Zhi-Hong Zhu1,2, Yan Fu1,2, Chuan-Huang Weng1,2, Cong-Jian Zhao1,2, Zheng-Qin Yin1,2. 1. Southwest Hospital/Southwest Eye Hospital, Third Military Medical University, Chongqing 400038, China. 2. Key Lab of Visual Damage and Regeneration & Restoration of Chongqing, Chongqing 400038, China.
Abstract
AIM: To identify the underlying cellular and molecular changes in retinitis pigmentosa (RP). METHODS: Label-free quantification-based proteomics analysis, with its advantages of being more economic and consisting of simpler procedures, has been used with increasing frequency in modern biological research. Dystrophic RCS rats, the first laboratory animal model for the study of RP, possess a similar pathological course as human beings with the diseases. Thus, we employed a comparative proteomics analysis approach for in-depth proteome profiling of retinas from dystrophic RCS rats and non-dystrophic congenic controls through Linear Trap Quadrupole - orbitrap MS/MS, to identify the significant differentially expressed proteins (DEPs). Bioinformatics analyses, including Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation and upstream regulatory analysis, were then performed on these retina proteins. Finally, a Western blotting experiment was carried out to verify the difference in the abundance of transcript factor E2F1. RESULTS: In this study, we identified a total of 2375 protein groups from the retinal protein samples of RCS rats and non-dystrophic congenic controls. Four hundred thirty-four significantly DEPs were selected by Student's t-test. Based on the results of the bioinformatics analysis, we identified mitochondrial dysfunction and transcription factor E2F1 as the key initiation factors in early retinal degenerative process. CONCLUSION: We showed that the mitochondrial dysfunction and the transcription factor E2F1 substantially contribute to the disease etiology of RP. The results provide a new potential therapeutic approach for this retinal degenerative disease.
AIM: To identify the underlying cellular and molecular changes in retinitis pigmentosa (RP). METHODS: Label-free quantification-based proteomics analysis, with its advantages of being more economic and consisting of simpler procedures, has been used with increasing frequency in modern biological research. Dystrophic RCSrats, the first laboratory animal model for the study of RP, possess a similar pathological course as human beings with the diseases. Thus, we employed a comparative proteomics analysis approach for in-depth proteome profiling of retinas from dystrophic RCSrats and non-dystrophic congenic controls through Linear Trap Quadrupole - orbitrap MS/MS, to identify the significant differentially expressed proteins (DEPs). Bioinformatics analyses, including Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation and upstream regulatory analysis, were then performed on these retina proteins. Finally, a Western blotting experiment was carried out to verify the difference in the abundance of transcript factor E2F1. RESULTS: In this study, we identified a total of 2375 protein groups from the retinal protein samples of RCS rats and non-dystrophic congenic controls. Four hundred thirty-four significantly DEPs were selected by Student's t-test. Based on the results of the bioinformatics analysis, we identified mitochondrial dysfunction and transcription factor E2F1 as the key initiation factors in early retinal degenerative process. CONCLUSION: We showed that the mitochondrial dysfunction and the transcription factor E2F1 substantially contribute to the disease etiology of RP. The results provide a new potential therapeutic approach for this retinal degenerative disease.
Authors: Qizhi Hu; Robert J Noll; Hongyan Li; Alexander Makarov; Mark Hardman; R Graham Cooks Journal: J Mass Spectrom Date: 2005-04 Impact factor: 1.982
Authors: Dyonne T Hartong; Mayura Dange; Terri L McGee; Eliot L Berson; Thaddeus P Dryja; Roberta F Colman Journal: Nat Genet Date: 2008-09-21 Impact factor: 38.330
Authors: P M D'Cruz; D Yasumura; J Weir; M T Matthes; H Abderrahim; M M LaVail; D Vollrath Journal: Hum Mol Genet Date: 2000-03-01 Impact factor: 6.150
Authors: Damian Szklarczyk; Andrea Franceschini; Stefan Wyder; Kristoffer Forslund; Davide Heller; Jaime Huerta-Cepas; Milan Simonovic; Alexander Roth; Alberto Santos; Kalliopi P Tsafou; Michael Kuhn; Peer Bork; Lars J Jensen; Christian von Mering Journal: Nucleic Acids Res Date: 2014-10-28 Impact factor: 16.971
Authors: Juan Antonio Vizcaíno; Attila Csordas; Noemi del-Toro; José A Dianes; Johannes Griss; Ilias Lavidas; Gerhard Mayer; Yasset Perez-Riverol; Florian Reisinger; Tobias Ternent; Qing-Wei Xu; Rui Wang; Henning Hermjakob Journal: Nucleic Acids Res Date: 2015-11-02 Impact factor: 16.971
Authors: Daniel J B Clarke; Maxim V Kuleshov; Brian M Schilder; Denis Torre; Mary E Duffy; Alexandra B Keenan; Alexander Lachmann; Axel S Feldmann; Gregory W Gundersen; Moshe C Silverstein; Zichen Wang; Avi Ma'ayan Journal: Nucleic Acids Res Date: 2018-07-02 Impact factor: 19.160