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Ng BW, Kaukonen MK, McClements ME, Shamsnajafabadi H, MacLaren RE, Cehajic-Kapetanovic J. Genetic therapies and potential therapeutic applications of CRISPR activators in the eye. Prog Retin Eye Res 2024:101289. [PMID: 39127142 DOI: 10.1016/j.preteyeres.2024.101289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 08/05/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024]
Abstract
Conventional gene therapy involving supplementation only treats loss-of-function diseases and is limited by viral packaging sizes, precluding therapy of large genes. The discovery of CRISPR/Cas has led to a paradigm shift in the field of genetic therapy, with the promise of precise gene editing, thus broadening the range of diseases that can be treated. The initial uses of CRISPR/Cas have focused mainly on gene editing or silencing of abnormal variants via utilising Cas endonuclease to trigger the target cell endogenous non-homologous end joining. Subsequently, the technology has evolved to modify the Cas enzyme and even its guide RNA, leading to more efficient editing tools in the form of base and prime editing. Further advancements of this CRISPR/Cas technology itself have expanded its functional repertoire from targeted editing to programmable transactivation, shifting the therapeutic focus to precise endogenous gene activation or upregulation with the potential for epigenetic modifications. In vivo experiments using this platform have demonstrated the potential of CRISPR-activators (CRISPRa) to treat various loss-of-function diseases, as well as in regenerative medicine, highlighting their versatility to overcome limitations associated with conventional strategies. This review summarises the molecular mechanisms of CRISPRa platforms, the current applications of this technology in vivo, and discusses potential solutions to translational hurdles for this therapy, with a focus on ophthalmic diseases.
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Affiliation(s)
- Benjamin Wj Ng
- Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Maria K Kaukonen
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford UK; NIHR Oxford Biomedical Research Centre, Oxford, UK; Department of Medical and Clinical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Michelle E McClements
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Hoda Shamsnajafabadi
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Robert E MacLaren
- Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Jasmina Cehajic-Kapetanovic
- Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford UK; NIHR Oxford Biomedical Research Centre, Oxford, UK.
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2
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Develtere W, Decaestecker W, Rombaut D, Anders C, Clicque E, Vuylsteke M, Jacobs TB. Continual improvement of CRISPR-induced multiplex mutagenesis in Arabidopsis. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 119:1158-1172. [PMID: 38713824 DOI: 10.1111/tpj.16785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/08/2024] [Accepted: 04/16/2024] [Indexed: 05/09/2024]
Abstract
CRISPR/Cas9 is currently the most powerful tool to generate mutations in plant genomes and more efficient tools are needed as the scale of experiments increases. In the model plant Arabidopsis, the choice of the promoter driving Cas9 expression is critical to generate germline mutations. Several optimal promoters have been reported. However, it is unclear which promoter is ideal as they have not been thoroughly tested side by side. Furthermore, most plant vectors still use one of the two Cas9 nuclear localization sequence (NLS) configurations initially reported. We genotyped more than 6000 Arabidopsis T2 plants to test seven promoters and six types of NLSs across 14 targets to systematically improve the generation of single and multiplex inheritable mutations. We found that the RPS5A promoter and bipartite NLS were individually the most efficient components. When combined, 99% of T2 plants contained at least one knockout (KO) mutation and 84% contained 4- to 7-plex KOs, the highest multiplexing KO rate in Arabidopsis to date. These optimizations will be useful to generate higher-order KOs in the germline of Arabidopsis and will likely be applicable to other CRISPR systems as well.
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Affiliation(s)
- Ward Develtere
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052, Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium
| | - Ward Decaestecker
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052, Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium
| | - Debbie Rombaut
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052, Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium
| | - Chantal Anders
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052, Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium
| | - Elke Clicque
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052, Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium
| | | | - Thomas B Jacobs
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 71, 9052, Ghent, Belgium
- VIB Center for Plant Systems Biology, Technologiepark 71, 9052, Ghent, Belgium
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3
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Liang Z, Huang C, Xia Y, Ye Z, Fan S, Zeng J, Guo S, Ma X, Sun L, Huo YX. Identification of functional sgRNA mutants lacking canonical secondary structure using high-throughput FACS screening. Cell Rep 2024; 43:114290. [PMID: 38823012 DOI: 10.1016/j.celrep.2024.114290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 04/22/2024] [Accepted: 05/13/2024] [Indexed: 06/03/2024] Open
Abstract
Coexpressing multiple identical single guide RNAs (sgRNAs) in CRISPR-dependent engineering triggers genetic instability and phenotype loss. To provide sgRNA derivatives for efficient DNA digestion, we design a high-throughput digestion-activity-dependent positive screening strategy and astonishingly obtain functional nonrepetitive sgRNA mutants with up to 48 out of the 61 nucleotides mutated, and these nonrepetitive mutants completely lose canonical secondary sgRNA structure in simulation. Cas9-sgRNA complexes containing these noncanonical sgRNAs maintain wild-type level of digestion activities in vivo, indicating that the Cas9 protein is compatible with or is able to adjust the secondary structure of sgRNAs. Using these noncanonical sgRNAs, we achieve multiplex genetic engineering for gene knockout and base editing in microbial cell factories. Libraries of strains with rewired metabolism are constructed, and overproducers of isobutanol or 1,3-propanediol are identified by biosensor-based fluorescence-activated cell sorting (FACS). This work sheds light on the remarkable flexibility of the secondary structure of functional sgRNA.
