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MAPK1 mediates C/EBPβ phosphorylation to promote maturation and inhibit EMT process in hESC-derived hepatocytes [RNA-seq]

GSE304637 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/01/01 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 18 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
18 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.
Summary (written by the submitters)
Human pluripotent stem cell (hPSC)-derived hepatocytes exhibit progressive differentiation toward a phenotype resembling primary human hepatocytes (PHHs). Nevertheless, they still display persistent functional deficiencies in key mature hepatocyte properties, particularly in albumin secretion and ammonia metabolism, remain challenge compared to PHHs.
Read the full summary ↓
In this study, we elucidated a critical regulatory role of CCAAT/enhancer-binding protein beta (C/EBPβ) in hepatocyte maturation. Forced expression of C/EBPβ significantly enhanced hepatic functionality, as evidenced by increased albumin secretion, upregulation of hepatic-specific genes, and suppression of epithelial-mesenchymal transition (EMT) markers. Mechanistically, we found that C/EBPβ directly binded to the promoter regions of E-cadherin (E-cad) and carbamoyl phosphate synthetase 1 (CPS1), enhancing their transcriptional activation. Furthermore, we identified a functional interaction between C/EBPβ and MAPK signaling, where MAPK1-mediated phosphorylation at Thr-235 potentiated C/EBPβ's transactivation capacity, thereby promoting hepatocyte differentiation and maturation. Our findings establish C/EBPβ as a master regulator of hepatic maturation, orchestrating transcriptional networks and post-translational modification. These insights provide a theoretical framework for optimizing stem cell-derived hepatocyte differentiation, facilitating their applications in various fields.
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 GSE304637_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 PRJNA1301960 and SRA study SRP606721. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 18 more — browse all 18 samples with per-sample file links →

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