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Wang Z, Liu J, Qiu X, Zhang D, Inuzuka H, Chen L, Chen H, Xie L, Kaniskan HÜ, Chen X, Jin J, Wei W. Methylated Nucleotide-Based Proteolysis-Targeting Chimera Enables Targeted Degradation of Methyl-CpG-Binding Protein 2. J Am Chem Soc 2023; 145:21871-21878. [PMID: 37774414 PMCID: PMC10979653 DOI: 10.1021/jacs.3c06023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/01/2023]
Abstract
Methyl-CpG-binding protein 2 (MeCP2), a reader of DNA methylation, has been extensively investigated for its function in neurological and neurodevelopmental disorders. Emerging evidence indicates that MeCP2 exerts an oncogenic function in cancer; however, the endeavor to develop a MeCP2-targeted therapy remains a challenge. This work attempts to address it by introducing a methylated nucleotide-based targeting chimera termed methyl-proteolysis-targeting chimera (methyl-PROTAC). The methyl-PROTAC incorporates a methylated cytosine into an oligodeoxynucleotide moiety to recruit MeCP2 for targeted degradation in a von Hippel-Lindau- and proteasome-dependent manner, thus displaying antiproliferative effects in cancer cells reliant on MeCP2 overexpression. This selective cytotoxicity endows methyl-PROTAC with the capacity to selectively eliminate cancer cells that are addicted to the overexpression of the MeCP2 oncoprotein. Furthermore, methyl-PROTAC-mediated MeCP2 degradation induces apoptosis in cancer cells. These findings underscore the therapeutic potential of methyl-PROTAC to degrade undruggable epigenetic regulatory proteins. In summary, the development of methyl-PROTAC introduces an innovative strategy by designing a modified nucleotide-based degradation approach for manipulating epigenetic factors, thereby representing a promising avenue for the advancement of PROTAC-based therapeutics.
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Affiliation(s)
- Zhen Wang
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, United States
| | - Jing Liu
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, United States
| | - Xing Qiu
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Dingpeng Zhang
- Department of Cancer Biology, Dana-Farber Cancer Institute; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts 02215, United States
| | - Hiroyuki Inuzuka
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, United States
| | - Li Chen
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, United States
| | - He Chen
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Ling Xie
- Department of Biochemistry & Biophysics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
- Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - H Ümit Kaniskan
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Xian Chen
- Department of Biochemistry & Biophysics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
- Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Jian Jin
- Mount Sinai Center for Therapeutics Discovery, Departments of Pharmacological Sciences, Oncological Sciences and Neuroscience, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States
| | - Wenyi Wei
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, United States
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Zhang Y, Smolen P, Alberini CM, Baxter DA, Byrne JH. Computational analysis of memory consolidation following inhibitory avoidance (IA) training in adult and infant rats: Critical roles of CaMKIIα and MeCP2. PLoS Comput Biol 2022; 18:e1010239. [PMID: 35759520 PMCID: PMC9269953 DOI: 10.1371/journal.pcbi.1010239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 07/08/2022] [Accepted: 05/23/2022] [Indexed: 11/18/2022] Open
Abstract
Key features of long-term memory (LTM), such as its stability and persistence, are acquired during processes collectively referred to as consolidation. The dynamics of biological changes during consolidation are complex. In adult rodents, consolidation exhibits distinct periods during which the engram is more or less resistant to disruption. Moreover, the ability to consolidate memories differs during developmental periods. Although the molecular mechanisms underlying consolidation are poorly understood, the initial stages rely on interacting signaling pathways that regulate gene expression, including brain-derived neurotrophic factor (BDNF) and Ca2+/calmodulin-dependent protein kinase II α (CaMKIIα) dependent feedback loops. We investigated the ways in which these pathways may contribute to developmental and dynamical features of consolidation. A computational model of molecular processes underlying consolidation following inhibitory avoidance (IA) training in rats was developed. Differential equations described the actions of CaMKIIα, multiple feedback loops regulating BDNF expression, and several transcription factors including methyl-CpG binding protein 2 (MeCP2), histone deacetylase 2 (HDAC2), and SIN3 transcription regulator family member A (Sin3a). This model provides novel explanations for the (apparent) rapid forgetting of infantile memory and the temporal progression of memory consolidation in adults. Simulations predict that dual effects of MeCP2 on the expression of bdnf, and interaction between MeCP2 and CaMKIIα, play critical roles in the rapid forgetting of infantile memory and the progress of memory resistance to disruptions. These insights suggest new potential targets of therapy for memory impairment.
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Affiliation(s)
- Yili Zhang
- Department of Neurobiology and Anatomy; W.M. Keck Center for the Neurobiology of Learning and Memory; The University of Texas Medical School at Houston, Houston, Texas, United States of America
| | - Paul Smolen
- Department of Neurobiology and Anatomy; W.M. Keck Center for the Neurobiology of Learning and Memory; The University of Texas Medical School at Houston, Houston, Texas, United States of America
| | - Cristina M. Alberini
- Center for Neural Science, New York University, New York City, New York, United States of America
| | - Douglas A. Baxter
- Department of Neurobiology and Anatomy; W.M. Keck Center for the Neurobiology of Learning and Memory; The University of Texas Medical School at Houston, Houston, Texas, United States of America
- Department of Neurobiology and Experimental Therapeutics, College of Medicine, Texas A&M University, Houston, Texas, United States of America
| | - John H. Byrne
- Department of Neurobiology and Anatomy; W.M. Keck Center for the Neurobiology of Learning and Memory; The University of Texas Medical School at Houston, Houston, Texas, United States of America
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