GEO series
Maternal immune activation delays DNA methylation and physiological maturation of cortical excitatory neurons
GSE293592
Mus musculus (mouse)
DNA methylation
106 samples
Submitted 2026/07/27
Platform GPL21103Platform GPL19057Platform GPL24247
At a glance
DNA methylation · mouse · 106 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Mus musculus (mouse)
- Samples
- 106 samples: 16 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
- Maternal Immune Activation Disrupts Epigenomic and Functional Maturation of Cortical Excitatory NeuronsbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Elevated levels of maternal pro-inflammatory cytokines during gestation can disrupt offspring neural development, increasing the risk of neurodevelopmental disorders. We studied the effects of Poly(I:C)-induced maternal immune activation (PIC-MIA) during mid-gestation on the DNA methylation and transcriptome of developing cortical excitatory neurons.
Read the full summary ↓
PIC-MIA disrupted the developmental regulation of synapse-related genes and of genes implicated in autism spectrum disorders. Genomic regions that gain or lose DNA methylation during normal development were altered following PIC-MIA, including neurodevelopmental transcription factor binding sites. The DNA methylation and transcriptional changes were consistent with a delay in excitatory neuron maturation. Whole-cell recordings showed that PIC-MIA preferentially altered the physiological development of layer 5 excitatory neurons. Taken together, present results suggest that alterations in the epigenome, through the disruption of circuit formation, may drive the long-term consequences of maternal infection during gestation.
Published in
Lai CY, Arzavala J, Pinto-Duarte A et al.
· bioRxiv : the preprint server for biology 2025
· PMID 42255505
· doi:10.1101/2025.04.28.651094
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 GSE293592_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: Look for beta-value tables or raw IDAT files among the supplementary files.
Also filed as BioProject PRJNA1245333 and SRA study SRP576128. Searching any of these in the dataset finder brings you back here.
Study design
16 conditions, mostly with about 4 replicates each
RNA-seq, pyramidal neurons, P0, Saline, ×16
RNA-seq, pyramidal neurons, P0, Poly IC, ×15
RNA-seq, pyramidal neurons, P13, Saline, ×11
RNA-seq, pyramidal neurons, P13, Poly IC, ×10
MethylC-seq, pyramidal neurons, P0, Poly IC, ×6
MethylC-seq, pyramidal neurons, P13, Poly IC, ×6
MethylC-seq, pyramidal neurons, P13, Saline, ×6
RNA-seq, whole cortex, P70, Saline, ×6
+8 more
Supports a between-group comparison across 108 samples.
How we read this: 16 replicated groups read from 108 sample titles; they account for 108 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
- GSM8886314 RNA-seq, pyramidal neurons, E15, Saline, rep1 RNA-seq, pyramidal neur…
- GSM8886315 RNA-seq, pyramidal neurons, E15, Saline, rep2 RNA-seq, pyramidal neur…
- GSM8886316 RNA-seq, pyramidal neurons, E15, Saline, rep3 RNA-seq, pyramidal neur…
- GSM8886317 RNA-seq, pyramidal neurons, E15, Saline, rep4 RNA-seq, pyramidal neur…
