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Xie J, Zhuang Z, Gou S, Zhang Q, Wang X, Lan T, Lian M, Li N, Liang Y, Ouyang Z, Ye Y, Wu H, Lai L, Wang K. Precise genome editing of the Kozak sequence enables bidirectional and quantitative modulation of protein translation to anticipated levels without affecting transcription. Nucleic Acids Res 2023; 51:10075-10093. [PMID: 37650635 PMCID: PMC10570039 DOI: 10.1093/nar/gkad687] [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] [Received: 10/25/2022] [Revised: 07/31/2023] [Accepted: 08/10/2023] [Indexed: 09/01/2023] Open
Abstract
None of the existing approaches for regulating gene expression can bidirectionally and quantitatively fine-tune gene expression to desired levels. Here, on the basis of precise manipulations of the Kozak sequence, which has a remarkable influence on translation initiation, we proposed and validated a novel strategy to directly modify the upstream nucleotides of the translation initiation codon of a given gene to flexibly alter the gene translation level by using base editors and prime editors. When the three nucleotides upstream of the translation initiation codon (named KZ3, part of the Kozak sequence), which exhibits the most significant base preference of the Kozak sequence, were selected as the editing region to alter the translation levels of proteins, we confirmed that each of the 64 KZ3 variants had a different translation efficiency, but all had similar transcription levels. Using the ranked KZ3 variants with different translation efficiencies as predictors, base editor- and prime editor-mediated mutations of KZ3 in the local genome could bidirectionally and quantitatively fine-tune gene translation to the anticipated levels without affecting transcription in vitro and in vivo. Notably, this strategy can be extended to the whole Kozak sequence and applied to all protein-coding genes in all eukaryotes.
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Affiliation(s)
- Jingke Xie
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya 572000, China
- Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, Wuyi University, Jiangmen 529020, China
| | - Zhenpeng Zhuang
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shixue Gou
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya 572000, China
| | - Quanjun Zhang
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya 572000, China
- Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou 510530, China
| | - Xia Wang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou 510005, China
| | - Ting Lan
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Meng Lian
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou 510530, China
| | - Nan Li
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya 572000, China
- Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, Wuyi University, Jiangmen 529020, China
| | - Yanhui Liang
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya 572000, China
| | - Zhen Ouyang
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya 572000, China
- Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, Wuyi University, Jiangmen 529020, China
- Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou 510530, China
| | - Yinghua Ye
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya 572000, China
- Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou 510530, China
| | - Han Wu
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya 572000, China
- Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou 510530, China
| | - Liangxue Lai
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya 572000, China
- Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, Wuyi University, Jiangmen 529020, China
- Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou 510530, China
| | - Kepin Wang
- China–New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China
- Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya 572000, China
- Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, Wuyi University, Jiangmen 529020, China
- Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou 510530, China
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Bermúdez G, Bernal C, Otalora A, Sanchez P, Nardocci G, Cañas A, Lopez-Kleine L, Montecino M, Rojas A. Long Noncoding RNA TALAM1 Is a Transcriptional Target of the RUNX2 Transcription Factor in Lung Adenocarcinoma. Curr Issues Mol Biol 2023; 45:7075-7086. [PMID: 37754231 PMCID: PMC10529414 DOI: 10.3390/cimb45090447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 08/15/2023] [Accepted: 08/18/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Lung cancer is the leading cause of cancer death worldwide. It has been reported that genetic and epigenetic factors play a crucial role in the onset and evolution of lung cancer. Previous reports have shown that essential transcription factors in embryonic development contribute to this pathology. Runt-related transcription factor (RUNX) proteins belong to a family of master regulators of embryonic developmental programs. Specifically, RUNX2 is the master transcription factor (TF) of osteoblastic differentiation, and it can be involved in pathological conditions such as prostate, thyroid, and lung cancer by regulating apoptosis and mesenchymal-epithelial transition processes. In this paper, we identified TALAM1 (Metastasis Associated Lung Adenocarcinoma Transcript 1) as a genetic target of the RUNX2 TF in lung cancer and then performed functional validation of the main findings. METHODS We performed ChIP-seq analysis of tumor samples from a patient diagnosed with lung adenocarcinoma to evaluate the target genes of the RUNX2 TF. In addition, we performed shRNA-mediated knockdown of RUNX2 in this lung adenocarcinoma cell line to confirm the regulatory role of RUNX2 in TALAM1 expression. RESULTS We observed RUNX2 overexpression in cell lines and primary cultured lung cancer cells. Interestingly, we found that lncRNA TALAM1 was a target of RUNX2 and that RUNX2 exerted a negative regulatory effect on TALAM1 transcription.
