Transcriptional Dysregulation in the Hippocampus of a Mouse Model for Parkinson's - Linked Cognitive Decline is Driven by Sex, Age, and Alpha-synuclein overexpression
RNA-seq (gene expression) · mouse · 64 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
- 64 samples: 16 conditions, mostly with about 4 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 GSE271598_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 PRJNA1132271 and SRA study SRP518204. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 64 samples.
How we read this: 16 replicated groups read from 64 sample titles; they account for 64 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.
- GSM8380244 HET_F_14M_REP.1 HET_F_14M
- GSM8380245 WT_F_14M_REP.1 WT_F_14M
- GSM8380246 HET_M_14M_REP.1 HET_M_14M
- GSM8380247 WT_M_14M_REP.1 WT_M_14M
- GSM8380248 HET_F_14M_REP.2 HET_F_14M
- GSM8380249 HET_M_14M_REP.2 HET_M_14M
- GSM8380250 WT_M_14M_REP.2 WT_M_14M
- GSM8380251 HET_F_14M_REP.3 HET_F_14M
- GSM8380252 WT_F_14M_REP.2 WT_F_14M
- GSM8380253 WT_M_14M_REP.3 WT_M_14M
- GSM8380254 HET_M_14M_REP.3 HET_M_14M
- GSM8380255 WT_F_14M_REP.3 WT_F_14M
- GSM8380256 HET_F_14M_REP.4 HET_F_14M
- GSM8380257 HET_M_14M_REP.4 HET_M_14M
- GSM8380258 WT_M_14M_REP.4 WT_M_14M
- GSM8380259 WT_F_14M_REP.4 WT_F_14M
- GSM8380260 WT_M_3M_REP.1 WT_M_3M
- GSM8380261 HET_M_3M_REP.1 HET_M_3M
- GSM8380262 HET_F_3M_REP.1 HET_F_3M
- GSM8380263 WT_F_3M_REP.1 WT_F_3M
- GSM8380264 HET_M_3M_REP.2 HET_M_3M
- GSM8380265 WT_M_3M_REP.2 WT_M_3M
- GSM8380266 HET_F_3M_REP.2 HET_F_3M
- GSM8380267 HET_F_3M_REP.3 HET_F_3M
- GSM8380268 WT_M_8M_REP.1 WT_M_8M
- GSM8380269 HET_M_8M_REP.1 HET_M_8M
- GSM8380270 HET_M_8M_REP.2 HET_M_8M
- GSM8380271 HET_F_8M_REP.1 HET_F_8M
- GSM8380272 HET_F_8M_REP.2 HET_F_8M
- GSM8380273 WT_F_8M_REP.1 WT_F_8M
- GSM8380274 HET_F_8M_REP.3 HET_F_8M
- GSM8380275 WT_F_8M_REP.2 WT_F_8M
- GSM8380276 WT_M_8M_REP.2 WT_M_8M
- GSM8380277 HET_M_8M_REP.3 HET_M_8M
- GSM8380278 HET_M_8M_REP.4 HET_M_8M
- GSM8380279 WT_M_8M_REP.3 WT_M_8M
- GSM8380280 WT_F_8M_REP.3 WT_F_8M
- GSM8380281 WT_M_8M_REP.4 WT_M_8M
- GSM8380282 WT_F_8M_REP.4 WT_F_8M
- GSM8380283 HET_F_8M_REP.4 HET_F_8M
+ 24 more — browse all 64 samples with per-sample file links →
- GSE310211 ACSS2 plays a role in mediating lasting transcriptomic dysregulation in the dorsal hippocampus and cerebellar vermis of mice chronically prenatally exposed to alcohol 32 samples shares dysregulation, hippocampus
- GSE275001 Methionine cycle dysregulation mediates REDD1 overexpression-induced muscle atrophy in cancer cachexia 12 samples shares overexpression, dysregulation
- GSE319614 Bulk RNA-seq transcriptome profiling of hippocampus across 17 autism spectrum disorder mouse models 269 samples shares hippocampus
- GSE299704 Meta-analysis of the brain transcriptomes of multiple genetic mouse models of schizophrenia highlights dysregulation in striatum and thalamus 235 samples shares dysregulation
- GSE284500 Transcriptional profiling of hippocampus from a zQ175 KI mouse model of Huntington's disease treated with either HTT-10150 siRNA targeting full-length HTT or combination of HTT-634 and HTT-486 siRNAs targeting HTT1a 192 samples shares hippocampus
- GSE292224 Distinct molecular mechanisms of stress habituation in the mouse hippocampus [bulk RNA-seq] 190 samples shares hippocampus
- GSE306583 Developmental trajectory of the mouse transcriptome following placental allopregnanolone insufficiency in the somatosensosry cortex, hippocampus and cerebellum 175 samples shares hippocampus
- GSE246119 Dynamic dysregulation of the transcriptome upon deletion of Mecp2 in adult mice 144 samples shares dysregulation
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.