Modulation of non-canonical WNT5B-NFATc2 pathway-dependent MMP14 expression in astrocytes ameliorates neuropathology and motor behaviors in Huntington's disease mice
RNA-seq (gene expression) · mouse · 9 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
- 9 samples: 3 × WT-Control vs 3 × HD-Control vs 3 × HD-WNT5BGroups 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 GSE294445_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 PRJNA1249471 and SRA study SRP577865. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.
- GSM8905548 WT-Control-1 WT-Control
- GSM8905550 WT-Control-2 WT-Control
- GSM8905551 WT-Control-3 WT-Control
- GSM8905553 HD-Control-1 HD-Control
- GSM8905554 HD-Control-2 HD-Control
- GSM8905555 HD-Control-3 HD-Control
- GSM8905557 HD-WNT5B-1 HD-WNT5B
- GSM8905558 HD-WNT5B-2 HD-WNT5B
- GSM8905559 HD-WNT5B-3 HD-WNT5B
- GSE335244 Myeloid MMP14 Couples Extracellular Proteolysis to Inflammatory and Metabolic Remodeling During Obesity 6 samples shares mmp14
- GSE266914 Mmp14-Dependent Remodeling of the Pericellular-Dermal Collagen Interface Governs Fibroblast Survival 4 samples shares mmp14
- GSE176506 Synergistic behavioral and neuroinflammatory effects of amyloid neuropathology and sepsis survival in a murine model of Alzheimer’s disease 112 samples shares neuropathology
- GSE314288 Microglia replacement by ER-Hoxb8 conditionally immortalized macrophages provides insight into Aicardi-Goutières Syndrome neuropathology 92 samples shares neuropathology
- GSE176505 Synergistic behavioral and neuroinflammatory effects of amyloid neuropathology and sepsis survival in a murine model of Alzheimer’s disease II 72 samples shares neuropathology
- GSE176504 Synergistic behavioral and neuroinflammatory effects of amyloid neuropathology and sepsis survival in a murine model of Alzheimer’s disease I 40 samples shares neuropathology
- GSE281318 Wild type and tumor-derived mutant p53 share a non-canonical mode of gene occupancy [RNA-seq] 35 samples shares non-canonical
- GSE271392 Transcriptomic profiling of medulla and cervical spinal cord to study respiratory neuropathology in Spinocerebellar ataxia type 7 35 samples shares neuropathology
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.