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AAV capsid prioritization in machine-perfused normal and steatotic human livers

GSE228000 Homo sapiens (human) Single-cell RNA-seq 34 samples Submitted 2024/11/12 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 34 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
Homo sapiens (human)
Samples
34 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
AAV capsid prioritization in normal and steatotic human livers maintained by machine perfusionNature biotechnology · 2025
Summary (written by the submitters)
Adeno-associated virus (AAV) vectors generated with five different capsids were intravenously injected into human livers undergoing normothermic machine perfusion (NMP). To assess the tropism of the five AAV vectors in the human livers, single-cell suspensions of hepatocytes and non-parenchymal cells (NPCs) were analyzed by single-cell RNA sequencing (scRNAseq). Differentially expressed genes were identified in AAV vector-transduced hepatocytes and unique cell populations.
Published in
AAV capsid prioritization in normal and steatotic human livers maintained by machine perfusion
Kim JJ, Kurial SNT, Choksi PK et al. · Nature biotechnology 2025 · PMID 39881029 · doi:10.1038/s41587-024-02523-6
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 GSE228000_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 PRJNA947648 and SRA study SRP428835. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 34 more — browse all 34 samples with per-sample file links →

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