Profiling the Atopic Dermatitis Epidermal Transcriptome by Tape Stripping and BRB-seq.
Tu HuTanja TodbergDaniel AndersenNiels Banhos Danneskiold-SamsøeSofie Boesgaard Neestrup HansenKarsten KristiansenDavid Adrian EwaldSusanne BrixJoel Correa da RosaIlka HoofLone SkovThomas LitmanPublished in: International journal of molecular sciences (2022)
Tape stripping is a non-invasive skin sampling technique, which has recently gained use for the study of the transcriptome of atopic dermatitis (AD), a common inflammatory skin disorder characterized by a defective epidermal barrier and perturbated immune response. Here, we performed BRB-seq-a low cost, multiplex-based, transcriptomic profiling technique-on tape-stripped skin from 30 AD patients and 30 healthy controls to evaluate the methods' ability to assess the epidermal AD transcriptome. An AD signature consisting of 91 differentially expressed genes, specific for skin barrier and inflammatory response, was identified. The gene expression in the outermost layers, stratum corneum and stratum granulosum, of the skin showed highest correlation between tape-stripped skin and matched full-thickness punch biopsies. However, we observed that low and highly variable transcript counts, probably due to low RNA yield and RNA degradation in the tape-stripped skin samples, were a limiting factor for epidermal transcriptome profiling as compared to punch biopsies. We conclude that deep BRB-seq of tape-stripped skin is needed to counteract large between-sample RNA yield variation and highly zero-inflated data in order to apply this protocol for population-wide screening of the epidermal transcriptome in inflammatory skin diseases.
Keyphrases
- wound healing
- single cell
- rna seq
- gene expression
- genome wide
- soft tissue
- inflammatory response
- immune response
- dna methylation
- atopic dermatitis
- randomized controlled trial
- electronic health record
- end stage renal disease
- newly diagnosed
- optical coherence tomography
- machine learning
- artificial intelligence
- prognostic factors
- lps induced
- data analysis