Identification of pathological pathways centered on circRNA dysregulation initiated at a critical window of Alzheimer’s disease progression
RNA-seq (gene expression) · mouse · 24 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
- 24 samples
- 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
- Identification of pathological pathways centered on circRNA dysregulation in association with irreversible progression of Alzheimer's diseaseGenome medicine · 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 GSE236683_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 PRJNA992028 and SRA study SRP447810. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 24 more — browse all 24 samples with per-sample file links →
- GSE319246 ApoE4 Drives Microglial Lipid Dysregulation in Alzheimer’s Disease via Epigenetic Reprogramming of the AsxL1/LXRα–H3K4me3 Axis 24 samples shares dysregulation, alzheimer
- GSE336280 Murine pancreatic tumors induce pathological remodeling of muscles critical to chewing and swallowing [RNA-seq] 13 samples shares pathological, critical
- GSE279884 Perimenopausal State Oestradiol to Progesterone Imbalance Drives Alzheimer’s Risk via ERRα Dysregulation and Energy Dyshomeostasis [VCD_Cycle14] 11 samples shares dysregulation, alzheimer
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares progression
- GSE327470 Temporal Uncoupling of Radial Glial Progenitor Cell Lineage Progression in Self-organizing Organoid System 292 samples shares progression
- GSE327468 Temporal Uncoupling of Radial Glial Progenitor Cell Lineage Progression in Self-organizing Organoid System – MADM-CloneSeq 287 samples shares progression
- GSE159911 “Bench-to-Bedside and Back” analysis of NAFLD model reveals common transcriptomic shifts between mouse and human during disease progression 152 samples shares progression
- GSE225576 An atlas of the aging mouse transcriptome and proteome reveals the features of age-related post-transcriptional dysregulation 128 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.