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A human iPSC-derived multilineage liver organoid model containing Kupffer cells to study human sepsis-associated liver dysfunction

GSE233539 Homo sapiens (human) RNA-seq (gene expression) 22 samples Submitted 2024/03/01 Platform GPL17303
At a glance

RNA-seq (gene expression) · human · 22 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
22 samples: 10 conditions, mostly in duplicateGroups 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
Integration of Kupffer cells into human iPSC-derived liver organoids for modeling liver dysfunction in sepsisCell reports · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Integration of Kupffer cells into human iPSC-derived liver organoids for modeling liver dysfunction in sepsis
Li Y, Nie Y, Yang X et al. · Cell reports 2024 · PMID 38451817 · doi:10.1016/j.celrep.2024.113918
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 GSE233539_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 PRJNA976626 and SRA study SRP439606. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in duplicate
EMP-KC, ×4 KuLOs, Control, ×2 KuLOs, septic, ×2 KuLOs, recovery D1, ×2 KuLOs, recovery D2, ×2 KuLOs, recovery D3, ×2 hiPSC, ×2 hiPSC-EMP, ×2 +2 more

Supports a between-group comparison across 22 samples.

How we read this: 10 replicated groups read from 22 sample titles; they account for 22 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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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.