A transient neurodevelopmental microglial state governs cortical maturation and is disrupted by neonatal inflammation in mouse
Single-cell RNA-seq · mouse · 13 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 13 samples: 6 conditions, mostly in duplicateGroups 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.
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 GSE337230_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1329933 and SRA study SRP620912. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 13 samples.
How we read this: 6 replicated groups read from 13 sample titles; they account for 13 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.
- GSM9851381 CD45+ brain immune cells, P3 control-1 CD45+ brain immune cell…
- GSM9851382 CD45+ brain immune cells, P3 control-2 CD45+ brain immune cell…
- GSM9851383 CD45+ brain immune cells, P3 control-3 CD45+ brain immune cell…
- GSM9851384 CD45+ brain immune cells, P7 control-1 CD45+ brain immune cell…
- GSM9851385 CD45+ brain immune cells, P7 control-2 CD45+ brain immune cell…
- GSM9851386 CD45+ brain immune cells, P12 control-1 CD45+ brain immune cell…
- GSM9851387 CD45+ brain immune cells, P12 control-2 CD45+ brain immune cell…
- GSM9851388 P3_LPS_1: CD45+ brain immune cells, P3 LPS-1 CD45+ brain immune cell…
- GSM9851389 P3_LPS_1: CD45+ brain immune cells, P3 LPS-2 CD45+ brain immune cell…
- GSM9851390 P7_LPS_1: CD45+ brain immune cells, P7 LPS-1 CD45+ brain immune cell…
- GSM9851391 P7_LPS_2: CD45+ brain immune cells, P7 LPS-2 CD45+ brain immune cell…
- GSM9851392 P12_LPS_1: CD45+ brain immune cells, P12 LPS-2 CD45+ brain immune cell…
- GSM9851393 P12_LPS_2: CD45+ brain immune cells, P12 LPS-1 CD45+ brain immune cell…
- GSE320562 Immune checkpoint LAG-3 governs stage-dependent and disease-associated microglial modules in ALS model mice 32 samples shares microglial, governs
- GSE285895 Simulating Neonatal Microglial Pan-Programmed Cell Death to Unlock Regenerative Potential in Adult Mice Spinal Cord Injury [RNA-seq] 21 samples shares microglial, neonatal
- GSE293592 Maternal immune activation delays DNA methylation and physiological maturation of cortical excitatory neurons 106 samples shares maturation, cortical
- GSE241408 Declining FXR expression coordinates neonatal beta cell mass development with microbial bile acid metabolism maturation in mice 12 samples shares maturation, neonatal
- GSE254229 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice 141 samples shares microglial
- GSE327428 GPR34 regulation of disease-associated microglial states in mice 96 samples shares microglial
- GSE302857 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [RNA-seq] 81 samples shares microglial
- GSE310141 Microglial reactivity and neuroinflammation-driven in motivational behaviors are regulated by Orai1 channels 67 samples shares microglial
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.