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Hepatocytes differentiate into intestinal epithelial cells through a hybrid epithelial/mesenchymal cell state in culture II

GSE248554 Mus musculus (mouse) RNA-seq (gene expression) 49 samples Submitted 2024/04/02 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 49 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
Mus musculus (mouse)
Samples
49 samples: 16 conditions, mostly in triplicateGroups 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
Hepatocytes differentiate into intestinal epithelial cells through a hybrid epithelial/mesenchymal cell state in cultureNature communications · 2024
Summary (written by the submitters)
We found that hepatocytes isolated from adult mouse livers can dedifferentiate into progenitor-like cells and exhibit a hybrid epithelial/mesenchymal phenotype in monolayer culture. dediHeps can re-differentiate into mature hepatocytes by forming aggregates and fetal intestinal progenitor cells (FIPCs) by forming organoids in three-dimensional culture.
Read the full summary ↓
We conducted RNA-seq analyses to investigate the characteristincs of hepatocytes, dediHeps, dediHep aggregates, dediHep derived spherical organoids, dediHep derived budding organoids, FIPC derived spherical organoids, intestinal stem cell (ISC) derived budding organoids, and CLiP cells (Katsuda, 2016).
Published in
Hepatocytes differentiate into intestinal epithelial cells through a hybrid epithelial/mesenchymal cell state in culture
Miura S, Horisawa K, Iwamori T et al. · Nature communications 2024 · PMID 38750036 · doi:10.1038/s41467-024-47869-2
This dataset
Open GSE248554 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE248554_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1044777 and SRA study SRP474011. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38750036) ↗
Study design
16 conditions, mostly in triplicate
monolayer cultured dediHeps, ×5 budding organoid (BO) cultured intestinal pro… ×4 freshly isolated hepatocytes, ×3 monolayer cultured hepatocytes for 3 hs, ×3 monolayer cultured hepatocytes for 1 day, ×3 monolayer cultured hepatocytes for 2 days, ×3 monolayer cultured hepatocytes for 4 days, ×3 monolayer cultured hepatocytes for 7 days, ×3 +8 more

Supports a between-group comparison across 49 samples.

How we read this: 16 replicated groups read from 49 sample titles; they account for 49 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

+ 9 more — browse all 49 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.