Transcriptomic analysis of peripheral neuropathy in a high-fat diet-induced mouse model of type 2 diabetes
RNA-seq (gene expression) · mouse · 46 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
- 46 samples: 8 conditions, mostly with about 6 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.
- Paper
- Transcriptomic profiling of sciatic nerves and dorsal root ganglia reveals site-specific effects of prediabetic neuropathyTranslational research : the journal of laboratory and clinical 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 GSE225224_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 PRJNA934372 and SRA study SRP422330. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 46 samples.
How we read this: 8 replicated groups read from 46 sample titles; they account for 46 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.
- GSM7042109 12wk_WT_SCN_1 12wk_WT_SCN
- GSM7042110 12wk_WT_SCN_2 12wk_WT_SCN
- GSM7042111 12wk_HF_SCN_1 12wk_HF_SCN
- GSM7042112 12wk_HF_SCN_2 12wk_HF_SCN
- GSM7042113 12wk_WT_DRG_1 12wk_WT_DRG
- GSM7042114 12wk_WT_DRG_2 12wk_WT_DRG
- GSM7042115 12wk_HF_DRG_1 12wk_HF_DRG
- GSM7042116 12wk_HF_DRG_2 12wk_HF_DRG
- GSM7042117 36wk_WT_SCN_1 36wk_WT_SCN
- GSM7042118 36wk_WT_SCN_2 36wk_WT_SCN
- GSM7042119 36wk_HF_SCN_1 36wk_HF_SCN
- GSM7042120 36wk_HF_SCN_2 36wk_HF_SCN
- GSM7042121 36wk_WT_DRG_1 36wk_WT_DRG
- GSM7042122 36wk_WT_DRG_2 36wk_WT_DRG
- GSM7042123 36wk_HF_DRG_1 36wk_HF_DRG
- GSM7042124 36wk_HF_DRG_2 36wk_HF_DRG
- GSM7042125 12wk_WT_SCN_3 12wk_WT_SCN
- GSM7042126 12wk_WT_SCN_4 12wk_WT_SCN
- GSM7042127 12wk_HF_SCN_3 12wk_HF_SCN
- GSM7042128 12wk_HF_SCN_4 12wk_HF_SCN
- GSM7042129 12wk_WT_DRG_3 12wk_WT_DRG
- GSM7042130 12wk_WT_DRG_4 12wk_WT_DRG
- GSM7042131 12wk_HF_DRG_3 12wk_HF_DRG
- GSM7042132 12wk_HF_DRG_4 12wk_HF_DRG
- GSM7042133 36wk_WT_SCN_3 36wk_WT_SCN
- GSM7042134 36wk_WT_SCN_4 36wk_WT_SCN
- GSM7042135 36wk_HF_SCN_3 36wk_HF_SCN
- GSM7042136 36wk_HF_SCN_4 36wk_HF_SCN
- GSM7042137 36wk_WT_DRG_3 36wk_WT_DRG
- GSM7042138 36wk_WT_DRG_4 36wk_WT_DRG
- GSM7042139 36wk_HF_DRG_3 36wk_HF_DRG
- GSM7042140 36wk_HF_DRG_4 36wk_HF_DRG
- GSM7042141 12wk_WT_SCN_5 12wk_WT_SCN
- GSM7042142 12wk_WT_SCN_6 12wk_WT_SCN
- GSM7042143 12wk_HF_SCN_5 12wk_HF_SCN
- GSM7042144 12wk_HF_SCN_6 12wk_HF_SCN
- GSM7042145 12wk_WT_DRG_5 12wk_WT_DRG
- GSM7042146 12wk_WT_DRG_6 12wk_WT_DRG
- GSM7042147 12wk_HF_DRG_5 12wk_HF_DRG
- GSM7042148 12wk_HF_DRG_6 12wk_HF_DRG
+ 6 more — browse all 46 samples with per-sample file links →
- GSE280875 Transcriptomics profiling of gonadal white adipose tissue (gWAT) of wild-type (WT) and macrophage-specific Bnip3 knockout (MKO) mice fed a normal chow diet (NCD) or high-fat diet (HFD) 12 samples shares high-fat, type
- GSE333360 Distinct neuroinflammatory effects of individual chemotherapeutics shape chemotherapy-induced peripheral neuropathy in a novel mouse model of CVAD combination regimen. 30 samples shares peripheral, neuropathy
- GSE329323 Establishing Sensory Neurons as Therapeutic Targets in Peripheral Neuropathy Driven by Polyglutamine Expanded ATXN3 [Advil RNA-seq] 18 samples shares peripheral, neuropathy
- GSE284475 Neuropathy-associated Tecpr2 mutation knock-in mice reveal endolysosomal loss of function phenotypes in neurons and microglia 16 samples shares neuropathy, type
- GSE277692 RNA-sequencing of inguinal white adipose tissue (iWAT) from kynurenine 3-monooxygenase (Kmo) knockout mice and wild-type littermates on chow and high-fat diets. 16 samples shares high-fat, type
- GSE262047 Braf-mutant Schwann cells divert to a repair phenotype to induce congenital demyelinating neuropathy [ScN] 16 samples shares neuropathy, type
- GSE279918 Gene expression profile at single cell level of lungs of adult male and female C57BL/6 mice with andwithout high-fat diet-induced obesity 12 samples shares diet-induced, high-fat
- GSE320015 Establishing Sensory Neurons as Therapeutic Targets in Peripheral Neuropathy Driven by Polyglutamine Expanded ATXN3 12 samples shares peripheral, neuropathy
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.