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Comparison of Tape-Stripping Platforms as Non-Invasive Solutions for Skin Biomarker Discovery

GSE262827 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2024/04/24 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 24 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
Homo sapiens (human)
Samples
24 samples: 12 × SmartSticker, Forehead, Voluntee vs 12 × Dsquame, Forehead, VolunteeGroups 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
Comparison of Tape-Stripping Platforms as Noninvasive Solutions for Skin Biomarker DiscoveryThe Journal of investigative dermatology · 2024
Summary (written by the submitters)
Use of tape stripping for the collection of stratum corneum is a versatile and reliable procedure for the evaluation of the human skin health, including assessments of the skin barrier function, microbial content, and disease biomarkers. The tape stripping procedure is widely referenced; however, the number and type of tapes required for sample collection vary considerably, and the lack of standardized sampling, processing and normalization protocols complicate data comparison and interpretation.
Read the full summary ↓
We have compared the performances of two commonly used non-invasive skin sampling platforms by collecting skin tissue from 34 healthy volunteers and applying standardization throughout the workflow, from sampling to data analysis. Our results showed significant differences in the amounts of tissue collected per tape, erythema levels, RNA and protein yields. RNA extracts from both platforms were suitable for sequencing; comparable input and quality of reads were produced for both test groups, however significant differences were found in the percentage of uniquely mapped reads and detected genes. This data highlights processing optimization as an important step in maximizing the efficiency of biomolecule extraction from tape strips and further presents a tape stripping method suitable for fast, efficient, and non-invasive epidermal tissue collection applicable to skin biomarker discovery.
Published in
Comparison of Tape-Stripping Platforms as Noninvasive Solutions for Skin Biomarker Discovery
Montano EN, Tapia A, Howell MD et al. · The Journal of investigative dermatology 2024 · PMID 38697278 · doi:10.1016/j.jid.2024.04.004
This dataset
Open GSE262827 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE262827_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1093447 and SRA study SRP498743. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38697278) ↗
Study design
12 × SmartSticker, Forehead, Voluntee vs 12 × Dsquame, Forehead, Voluntee

Supports a between-group comparison across 24 samples.

How we read this: 2 replicated groups read from 24 sample titles; they account for 24 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.

Samples in this study
Datasets on a similar topic

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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.