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Affiliation(s)
- Zeyu Liang
- Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Chaoyong Huang
- Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Yan Xia
- Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Zhaojin Ye
- Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Shunhua Fan
- Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Junwei Zeng
- Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Shuyuan Guo
- Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Xiaoyan Ma
- Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China; Beijing Institute of Technology (Tangshan) Translational Research Center, Hebei 063611, China
| | - Lichao Sun
- Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China; Beijing Institute of Technology (Tangshan) Translational Research Center, Hebei 063611, China
| | - Yi-Xin Huo
- Key Laboratory of Molecular Medicine and Biotherapy, Aerospace Center Hospital, School of Life Science, Beijing Institute of Technology, Beijing 100081, China; Beijing Institute of Technology (Tangshan) Translational Research Center, Hebei 063611, China.
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4
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Martinez-Terroba E, Plasek-Hegde LM, Chiotakakos I, Li V, de Miguel FJ, Robles-Oteiza C, Tyagi A, Politi K, Zamudio JR, Dimitrova N. Overexpression of Malat1 drives metastasis through inflammatory reprogramming of the tumor microenvironment. Sci Immunol 2024; 9:eadh5462. [PMID: 38875320 DOI: 10.1126/sciimmunol.adh5462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/23/2024] [Indexed: 06/16/2024]
Abstract
Expression of the long noncoding RNA (lncRNA) metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) correlates with tumor progression and metastasis in many tumor types. However, the impact and mechanism of action by which MALAT1 promotes metastatic disease remain elusive. Here, we used CRISPR activation (CRISPRa) to overexpress MALAT1/Malat1 in patient-derived lung adenocarcinoma (LUAD) cell lines and in the autochthonous K-ras/p53 LUAD mouse model. Malat1 overexpression was sufficient to promote the progression of LUAD to metastatic disease in mice. Overexpression of MALAT1/Malat1 enhanced cell mobility and promoted the recruitment of protumorigenic macrophages to the tumor microenvironment through paracrine secretion of CCL2/Ccl2. Ccl2 up-regulation was the result of increased global chromatin accessibility upon Malat1 overexpression. Macrophage depletion and Ccl2 blockade counteracted the effects of Malat1 overexpression. These data demonstrate that a single lncRNA can drive LUAD metastasis through reprogramming of the tumor microenvironment.
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Affiliation(s)
- Elena Martinez-Terroba
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA
| | - Leah M Plasek-Hegde
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA
| | - Ioannis Chiotakakos
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA
| | - Vincent Li
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095, USA
| | | | - Camila Robles-Oteiza
- Departments of Pathology and Internal Medicine (Section of Medical Oncology), Yale School of Medicine, New Haven, CT 06511, USA
| | - Antariksh Tyagi
- Yale Center for Genome Analysis, Yale University, New Haven, CT 06516, USA
| | - Katerina Politi
- Yale Cancer Center, Yale University, New Haven, CT 06511, USA
- Departments of Pathology and Internal Medicine (Section of Medical Oncology), Yale School of Medicine, New Haven, CT 06511, USA
| | - Jesse R Zamudio
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, CA 90095, USA
| | - Nadya Dimitrova
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA
- Yale Cancer Center, Yale University, New Haven, CT 06511, USA
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5
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Pacalin NM, Steinhart Z, Shi Q, Belk JA, Dorovskyi D, Kraft K, Parker KR, Shy BR, Marson A, Chang HY. Bidirectional epigenetic editing reveals hierarchies in gene regulation. Nat Biotechnol 2024:10.1038/s41587-024-02213-3. [PMID: 38760566 DOI: 10.1038/s41587-024-02213-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/19/2024] [Indexed: 05/19/2024]
Abstract
CRISPR perturbation methods are limited in their ability to study non-coding elements and genetic interactions. In this study, we developed a system for bidirectional epigenetic editing, called CRISPRai, in which we apply activating (CRISPRa) and repressive (CRISPRi) perturbations to two loci simultaneously in the same cell. We developed CRISPRai Perturb-seq by coupling dual perturbation gRNA detection with single-cell RNA sequencing, enabling study of pooled perturbations in a mixed single-cell population. We applied this platform to study the genetic interaction between two hematopoietic lineage transcription factors, SPI1 and GATA1, and discovered novel characteristics of their co-regulation on downstream target genes, including differences in SPI1 and GATA1 occupancy at genes that are regulated through different modes. We also studied the regulatory landscape of IL2 (interleukin-2) in Jurkat T cells, primary T cells and chimeric antigen receptor (CAR) T cells and elucidated mechanisms of enhancer-mediated IL2 gene regulation. CRISPRai facilitates investigation of context-specific genetic interactions, provides new insights into gene regulation and will enable exploration of non-coding disease-associated variants.
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Affiliation(s)
- Naomi M Pacalin
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Zachary Steinhart
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Quanming Shi
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Julia A Belk
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Dmytro Dorovskyi
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Katerina Kraft
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Kevin R Parker
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA
- Cartography Biosciences, Inc., South San Francisco, CA, USA
| | - Brian R Shy
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Alexander Marson
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
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6
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Devarajan A. Optically Controlled CRISPR-Cas9 and Cre Recombinase for Spatiotemporal Gene Editing: A Review. ACS Synth Biol 2024; 13:25-44. [PMID: 38134336 DOI: 10.1021/acssynbio.3c00596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
CRISPR-Cas9 and Cre recombinase, two tools extensively used for genome interrogation, have catalyzed key breakthroughs in our understanding of complex biological processes and diseases. However, the immense complexity of biological systems and off-target effects hinder clinical applications, necessitating the development of platforms to control gene editing over spatial and temporal dimensions. Among the strategies developed for inducible control, light is particularly attractive as it is noninvasive and affords high spatiotemporal resolution. The principles for optical control of Cas9 and Cre recombinase are broadly similar and involve photocaged enzymes and small molecules, engineered split- and single-chain constructs, light-induced expression, and delivery by light-responsive nanocarriers. Few systems enable spatiotemporal control with a high dynamic range without loss of wild-type editing efficiencies. Such systems posit the promise of light-activatable systems in the clinic. While the prospect of clinical applications is palpably exciting, optimization and extensive preclinical validation are warranted. Judicious integration of optically activated CRISPR and Cre, tailored for the desired application, may help to bridge the "bench-to-bedside" gap in therapeutic gene editing.
