Junqin Li1, Ruixia Hou1, Xuping Niu1, Ruifeng Liu1, Qiang Wang1, Chunfang Wang2, Xinhua Li1, Zhongping Hao3, Guohua Yin1, Kaiming Zhang4. 1. Taiyuan City Centre Hospital, Institute of Dermatology, No. 1 Dong San Dao Xiang, Jiefang Road, Taiyuan, 030009, Shanxi Province, China. 2. Laboratory Animal Center, Shanxi Medical University, No. 56 Xinjian Road South, Taiyuan, 030001, Shanxi Province, China. 3. Department of Dermatology, General Hospital of TISCO, No 23 Baiyangshu Street, Taiyuan, 030003, Shanxi Province, China. 4. Taiyuan City Centre Hospital, Institute of Dermatology, No. 1 Dong San Dao Xiang, Jiefang Road, Taiyuan, 030009, Shanxi Province, China. zhangkaiming@sina.com.
Abstract
OBJECTIVE: We characterized mRNA expression profiles in normal and psoriatic human dermal mesenchymal stem cells (DMSCs) to provide a reference for future investigation of differential gene expression in DMSCs. RESULTS: Microarray and RNA sequencing (RNA-Seq) analyses both identified 23 differentially expressed genes using both platforms. The results showed comparable upregulation or downregulation for 14/23 genes using either platform and a 100 % coincidence rate was found by real-time PCR. For all of the differentially expressed genes that were verified by real-time PCR, the coincidence rate for RNA-Seq and real-time PCR was significantly higher than that for microarray analysis and real-time PCR (83.3 vs. 37.5 %, P < 0.0001). Furthermore, RNA-Seq revealed the presence of over 2300 novel transcription tags. CONCLUSION: Relative to microarray analysis, RNA-Seq is more accurate in identifying differentially expressed genes in DMSCs.
OBJECTIVE: We characterized mRNA expression profiles in normal and psoriatic human dermal mesenchymal stem cells (DMSCs) to provide a reference for future investigation of differential gene expression in DMSCs. RESULTS: Microarray and RNA sequencing (RNA-Seq) analyses both identified 23 differentially expressed genes using both platforms. The results showed comparable upregulation or downregulation for 14/23 genes using either platform and a 100 % coincidence rate was found by real-time PCR. For all of the differentially expressed genes that were verified by real-time PCR, the coincidence rate for RNA-Seq and real-time PCR was significantly higher than that for microarray analysis and real-time PCR (83.3 vs. 37.5 %, P < 0.0001). Furthermore, RNA-Seq revealed the presence of over 2300 novel transcription tags. CONCLUSION: Relative to microarray analysis, RNA-Seq is more accurate in identifying differentially expressed genes in DMSCs.
Authors: Kyle B Walsh; Xiang Zhang; Xiaoting Zhu; Eric Wohleb; Daniel Woo; Long Lu; Opeolu Adeoye Journal: DNA Cell Biol Date: 2019-05-22 Impact factor: 3.311
Authors: Robin Mesnage; Alexia Phedonos; Matthew Arno; Sucharitha Balu; J Christopher Corton; Michael N Antoniou Journal: Toxicol Sci Date: 2017-08-01 Impact factor: 4.849
Authors: M E Castro-Manrreza; L Bonifaz; O Castro-Escamilla; A Monroy-García; A Cortés-Morales; E Hernández-Estévez; J Hernández-Cristino; H Mayani; J J Montesinos Journal: Stem Cells Int Date: 2019-12-01 Impact factor: 5.443