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Allemailem KS, Almatroudi A, Rahmani AH, Alrumaihi F, Alradhi AE, Alsubaiyel AM, Algahtani M, Almousa RM, Mahzari A, Sindi AAA, Dobie G, Khan AA. Recent Updates of the CRISPR/Cas9 Genome Editing System: Novel Approaches to Regulate Its Spatiotemporal Control by Genetic and Physicochemical Strategies. Int J Nanomedicine 2024; 19:5335-5363. [PMID: 38859956 PMCID: PMC11164216 DOI: 10.2147/ijn.s455574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 05/30/2024] [Indexed: 06/12/2024] Open
Abstract
The genome editing approach by clustered regularly interspaced short palindromic repeats (CRISPR)/associated protein 9 (CRISPR/Cas9) is a revolutionary advancement in genetic engineering. Owing to its simple design and powerful genome-editing capability, it offers a promising strategy for the treatment of different infectious, metabolic, and genetic diseases. The crystal structure of Streptococcus pyogenes Cas9 (SpCas9) in complex with sgRNA and its target DNA at 2.5 Å resolution reveals a groove accommodating sgRNA:DNA heteroduplex within a bilobate architecture with target recognition (REC) and nuclease (NUC) domains. The presence of a PAM is significantly required for target recognition, R-loop formation, and strand scission. Recently, the spatiotemporal control of CRISPR/Cas9 genome editing has been considerably improved by genetic, chemical, and physical regulatory strategies. The use of genetic modifiers anti-CRISPR proteins, cell-specific promoters, and histone acetyl transferases has uplifted the application of CRISPR/Cas9 as a future-generation genome editing tool. In addition, interventions by chemical control, small-molecule activators, oligonucleotide conjugates and bioresponsive delivery carriers have improved its application in other areas of biological fields. Furthermore, the intermediation of physical control by using heat-, light-, magnetism-, and ultrasound-responsive elements attached to this molecular tool has revolutionized genome editing further. These strategies significantly reduce CRISPR/Cas9's undesirable off-target effects. However, other undesirable effects still offer some challenges for comprehensive clinical translation using this genome-editing approach. In this review, we summarize recent advances in CRISPR/Cas9 structure, mechanistic action, and the role of small-molecule activators, inhibitors, promoters, and physical approaches. Finally, off-target measurement approaches, challenges, future prospects, and clinical applications are discussed.
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Affiliation(s)
- Khaled S Allemailem
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia
| | - Ahmad Almatroudi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia
| | - Arshad Husain Rahmani
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia
| | - Faris Alrumaihi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia
| | - Arwa Essa Alradhi
- General Administration for Infectious Disease Control, Ministry of Health, Riyadh 12382, Saudi Arabia
| | - Amal M Alsubaiyel
- Department of Pharmaceutics, College of Pharmacy, Qassim University, Buraydah 51452, Saudi Arabia
| | - Mohammad Algahtani
- Department of Laboratory & Blood Bank, Security Forces Hospital, Mecca 21955, Saudi Arabia
| | - Rand Mohammad Almousa
- Department of Education, General Directorate of Education, Qassim 52361, Saudi Arabia
| | - Ali Mahzari
- Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Al-Baha University, Al-Baha 65527, Saudi Arabia
| | - Abdulmajeed A A Sindi
- Department of Basic Medical Sciences, Faculty of Applied Medical Sciences, Al-Baha University, Al-Baha 65527, Saudi Arabia
| | - Gasim Dobie
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Gizan 82911, Saudi Arabia
| | - Amjad Ali Khan
- Department of Basic Health Sciences, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia
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Yin X, Harmancey R, McPherson DD, Kim H, Huang SL. Liposome-Based Carriers for CRISPR Genome Editing. Int J Mol Sci 2023; 24:12844. [PMID: 37629024 PMCID: PMC10454197 DOI: 10.3390/ijms241612844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/04/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023] Open
Abstract
The CRISPR-based genome editing technology, known as clustered regularly interspaced short palindromic repeats (CRISPR), has sparked renewed interest in gene therapy. This interest is accompanied by the development of single-guide RNAs (sgRNAs), which enable the introduction of desired genetic modifications at the targeted site when used alongside the CRISPR components. However, the efficient delivery of CRISPR/Cas remains a challenge. Successful gene editing relies on the development of a delivery strategy that can effectively deliver the CRISPR cargo to the target site. To overcome this obstacle, researchers have extensively explored non-viral, viral, and physical methods for targeted delivery of CRISPR/Cas9 and a guide RNA (gRNA) into cells and tissues. Among those methods, liposomes offer a promising approach to enhance the delivery of CRISPR/Cas and gRNA. Liposomes facilitate endosomal escape and leverage various stimuli such as light, pH, ultrasound, and environmental cues to provide both spatial and temporal control of cargo release. Thus, the combination of the CRISPR-based system with liposome delivery technology enables precise and efficient genetic modifications in cells and tissues. This approach has numerous applications in basic research, biotechnology, and therapeutic interventions. For instance, it can be employed to correct genetic mutations associated with inherited diseases and other disorders or to modify immune cells to enhance their disease-fighting capabilities. In summary, liposome-based CRISPR genome editing provides a valuable tool for achieving precise and efficient genetic modifications. This review discusses future directions and opportunities to further advance this rapidly evolving field.
