Genome-wide identification of long non-coding RNA and mRNA profiling using RNA sequencing in subjects with sensitive skin
Metrics: PDF 512 views | HTML 1632 views | ?
Li Yang1,*, Lechun Lyu2,*, Wenjuan Wu1,*, Dongyun Lei1,*, Ying Tu1, Dan Xu1, Jiaqi Feng1 and Li He1
1Department of Dermatology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
2Technology Transfer Center, Kunming Medical University, Department of Physiology, Kunming Medical University, Kunming, China
*These authors contributed equally to this work
Li He, email: email@example.com
Keywords: sensitive skin; lncRNA; mRNA; RNA sequencing
Received: August 23, 2017 Accepted: November 14, 2017 Published: December 12, 2017
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.
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.