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Affiliation(s)
- Archit Devarajan
- Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhauri, Bhopal, Madhya Pradesh, India - 462066
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7
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Yagci ZB, Kelkar GR, Johnson TJ, Sen D, Keung AJ. Designing Epigenome Editors: Considerations of Biochemical and Locus Specificities. Methods Mol Biol 2024; 2842:23-55. [PMID: 39012589 DOI: 10.1007/978-1-0716-4051-7_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
The advent of locus-specific protein recruitment technologies has enabled a new class of studies in chromatin biology. Epigenome editors (EEs) enable biochemical modifications of chromatin at almost any specific endogenous locus. Their locus-specificity unlocks unique information including the functional roles of distinct modifications at specific genomic loci. Given the growing interest in using these tools for biological and translational studies, there are many specific design considerations depending on the scientific question or clinical need. Here, we present and discuss important design considerations and challenges regarding the biochemical and locus specificities of epigenome editors. These include how to: account for the complex biochemical diversity of chromatin; control for potential interdependency of epigenome editors and their resultant modifications; avoid sequestration effects; quantify the locus specificity of epigenome editors; and improve locus-specificity by considering concentration, affinity, avidity, and sequestration effects.
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Affiliation(s)
- Z Begum Yagci
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA
| | - Gautami R Kelkar
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA
| | - Tyler J Johnson
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA
| | - Dilara Sen
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA
| | - Albert J Keung
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
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8
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Vu TV, Nguyen NT, Kim J, Hong JC, Kim J. Prime editing: Mechanism insight and recent applications in plants. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:19-36. [PMID: 37794706 PMCID: PMC10754014 DOI: 10.1111/pbi.14188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 10/06/2023]
Abstract
Prime editing (PE) technology utilizes an extended prime editing guide RNA (pegRNA) to direct a fusion peptide consisting of nCas9 (H840) and reverse transcriptase (RT) to a specific location in the genome. This enables the installation of base changes at the targeted site using the extended portion of the pegRNA through RT activity. The resulting product of the RT reaction forms a 3' flap, which can be incorporated into the genomic site through a series of biochemical steps involving DNA repair and synthesis pathways. PE has demonstrated its effectiveness in achieving almost all forms of precise gene editing, such as base conversions (all types), DNA sequence insertions and deletions, chromosomal translocation and inversion and long DNA sequence insertion at safe harbour sites within the genome. In plant science, PE could serve as a groundbreaking tool for precise gene editing, allowing the creation of desired alleles to improve crop varieties. Nevertheless, its application has encountered limitations due to efficiency constraints, particularly in dicotyledonous plants. In this review, we discuss the step-by-step mechanism of PE, shedding light on the critical aspects of each step while suggesting possible solutions to enhance its efficiency. Additionally, we present an overview of recent advancements and future perspectives in PE research specifically focused on plants, examining the key technical considerations of its applications.
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Affiliation(s)
- Tien V. Vu
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research CenterGyeongsang National UniversityJinjuKorea
| | - Ngan Thi Nguyen
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research CenterGyeongsang National UniversityJinjuKorea
| | - Jihae Kim
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research CenterGyeongsang National UniversityJinjuKorea
| | - Jong Chan Hong
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research CenterGyeongsang National UniversityJinjuKorea
| | - Jae‐Yean Kim
- Division of Applied Life Science (BK21 Four Program), Plant Molecular Biology and Biotechnology Research CenterGyeongsang National UniversityJinjuKorea
- Division of Life ScienceGyeongsang National UniversityJinjuKorea
- Nulla Bio Inc.JinjuKorea
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9
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Webber BR, Johnson MJ, Skeate JG, Slipek NJ, Lahr WS, DeFeo AP, Mills LJ, Qiu X, Rathmann B, Diers MD, Wick B, Henley T, Choudhry M, Starr TK, McIvor RS, Moriarity BS. Cas9-induced targeted integration of large DNA payloads in primary human T cells via homology-mediated end-joining DNA repair. Nat Biomed Eng 2023:10.1038/s41551-023-01157-4. [PMID: 38092857 PMCID: PMC11169092 DOI: 10.1038/s41551-023-01157-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 11/02/2023] [Indexed: 01/12/2024]
Abstract
The reliance on viral vectors for the production of genetically engineered immune cells for adoptive cellular therapies remains a translational bottleneck. Here we report a method leveraging the DNA repair pathway homology-mediated end joining, as well as optimized reagent composition and delivery, for the Cas9-induced targeted integration of large DNA payloads into primary human T cells with low toxicity and at efficiencies nearing those of viral vectors (targeted knock-in of 1-6.7 kb payloads at rates of up to 70% at multiple targeted genomic loci and with cell viabilities of over 80%). We used the method to produce T cells with an engineered T-cell receptor or a chimaeric antigen receptor and show that the cells maintained low levels of exhaustion markers and excellent capacities for proliferation and cytokine production and that they elicited potent antitumour cytotoxicity in vitro and in mice. The method is readily adaptable to current good manufacturing practices and scale-up processes, and hence may be used as an alternative to viral vectors for the production of genetically engineered T cells for cancer immunotherapies.