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Affiliation(s)
- Xing Yin
- Division of Cardiovascular Medicine, Department of Internal Medicine, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Romain Harmancey
- Division of Cardiovascular Medicine, Department of Internal Medicine, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - David D McPherson
- Division of Cardiovascular Medicine, Department of Internal Medicine, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Hyunggun Kim
- Department of Biomechatronic Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Shao-Ling Huang
- Division of Cardiovascular Medicine, Department of Internal Medicine, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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Kraus C, Sontheimer EJ. Applications of Anti-CRISPR Proteins in Genome Editing and Biotechnology. J Mol Biol 2023; 435:168120. [PMID: 37100169 DOI: 10.1016/j.jmb.2023.168120] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 04/28/2023]
Abstract
In the ten years since the discovery of the first anti-CRISPR (Acr) proteins, the number of validated Acrs has expanded rapidly, as has our understanding of the diverse mechanisms they employ to suppress natural CRISPR-Cas immunity. Many, though not all, function via direct, specific interaction with Cas protein effectors. The abilities of Acr proteins to modulate the activities and properties of CRISPR-Cas effectors have been exploited for an ever-increasing spectrum of biotechnological uses, most of which involve the establishment of control over genome editing systems. This control can be used to minimize off-target editing, restrict editing based on spatial, temporal, or conditional cues, limit the spread of gene drive systems, and select for genome-edited bacteriophages. Anti-CRISPRs have also been developed to overcome bacterial immunity, facilitate viral vector production, control synthetic gene circuits, and other purposes. The impressive and ever-growing diversity of Acr inhibitory mechanisms will continue to allow the tailored applications of Acrs.
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Affiliation(s)
| | - Erik J Sontheimer
- RNA Therapeutics Institute; Program in Molecular Medicine, and; Li Weibo Institute for Rare Diseases Research, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
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Zhuo C, Zhang J, Lee JH, Jiao J, Cheng D, Liu L, Kim HW, Tao Y, Li M. Spatiotemporal control of CRISPR/Cas9 gene editing. Signal Transduct Target Ther 2021; 6:238. [PMID: 34148061 PMCID: PMC8214627 DOI: 10.1038/s41392-021-00645-w] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 04/09/2021] [Accepted: 05/13/2021] [Indexed: 02/06/2023] Open
Abstract
The clustered regularly interspaced short palindromic repeats (CRISPR)/associated protein 9 (CRISPR/Cas9) gene editing technology, as a revolutionary breakthrough in genetic engineering, offers a promising platform to improve the treatment of various genetic and infectious diseases because of its simple design and powerful ability to edit different loci simultaneously. However, failure to conduct precise gene editing in specific tissues or cells within a certain time may result in undesirable consequences, such as serious off-target effects, representing a critical challenge for the clinical translation of the technology. Recently, some emerging strategies using genetic regulation, chemical and physical strategies to regulate the activity of CRISPR/Cas9 have shown promising results in the improvement of spatiotemporal controllability. Herein, in this review, we first summarize the latest progress of these advanced strategies involving cell-specific promoters, small-molecule activation and inhibition, bioresponsive delivery carriers, and optical/thermal/ultrasonic/magnetic activation. Next, we highlight the advantages and disadvantages of various strategies and discuss their obstacles and limitations in clinical translation. Finally, we propose viewpoints on directions that can be explored to further improve the spatiotemporal operability of CRISPR/Cas9.
