Plekhg5 regulates the unconventional secretion of Sod1 by presynaptic secretory autophagy
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 3 × Plekhg5+/+ # vs 3 × Plekhg5-/- # vs 3 × Plekhg5+/+ SOD1-G93A # vs 3 × Plekhg5-/- SOD1-G93A #Groups 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
- Plekhg5 controls the unconventional secretion of Sod1 by presynaptic secretory autophagyNature communications · 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 GSE269588_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 PRJNA1122581 and SRA study SRP513232. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8322587 Plekhg5+/+ #1 Plekhg5+/+ #
- GSM8322588 Plekhg5+/+ #2 Plekhg5+/+ #
- GSM8322589 Plekhg5+/+ #3 Plekhg5+/+ #
- GSM8322590 Plekhg5-/- #1 Plekhg5-/- #
- GSM8322591 Plekhg5-/- #2 Plekhg5-/- #
- GSM8322592 Plekhg5-/- #3 Plekhg5-/- #
- GSM8322593 Plekhg5+/+ SOD1-G93A #1 Plekhg5+/+ SOD1-G93A #
- GSM8322594 Plekhg5+/+ SOD1-G93A #2 Plekhg5+/+ SOD1-G93A #
- GSM8322595 Plekhg5+/+ SOD1-G93A #3 Plekhg5+/+ SOD1-G93A #
- GSM8322596 Plekhg5-/- SOD1-G93A #1 Plekhg5-/- SOD1-G93A #
- GSM8322597 Plekhg5-/- SOD1-G93A #2 Plekhg5-/- SOD1-G93A #
- GSM8322598 Plekhg5-/- SOD1-G93A #3 Plekhg5-/- SOD1-G93A #
- GSE338930 A Blood-Derived Factor Rescues ALS: Platelet Factor 4 Activates OPTN-Dependent Autophagy to Clear SOD1 Aggregates Independently of PINK1 8 samples shares sod1, autophagy
- GSE286267 The Role of the Thymus in ALS development in a SOD1 ALS model 76 samples shares sod1
- GSE244538 RNAseq of motor neurons with differential vulnerability to ALS isolated from the SOD1G93A mouse model of ALS 54 samples shares sod1
- GSE287569 Single cell RNAseq of SOD1 mouse spinal cords 12 samples shares sod1
- GSE263048 RNA-seq of NSC-34 cells expressing SOD1 10 samples shares sod1
- GSE273052 Brown Adipose Tissue undergoes pathological perturbations and shapes C2C12 myoblast homeostasis in the SOD1-G93A mouse model of Amyotrophic Lateral Sclerosis. 8 samples shares sod1
- GSE206330 Cortical glia in SOD1(G93A) mice are subtly affected by ALS-like pathology 8 samples shares sod1
- GSE279899 RNA-Seq results of cervical spinal cords from NEAT1-KO; hSOD1G93A mice, compared to NEAT1-WT; hSOD1G93A 7 samples shares sod1
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.