Sensory neuron gene expression changes in response to type 2 skin inflammation after recovery
RNA-seq (gene expression) · mouse · 10 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
- 10 samples: 10 × AV064Groups 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.
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 GSE196234_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 PRJNA803996 and SRA study SRP358639. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 1 replicated groups read from 10 sample titles; they account for 10 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.
- GSM5866061 AV064-1 AV064
- GSM5866062 AV064-2 AV064
- GSM5866063 AV064-3 AV064
- GSM5866064 AV064-4 AV064
- GSM5866065 AV064-5 AV064
- GSM5866066 AV064-6 AV064
- GSM5866067 AV064-7 AV064
- GSM5866068 AV064-8 AV064
- GSM5866069 AV064-9 AV064
- GSM5866070 AV064-10 AV064
- GSE279813 Gene expression changes in skin of dihydrotestosterone-induced mice after treatment of a newly-developed traditional Chinese medicine formula, Hanlianxiang. 24 samples shares changes, skin
- GSE237084 Non-CG DNA methylation and MeCP2 stabilize repeated tuning of long genes that distinguish closely related neuron types [RNA-seq] 38 samples shares neuron, type
- GSE329323 Establishing Sensory Neurons as Therapeutic Targets in Peripheral Neuropathy Driven by Polyglutamine Expanded ATXN3 [Advil RNA-seq] 18 samples shares sensory, neuron
- GSE301327 RiboTag and bulk RNA sequencing using AAV-Control and AAV-shLarp1 infected sensory neurons. 12 samples shares sensory, neuron
- GSE301320 RiboTag and bulk RNA sequencing using AAV-Control and AAV-shCsde1 infected sensory neurons. 12 samples shares sensory, neuron
- GSE332759 Intracellular complement factor H protects neurons during CNS inflammation [bulkRNA-seq] 16 samples shares neuron
- GSE265909 yHSC and oHSC scRNAseq with oHSC AThi ATlo Index Sorting. Assessing the transcriptional changes associated with autophagy engagement in old hematopoietic stem cells at single cell resolution. [scRNA-Seq] 563 samples shares changes
- GSE335970 KMT2C catalytic activity regulates enhancer H3K4me1 and synaptic gene expression in cortical excitatory neurons [RNA-Seq] 39 samples shares neuron
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.