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Grants
- the Guangdong Province Science and Technology Innovation Special Fund (International Scientific Cooperation, 2018A050506035), the National Natural Science Foundation of China (51903256).
- the National Key Research and Development Program of China (2016YFE0117100), the National Natural Science Foundation of China (21875289 and U1501243), the Guangdong-Hong Kong Joint Innovation Project (2016A050503026), the Major Project on the Integration of Industry, Education and Research of Guangzhou City (201704030123), the Science and Technology Program of Guangzhou (201704020016), the Guangdong Innovative and Entrepreneurial Research Team Program (2013S086)
- National Research Foundation, Republic of Korea (2015K1A1A2032163, 2018K1A4A3A01064257, 2018R1A2B3003446)
- the National Key Research and Development Program of China (2019YFA0111300, 2016YFE0117100), the National Natural Science Foundation of China (21907113), the Guangdong Provincial Pearl River Talents Program (2019QN01Y131), the Thousand Talents Plan.
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Affiliation(s)
- Chenya Zhuo
- Laboratory of Biomaterials and Translational Medicine, Center for Nanomedicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiabin Zhang
- Laboratory of Biomaterials and Translational Medicine, Center for Nanomedicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jung-Hwan Lee
- Institute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan, South Korea
| | - Ju Jiao
- Department of Nuclear Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Du Cheng
- PCFM Lab of Ministry of Education, School of Materials Science and Engineering, Sun Yat-sen University, Guangzhou, China
| | - Li Liu
- Department of Gynecology and Obstetrics, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hae-Won Kim
- Institute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan, South Korea.
| | - Yu Tao
- Laboratory of Biomaterials and Translational Medicine, Center for Nanomedicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
| | - Mingqiang Li
- Laboratory of Biomaterials and Translational Medicine, Center for Nanomedicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Liver Disease Research, Guangzhou, China.
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Kotowski M, Sharma S. CRISPR-Based Editing Techniques for Genetic Manipulation of Primary T Cells. Methods Protoc 2020; 3:mps3040079. [PMID: 33217926 PMCID: PMC7720142 DOI: 10.3390/mps3040079] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 11/12/2020] [Accepted: 11/14/2020] [Indexed: 12/15/2022] Open
Abstract
While clustered regularly interspaced short palindromic repeats (CRISPR)-based genome editing techniques have been widely adapted for use in immortalised immune cells, efficient manipulation of primary T cells has proved to be more challenging. Nonetheless, the rapid expansion of the CRISPR toolbox accompanied by the development of techniques for delivery of CRISPR components into primary T cells now affords the possibility to genetically manipulate primary T cells both with precision and at scale. Here, we review the key features of the techniques for primary T cell editing and discuss how the new generation of CRISPR-based tools may advance genetic engineering of these immune cells. This improved ability to genetically manipulate primary T cells will further enhance our fundamental understanding of cellular signalling and transcriptional networks in T cells and more importantly has the potential to revolutionise T cell-based therapies.
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Schober K, Müller TR, Busch DH. Orthotopic T-Cell Receptor Replacement-An "Enabler" for TCR-Based Therapies. Cells 2020; 9:E1367. [PMID: 32492858 PMCID: PMC7348731 DOI: 10.3390/cells9061367] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/25/2020] [Accepted: 05/28/2020] [Indexed: 12/18/2022] Open
Abstract
Natural adaptive immunity co-evolved with pathogens over millions of years, and adoptive transfer of non-engineered T cells to fight infections or cancer so far exhibits an exceptionally safe and functional therapeutic profile in clinical trials. However, the personalized nature of therapies using virus-specific T cells, donor lymphocyte infusion, or tumor-infiltrating lymphocytes makes implementation in routine clinical care difficult. In principle, genetic engineering can be used to make T-cell therapies more broadly applicable, but so far it significantly alters the physiology of cells. We recently demonstrated that orthotopic T-cell receptor (TCR) replacement (OTR) by clustered regularly interspaced short palindromic repeats (CRISPR)/ CRISPR-associated protein 9 (Cas9) can be used to generate engineered T cells with preservation of near-physiological function. In this review, we present the current status of OTR technology development and discuss its potential for TCR-based therapies. By providing the means to combine the therapeutic efficacy and safety profile of physiological T cells with the versatility of cell engineering, OTR can serve as an "enabler" for TCR-based therapies.