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Affiliation(s)
- Beau R Webber
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA.
| | - Matthew J Johnson
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Joseph G Skeate
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Nicholas J Slipek
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Walker S Lahr
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Anthony P DeFeo
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Lauren J Mills
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Xiaohong Qiu
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Blaine Rathmann
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Miechaleen D Diers
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
| | - Bryce Wick
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
| | | | | | - Timothy K Starr
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN, USA
- Department of Ob-Gyn and Women's Health, University of Minnesota, Minneapolis, MN, USA
| | - R Scott McIvor
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
- Department of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, MN, USA
| | - Branden S Moriarity
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA.
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10
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Nguyen HM, Watanabe S, Sharmin S, Kawaguchi T, Tan XE, Wannigama DL, Cui L. RNA and Single-Stranded DNA Phages: Unveiling the Promise from the Underexplored World of Viruses. Int J Mol Sci 2023; 24:17029. [PMID: 38069353 PMCID: PMC10707117 DOI: 10.3390/ijms242317029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/26/2023] [Accepted: 11/28/2023] [Indexed: 12/18/2023] Open
Abstract
RNA and single-stranded DNA (ssDNA) phages make up an understudied subset of bacteriophages that have been rapidly expanding in the last decade thanks to advancements in metaviromics. Since their discovery, applications of genetic engineering to ssDNA and RNA phages have revealed their immense potential for diverse applications in healthcare and biotechnology. In this review, we explore the past and present applications of this underexplored group of phages, particularly their current usage as therapeutic agents against multidrug-resistant bacteria. We also discuss engineering techniques such as recombinant expression, CRISPR/Cas-based genome editing, and synthetic rebooting of phage-like particles for their role in tailoring phages for disease treatment, imaging, biomaterial development, and delivery systems. Recent breakthroughs in RNA phage engineering techniques are especially highlighted. We conclude with a perspective on challenges and future prospects, emphasizing the untapped diversity of ssDNA and RNA phages and their potential to revolutionize biotechnology and medicine.
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Affiliation(s)
- Huong Minh Nguyen
- Division of Bacteriology, Department of Infection and Immunity, Jichi Medical University, Shimotsuke 329-0498, Tochigi, Japan; (H.M.N.); (S.W.); (S.S.); (T.K.); (X.-E.T.)
| | - Shinya Watanabe
- Division of Bacteriology, Department of Infection and Immunity, Jichi Medical University, Shimotsuke 329-0498, Tochigi, Japan; (H.M.N.); (S.W.); (S.S.); (T.K.); (X.-E.T.)
| | - Sultana Sharmin
- Division of Bacteriology, Department of Infection and Immunity, Jichi Medical University, Shimotsuke 329-0498, Tochigi, Japan; (H.M.N.); (S.W.); (S.S.); (T.K.); (X.-E.T.)
| | - Tomofumi Kawaguchi
- Division of Bacteriology, Department of Infection and Immunity, Jichi Medical University, Shimotsuke 329-0498, Tochigi, Japan; (H.M.N.); (S.W.); (S.S.); (T.K.); (X.-E.T.)
| | - Xin-Ee Tan
- Division of Bacteriology, Department of Infection and Immunity, Jichi Medical University, Shimotsuke 329-0498, Tochigi, Japan; (H.M.N.); (S.W.); (S.S.); (T.K.); (X.-E.T.)
| | - Dhammika Leshan Wannigama
- Department of Infectious Diseases and Infection Control, Yamagata Prefectural Central Hospital, Yamagata 990-2292, Yamagata, Japan;
| | - Longzhu Cui
- Division of Bacteriology, Department of Infection and Immunity, Jichi Medical University, Shimotsuke 329-0498, Tochigi, Japan; (H.M.N.); (S.W.); (S.S.); (T.K.); (X.-E.T.)
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11
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Riedmayr LM, Hinrichsmeyer KS, Thalhammer SB, Mittas DM, Karguth N, Otify DY, Böhm S, Weber VJ, Bartoschek MD, Splith V, Brümmer M, Ferreira R, Boon N, Wögenstein GM, Grimm C, Wijnholds J, Mehlfeld V, Michalakis S, Fenske S, Biel M, Becirovic E. mRNA trans-splicing dual AAV vectors for (epi)genome editing and gene therapy. Nat Commun 2023; 14:6578. [PMID: 37852949 PMCID: PMC10584818 DOI: 10.1038/s41467-023-42386-0] [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: 08/17/2022] [Accepted: 10/10/2023] [Indexed: 10/20/2023] Open
Abstract
Large genes including several CRISPR-Cas modules like gene activators (CRISPRa) require dual adeno-associated viral (AAV) vectors for an efficient in vivo delivery and expression. Current dual AAV vector approaches have important limitations, e.g., low reconstitution efficiency, production of alien proteins, or low flexibility in split site selection. Here, we present a dual AAV vector technology based on reconstitution via mRNA trans-splicing (REVeRT). REVeRT is flexible in split site selection and can efficiently reconstitute different split genes in numerous in vitro models, in human organoids, and in vivo. Furthermore, REVeRT can functionally reconstitute a CRISPRa module targeting genes in various mouse tissues and organs in single or multiplexed approaches upon different routes of administration. Finally, REVeRT enabled the reconstitution of full-length ABCA4 after intravitreal injection in a mouse model of Stargardt disease. Due to its flexibility and efficiency REVeRT harbors great potential for basic research and clinical applications.
