Astrocyte morphology driven improvements to OCD phenotypes
RNA-seq (gene expression) · mouse · 16 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
- 16 samples: 4 × KO_hM4D vs 4 × KO_tdT vs 4 × WT_hM4D vs 4 × WT_tdTGroups 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
- Astrocyte Gi-GPCR signaling corrects compulsive-like grooming and anxiety-related behaviors in Sapap3 knockout miceNeuron · 2024
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 GSE247241_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 PRJNA1036677 and SRA study SRP470571. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM7885795 KO_hM4D_1 KO_hM4D
- GSM7885796 KO_hM4D_2 KO_hM4D
- GSM7885797 KO_hM4D_3 KO_hM4D
- GSM7885798 KO_hM4D_4 KO_hM4D
- GSM7885799 KO_tdT_1 KO_tdT
- GSM7885800 KO_tdT_2 KO_tdT
- GSM7885801 KO_tdT_3 KO_tdT
- GSM7885802 KO_tdT_4 KO_tdT
- GSM7885803 WT_hM4D_1 WT_hM4D
- GSM7885804 WT_hM4D_2 WT_hM4D
- GSM7885805 WT_hM4D_3 WT_hM4D
- GSM7885806 WT_hM4D_4 WT_hM4D
- GSM7885807 WT_tdT_1 WT_tdT
- GSM7885808 WT_tdT_2 WT_tdT
- GSM7885809 WT_tdT_3 WT_tdT
- GSM7885810 WT_tdT_4 WT_tdT
- GSE276942 Transthyrectin, a novel prognostic marker of POCD revealed by time-series RNA sequencing analysis 17 samples shares ocd
- GSE223269 Freezing responses during threat memory retrieval reflect trait-like anxiety endophenotypes in inbred mice 108 samples shares phenotypes
- GSE294362 Aged bone marrow myeloid and mesenchymal cells develop unique senescence phenotypes 80 samples shares phenotypes
- GSE310244 Dynamic Resilience: Stress Phenotypes and Their Impact on Opioid-Taking Behavior, Brain Activity, and Gene Expression 68 samples shares phenotypes
- GSE307617 A low protein diet drives short and long-term improvements in metabolic health in a mouse model of sleeve gastrectomy 62 samples shares improvements
- GSE315447 Suppressive Genetic Interactions Between Haploinsufficient Mitochondrial Genes Encoded in the 22q11.2 Microdeletion Locus Define Brain and Cardiac Phenotypes 59 samples shares phenotypes
- GSE174780 Sperm transcriptional state associated with paternal transmission of stress phenotypes 58 samples shares phenotypes
- GSE271798 NAD+ precursors prolong survival and improve cardiac phenotypes in a mouse model of Friedreich’s Ataxia 50 samples shares phenotypes
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.