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Affiliation(s)
- Kilian Schober
- Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München (TUM), 81675 Munich, Germany;
- German Center for Infection Research (DZIF), Partner Site Munich, 81675 Munich, Germany
| | - Thomas R. Müller
- Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München (TUM), 81675 Munich, Germany;
- German Center for Infection Research (DZIF), Partner Site Munich, 81675 Munich, Germany
| | - Dirk H. Busch
- Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München (TUM), 81675 Munich, Germany;
- German Center for Infection Research (DZIF), Partner Site Munich, 81675 Munich, Germany
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7
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Dong MB, Wang G, Chow RD, Ye L, Zhu L, Dai X, Park JJ, Kim HR, Errami Y, Guzman CD, Zhou X, Chen KY, Renauer PA, Du Y, Shen J, Lam SZ, Zhou JJ, Lannin DR, Herbst RS, Chen S. Systematic Immunotherapy Target Discovery Using Genome-Scale In Vivo CRISPR Screens in CD8 T Cells. Cell 2019; 178:1189-1204.e23. [PMID: 31442407 PMCID: PMC6719679 DOI: 10.1016/j.cell.2019.07.044] [Citation(s) in RCA: 173] [Impact Index Per Article: 34.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 05/17/2019] [Accepted: 07/24/2019] [Indexed: 12/12/2022]
Abstract
CD8 T cells play essential roles in anti-tumor immune responses. Here, we performed genome-scale CRISPR screens in CD8 T cells directly under cancer immunotherapy settings and identified regulators of tumor infiltration and degranulation. The in vivo screen robustly re-identified canonical immunotherapy targets such as PD-1 and Tim-3, along with genes that have not been characterized in T cells. The infiltration and degranulation screens converged on an RNA helicase Dhx37. Dhx37 knockout enhanced the efficacy of antigen-specific CD8 T cells against triple-negative breast cancer in vivo. Immunological characterization in mouse and human CD8 T cells revealed that DHX37 suppresses effector functions, cytokine production, and T cell activation. Transcriptomic profiling and biochemical interrogation revealed a role for DHX37 in modulating NF-κB. These data demonstrate high-throughput in vivo genetic screens for immunotherapy target discovery and establishes DHX37 as a functional regulator of CD8 T cells.
