisms underlying the transition from AC to sAH still remain unclear. We performed single cell RNA (scRNA) sequencing analysis of livers and peripheral white blood cells (WBC) from sAH and AC patients. We found that the significant difference between sAH and AC was that sAH livers had a markedly higher number of neutrophil subsets than AC livers.
Read the full summary ↓
Thus, we further focused on the neutrophil cluster and found two distinct sAH-specific liver neutrophils are notably characterized by heightened expression of CXCL8 (IL-8) defined as IL-8+ neutrophils blood. Our current study has demonstrated that sAH had self-sustaining IL-8+ neutrophil accumulation that likely drives inexorable liver inflammation and failure in sAH. Based on our study, we believe targeting IL-8+ neutrophils is a promising therapeutic strategy for sAH.
Published in
IL-8+ neutrophils drive inexorable inflammation in severe alcohol-associated hepatitis
Guan Y, Peiffer B, Feng D et al. · The Journal of clinical investigation 2024 · PMID 38502218 · doi:10.1172/JCI178616
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 GSE255772_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 PRJNA1076500 and SRA study SRP489753. Searching any of these in the dataset finder brings you back here.

Study design
5 × Liver_sAH vs 4 × WBC_sAH vs 3 × WBC_AC

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 13 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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