Loss of Inpp5d has disease-relevant and sex-specific effects on glial transcriptomes
Single-cell RNA-seq · mouse · 12 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
- 12 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.
- Paper
- Loss of Inpp5d has disease-relevant and sex-specific effects on glial transcriptomesAlzheimer's & dementia : the journal of the Alzheimer's Association · 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 GSE254999_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 PRJNA1072999 and SRA study SRP487940. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 8 samples read as cases, 4 as controls.
How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8062049 Brain, homozygous knockout female 2 Brain, homozygous knock…
- GSM8062050 Brain, homozygous knockout male 1 Brain, homozygous knock…
- GSM8062051 Brain, wildtype female 1 Brain, wildtype female
- GSM8062052 Brain, heterozygous knockout male 1 Brain, heterozygous kno…
- GSM8062053 Brain, heterozygous knockout female 1 Brain, heterozygous kno…
- GSM8062054 Brain, homozygous knockout female 1 Brain, homozygous knock…
- GSM8062055 Brain, heterozygous knockout female 2 Brain, heterozygous kno…
- GSM8062056 Brain, heterozygous knockout male 2 Brain, heterozygous kno…
- GSM8062057 Brain, homozygous knockout male 2 Brain, homozygous knock…
- GSM8062058 Brain, wildtype male 2 Brain, wildtype male
- GSM8062059 Brain, wildtype female 2 Brain, wildtype female
- GSM8062060 Brain, wildtype male 1 Brain, wildtype male
- GSE304112 Establishment of sex-specific liver transcriptomes and H3K9me3 profiles during sexual maturity: the impact of maternal obesity [RNA-seq] 32 samples shares transcriptomes, sex-specific
- GSE269314 Knockdown of microglial iron import gene, DMT1, worsens cognitive function and alters microglial transcriptional landscape in a sex-specific manner in the APP/PS1 model of Alzheimer's disease 23 samples shares sex-specific, glial
- GSE304113 Establishment of sex-specific liver transcriptomes and H3K9me3 profiles during sexual maturity: the impact of maternal obesity [ChIP-seq] 36 samples shares transcriptomes, sex-specific
- GSE98816 Single cell RNA-seq of mouse brain vascular transcriptomes 3186 samples shares transcriptomes
- GSE99235 Single cell RNA-seq of mouse lung vascular transcriptomes 1504 samples shares transcriptomes
- GSE99058 Single cell RNA-seq of mouse brain astrocyte transcriptomes 250 samples shares transcriptomes
- GSE299704 Meta-analysis of the brain transcriptomes of multiple genetic mouse models of schizophrenia highlights dysregulation in striatum and thalamus 235 samples shares transcriptomes
- GSE190035 Characterisation of the epidermal diurnal and circadian transcriptomes of mice with tissue-specific circadian clock activity 216 samples shares transcriptomes
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.