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Beaver D, Limnios IJ. A treatment within sight: challenges in the development of stem cell-derived photoreceptor therapies for retinal degenerative diseases. FRONTIERS IN TRANSPLANTATION 2023; 2:1130086. [PMID: 38993872 PMCID: PMC11235385 DOI: 10.3389/frtra.2023.1130086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 09/07/2023] [Indexed: 07/13/2024]
Abstract
Stem cell therapies can potentially treat various retinal degenerative diseases, including age-related macular degeneration (AMD) and inherited retinal diseases like retinitis pigmentosa. For these diseases, transplanted cells may include stem cell-derived retinal pigmented epithelial (RPE) cells, photoreceptors, or a combination of both. Although stem cell-derived RPE cells have progressed to human clinical trials, therapies using photoreceptors and other retinal cell types are lagging. In this review, we discuss the potential use of human pluripotent stem cell (hPSC)-derived photoreceptors for the treatment of retinal degeneration and highlight the progress and challenges for their efficient production and clinical application in regenerative medicine.
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Affiliation(s)
- Davinia Beaver
- Clem Jones Centre for Regenerative Medicine, Bond University, Gold Coast, QL, Australia
| | - Ioannis Jason Limnios
- Clem Jones Centre for Regenerative Medicine, Bond University, Gold Coast, QL, Australia
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Esquerdo-Barragán M, Brooks MJ, Toulis V, Swaroop A, Marfany G. Expression of deubiquitinating enzyme genes in the developing mammal retina. Mol Vis 2019; 25:800-813. [PMID: 31819342 PMCID: PMC6887694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 11/29/2019] [Indexed: 11/18/2022] Open
Abstract
Purpose Genes involved in the development and differentiation of the mammalian retina are also associated with inherited retinal dystrophies (IRDs) and age-related macular degeneration. Transcriptional regulation of retinal cell differentiation has been addressed by genetic and transcriptomic studies. Much less is known about the posttranslational regulation of key regulatory proteins, although mutations in some genes involved in ubiquitination and proteostasis-E3 ligases and deubiquitinating enzymes (DUBs)-cause IRDs. This study intends to provide new data on DUB gene expression during different developmental stages of mouse and human fetal retinas. Methods We performed a comprehensive transcriptomic analysis of all the annotated human and mouse DUBs (87) in the developing mouse retina at several embryonic and postnatal time points compared with the transcriptome of the fetal human retina. An integrated comparison of data from transcriptomics, reported chromatin immunoprecipitation sequencing (ChIP-seq) of CRX and NRL transcription factors, and the phenotypic retinal alterations in different animal models is presented. Results Several DUB genes are differentially expressed during the development of the mouse and human retinas in relation to proliferation or differentiation stages. Some DUB genes appear to be distinctly expressed during the differentiation stages of rod and cone photoreceptor cells, and their expression is altered in mouse knockout models of relevant photoreceptor transcription factors. We complemented this RNA-sequencing (RNA-seq) analysis with other reported expression and phenotypic data to underscore the involvement of DUBs in cell fate decision and photoreceptor differentiation. Conclusions The present results highlight a short list of potential DUB candidates for retinal disorders, which require further study.
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Affiliation(s)
- Mariona Esquerdo-Barragán
- Departament de Genètica, Microbiologia i Estadística, Avda. Diagonal 643, Universitat de Barcelona, Barcelona 08028, Spain,Institut de Biomedicina (IBUB-IRSJD), Universitat de Barcelona, Barcelona, Spain
| | - Matthew J. Brooks
- Neurobiology Neurodegeneration & Repair Laboratory, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Vasileios Toulis
- Departament de Genètica, Microbiologia i Estadística, Avda. Diagonal 643, Universitat de Barcelona, Barcelona 08028, Spain,Institut de Biomedicina (IBUB-IRSJD), Universitat de Barcelona, Barcelona, Spain,CIBERER, ISCIII, Universitat de Barcelona, Barcelona, Spain
| | - Anand Swaroop
- Neurobiology Neurodegeneration & Repair Laboratory, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Gemma Marfany
- Departament de Genètica, Microbiologia i Estadística, Avda. Diagonal 643, Universitat de Barcelona, Barcelona 08028, Spain,Institut de Biomedicina (IBUB-IRSJD), Universitat de Barcelona, Barcelona, Spain,CIBERER, ISCIII, Universitat de Barcelona, Barcelona, Spain
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Tkatchenko TV, Shah RL, Nagasaki T, Tkatchenko AV. Analysis of genetic networks regulating refractive eye development in collaborative cross progenitor strain mice reveals new genes and pathways underlying human myopia. BMC Med Genomics 2019; 12:113. [PMID: 31362747 PMCID: PMC6668126 DOI: 10.1186/s12920-019-0560-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 07/22/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Population studies suggest that genetic factors play an important role in refractive error development; however, the precise role of genetic background and the composition of the signaling pathways underlying refractive eye development remain poorly understood. METHODS Here, we analyzed normal refractive development and susceptibility to form-deprivation myopia in the eight progenitor mouse strains of the Collaborative Cross (CC). We used RNA-seq to analyze gene expression in the retinae of these mice and reconstruct genetic networks and signaling pathways underlying refractive eye development. We also utilized genome-wide gene-based association analysis to identify mouse genes and pathways associated with myopia in humans. RESULTS