Lianmei Zhong1,2, Ligong Bian3, Jing Lyu4, Huiyan Jin5, Zijie Liu6, Lechun Lyu1, Di Lu1. 1. Technology Transfer Center, Kunming Medical University, Kunming, China. 2. Department of Neurology, the First Affiliated Hospital, Kunming Medical University, Kunming, China. 3. Department of Anatomy, Kunming Medical University, Kunming, China. 4. Department of Physiology, Kunming Medical University, Kunming, China. 5. Functional Experimental Center, Kunming Medical University, Kunming, China. 6. Kunming Medical UniversityThe first affiliated hospital of Kunming Medical university, Kunming, China.
Abstract
BACKGROUND: Keloid is a common abnormal cutaneous fibroproliferative disorder. However, the process underlying keloid pathogenesis still remains to be unclear. OBJECTIVE: To integrated analyse the miRNA expression profiles of keloid. METHODS: We performed miRNA expression profiles analysis of 3 paired keloid and normal tissue samples by miRNA microarray. Differentially expressed miRNAs were further performed integrative analysed and validated using quantitative reverse transcription polymerase chain reaction (qRT-PCR). After predicting target genes, we constructed the miRNA-target genes interaction network and carried out bioinformatics analysis. RESULTS: The results revealed that 264 miRNAs were significantly altered. The expression of high frequency miRNAs which included miRNA-199a-5p, miRNA-21-5p, miRNA-214-5p, miRNA-424-5p, and miRNA-205-5p was further evaluated. The gene ontology (GO) analyses and the top enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways showed these target genes were associated with MAPK signaling pathway and HIF-1 signaling pathway. CONCLUSION: This study revealed the profiling of miRNAs in keloid that are potentially implicated in the development of this disease and could serve as novel diagnostic and therapeutic target of keloid.
BACKGROUND: Keloid is a common abnormal cutaneous fibroproliferative disorder. However, the process underlying keloid pathogenesis still remains to be unclear. OBJECTIVE: To integrated analyse the miRNA expression profiles of keloid. METHODS: We performed miRNA expression profiles analysis of 3 paired keloid and normal tissue samples by miRNA microarray. Differentially expressed miRNAs were further performed integrative analysed and validated using quantitative reverse transcription polymerase chain reaction (qRT-PCR). After predicting target genes, we constructed the miRNA-target genes interaction network and carried out bioinformatics analysis. RESULTS: The results revealed that 264 miRNAs were significantly altered. The expression of high frequency miRNAs which included miRNA-199a-5p, miRNA-21-5p, miRNA-214-5p, miRNA-424-5p, and miRNA-205-5p was further evaluated. The gene ontology (GO) analyses and the top enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways showed these target genes were associated with MAPK signaling pathway and HIF-1 signaling pathway. CONCLUSION: This study revealed the profiling of miRNAs in keloid that are potentially implicated in the development of this disease and could serve as novel diagnostic and therapeutic target of keloid.