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Affiliation(s)
- Matthew B Dong
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Yale MD-PhD Program, Yale University School of Medicine, New Haven, CT 06510, USA; Immunobiology Program, Yale University School of Medicine, New Haven, CT 06510, USA; Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Guangchuan Wang
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA
| | - Ryan D Chow
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Yale MD-PhD Program, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Lupeng Ye
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA
| | - Lvyun Zhu
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA
| | - Xiaoyun Dai
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA
| | - Jonathan J Park
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Yale MD-PhD Program, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Hyunu R Kim
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA
| | - Youssef Errami
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA
| | - Christopher D Guzman
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Immunobiology Program, Yale University School of Medicine, New Haven, CT 06510, USA; Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06510, USA; Combined Program in the Biological and Biomedical Sciences, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Xiaoyu Zhou
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA
| | - Krista Y Chen
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; The College, Yale University, New Haven, CT 06520, USA
| | - Paul A Renauer
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Combined Program in the Biological and Biomedical Sciences, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Yaying Du
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA
| | - Johanna Shen
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; The College, Yale University, New Haven, CT 06520, USA
| | - Stanley Z Lam
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; The College, Yale University, New Haven, CT 06520, USA
| | - Jingjia J Zhou
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; The College, Yale University, New Haven, CT 06520, USA
| | - Donald R Lannin
- Department of Surgery, Yale University School of Medicine, New Haven, CT 06510, USA; Breast Cancer Program, Yale University School of Medicine, New Haven, CT06510, USA; Smilow Cancer Hospital, 35 Park Street, New Haven, CT 06510; Yale Comprehensive Cancer Center, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Roy S Herbst
- Department of Medicine, Yale University School of Medicine, New Haven, CT 06510, USA; Department of Pharmacology, Yale University School of Medicine, New Haven, CT 06510, USA; Smilow Cancer Hospital, 35 Park Street, New Haven, CT 06510; Yale Comprehensive Cancer Center, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Sidi Chen
- Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA; System Biology Institute, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, Yale University, 850 W Campus Drive, West Haven, CT 06516, USA; Yale MD-PhD Program, Yale University School of Medicine, New Haven, CT 06510, USA; Immunobiology Program, Yale University School of Medicine, New Haven, CT 06510, USA; Combined Program in the Biological and Biomedical Sciences, Yale University School of Medicine, New Haven, CT 06510, USA; Yale Comprehensive Cancer Center, Yale University School of Medicine, New Haven, CT 06510, USA; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA; Yale Stem Cell Center, Yale University School of Medicine, New Haven, CT 06510, USA; Yale Liver Center, Yale University School of Medicine, New Haven, CT 06510, USA; Yale Center for Biomedical Data Science, Yale University School of Medicine, New Haven, CT 06510, USA.
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8
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Fan HH, Yu IS, Lin YH, Wang SY, Liaw YH, Chen PL, Yang TL, Lin SW, Chen YT. P53 ICE CRIM mouse: a tool to generate mutant allelic series in somatic cells and germ lines for cancer studies. FASEB J 2019; 33:5571-5584. [PMID: 30640520 DOI: 10.1096/fj.201802027r] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The clustered regularly interspaced short palindromic repeat (CRISPR)/Cas9 technology facilitates somatic genome editing to reveal cooperative genetic interactions at the cellular level without extensive breeding between different mutant animals. Here we propose a transgenic inducible Cas9 effector-CRISPR mutagen ( ICE CRIM) mouse model in which CRISPR/Cas9-mediated somatic mutagenesis events can occur in response to Cre expression. The well-known tumor suppressor gene, Trp53, and 2 important DNA mismatch repair genes, Mlh1 and Msh2, were selected to be our somatic mutagenesis targets. Amplicon-based sequencing was performed to validate the editing efficiency and to identify the mutant allelic series. Crossed with various Cre lines, the Trp53 ICE CRIM alleles were activated to generate targeted cancer gene somatic or germ line mutant variants. We provide experimental evidence to show that an activated ICE CRIM can mutate both targeted alleles within a cell. Simultaneous disruption of multiple genes was also achieved when there were multiple single-guide RNA expression cassettes embedded within an activated ICE CRIM. Our mouse model can be used to generate mutant pools in vivo, which enables a functional screen to be performed in situ. Our results also provide evidence to support a monoclonal origin of hematopoietic neoplasms and to indicate that DNA mismatch repair deficiency accelerates tumorigenesis in Trp53 mutant genetic background.-Fan, H.-H., Yu, I.-S., Lin, Y.-H., Wang, S.-Y., Liaw, Y.-H., Chen, P.-L., Yang, T.-L., Lin, S.-W., Chen, Y.-T. P53 ICE CRIM mouse: a tool to generate mutant allelic series in somatic cells and germ lines for cancer studies.
