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IGF2BP1 stabilizes OTX2 mRNA in an m6A-dependent manner to restrict human germ cell fate by repressing TFAP2C [RNA-seq]

GSE266418 Homo sapiens (human) RNA-seq (gene expression) 32 samples Submitted 2025/04/24 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 32 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
32 samples: 16 conditions, mostly in duplicateGroups 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)
N6-methyladenosine (m6A) is the most abundant and reversible modification on messenger RNAs. The differential m6A profiles in different cell types are installed by writers (such as METTL3) and removed by erasers (such as FTO). The m6A-modified RNAs are recognized by readers to trigger downstream regulation of RNA metabolism, eventually contributing to the regulation of cell fates.
Read the full summary ↓
Primordial germ cells (PGCs) are specified early during embryogenesis and establish the germ cell lineage for transmitting genetic and epigenetic information from parents to offspring. Defects in the establishment of germline may lead to infertility, germ cell tumors, and birth defects. Despite extensive research, the m6A-mediated epigenetic regulation of the specification of PGCs remains elusive. In this study, we discovered that knock-out of m6A writer or over-expression of erasers leads to increased percentage of human PGC-like cells (hPGCLCs) induced from embryonic stem cells. We identified the m6A reader IGF2BP1 as the key factor for restricting hPGCLC fate induction by stabilizing OTX2 mRNAs in an m6A-dependent manner. Moreover, we discovered that OTX2 suppresses TFAP2C during germ cell lineage specification. In summary, we characterized the m6A-IGF2BP1-OTX2-TFAP2C axis in restricting the specification of human germ cell fate.
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 GSE266418_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 PRJNA1107147 and SRA study SRP505444. Searching any of these in the dataset finder brings you back here.

Study design
16 conditions, mostly in duplicate
wild type_hESCs ×2 IGF2BP1-KO_hESCs ×2 OTX2-KO_hESCs ×2 OTX2-GFP-OE_hESCs ×2 wild type_endoderm ×2 IGF2BP1-KO_endoderm ×2 wild type_mesoderm ×2 IGF2BP1-KO_mesoderm ×2 +8 more

Supports a between-group comparison across 32 samples.

How we read this: 16 replicated groups read from 32 sample titles; they account for 32 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.