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JAX Study 5- RNA-seq of male KOLF2.2J hiPSC-derived cortical brain organoids and extra-embryonic lineages homozygous null for nine different transcription factors and one RNA splicing factor

GSE287844 Homo sapiens (human) RNA-seq (gene expression) 48 samples Submitted 2025/02/03 Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 48 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
48 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)
This study aimed to phenotype iPSC-derived cortical brain organoids that contain homozygous null alleles for transcription factors SIX3 and NR2F1 and to phenotype iPSC-derived extra-embryonic cell lineages that contain homozygous null alleles for transcription factors HEY1, HOPX, MAFF, TWIST2, DLX4, DLX5, and DLX6 and the splicing factor MBNL2. Null alleles were generated by the insertion of a premature termination codon with frameshift (PTC+1). This analysis provided insight into the impact of loss of function for these transcription factors in the respective cell lineages.
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 GSE287844_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 PRJEB82526 and SRA study ERP166212. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 48 more — browse all 48 samples with per-sample file links →

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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.