Genetic background strongly influenced both baseline refractive development and susceptibility to environmentally-induced myopia. Baseline refractive errors ranged from - 21.2 diopters (D) in 129S1/svlmj mice to + 22.0 D in CAST/EiJ mice and represented a continuous distribution typical of a quantitative genetic trait. The extent of induced form-deprivation myopia ranged from - 5.6 D in NZO/HILtJ mice to - 20.0 D in CAST/EiJ mice and also followed a continuous distribution. Whole-genome (RNA-seq) gene expression profiling in retinae from CC progenitor strains identified genes whose expression level correlated with either baseline refractive error or susceptibility to myopia. Expression levels of 2,302 genes correlated with the baseline refractive state of the eye, whereas 1,917 genes correlated with susceptibility to induced myopia. Genome-wide gene-based association analysis in the CREAM and UK Biobank human cohorts revealed that 985 of the above genes were associated with myopia in humans, including 847 genes which were implicated in the development of human myopia for the first time. Although the gene sets controlling baseline refractive development and those regulating susceptibility to myopia overlapped, these two processes appeared to be controlled by largely distinct sets of genes. CONCLUSIONS Comparison with data for other animal models of myopia revealed that the genes identified in this study comprise a well-defined set of retinal signaling pathways, which are highly conserved across different vertebrate species. These results identify major signaling pathways involved in refractive eye development and provide attractive targets for the development of anti-myopia drugs.
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Affiliation(s)
| | - Rupal L. Shah
- School of Optometry & Vision Sciences, Cardiff University, Cardiff, UK
| | | | - Andrei V. Tkatchenko
- Department of Ophthalmology, Columbia University, New York, NY USA
- Department of Pathology and Cell Biology, Columbia University, New York, NY USA
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Wang Z, Yip LY, Lee JHJ, Wu Z, Chew HY, Chong PKW, Teo CC, Ang HYK, Peh KLE, Yuan J, Ma S, Choo LSK, Basri N, Jiang X, Yu Q, Hillmer AM, Lim WT, Lim TKH, Takano A, Tan EH, Tan DSW, Ho YS, Lim B, Tam WL. Methionine is a metabolic dependency of tumor-initiating cells. Nat Med 2019; 25:825-837. [PMID: 31061538 DOI: 10.1038/s41591-019-0423-5] [Citation(s) in RCA: 211] [Impact Index Per Article: 42.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 03/14/2019] [Indexed: 12/21/2022]
Abstract
Understanding cellular metabolism holds immense potential for developing new classes of therapeutics that target metabolic pathways in cancer. Metabolic pathways are altered in bulk neoplastic cells in comparison to normal tissues. However, carcinoma cells within tumors are heterogeneous, and tumor-initiating cells (TICs) are important therapeutic targets that have remained metabolically uncharacterized. To understand their metabolic alterations, we performed metabolomics and metabolite tracing analyses, which revealed that TICs have highly elevated methionine cycle activity and transmethylation rates that are driven by MAT2A. High methionine cycle activity causes methionine consumption to far outstrip its regeneration, leading to addiction to exogenous methionine. Pharmacological inhibition of the methionine cycle, even transiently, is sufficient to cripple the tumor-initiating capability of these cells. Methionine cycle flux specifically influences the epigenetic state of cancer cells and drives tumor initiation. Methionine cycle enzymes are also enriched in other tumor types, and MAT2A expression impinges upon the sensitivity of certain cancer cells to therapeutic inhibition.
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Affiliation(s)
- Zhenxun Wang
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Lian Yee Yip
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jia Hui Jane Lee
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.,School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Zhengwei Wu
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.,Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Hui Yi Chew
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Pooi Kiat William Chong
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Chin Chye Teo
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Heather Yin-Kuan Ang
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kai Lay Esther Peh
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Ju Yuan
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Siming Ma
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Li Shi Kimberly Choo
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Nurhidayah Basri
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Xia Jiang
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Qiang Yu
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Axel M Hillmer
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Wan Teck Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore.,Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
| | - Tony Kiat Hon Lim
- Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore
| | - Angela Takano
- Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore
| | - Eng Huat Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Daniel Shao Weng Tan
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.,Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Ying Swan Ho
- Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Bing Lim
- Merck Sharp and Dohme Translational Medicine Research Centre, Singapore, Singapore.
| | - Wai Leong Tam
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore. .,School of Biological Sciences, Nanyang Technological University, Singapore, Singapore. .,Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. .,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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