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Affiliation(s)
- Hsiang-Hsuan Fan
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - I-Shing Yu
- Laboratory Animal Center, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yin-Hung Lin
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shin-Yu Wang
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ying-Hsuan Liaw
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Pei-Lung Chen
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan
- Department of Medical Genetics, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan
| | - Tsung-Lin Yang
- Department of Otolaryngology, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
- Research Center for Developmental Biology and Regenerative Medicine, National Taiwan University, Taipei, Taiwan
| | - Shu-Wha Lin
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan; and
- Center of Genomic Medicine, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan
| | - You-Tzung Chen
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
- Research Center for Developmental Biology and Regenerative Medicine, National Taiwan University, Taipei, Taiwan
- Center of Genomic Medicine, National Taiwan University Hospital, National Taiwan University, Taipei, Taiwan
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9
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Huang D, Chen J, Yang L, Ouyang Q, Li J, Lao L, Zhao J, Liu J, Lu Y, Xing Y, Chen F, Su F, Yao H, Liu Q, Su S, Song E. NKILA lncRNA promotes tumor immune evasion by sensitizing T cells to activation-induced cell death. Nat Immunol 2018; 19:1112-1125. [PMID: 30224822 DOI: 10.1038/s41590-018-0207-y] [Citation(s) in RCA: 290] [Impact Index Per Article: 48.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Accepted: 08/07/2018] [Indexed: 12/29/2022]
Abstract
Activation-induced cell death (AICD) of T lymphocytes can be exploited by cancers to escape immunological destruction. We demonstrated that tumor-specific cytotoxic T lymphocytes (CTLs) and type 1 helper T (TH1) cells, rather than type 2 helper T cells and regulatory T cells, were sensitive to AICD in breast and lung cancer microenvironments. NKILA, an NF-κB-interacting long noncoding RNA (lncRNA), regulates T cell sensitivity to AICD by inhibiting NF-κB activity. Mechanistically, calcium influx in stimulated T cells via T cell-receptor signaling activates calmodulin, thereby removing deacetylase from the NKILA promoter and enhancing STAT1-mediated transcription. Administering CTLs with NKILA knockdown effectively inhibited growth of breast cancer patient-derived xenografts in mice by increasing CTL infiltration. Clinically, NKILA overexpression in tumor-specific CTLs and TH1 cells correlated with their apoptosis and shorter patient survival. Our findings underscore the importance of lncRNAs in determining tumor-mediated T cell AICD and suggest that engineering lncRNAs in adoptively transferred T cells might provide a novel antitumor immunotherapy.
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Affiliation(s)
- Di Huang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jianing Chen
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Linbin Yang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Qian Ouyang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jiaqian Li
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Liyan Lao
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jinghua Zhao
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jiang Liu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yiwen Lu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yue Xing
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Fei Chen
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Fengxi Su
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Herui Yao
- Department of Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Qiang Liu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Shicheng Su
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China. .,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
| | - Erwei Song
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China. .,Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China. .,Program in Molecular Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
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10
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Luo YL, Xu CF, Li HJ, Cao ZT, Liu J, Wang JL, Du XJ, Yang XZ, Gu Z, Wang J. Macrophage-Specific in Vivo Gene Editing Using Cationic Lipid-Assisted Polymeric Nanoparticles. ACS NANO 2018; 12:994-1005. [PMID: 29314827 DOI: 10.1021/acsnano.7b07874] [Citation(s) in RCA: 134] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The CRISPR/Cas9 gene editing technology holds promise for the treatment of multiple diseases. However, the inability to perform specific gene editing in targeted tissues and cells, which may cause off-target effects, is one of the critical bottlenecks for therapeutic application of CRISPR/Cas9. Herein, macrophage-specific promoter-driven Cas9 expression plasmids (pM458 and pM330) were constructed and encapsulated in cationic lipid-assisted PEG-b-PLGA nanoparticles (CLAN). The obtained nanoparticles encapsulating the CRISPR/Cas9 plasmids were able to specifically express Cas9 in macrophages as well as their precursor monocytes both in vitro and in vivo. More importantly, after further encoding a guide RNA targeting Ntn1 (sgNtn1) into the plasmid, the resultant CLANpM330/sgNtn1 successfully disrupted the Ntn1 gene in macrophages and their precursor monocytes in vivo, which reduced expression of netrin-1 (encoded by Ntn1) and subsequently improved type 2 diabetes (T2D) symptoms. Meanwhile, the Ntn1 gene was not disrupted in other cells due to specific expression of Cas9 by the CD68 promoter. This strategy provides alternative avenues for specific in vivo gene editing with the CRISPR/Cas9 system.
