A Study on the Expression of mRNAs and lncRNAs in Keloid Fibroblasts Based on GEO Microarray Data Mining

Abstract Objective The purpose of this study was to find the coding RNA (messenger RNA, mRNA) and long non-coding RNA (lncRNA) expressed in keloid through the analysis of GEO microarray chip of keloid fibroblasts. Method: GEO database GSE7890 database was downloaded with selection of keloids and normal scar group data. The data were analyzed by R language combined with online database. The log2FC > 1, p < 0.01 was chosen as screening criteria, and the differentially expressed mRNAs were screened for GO and KEGG function analysis. Results 155 mRNA expression in the keloid group was significantly different from that in the normal group, including 31 groups with up-regulated mRNA expression and 124 groups with down-regulated mRNA expression. Meanwhile, eight lncRNAs were changed in the keloid group, including 3 up-regulated (Rp11-420a23.1, Rp11-522b15.3 and Rp11-706j10.1) and 5 down-regulated (LINC00511, LINC00327, Hoxb-as3, Rp11-385n17.1 and Rp3-428l16.2). qPCR analysis of DElncRNAs in keloid fibroblasts showed that the expression of all DElncRNAs except for RP11-385N17.1 was increased in the keloid group compared to the control group. Moreover, the differences in LINC00511 and RP11-706J10.1 were statistically significant. Conclusion The non-coding RNA information of GEO chip data can be deeply mined through bioinformatics, and the potential epigenomic mechanism affecting keloid formation can be found from the existing database.