Modeling Mowat-Wilson Syndrome with patient iPSCs reveals transcriptional and phenotypic defects in neural progenitors
RNA-seq (gene expression) · human · 24 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
- 24 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.
- Paper
- Modeling Mowat-Wilson syndrome with patient iPSCs reveals transcriptional and phenotypic defects in neural progenitorsNeurobiology of disease · 2026
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE311389_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1369382 and SRA study SRP648833. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 6 replicated groups read from 24 sample titles; they account for 24 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.
- GSM9324377 iPSC-derived neural progenitors, line C1, replicate 1 iPSC-derived neural pro…
- GSM9324378 iPSC-derived neural progenitors, line C1, replicate 2 iPSC-derived neural pro…
- GSM9324379 iPSC-derived neural progenitors, line C1, replicate 3 iPSC-derived neural pro…
- GSM9324380 iPSC-derived neural progenitors, line C1, replicate 4 iPSC-derived neural pro…
- GSM9324381 iPSC-derived neural progenitors, line C2, replicate 1 iPSC-derived neural pro…
- GSM9324382 iPSC-derived neural progenitors, line C2, replicate 2 iPSC-derived neural pro…
- GSM9324383 iPSC-derived neural progenitors, line C2, replicate 3 iPSC-derived neural pro…
- GSM9324384 iPSC-derived neural progenitors, line C2, replicate 4 iPSC-derived neural pro…
- GSM9324385 iPSC-derived neural progenitors, line P1, replicate 1 iPSC-derived neural pro…
- GSM9324386 iPSC-derived neural progenitors, line P1, replicate 2 iPSC-derived neural pro…
- GSM9324387 iPSC-derived neural progenitors, line P1, replicate 3 iPSC-derived neural pro…
- GSM9324388 iPSC-derived neural progenitors, line P1, replicate 4 iPSC-derived neural pro…
- GSM9324389 iPSC-derived neural progenitors, line P2, replicate 1 iPSC-derived neural pro…
- GSM9324390 iPSC-derived neural progenitors, line P2, replicate 2 iPSC-derived neural pro…
- GSM9324391 iPSC-derived neural progenitors, line P2, replicate 3 iPSC-derived neural pro…
- GSM9324392 iPSC-derived neural progenitors, line P2, replicate 4 iPSC-derived neural pro…
- GSM9324393 iPSC-derived neural progenitors, line P3, replicate 1 iPSC-derived neural pro…
- GSM9324394 iPSC-derived neural progenitors, line P3, replicate 2 iPSC-derived neural pro…
- GSM9324395 iPSC-derived neural progenitors, line P3, replicate 3 iPSC-derived neural pro…
- GSM9324396 iPSC-derived neural progenitors, line P3, replicate 4 iPSC-derived neural pro…
- GSM9324397 iPSC-derived neural progenitors, line P4, replicate 1 iPSC-derived neural pro…
- GSM9324398 iPSC-derived neural progenitors, line P4, replicate 2 iPSC-derived neural pro…
- GSM9324399 iPSC-derived neural progenitors, line P4, replicate 3 iPSC-derived neural pro…
- GSM9324400 iPSC-derived neural progenitors, line P4, replicate 4 iPSC-derived neural pro…
- GSE270946 Effect of IVNS1ABP mutation, knockout on gene expression during iPSCs differentiation to Neural Progenitors 18 samples shares progenitors, neural, ipscs
- GSE305132 Single-Cell Multiomic Atlas of Human Cortical Development in Down Syndrome - Neural Progenitors in vitro - Treatment with Antisense Oligonucleotides for PKNOX1, BACH1 and GABPA (Bulk RNA-seq Dataset) 68 samples shares progenitors, neural
- GSE315664 Gene expression profile of antisense oligonucleotide-treated Neural Progenitors from controls and Schinzel-Giedion Syndrome cases 60 samples shares progenitors, neural
- GSE243579 iPSC-based modeling of preeclampsia identifies defects in extravillous trophoblast differentiation 144 samples shares modeling, defects
- GSE337839 CRISPR activation of DLX5 drives neural progenitors to the GnRH cell fate 29 samples shares progenitors, neural
- GSE331395 Replicative senescence in neural progenitors induces senescence-associated markers in midbrain organoids 24 samples shares progenitors, neural
- GSE302350 KMT2D-deficiency destabilizes lineage progression in immature neural progenitors 16 samples shares progenitors, neural
- GSE297335 ABHD18 is essential for cardiolipin remodeling and its inhibition restores mitochondrial function in Barth Syndrome [RNA-Seq] 18 samples shares modeling
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.