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Affiliation(s)
- Ying-Li Luo
- School of Life Sciences, University of Science and Technology of China , Hefei, Anhui 230027, People's Republic of China
| | - Cong-Fei Xu
- Institutes for Life Sciences and School of Medicine, South China University of Technology , Guangzhou, Guangdong 510006, People's Republic of China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology , Guangzhou, Guangdong 510006, People's Republic of China
| | - Hong-Jun Li
- Institutes for Life Sciences and School of Medicine, South China University of Technology , Guangzhou, Guangdong 510006, People's Republic of China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology , Guangzhou, Guangdong 510006, People's Republic of China
| | - Zhi-Ting Cao
- Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China , Hefei, Anhui 230027, People's Republic of China
| | - Jing Liu
- School of Life Sciences, University of Science and Technology of China , Hefei, Anhui 230027, People's Republic of China
| | - Ji-Long Wang
- School of Life Sciences, University of Science and Technology of China , Hefei, Anhui 230027, People's Republic of China
| | - Xiao-Jiao Du
- Institutes for Life Sciences and School of Medicine, South China University of Technology , Guangzhou, Guangdong 510006, People's Republic of China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology , Guangzhou, Guangdong 510006, People's Republic of China
| | - Xian-Zhu Yang
- Institutes for Life Sciences and School of Medicine, South China University of Technology , Guangzhou, Guangdong 510006, People's Republic of China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology , Guangzhou, Guangdong 510006, People's Republic of China
| | - Zhen Gu
- Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill and North Carolina State University , Raleigh, North Carolina 27695, United States
| | - Jun Wang
- School of Life Sciences, University of Science and Technology of China , Hefei, Anhui 230027, People's Republic of China
- Institutes for Life Sciences and School of Medicine, South China University of Technology , Guangzhou, Guangdong 510006, People's Republic of China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology , Guangzhou, Guangdong 510006, People's Republic of China
- Research Institute for Food Nutrition and Human Health , Guangzhou, Guangdong 510006, People's Republic of China
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11
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Kornete M, Marone R, Jeker LT. Highly Efficient and Versatile Plasmid-Based Gene Editing in Primary T Cells. THE JOURNAL OF IMMUNOLOGY 2018; 200:2489-2501. [PMID: 29445007 DOI: 10.4049/jimmunol.1701121] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 01/22/2018] [Indexed: 12/31/2022]
Abstract
Adoptive cell transfer is an important approach for basic research and emerges as an effective treatment for various diseases, including infections and blood cancers. Direct genetic manipulation of primary immune cells opens up unprecedented research opportunities and could be applied to enhance cellular therapeutic products. In this article, we report highly efficient genome engineering in primary murine T cells using a plasmid-based RNA-guided CRISPR system. We developed a straightforward approach to ablate genes in up to 90% of cells and to introduce precisely targeted single nucleotide polymorphisms in up to 25% of the transfected primary T cells. We used gene editing-mediated allele switching to quantify homology-directed repair, systematically optimize experimental parameters, and map a native B cell epitope in primary T cells. Allele switching of a surrogate cell surface marker can be used to enrich cells, with successful simultaneous editing of a second gene of interest. Finally, we applied the approach to correct two disease-causing mutations in the Foxp3 gene. Repairing the cause of the scurfy syndrome, a 2-bp insertion in Foxp3, and repairing the clinically relevant Foxp3K276X mutation restored Foxp3 expression in primary T cells.
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Affiliation(s)
- Mara Kornete
- Department of Biomedicine, Basel University Hospital and University of Basel, CH-4031 Basel, Switzerland; and Transplantation Immunology and Nephrology, Basel University Hospital, CH-4031 Basel, Switzerland
| | - Romina Marone
- Department of Biomedicine, Basel University Hospital and University of Basel, CH-4031 Basel, Switzerland; and Transplantation Immunology and Nephrology, Basel University Hospital, CH-4031 Basel, Switzerland
| | - Lukas T Jeker
- Department of Biomedicine, Basel University Hospital and University of Basel, CH-4031 Basel, Switzerland; and Transplantation Immunology and Nephrology, Basel University Hospital, CH-4031 Basel, Switzerland
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