Fetal brain response to maternal inflammation requires microglia [Maternal_Inflammation]
RNA-seq (gene expression) · mouse · 26 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
- 26 samples: 9 conditions, mostly in triplicateGroups 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
- Fetal brain response to maternal inflammation requires microgliaDevelopment (Cambridge, England) · 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 GSE225430_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 PRJNA935692 and SRA study SRP423030. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 9 replicated groups read from 26 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.
- GSM7048544 E13, microglia, nacl, replicate 1 E13, microglia, nacl,
- GSM7048545 E13, microglia, nacl, replicate 2 E13, microglia, nacl,
- GSM7048546 E13, microglia, nacl, replicate 3 E13, microglia, nacl,
- GSM7048547 E13, microglia, MIA, replicate 1 E13, microglia, MIA,
- GSM7048548 E13, microglia, MIA, replicate 2 E13, microglia, MIA,
- GSM7048549 E13, microglia, MIA, replicate 3 E13, microglia, MIA,
- GSM7048550 E15, microglia, nacl, replicate 1 E15, microglia, nacl,
- GSM7048551 E15, microglia, nacl, replicate 2 E15, microglia, nacl,
- GSM7048552 E15, microglia, nacl, replicate 3 E15, microglia, nacl,
- GSM7048553 E15, microglia, MIA, replicate 1 E15, microglia, MIA,
- GSM7048554 E15, microglia, MIA, replicate 2 E15, microglia, MIA,
- GSM7048555 E15, microglia, MIA, replicate 3 E15, microglia, MIA,
- GSM7048556 P14, microglia, nacl, replicate 1 P14, microglia, nacl,
- GSM7048557 P14, microglia, nacl, replicate 2 P14, microglia, nacl,
- GSM7048558 P14, microglia, nacl, replicate 3, female
- GSM7048559 P14, microglia, nacl, replicate 3, male
- GSM7048560 P14, microglia, MIA, replicate 1 P14, microglia, MIA,
- GSM7048561 P14, microglia, MIA, replicate 2 P14, microglia, MIA,
- GSM7048562 S1 cortex, WT, nacl, replicate 1 S1 cortex, WT, nacl,
- GSM7048563 S1 cortex, WT, poly(I:C), replicate 1 C),
- GSM7048564 S1 cortex, Csf1r KO, nacl, replicate 1 S1 cortex, Csf1r KO, na…
- GSM7048565 S1 cortex, Csf1r KO, poly(I:C), replicate 1 C),
- GSM7048566 S1 cortex, WT, nacl, replicate 2 S1 cortex, WT, nacl,
- GSM7048567 S1 cortex, WT, poly(I:C), replicate 2 C),
- GSM7048568 S1 cortex, Csf1r KO, nacl, replicate 2 S1 cortex, Csf1r KO, na…
- GSM7048569 S1 cortex, Csf1r KO, poly(I:C), replicate 2 C),
- GSE252343 Hofbauer cells and fetal brain microglia share transcriptional profiles and responses to maternal diet-induced obesity 34 samples shares microglia, maternal, fetal, brain
- GSE248222 Impact of Maternal Immune Activation and Sex on Placental and Fetal Brain Cytokine and Gene Expression Profiles in a Preclinical Model of Neurodevelopmental Disorders 64 samples shares maternal, fetal, brain
- 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 maternal, fetal
- GSE302808 Depletion of Peripheral Monocytes Alters Long-Term Gene Expression in Microglia in a Murine Model of Traumatic Brain Injury 84 samples shares microglia, brain
- GSE300113 Heterogenous microglial reactivity contrasts with stable vascular transcriptional programs in mouse models of Alzheimer’s, CADASIL, and Traumatic Brain Injury (Main dataset) 59 samples shares microglia, brain
- GSE276647 Gene expression profile of microglia following traumatic brain injury and nasal anti-CD3 treatment at acute and chronic timepoints 54 samples shares microglia, brain
- GSE290810 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits [FACS_SpinalCord_Microglia & LPS_Brain_SpinalCord] 35 samples shares microglia, brain
- GSE200461 The maternal X chromosome impairs cognition and accelerates brain aging through epigenetic modulation in female mice 30 samples shares maternal, brain
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.