Genome-wide identification of long non-coding RNA and mRNA profiling using RNA sequencing in subjects with sensitive skin

// Li Yang 1, * , Lechun Lyu 2, * , Wenjuan Wu 1, * , Dongyun Lei 1, * , Ying Tu 1 , Dan Xu 1 , Jiaqi Feng 1 and Li He 1 1 Department of Dermatology, The First Affiliated Hospital of Kunming Medical University, Kunming, China 2 Technology Transfer Center, Kunming Medical University, Department of Physiology, Kunming Medical University, Kunming, China * These authors contributed equally to this work Correspondence to: Li He, email: heli2661@163.com Keywords: sensitive skin; lncRNA; mRNA; RNA sequencing Received: August 23, 2017      Accepted: November 14, 2017      Published: December 12, 2017 ABSTRACT Sensitive skin (SS) is a condition of subjective cutaneous hyper-reactivity. The role of long non-coding RNAs (lncRNAs) in subjects with SS is unclear. Therefore, the aim of the present study was to provide a comprehensive profile of the mRNAs and lncRNAs in subjects with SS. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis presented the characteristics of associated protein-coding genes. In addition, a co-expression network of lncRNA and mRNA was constructed to identify potential underlying regulation targets; the results were verified by quantitative real-time PCR (qRT-PCR) and RNA-seq analyses in patients with SS and normal samples. Compared with the normal skin group, 266 novel lncRNAs and 6750 annotated lncRNAs were identified in the SS group. A total of 71 lncRNA transcripts and 2615 mRNA transcripts were differentially expressed ( P < 0.05). The heat signature of the SS samples could be distinguished from the normal skin samples, whereas the majority of the genes that were present in enriched pathways were those that participated in focal adhesion, PI3K-Akt signaling, and cancer-related pathways. Five transcripts were selected for qRT-PCR analysis and the results were consistent with RNA-seq. The results suggested that LNC_000265 may play a role in the epidermal barrier structure of patient with SS. The data suggest novel genes and pathways that may be involved in the pathogenesis of SS and highlight potential targets that could be used for individualized treatment applications.