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Affiliation(s)
- Lisa Maria Riedmayr
- Department of Pharmacy - Center for Drug Research, LMU Munich, Munich, 81377, Germany
| | | | | | - David Manuel Mittas
- Department of Pharmacy - Center for Drug Research, LMU Munich, Munich, 81377, Germany
| | - Nina Karguth
- Department of Pharmacy - Center for Drug Research, LMU Munich, Munich, 81377, Germany
| | - Dina Yehia Otify
- Department of Pharmacy - Center for Drug Research, LMU Munich, Munich, 81377, Germany
| | | | - Valentin Johannes Weber
- Laboratory for Retinal Gene Therapy, Department of Ophthalmology, University Hospital Zurich, University of Zurich, Schlieren, 8952, Switzerland
| | | | | | - Manuela Brümmer
- Department of Pharmacy - Center for Drug Research, LMU Munich, Munich, 81377, Germany
| | - Raphael Ferreira
- Genetics Department, Harvard Medical School, Boston, MA, 02115, USA
| | - Nanda Boon
- Department of Ophthalmology, Leiden University Medical Center (LUMC), 2333 ZA, Leiden, Netherlands
| | - Gabriele Maria Wögenstein
- Laboratory for Retinal Cell Biology, Department of Ophthalmology, University Hospital Zurich, University of Zurich, Schlieren, 8952, Switzerland
| | - Christian Grimm
- Laboratory for Retinal Cell Biology, Department of Ophthalmology, University Hospital Zurich, University of Zurich, Schlieren, 8952, Switzerland
| | - Jan Wijnholds
- Department of Ophthalmology, Leiden University Medical Center (LUMC), 2333 ZA, Leiden, Netherlands
- Netherlands Institute for Neuroscience, Institute of the Royal Netherlands Academy of Arts and Sciences (KNAW), 1105 BA, Amsterdam, Netherlands
| | - Verena Mehlfeld
- Department of Pharmacy - Center for Drug Research, LMU Munich, Munich, 81377, Germany
| | - Stylianos Michalakis
- Department of Ophthalmology, University Hospital, LMU Munich, 80336, Munich, Germany
| | - Stefanie Fenske
- Department of Pharmacy - Center for Drug Research, LMU Munich, Munich, 81377, Germany
- German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, 81377, Germany
| | - Martin Biel
- Department of Pharmacy - Center for Drug Research, LMU Munich, Munich, 81377, Germany
| | - Elvir Becirovic
- Laboratory for Retinal Gene Therapy, Department of Ophthalmology, University Hospital Zurich, University of Zurich, Schlieren, 8952, Switzerland.
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12
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Auradkar A, Guichard A, Kaduwal S, Sneider M, Bier E. tgCRISPRi: efficient gene knock-down using truncated gRNAs and catalytically active Cas9. Nat Commun 2023; 14:5587. [PMID: 37696787 PMCID: PMC10495392 DOI: 10.1038/s41467-023-40836-3] [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: 03/09/2023] [Accepted: 08/14/2023] [Indexed: 09/13/2023] Open
Abstract
CRISPR-interference (CRISPRi), a highly effective method for silencing genes in mammalian cells, employs an enzymatically dead form of Cas9 (dCas9) complexed with one or more guide RNAs (gRNAs) with 20 nucleotides (nt) of complementarity to transcription initiation sites of target genes. Such gRNA/dCas9 complexes bind to DNA, impeding transcription of the targeted locus. Here, we present an alternative gene-suppression strategy using active Cas9 complexed with truncated gRNAs (tgRNAs). Cas9/tgRNA complexes bind to specific target sites without triggering DNA cleavage. When targeted near transcriptional start sites, these short 14-15 nts tgRNAs efficiently repress expression of several target genes throughout somatic tissues in Drosophila melanogaster without generating any detectable target site mutations. tgRNAs also can activate target gene expression when complexed with a Cas9-VPR fusion protein or modulate enhancer activity, and can be incorporated into a gene-drive, wherein a traditional gRNA sustains drive while a tgRNA inhibits target gene expression.
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Affiliation(s)
- Ankush Auradkar
- Department of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
| | - Annabel Guichard
- Department of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
| | - Saluja Kaduwal
- Department of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
| | - Marketta Sneider
- Department of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA
| | - Ethan Bier
- Department of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0335, USA.
- Tata Institute for Genetics and Society - UCSD, La Jolla, USA.
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13
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Bendixen L, Jensen TI, Bak RO. CRISPR-Cas-mediated transcriptional modulation: The therapeutic promises of CRISPRa and CRISPRi. Mol Ther 2023; 31:1920-1937. [PMID: 36964659 PMCID: PMC10362391 DOI: 10.1016/j.ymthe.2023.03.024] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/09/2023] [Accepted: 03/21/2023] [Indexed: 03/26/2023] Open
Abstract
The CRISPR-Cas system is commonly known for its ability to cleave DNA in a programmable manner, which has democratized gene editing and facilitated recent breakthroughs in gene therapy. However, newer iterations of the technology using nuclease-disabled Cas enzymes have spurred a variety of different types of genetic engineering platforms such as transcriptional modulation using the CRISPR activation (CRISPRa) and CRISPR interference (CRISPRi) systems. This review introduces the creation of these programmable transcriptional modulators, various methods of delivery utilized for these systems, and recent technological developments. CRISPRa and CRISPRi have also been implemented in genetic screens for interrogating gene function and discovering genes involved in various biological pathways. We describe recent compelling examples of how these tools have become powerful means to unravel genetic networks and uncovering important information about devastating diseases. Finally, we provide an overview of preclinical studies in which transcriptional modulation has been used therapeutically, and we discuss potential future directions of these novel modalities.
