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Non-invasive human skin transcriptome analysis using mRNA in skin surface lipids.

Takayoshi InoueTetsuya KuwanoYuya UeharaMichiko YanoNaoki OyaNaoto TakadaShodai TanakaYui UedaAkira HachiyaYoshito TakahashiNoriyasu OtaTakatoshi Murase
Published in: Communications biology (2022)
Non-invasive acquisition of mRNA data from the skin can be extremely useful for understanding skin physiology and diseases. Inspired by the holocrine process, in which the sebaceous glands secrete cell contents into the sebum, we focused on the possible presence of mRNAs in skin surface lipids (SSLs). We found that measurable levels of human mRNAs exist in SSLs, where the sebum protects them from degradation by RNases. The AmpliSeq transcriptome analysis was modified to measure SSL-RNA levels, and our results revealed that the SSL-RNAs predominantly comprised mRNAs derived from sebaceous glands, the epidermis, and hair follicles. Analysis of SSL-RNAs non-invasively collected from patients with atopic dermatitis revealed increased expression of inflammation-related genes and decreased expression of terminal differentiation-related genes, consistent with the results of previous reports. Further, we found that lipid synthesis-related genes were downregulated in the sebaceous glands of patients with atopic dermatitis. These results indicate that the analysis of SSL-RNAs is a promising strategy to understand the pathophysiology of skin diseases.
Keyphrases
  • atopic dermatitis
  • soft tissue
  • wound healing
  • poor prognosis
  • single cell
  • binding protein
  • endothelial cells
  • fatty acid
  • oxidative stress
  • stem cells
  • electronic health record
  • deep learning
  • genome wide analysis