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Metabolic dysfunction-associated steatotic liver disease may increase intrahepatic interferon gene signatures in patients with chronic hepatitis B

GSE288077 Homo sapiens (human) RNA-seq (gene expression) 35 samples Submitted 2025/01/27 Platform GPL34284Platform GPL34290
At a glance

RNA-seq (gene expression) · human · 35 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
35 samples: 6 conditions, mostly with about 4 replicates eachGroups 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
Metabolic dysfunction-associated steatotic liver disease may increase intrahepatic interferon gene signatures in patients with chronic hepatitis BJournal of hepatology · 2025
Summary (written by the submitters)
As metabolic dysfunction-associated steatotic liver disease (MASLD) frequently co_x0002_occurs in patients with chronic hepatitis B (CHB), the interplay between these two common liver conditions remains largely unexplored. A recent study suggest that MASH comorbidity can reduce intrahepatic interferon pathway activity and macrophage gene signatures in HBeAg_x0002_negative chronic HBV (ENEG) patients, potentially contributing to persistent infection and fibrosis. However, it remains unclear whether this phenomenon also occurs in MASLD with CHB patients.
Published in
Metabolic dysfunction-associated steatotic liver disease may increase intrahepatic interferon gene signatures in patients with chronic hepatitis B
Han Y, Tang J, Hu P et al. · Journal of hepatology 2025 · PMID 39900119 · doi:10.1016/j.jhep.2025.01.036
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 GSE288077_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 PRJNA1216006 and SRA study SRP560035. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 4 replicates each
EM ×11 E ×7 HBV ×5 HBV-MASLD ×4 Control ×4 MASLD ×4

Supports a between-group comparison across 35 samples.

How we read this: 6 replicated groups read from 35 sample titles; they account for 35 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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