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Affiliation(s)
- Louise Bendixen
- Department of Biomedicine, Aarhus University, 8000 Aarhus C, Denmark
| | - Trine I Jensen
- Department of Biomedicine, Aarhus University, 8000 Aarhus C, Denmark
| | - Rasmus O Bak
- Department of Biomedicine, Aarhus University, 8000 Aarhus C, Denmark.
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14
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Ma S, Liao K, Li M, Wang X, Lv J, Zhang X, Huang H, Li L, Huang T, Guo X, Lin Y, Rong Z. Phase-separated DropCRISPRa platform for efficient gene activation in mammalian cells and mice. Nucleic Acids Res 2023; 51:5271-5284. [PMID: 37094074 PMCID: PMC10250237 DOI: 10.1093/nar/gkad301] [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: 06/27/2022] [Revised: 04/05/2023] [Accepted: 04/21/2023] [Indexed: 04/26/2023] Open
Abstract
Liquid-liquid phase separation (LLPS) plays a critical role in regulating gene transcription via the formation of transcriptional condensates. However, LLPS has not been reported to be engineered as a tool to activate endogenous gene expression in mammalian cells or in vivo. Here, we developed a droplet-forming CRISPR (clustered regularly interspaced short palindromic repeats) gene activation system (DropCRISPRa) to activate transcription with high efficiency via combining the CRISPR-SunTag system with FETIDR-AD fusion proteins, which contain an N-terminal intrinsically disordered region (IDR) of a FET protein (FUS or TAF15) and a transcription activation domain (AD, VP64/P65/VPR). In this system, the FETIDR-AD fusion protein formed phase separation condensates at the target sites, which could recruit endogenous BRD4 and RNA polymerase II with an S2 phosphorylated C-terminal domain (CTD) to enhance transcription elongation. IDR-FUS9Y>S and IDR-FUSG156E, two mutants with deficient and aberrant phase separation respectively, confirmed that appropriate phase separation was required for efficient gene activation. Further, the DropCRISPRa system was compatible with a broad set of CRISPR-associated (Cas) proteins and ADs, including dLbCas12a, dAsCas12a, dSpCas9 and the miniature dUnCas12f1, and VP64, P65 and VPR. Finally, the DropCRISPRa system could activate target genes in mice. Therefore, this study provides a robust tool to activate gene expression for foundational research and potential therapeutics.
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Affiliation(s)
- Shufeng Ma
- Department of Nephrology, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou 510515, China
| | - Kaitong Liao
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou 510515, China
| | - Mengrao Li
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou 510515, China
| | - Xinlong Wang
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou 510515, China
| | - Jie Lv
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou 510515, China
| | - Xin Zhang
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou 510515, China
- Affiliated Dongguan Hospital, Southern Medical University, (Dongguan People's Hospital), Dongguan 523058, China
| | - Hongxin Huang
- Dermatology Hospital, Southern Medical University, Guangzhou 510091, China
| | - Lian Li
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou 510515, China
| | - Tao Huang
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou 510515, China
- Dermatology Hospital, Southern Medical University, Guangzhou 510091, China
| | - Xiaohua Guo
- Department of Nephrology, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China
| | - Ying Lin
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou 510515, China
- Experimental Education/Administration Center, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China
| | - Zhili Rong
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou 510515, China
- Dermatology Hospital, Southern Medical University, Guangzhou 510091, China
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15
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Jiang C, Geng L, Wang J, Liang Y, Guo X, Liu C, Zhao Y, Jin J, Liu Z, Mu Y. Multiplexed Gene Engineering Based on dCas9 and gRNA-tRNA Array Encoded on Single Transcript. Int J Mol Sci 2023; 24:ijms24108535. [PMID: 37239880 DOI: 10.3390/ijms24108535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/28/2023] Open
Abstract
Simultaneously, multiplexed genome engineering and targeting multiple genomic loci are valuable to elucidating gene interactions and characterizing genetic networks that affect phenotypes. Here, we developed a general CRISPR-based platform to perform four functions and target multiple genome loci encoded in a single transcript. To establish multiple functions for multiple loci targets, we fused four RNA hairpins, MS2, PP7, com and boxB, to stem-loops of gRNA (guide RNA) scaffolds, separately. The RNA-hairpin-binding domains MCP, PCP, Com and λN22 were fused with different functional effectors. These paired combinations of cognate-RNA hairpins and RNA-binding proteins generated the simultaneous, independent regulation of multiple target genes. To ensure that all proteins and RNAs are expressed in one transcript, multiple gRNAs were constructed in a tandemly arrayed tRNA (transfer RNA)-gRNA architecture, and the triplex sequence was cloned between the protein-coding sequences and the tRNA-gRNA array. By leveraging this system, we illustrate the transcriptional activation, transcriptional repression, DNA methylation and DNA demethylation of endogenous targets using up to 16 individual CRISPR gRNAs delivered on a single transcript. This system provides a powerful platform to investigate synthetic biology questions and engineer complex-phenotype medical applications.
