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JAX Study 13- RNA-seq of male KOLF2.2J hiPSC-derived endoderm and mesoderm homozygous null for ten different transcription factors

GSE327332 Homo sapiens (human) RNA-seq (gene expression) 45 samples Submitted 2026/04/09 Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 45 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
45 samples: 45 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
This study aims to phenotype iPSC-derived early endoderm and mesoderm that contain homozygous null alleles for the following transcription factors: CITED1, HOXB8, GATA6, GSC, HES6, SP5, TBXT, LHX1, SOX17 and MSX1. Null alleles were generated using insertion of a premature termination codon with frameshift (PTC+1) in the case of CITED1, HOXB8, GATA6, SP5, TBXT, LHX1 and SOX17 or full protein coding region deletion (KO) for HES6 and MSX1.
Read the full summary ↓
RNA-seq data was generated after 5 days of initiating differentiation from iPSCs. This analysis allowed the investigation of early embryonic development, cell fate mapping, and lineage analysis.
This dataset
Open GSE327332 in finder → Find more human 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 GSE327332_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 PRJEB107908 and SRA study ERP188766. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
45 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 45 sample titles: 45 distinct titles with little repetition. 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

+ 5 more — browse all 45 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.