Impact of Maternal Immune Activation and Sex on Placental and Fetal Brain Cytokine and Gene Expression Profiles in a Preclinical Model of Neurodevelopmental Disorders
RNA-seq (gene expression) · mouse · 64 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
- Mus musculus (mouse)
- Samples
- 64 samples: 8 conditions, mostly with about 8 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
- Impact of maternal immune activation and sex on placental and fetal brain cytokine and gene expression profiles in a preclinical model of neurodevelopmental disordersJournal of neuroinflammation · 2024
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 GSE248222_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 PRJNA1043049 and SRA study SRP472983. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 64 samples.
How we read this: 8 replicated groups read from 64 sample titles; they account for 64 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.
- GSM7908646 Brain_Poly IC_F_repl1 Brain_Poly IC_F
- GSM7908647 Brain_Poly IC_F_repl2 Brain_Poly IC_F
- GSM7908648 Brain_Poly IC_F_repl3 Brain_Poly IC_F
- GSM7908649 Brain_Poly IC_F_repl4 Brain_Poly IC_F
- GSM7908650 Brain_Poly IC_F_repl5 Brain_Poly IC_F
- GSM7908651 Brain_Poly IC_F_repl6 Brain_Poly IC_F
- GSM7908652 Brain_Poly IC_F_repl7 Brain_Poly IC_F
- GSM7908653 Brain_Poly IC_F_repl8 Brain_Poly IC_F
- GSM7908654 Brain_Poly IC_M_repl1 Brain_Poly IC_M
- GSM7908655 Brain_Poly IC_M_repl2 Brain_Poly IC_M
- GSM7908656 Brain_Poly IC_M_repl3 Brain_Poly IC_M
- GSM7908657 Brain_Poly IC_M_repl4 Brain_Poly IC_M
- GSM7908658 Brain_Poly IC_M_repl5 Brain_Poly IC_M
- GSM7908659 Brain_Poly IC_M_repl6 Brain_Poly IC_M
- GSM7908660 Brain_Poly IC_M_repl7 Brain_Poly IC_M
- GSM7908661 Brain_Poly IC_M_repl8 Brain_Poly IC_M
- GSM7908662 Brain_Saline_F_repl1 Brain_Saline_F
- GSM7908663 Brain_Saline_F_repl2 Brain_Saline_F
- GSM7908664 Brain_Saline_F_repl3 Brain_Saline_F
- GSM7908665 Brain_Saline_F_repl4 Brain_Saline_F
- GSM7908666 Brain_Saline_F_repl5 Brain_Saline_F
- GSM7908667 Brain_Saline_F_repl6 Brain_Saline_F
- GSM7908668 Brain_Saline_F_repl7 Brain_Saline_F
- GSM7908669 Brain_Saline_F_repl8 Brain_Saline_F
- GSM7908670 Brain_Saline_M_repl1 Brain_Saline_M
- GSM7908671 Brain_Saline_M_repl2 Brain_Saline_M
- GSM7908672 Brain_Saline_M_repl3 Brain_Saline_M
- GSM7908673 Brain_Saline_M_repl4 Brain_Saline_M
- GSM7908674 Brain_Saline_M_repl5 Brain_Saline_M
- GSM7908675 Brain_Saline_M_repl6 Brain_Saline_M
- GSM7908676 Brain_Saline_M_repl7 Brain_Saline_M
- GSM7908677 Brain_Saline_M_repl8 Brain_Saline_M
- GSM7908678 Placenta_Poly IC_F_repl1 Placenta_Poly IC_F
- GSM7908679 Placenta_Poly IC_F_repl2 Placenta_Poly IC_F
- GSM7908680 Placenta_Poly IC_F_repl3 Placenta_Poly IC_F
- GSM7908681 Placenta_Poly IC_F_repl4 Placenta_Poly IC_F
- GSM7908682 Placenta_Poly IC_F_repl5 Placenta_Poly IC_F
- GSM7908683 Placenta_Poly IC_F_repl6 Placenta_Poly IC_F
- GSM7908684 Placenta_Poly IC_F_repl7 Placenta_Poly IC_F
- GSM7908685 Placenta_Poly IC_F_repl8 Placenta_Poly IC_F
+ 24 more — browse all 64 samples with per-sample file links →
- GSE291544 Roles of chromosomal and gonadal sex in the fetal and placental responses to maternal food restriction in mice [junctional zone/decidua] 60 samples shares placental, maternal
- GSE279351 Liver-specific inactivation of Cideb improves metabolic profiles and ameliorates steatohepatitis and fibrosis in animal models for MASH 45 samples shares activation, profiles
- GSE302070 Heterogeneity and Homogeneity in Treg responses to Interleukin-2 [RNAseq2: Differential activation of Immune cell types by IL2-Immunocytokines] 45 samples shares activation, cytokine
- GSE289595 A preclinical model of irritable bowel syndrome driven by CHRM3 activation 12 samples shares preclinical, activation
- GSE293592 Maternal immune activation delays DNA methylation and physiological maturation of cortical excitatory neurons 106 samples shares activation, maternal
- GSE314859 The degradation of maternal RNA-binding protein 4E-T regulates translational activation to ensure maternal-to-zygotic transition in mouse embryos 67 samples shares activation, maternal
- GSE255212 Transcriptomic Signatures of WNT-Driven Pathways and Granulosa Cell-Oocyte Interaction during Primordial Follicle Activation 762 samples shares activation
- GSE331176 Phagosome-mediated activation of STING by purine and pyrimidine-based bacterial cyclic dinucleotides 380 samples shares activation
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.