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Affiliation(s)
- Chaoqian Jiang
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, Harbin 150030, China
- College of Life Science, Northeast Agricultural University, Harbin 150030, China
| | - Lishuang Geng
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, Harbin 150030, China
- College of Life Science, Northeast Agricultural University, Harbin 150030, China
| | - Jinpeng Wang
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, Harbin 150030, China
| | - Yingjuan Liang
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, Harbin 150030, China
| | - Xiaochen Guo
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, Harbin 150030, China
| | - Chang Liu
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, Harbin 150030, China
| | - Yunjing Zhao
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, Harbin 150030, China
| | - Junxue Jin
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, Harbin 150030, China
- College of Life Science, Northeast Agricultural University, Harbin 150030, China
| | - Zhonghua Liu
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, Harbin 150030, China
- College of Life Science, Northeast Agricultural University, Harbin 150030, China
| | - Yanshuang Mu
- Key Laboratory of Animal Cellular and Genetic Engineering of Heilongjiang Province, Northeast Agricultural University, Harbin 150030, China
- College of Life Science, Northeast Agricultural University, Harbin 150030, China
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16
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Gaglia G, Burger ML, Ritch CC, Rammos D, Dai Y, Crossland GE, Tavana SZ, Warchol S, Jaeger AM, Naranjo S, Coy S, Nirmal AJ, Krueger R, Lin JR, Pfister H, Sorger PK, Jacks T, Santagata S. Lymphocyte networks are dynamic cellular communities in the immunoregulatory landscape of lung adenocarcinoma. Cancer Cell 2023; 41:871-886.e10. [PMID: 37059105 PMCID: PMC10193529 DOI: 10.1016/j.ccell.2023.03.015] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 01/31/2023] [Accepted: 03/22/2023] [Indexed: 04/16/2023]
Abstract
Lymphocytes are key for immune surveillance of tumors, but our understanding of the spatial organization and physical interactions that facilitate lymphocyte anti-cancer functions is limited. We used multiplexed imaging, quantitative spatial analysis, and machine learning to create high-definition maps of lung tumors from a Kras/Trp53-mutant mouse model and human resections. Networks of interacting lymphocytes ("lymphonets") emerged as a distinctive feature of the anti-cancer immune response. Lymphonets nucleated from small T cell clusters and incorporated B cells with increasing size. CXCR3-mediated trafficking modulated lymphonet size and number, but T cell antigen expression directed intratumoral localization. Lymphonets preferentially harbored TCF1+ PD-1+ progenitor CD8+ T cells involved in responses to immune checkpoint blockade (ICB) therapy. Upon treatment of mice with ICB or an antigen-targeted vaccine, lymphonets retained progenitor and gained cytotoxic CD8+ T cell populations, likely via progenitor differentiation. These data show that lymphonets create a spatial environment supportive of CD8+ T cell anti-tumor responses.
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Affiliation(s)
- Giorgio Gaglia
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Harvard Medical School, Boston, MA 02115, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Megan L Burger
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, OR 97212, USA; School of Medicine, Division of Hematology and Oncology, Oregon Health & Science University, Portland, OR 97212, USA
| | - Cecily C Ritch
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Harvard Medical School, Boston, MA 02115, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Danae Rammos
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Harvard Medical School, Boston, MA 02115, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Yang Dai
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Harvard Medical School, Boston, MA 02115, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Grace E Crossland
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Sara Z Tavana
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Simon Warchol
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Alex M Jaeger
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Santiago Naranjo
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Shannon Coy
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Harvard Medical School, Boston, MA 02115, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ajit J Nirmal
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Robert Krueger
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Jia-Ren Lin
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Harvard Medical School, Boston, MA 02115, USA
| | - Hanspeter Pfister
- School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA
| | - Peter K Sorger
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Harvard Medical School, Boston, MA 02115, USA
| | - Tyler Jacks
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Sandro Santagata
- Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center at Harvard, Harvard Medical School, Boston, MA 02115, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
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17
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Marinov GK, Kim SH, Bagdatli ST, Higashino SI, Trevino AE, Tycko J, Wu T, Bintu L, Bassik MC, He C, Kundaje A, Greenleaf WJ. CasKAS: direct profiling of genome-wide dCas9 and Cas9 specificity using ssDNA mapping. Genome Biol 2023; 24:85. [PMID: 37085898 PMCID: PMC10120127 DOI: 10.1186/s13059-023-02930-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/07/2023] [Indexed: 04/23/2023] Open
Abstract
Detecting and mitigating off-target activity is critical to the practical application of CRISPR-mediated genome and epigenome editing. While numerous methods have been developed to map Cas9 binding specificity genome-wide, they are generally time-consuming and/or expensive, and not applicable to catalytically dead CRISPR enzymes. We have developed CasKAS, a rapid, inexpensive, and facile assay for identifying off-target CRISPR enzyme binding and cleavage by chemically mapping the unwound single-stranded DNA structures formed upon binding of a sgRNA-loaded Cas9 protein. We demonstrate this method in both in vitro and in vivo contexts.
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Affiliation(s)
- Georgi K Marinov
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
| | - Samuel H Kim
- Cancer Biology Program, School of Medicine, Stanford University, Stanford, CA, 94305, USA
| | - S Tansu Bagdatli
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA
| | - Soon Il Higashino
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA
| | - Alexandro E Trevino
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, 94305, USA
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Josh Tycko
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA
| | - Tong Wu
- Department of Chemistry, The University of Chicago, Chicago, IL, 60637, USA
| | - Lacramioara Bintu
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Michael C Bassik
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA
- Chemistry, Engineering, and Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, 94305, USA
| | - Chuan He
- Department of Chemistry, The University of Chicago, Chicago, IL, 60637, USA
- Department of Biochemistry and Molecular Biology and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, 60637, USA
- Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, 60637, USA
| | - Anshul Kundaje
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA
- Department of Computer Science, Stanford University, Stanford, CA, 94305, USA
| | - William J Greenleaf
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.
- Department of Applied Physics, Stanford University, Stanford, CA, 94305, USA.
