Jianjia Li1,2, Zhifa Wang1,3, Xiangyu Huang1,2, Zhaodan Wang1,2, Zehao Chen1,2, Runting Wang1,2, Zhao Chen4, Wei Liu4, Buling Wu5,6,7, Fuchun Fang8,9, Wei Qiu10,11. 1. Department of Stomatology, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, 510515, China. 2. School of Stomatology, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, 510515, China. 3. Department of Stomatology, General Hospital of Southern Theater of PLA, 111 Liuhua Road, Guangzhou, 510010, China. 4. Shenzhen Stomatology Hospital (Pingshan), Southern Medical University, 143 Dongzong Road, Pingshan District, Shenzhen, 518118, China. 5. Department of Stomatology, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, 510515, China. bulingwu@smu.edu.cn. 6. School of Stomatology, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, 510515, China. bulingwu@smu.edu.cn. 7. Shenzhen Stomatology Hospital (Pingshan), Southern Medical University, 143 Dongzong Road, Pingshan District, Shenzhen, 518118, China. bulingwu@smu.edu.cn. 8. Department of Stomatology, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, 510515, China. fangfuchun520@163.com. 9. School of Stomatology, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, 510515, China. fangfuchun520@163.com. 10. Department of Stomatology, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, 510515, China. qiuweiandmj@163.com. 11. School of Stomatology, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, 510515, China. qiuweiandmj@163.com.
Abstract
BACKGROUND: Human periodontal ligament stem cells (hPDLSCs) are ideal seed cells for periodontal regeneration. A greater understanding of the dynamic protein profiles during osteogenic differentiation contributed to the improvement of periodontal regeneration tissue engineering. METHODS: Tandem Mass Tag quantitative proteomics was utilized to reveal the temporal protein expression pattern during osteogenic differentiation of hPDLSCs on days 0, 3, 7 and 14. Differentially expressed proteins (DEPs) were clustered and functional annotated by Gene Ontology (GO) terms. Pathway enrichment analysis was performed based on the Kyoto Encyclopedia of Genes and Genomes database, followed by the predicted activation using Ingenuity Pathway Analysis software. Interaction networks of redox-sensitive signalling pathways and oxidative phosphorylation (OXPHOS) were conducted and the hub protein SOD2 was validated with western blotting. RESULTS: A total of 1024 DEPs were identified and clustered in 5 distinctive clusters representing dynamic tendencies. The GO enrichment results indicated that proteins with different tendencies show different functions. Pathway enrichment analysis found that OXPHOS was significantly involved, which further predicted continuous activation. Redox-sensitive signalling pathways with dynamic activation status showed associations with OXPHOS to various degrees, especially the sirtuin signalling pathway. SOD2, an important component of the sirtuin pathway, displays a persistent increase during osteogenesis. Data are available via ProteomeXchange with identifier PXD020908. CONCLUSION: This is the first in-depth dynamic proteomic analysis of osteogenic differentiation of hPDLSCs. It demonstrated a dynamic regulatory mechanism of hPDLSC osteogenesis and might provide a new perspective for research on periodontal regeneration.
BACKGROUND:Human periodontal ligament stem cells (hPDLSCs) are ideal seed cells for periodontal regeneration. A greater understanding of the dynamic protein profiles during osteogenic differentiation contributed to the improvement of periodontal regeneration tissue engineering. METHODS: Tandem Mass Tag quantitative proteomics was utilized to reveal the temporal protein expression pattern during osteogenic differentiation of hPDLSCs on days 0, 3, 7 and 14. Differentially expressed proteins (DEPs) were clustered and functional annotated by Gene Ontology (GO) terms. Pathway enrichment analysis was performed based on the Kyoto Encyclopedia of Genes and Genomes database, followed by the predicted activation using Ingenuity Pathway Analysis software. Interaction networks of redox-sensitive signalling pathways and oxidative phosphorylation (OXPHOS) were conducted and the hub protein SOD2 was validated with western blotting. RESULTS: A total of 1024 DEPs were identified and clustered in 5 distinctive clusters representing dynamic tendencies. The GO enrichment results indicated that proteins with different tendencies show different functions. Pathway enrichment analysis found that OXPHOS was significantly involved, which further predicted continuous activation. Redox-sensitive signalling pathways with dynamic activation status showed associations with OXPHOS to various degrees, especially the sirtuin signalling pathway. SOD2, an important component of the sirtuin pathway, displays a persistent increase during osteogenesis. Data are available via ProteomeXchange with identifier PXD020908. CONCLUSION: This is the first in-depth dynamic proteomic analysis of osteogenic differentiation of hPDLSCs. It demonstrated a dynamic regulatory mechanism of hPDLSC osteogenesis and might provide a new perspective for research on periodontal regeneration.
Authors: Yongbo Lu; Suzan A Kamel-El Sayed; Kun Wang; LeAnn M Tiede-Lewis; Michael A Grillo; Patricia A Veno; Vladimir Dusevich; Charlotte L Phillips; Lynda F Bonewald; Sarah L Dallas Journal: J Bone Miner Res Date: 2018-03-23 Impact factor: 6.741
Authors: Nadja Fratzl-Zelman; Hans-Peter Bächinger; Janice A Vranka; Paul Roschger; Klaus Klaushofer; Frank Rauch Journal: Bone Date: 2016-01-22 Impact factor: 4.398