Urotensin II Activates Sensory-cutaneous Pathway to Promote Itch and Cutaneous Inflammation
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 × mDRGUII_6h vs 3 × mDRG_6h_C vs 3 × hKCs_hUII_24h vs 3 × hKCs_C_24hGroups 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 GSE218749_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 PRJNA905398 and SRA study SRP409780. 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.
- GSM6756010 mDRGUII_6h_1 mDRGUII_6h
- GSM6756011 mDRGUII_6h_2 mDRGUII_6h
- GSM6756012 mDRGUII_6h_3 mDRGUII_6h
- GSM6756013 mDRG_6h_C_1 mDRG_6h_C
- GSM6756014 mDRG_6h_C_2 mDRG_6h_C
- GSM6756015 mDRG_6h_C_3 mDRG_6h_C
- GSM6756016 hKCs_hUII_24h_1 hKCs_hUII_24h
- GSM6756017 hKCs_hUII_24h_2 hKCs_hUII_24h
- GSM6756018 hKCs_hUII_24h_3 hKCs_hUII_24h
- GSM6756019 hKCs_C_24h_1 hKCs_C_24h
- GSM6756020 hKCs_C_24h_2 hKCs_C_24h
- GSM6756021 hKCs_C_24h_3 hKCs_C_24h
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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.