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Unraveling the Role of MIXL1 Activation in Endoderm Differentiation of Isogenic Human Induced Pluripotent Stem Cells [RNA-Seq]

GSE260553 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2024/08/01 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 15 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
15 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
MIXL1 activation in endoderm differentiation of human induced pluripotent stem cellsStem cell reports · 2025
Summary (written by the submitters)
Human induced pluripotent stem cells (hiPSC) possess the ability to differentiate into a multitude of tissue types but display heterogeneity in the propensity of differentiation into specific tissue lineages. An examination of isogenic hiPSC lines revealed variations in the endoderm propensity under directed differentiation conditions.
Read the full summary ↓
Characterization of the transcriptome and proteome of the hiPSC lines showed that MIXL1 activity at the early differentiation stage correlated with the efficacy of generating definitive endoderm and further differentiation into endoderm derivatives. Enforced expression of MIXL1 in the endoderm-incompetent hiPSCs enhanced the propensity of endoderm differentiation, suggesting that modulation of key drivers of lineage differentiation can re-wire hiPSC to the desired lineage propensity for stem cell products.
Published in
MIXL1 activation in endoderm differentiation of human induced pluripotent stem cells
Osteil P, Withey S, Santucci N et al. · Stem cell reports 2025 · PMID 40280138 · doi:10.1016/j.stemcr.2025.102482
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 GSE260553_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 PRJNA1082200 and SRA study SRP492529. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 15 more — browse all 15 samples with per-sample file links →

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