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Affiliation(s)
- Gisella Bermúdez
- Institute of Human Genetics, Facultad de Medicina, Pontificia Universidad Javeriana Bogotá, Bogotá 110231, Colombia; (G.B.); (C.B.); (A.O.); (P.S.)
| | - Camila Bernal
- Institute of Human Genetics, Facultad de Medicina, Pontificia Universidad Javeriana Bogotá, Bogotá 110231, Colombia; (G.B.); (C.B.); (A.O.); (P.S.)
| | - Andrea Otalora
- Institute of Human Genetics, Facultad de Medicina, Pontificia Universidad Javeriana Bogotá, Bogotá 110231, Colombia; (G.B.); (C.B.); (A.O.); (P.S.)
- Facultad de Medicina, Universidad Nacional de Colombia, Bogotá 110211, Colombia
| | - Paula Sanchez
- Institute of Human Genetics, Facultad de Medicina, Pontificia Universidad Javeriana Bogotá, Bogotá 110231, Colombia; (G.B.); (C.B.); (A.O.); (P.S.)
| | - Gino Nardocci
- School of Medicine, Faculty of Medicine, Universidad de los Andes, Santiago 7620001, Chile;
- Molecular Biology and Bioinformatics Lab., Program in Molecular Biology and Bioinformatics, Center for Biomedical Research and Innovation (CIIB), Universidad de los Andes, Santiago 7620001, Chile
- IMPACT, Center of Interventional Medicine for Precision and Advanced Cellular Therapy, Santiago 7620001, Chile
| | - Alejandra Cañas
- Departamento de Medicina Interna, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá 110231, Colombia;
| | - Liliana Lopez-Kleine
- Departamento de Estadística, Universidad Nacional de Colombia, Bogotá 111321, Colombia;
| | - Martín Montecino
- Institute of Biomedical Sciences, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andres Bello, Santiago 8370134, Chile;
| | - Adriana Rojas
- Institute of Human Genetics, Facultad de Medicina, Pontificia Universidad Javeriana Bogotá, Bogotá 110231, Colombia; (G.B.); (C.B.); (A.O.); (P.S.)
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Yadav K, Sahu KK, Sucheta, Gnanakani SPE, Sure P, Vijayalakshmi R, Sundar VD, Sharma V, Antil R, Jha M, Minz S, Bagchi A, Pradhan M. Biomedical applications of nanomaterials in the advancement of nucleic acid therapy: Mechanistic challenges, delivery strategies, and therapeutic applications. Int J Biol Macromol 2023; 241:124582. [PMID: 37116843 DOI: 10.1016/j.ijbiomac.2023.124582] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 04/19/2023] [Accepted: 04/20/2023] [Indexed: 04/30/2023]
Abstract
In the past few decades, substantial advancement has been made in nucleic acid (NA)-based therapies. Promising treatments include mRNA, siRNA, miRNA, and anti-sense DNA for treating various clinical disorders by modifying the expression of DNA or RNA. However, their effectiveness is limited due to their concentrated negative charge, instability, large size, and host barriers, which make widespread application difficult. The effective delivery of these medicines requires safe vectors that are efficient & selective while having non-pathogenic qualities; thus, nanomaterials have become an attractive option with promising possibilities despite some potential setbacks. Nanomaterials possess ideal characteristics, allowing them to be tuned into functional bio-entity capable of targeted delivery. In this review, current breakthroughs in the non-viral strategy of delivering NAs are discussed with the goal of overcoming challenges that would otherwise be experienced by therapeutics. It offers insight into a wide variety of existing NA-based therapeutic modalities and techniques. In addition to this, it provides a rationale for the use of non-viral vectors and a variety of nanomaterials to accomplish efficient gene therapy. Further, it discusses the potential for biomedical application of nanomaterials-based gene therapy in various conditions, such as cancer therapy, tissue engineering, neurological disorders, and infections.
