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OCIAD2 promotes epithelial to mesenchymal transition during mesendoderm specification of human pluripotent stem cells

GSE307502 Homo sapiens (human) RNA-seq (gene expression) 21 samples Submitted 2026/08/03 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 21 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
21 samples: 6 conditions, mostly with about 4 replicates eachGroups 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)
The mitochondrial protein OCIAD2 is misexpressed in several cancers and neurodegenerative diseases. However, insights into its physiological role, particularly in the context of stem cell differentiation, remain unexplored. Our analyses report that OCIAD2 is expressed in undifferentiated human embryonic stem cells (hESCs) and is upregulated upon mesendoderm specification.
Read the full summary ↓
Using bulk transcriptome analysis of CRISPR-Cas9 based OCIAD2 knockout and constitutive OCIAD2 expressing hESC lines, we identify that OCIAD2 modulation does not affect stem cell identity but alters their mesendoderm differentiation potential. Our results highlight that OCIAD2 regulates TGFβ, AKT, BMP signalling pathways to promote epithelial to mesenchymal transition during early mesendoderm specification of pluripotent stem cells.
This dataset
Open GSE307502 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 GSE307502_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 PRJNA1321888 and SRA study SRP618432. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly with about 4 replicates each
BJNHem20 cells, WT, day 2, ×4 BJNHem20 cells, OCIAD2 CRISPR 33 (KO), day 2, ×4 BJNHem20 cells, OCIAD2 OV, day 2, ×4 BJNHem20 cells, WT, day 0, ×3 BJNHem20 cells, OCIAD2 CRISPR 33 (KO), day 0, ×3 BJNHem20 cells, OCIAD2 OV, day 0, ×3

Supports a between-group comparison across 21 samples.

How we read this: 6 replicated groups read from 21 sample titles; they account for 21 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
Datasets on a similar topic

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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.