- GSM8886318 RNA-seq, pyramidal neurons, E15, Poly IC, rep1 RNA-seq, pyramidal neur…
- GSM8886319 RNA-seq, pyramidal neurons, E15, Poly IC, rep2 RNA-seq, pyramidal neur…
- GSM8886320 RNA-seq, pyramidal neurons, E15, Poly IC, rep3 RNA-seq, pyramidal neur…
- GSM8886321 RNA-seq, pyramidal neurons, E15, Poly IC, rep4 RNA-seq, pyramidal neur…
- GSM8886322 RNA-seq, pyramidal neurons, E15, Poly IC, rep5 RNA-seq, pyramidal neur…
- GSM8886323 RNA-seq, pyramidal neurons, P0, Saline, rep2 RNA-seq, pyramidal neur…
- GSM8886324 RNA-seq, pyramidal neurons, P0, Saline, rep3 RNA-seq, pyramidal neur…
- GSM8886325 RNA-seq, pyramidal neurons, P0, Poly IC, rep1 RNA-seq, pyramidal neur…
- GSM8886326 RNA-seq, pyramidal neurons, P0, Poly IC, rep2 RNA-seq, pyramidal neur…
- GSM8886327 RNA-seq, pyramidal neurons, P0, Poly IC, rep3 RNA-seq, pyramidal neur…
- GSM8886328 RNA-seq, pyramidal neurons, P0, Poly IC, rep4 RNA-seq, pyramidal neur…
- GSM8886329 RNA-seq, pyramidal neurons, P0, Poly IC, rep5 RNA-seq, pyramidal neur…
- GSM8886330 RNA-seq, pyramidal neurons, P0, Poly IC, rep6 RNA-seq, pyramidal neur…
- GSM8886331 RNA-seq, pyramidal neurons, P0, Saline, rep1 RNA-seq, pyramidal neur…
- GSM8886332 RNA-seq, pyramidal neurons, P0, Saline, rep4 RNA-seq, pyramidal neur…
- GSM8886333 RNA-seq, pyramidal neurons, P0, Saline, rep5 RNA-seq, pyramidal neur…
- GSM8886334 RNA-seq, pyramidal neurons, P0, Saline, rep6 RNA-seq, pyramidal neur…
- GSM8886335 RNA-seq, pyramidal neurons, P0, Saline, rep7 RNA-seq, pyramidal neur…
- GSM8886336 RNA-seq, pyramidal neurons, P0, Saline, rep8 RNA-seq, pyramidal neur…
- GSM8886337 RNA-seq, pyramidal neurons, P0, Saline, rep9 RNA-seq, pyramidal neur…
- GSM8886338 RNA-seq, pyramidal neurons, P0, Saline, rep10 RNA-seq, pyramidal neur…
- GSM8886339 RNA-seq, pyramidal neurons, P0, Saline, rep11 RNA-seq, pyramidal neur…
- GSM8886340 RNA-seq, pyramidal neurons, P0, Saline, rep12 RNA-seq, pyramidal neur…
- GSM8886341 RNA-seq, pyramidal neurons, P0, Saline, rep13 RNA-seq, pyramidal neur…
- GSM8886342 RNA-seq, pyramidal neurons, P0, Saline, rep14 RNA-seq, pyramidal neur…
- GSM8886343 RNA-seq, pyramidal neurons, P0, Saline, rep15 RNA-seq, pyramidal neur…
- GSM8886344 RNA-seq, pyramidal neurons, P0, Saline, rep16 RNA-seq, pyramidal neur…
- GSM8886345 RNA-seq, pyramidal neurons, P0, Poly IC, rep7 RNA-seq, pyramidal neur…
- GSM8886346 RNA-seq, pyramidal neurons, P0, Poly IC, rep8 RNA-seq, pyramidal neur…
- GSM8886347 RNA-seq, pyramidal neurons, P0, Poly IC, rep9 RNA-seq, pyramidal neur…
- GSM8886348 RNA-seq, pyramidal neurons, P0, Poly IC, rep10 RNA-seq, pyramidal neur…
- GSM8886349 RNA-seq, pyramidal neurons, P0, Poly IC, rep11 RNA-seq, pyramidal neur…
- GSM8886350 RNA-seq, pyramidal neurons, P0, Poly IC, rep12 RNA-seq, pyramidal neur…
- GSM8886351 RNA-seq, pyramidal neurons, P0, Poly IC, rep13 RNA-seq, pyramidal neur…
- GSM8886352 RNA-seq, pyramidal neurons, P0, Poly IC, rep14 RNA-seq, pyramidal neur…
- GSM8886353 RNA-seq, pyramidal neurons, P0, Poly IC, rep15 RNA-seq, pyramidal neur…
+ 66 more — browse all 106 samples with per-sample file links →
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Share this dataset
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.