Transcriptional Regulation of Microglial Metabolic and Activation States by P2RY12
RNA-seq (gene expression) · mouse · 57 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
- 57 samples: 5 conditions, mostly with about 5 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.
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 GSE296508_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 PRJNA1259521 and SRA study SRP583405. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 51 samples.
How we read this: 5 replicated groups read from 57 sample titles; they account for 51 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.
- GSM8971883 MWT_5 MWT
- GSM8971884 FWT_1 FWT
- GSM8971885 MWT_1 MWT
- GSM8971886 MWT_1_rep1
- GSM8971887 FKO_1 FKO
- GSM8971888 FWT_2 FWT
- GSM8971889 FKO_2 FKO
- GSM8971890 FWT_3 FWT
- GSM8971891 FWT_3_rep1
- GSM8971892 FKO_3 FKO
- GSM8971893 FKO_3_rep1
- GSM8971894 FKO_4 FKO
- GSM8971895 FKO_4_rep1
- GSM8971896 FWT_5 FWT
- GSM8971897 FWT_5_rep1
- GSM8971898 FKO_5 FKO
- GSM8971899 FKO_5_rep1
- GSM8971900 MKO_1 MKO
- GSM8971901 MKO_2 MKO
- GSM8971902 MKO_3 MKO
- GSM8971903 MWT_3 MWT
- GSM8971904 MKO_4 MKO
- GSM8971905 MWT_4 MWT
- GSM8971906 MKO_5 MKO
- GSM8971907 S1 S
- GSM8971908 S2 S
- GSM8971909 S3 S
- GSM8971910 S4 S
- GSM8971911 S5 S
- GSM8971912 S6 S
- GSM8971913 S7 S
- GSM8971914 S8 S
- GSM8971915 S9 S
- GSM8971916 S10 S
- GSM8971917 S11 S
- GSM8971918 S12 S
- GSM8971919 S13 S
- GSM8971920 S14 S
- GSM8971921 S15 S
- GSM8971922 S16 S
+ 17 more — browse all 57 samples with per-sample file links →
- GSE327428 GPR34 regulation of disease-associated microglial states in mice 96 samples shares microglial, states
- GSE275510 Deciphering Motor Dysfunction and Microglial Activation in mThy1-α-Synuclein Mice: A Comprehensive Study of Behavioral, Gene Experssion, and Methylation Changes [RNA-Seq] 20 samples shares microglial, activation
- GSE302858 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [ATAC-seq] 42 samples shares microglial, states
- GSE279351 Liver-specific inactivation of Cideb improves metabolic profiles and ameliorates steatohepatitis and fibrosis in animal models for MASH 45 samples shares activation
- GSE271074 TREM2 expression level is critical for microglial state, metabolic capacity and efficacy of TREM2 agonism 23 samples shares microglial
- GSE99296 α-ketoglutarate orchestrates macrophage activation through metabolic and epigenetic reprogramming 18 samples shares activation
- GSE263415 Spatial hepatocyte plasticity of gluconeogenic gene expression and gluconeogenic activity during the metabolic transitions between fed, fasted and starvation states [RNA-Seq] 18 samples shares states
- GSE306851 Dysregulated ClpP Activation Depletes AML Cells and Restores T-cell Function via Metabolic Competition 10 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.