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Affiliation(s)
- Krishna Yadav
- Raipur Institute of Pharmaceutical Education and Research, Sarona, Raipur, Chhattisgarh 492010, India
| | - Kantrol Kumar Sahu
- Institute of Pharmaceutical Research, GLA University, Mathura, Uttar Pradesh 281406, India
| | - Sucheta
- School of Medical and Allied Sciences, K. R. Mangalam University, Gurugram, Haryana 122103, India
| | | | - Pavani Sure
- Department of Pharmaceutics, Vignan Institute of Pharmaceutical Sciences, Hyderabad, Telangana, India
| | - R Vijayalakshmi
- Department of Pharmaceutical Analysis, GIET School of Pharmacy, Chaitanya Knowledge City, Rajahmundry, AP 533296, India
| | - V D Sundar
- Department of Pharmaceutical Technology, GIET School of Pharmacy, Chaitanya Knowledge City, Rajahmundry, AP 533296, India
| | - Versha Sharma
- Department of Biotechnology, School of Biological Sciences, Dr. Harisingh Gour Central University, Sagar, M.P. 470003, India
| | - Ruchita Antil
- Addenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trust, England, United Kingdom of Great Britain and Northern Ireland
| | - Megha Jha
- Department of Biotechnology, School of Biological Sciences, Dr. Harisingh Gour Central University, Sagar, M.P. 470003, India
| | - Sunita Minz
- Department of Pharmacy, Indira Gandhi National Tribal University, Amarkantak, M.P., 484887, India
| | - Anindya Bagchi
- Tumor Initiation & Maintenance Program, Sanford Burnham Prebys Medical Discovery Institute, 10901 North Torrey Pines Road La Jolla, CA 92037, USA
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Chaperone-Dependent Mechanisms as a Pharmacological Target for Neuroprotection. Int J Mol Sci 2023; 24:ijms24010823. [PMID: 36614266 PMCID: PMC9820882 DOI: 10.3390/ijms24010823] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 12/26/2022] [Accepted: 12/27/2022] [Indexed: 01/05/2023] Open
Abstract
Modern pharmacotherapy of neurodegenerative diseases is predominantly symptomatic and does not allow vicious circles causing disease development to break. Protein misfolding is considered the most important pathogenetic factor of neurodegenerative diseases. Physiological mechanisms related to the function of chaperones, which contribute to the restoration of native conformation of functionally important proteins, evolved evolutionarily. These mechanisms can be considered promising for pharmacological regulation. Therefore, the aim of this review was to analyze the mechanisms of endoplasmic reticulum stress (ER stress) and unfolded protein response (UPR) in the pathogenesis of neurodegenerative diseases. Data on BiP and Sigma1R chaperones in clinical and experimental studies of Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and Huntington's disease are presented. The possibility of neuroprotective effect dependent on Sigma1R ligand activation in these diseases is also demonstrated. The interaction between Sigma1R and BiP-associated signaling in the neuroprotection is discussed. The performed analysis suggests the feasibility of pharmacological regulation of chaperone function, possibility of ligand activation of Sigma1R in order to achieve a neuroprotective effect, and the need for further studies of the conjugation of cellular mechanisms controlled by Sigma1R and BiP chaperones.
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Ambrosini C, Destefanis E, Kheir E, Broso F, Alessandrini F, Longhi S, Battisti N, Pesce I, Dassi E, Petris G, Cereseto A, Quattrone A. Translational enhancement by base editing of the Kozak sequence rescues haploinsufficiency. Nucleic Acids Res 2022; 50:10756-10771. [PMID: 36165847 PMCID: PMC9561285 DOI: 10.1093/nar/gkac799] [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: 04/24/2022] [Revised: 09/01/2022] [Accepted: 09/22/2022] [Indexed: 11/28/2022] Open
Abstract
A variety of single-gene human diseases are caused by haploinsufficiency, a genetic condition by which mutational inactivation of one allele leads to reduced protein levels and functional impairment. Translational enhancement of the spare allele could exert a therapeutic effect. Here we developed BOOST, a novel gene-editing approach to rescue haploinsufficiency loci by the change of specific single nucleotides in the Kozak sequence, which controls translation by regulating start codon recognition. We evaluated for translational strength 230 Kozak sequences of annotated human haploinsufficient genes and 4621 derived variants, which can be installed by base editing, by a high-throughput reporter assay. Of these variants, 149 increased the translation of 47 Kozak sequences, demonstrating that a substantial proportion of haploinsufficient genes are controlled by suboptimal Kozak sequences. Validation of 18 variants for 8 genes produced an average enhancement in an expression window compatible with the rescue of the genetic imbalance. Base editing of the NCF1 gene, whose monoallelic loss causes chronic granulomatous disease, resulted in the desired increase of NCF1 (p47phox) protein levels in a relevant cell model. We propose BOOST as a fine-tuned approach to modulate translation, applicable to the correction of dozens of haploinsufficient monogenic disorders independently of the causing mutation.
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Affiliation(s)
- Chiara Ambrosini
- Laboratory of Translational Genomics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento 38123, Italy
| | - Eliana Destefanis
- Laboratory of Translational Genomics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento 38123, Italy
| | - Eyemen Kheir
- Laboratory of Molecular Virology, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento 38123, Italy
| | - Francesca Broso
- Laboratory of Translational Genomics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento 38123, Italy
| | - Federica Alessandrini
- Laboratory of Translational Genomics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento 38123, Italy
| | - Sara Longhi
- Laboratory of Translational Genomics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento 38123, Italy
| | - Nicolò Battisti
- Laboratory of Translational Genomics, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento 38123, Italy
| | - Isabella Pesce
- Cell Analysis and Separation Core Facility, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento 38123, Italy
| | - Erik Dassi
- Laboratory of RNA Regulatory Networks, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento 38123, Italy
| | - Gianluca Petris
- Medical Research Council Laboratory of Molecular Biology (MRC LMB), Cambridge CB2 0QH, UK
| | - Anna Cereseto
- Laboratory of Molecular Virology, Department of Cellular, Computational and Integrative Biology - CIBIO, University of Trento, Trento 38123, Italy
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