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, 94305, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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18
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Mart Nez-Terroba E, de Miguel FJ, Li V, Robles-Oteiza C, Politi K, Zamudio JR, Dimitrova N. Overexpressed Malat1 Drives Metastasis through Inflammatory Reprogramming of Lung Adenocarcinoma Microenvironment. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.20.533534. [PMID: 36993368 PMCID: PMC10055261 DOI: 10.1101/2023.03.20.533534] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
Metastasis is the main cause of cancer deaths but the molecular events leading to metastatic dissemination remain incompletely understood. Despite reports linking aberrant expression of long noncoding RNAs (lncRNAs) with increased metastatic incidence , in vivo evidence establishing driver roles for lncRNAs in metastatic progression is lacking. Here, we report that overexpression of the metastasis-associated lncRNA Malat1 (metastasis-associated lung adenocarcinoma transcript 1) in the autochthonous K-ras/p53 mouse model of lung adenocarcinoma (LUAD) is sufficient to drive cancer progression and metastatic dissemination. We show that increased expression of endogenous Malat1 RNA cooperates with p53 loss to promote widespread LUAD progression to a poorly differentiated, invasive, and metastatic disease. Mechanistically, we observe that Malat1 overexpression leads to the inappropriate transcription and paracrine secretion of the inflammatory cytokine, Ccl2, to augment the mobility of tumor and stromal cells in vitro and to trigger inflammatory responses in the tumor microenvironment in vivo . Notably, Ccl2 blockade fully reverses cellular and organismal phenotypes of Malat1 overexpression. We propose that Malat1 overexpression in advanced tumors activates Ccl2 signaling to reprogram the tumor microenvironment to an inflammatory and pro-metastatic state.
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19
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Carroll MS, Giacca M. CRISPR activation and interference as investigative tools in the cardiovascular system. Int J Biochem Cell Biol 2023; 155:106348. [PMID: 36563996 PMCID: PMC10265131 DOI: 10.1016/j.biocel.2022.106348] [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: 07/05/2022] [Revised: 12/18/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
CRISPR activation and interference (CRISPRa/i) technology offers the unprecedented possibility of achieving regulated gene expression both in vitro and in vivo. The DNA pairing specificity of a nuclease dead Cas9 (dCas9) is exploited to precisely target a transcriptional activator or repressor in proximity to a gene promoter. This permits both the study of phenotypes arising from gene modulation for investigative purposes, and the development of potential therapeutics. As with virtually all other organ systems, the cardiovascular system can deeply benefit from a broader utilisation of CRISPRa/i. However, application of this technology is still in its infancy. Significant areas for improvement include the identification of novel and more effective transcriptional regulators that can be docked to dCas9, and the development of more efficient methods for their delivery and expression in vivo.
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Affiliation(s)
- Melissa S Carroll
- School of Cardiovascular and Metabolic Medicine & Sciences and British Heart Foundation Centre of Research Excellence, King's College London, London UK
| | - Mauro Giacca
- School of Cardiovascular and Metabolic Medicine & Sciences and British Heart Foundation Centre of Research Excellence, King's College London, London UK.
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20
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Future Perspectives of Prime Editing for the Treatment of Inherited Retinal Diseases. Cells 2023; 12:cells12030440. [PMID: 36766782 PMCID: PMC9913839 DOI: 10.3390/cells12030440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/24/2023] [Accepted: 01/27/2023] [Indexed: 01/31/2023] Open
Abstract
Inherited retinal diseases (IRD) are a clinically and genetically heterogenous group of diseases and a leading cause of blindness in the working-age population. Even though gene augmentation therapies have shown promising results, they are only feasible to treat a small number of autosomal recessive IRDs, because the size of the gene is limited by the vector used. DNA editing however could potentially correct errors regardless of the overall size of the gene and might also be used to correct dominant mutations. Prime editing is a novel CRISPR/Cas9 based gene editing tool that enables precise correction of point mutations, insertions, and deletions without causing double strand DNA breaks. Due to its versatility and precision this technology may be a potential treatment option for virtually all genetic causes of IRD. Since its initial description, the prime editing technology has been further improved, resulting in higher efficacy and a larger target scope. Additionally, progress has been achieved concerning the size-related delivery issue of the prime editor components. This review aims to give an overview of these recent advancements and discusses prime editing as a potential treatment for IRDs.
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21
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Jin Q, Liu X, Zhuang Z, Huang J, Gou S, Shi H, Zhao Y, Ouyang Z, Liu Z, Li L, Mao J, Ge W, Chen F, Yu M, Guan Y, Ye Y, Tang C, Huang R, Wang K, Lai L. Doxycycline-dependent Cas9-expressing pig resources for conditional in vivo gene nullification and activation. Genome Biol 2023; 24:8. [PMID: 36650523 PMCID: PMC9843877 DOI: 10.1186/s13059-023-02851-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 01/06/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND CRISPR-based toolkits have dramatically increased the ease of genome and epigenome editing. SpCas9 is the most widely used nuclease. However, the difficulty of delivering SpCas9 and inability to modulate its expression in vivo hinder its widespread adoption in large animals. RESULTS Here, to circumvent these obstacles, a doxycycline-inducible SpCas9-expressing (DIC) pig model was generated by precise knock-in of the binary tetracycline-inducible expression elements into the Rosa26 and Hipp11 loci, respectively. With this pig model, in vivo and/or in vitro genome and epigenome editing could be easily realized. On the basis of the DIC system, a convenient Cas9-based conditional knockout strategy was devised through controlling the expression of rtTA component by tissue-specific promoter, which allows the one-step generation of germline-inherited pigs enabling in vivo spatiotemporal control of gene function under simple chemical induction. To validate the feasibility of in vivo gene mutation with DIC pigs, primary and metastatic pancreatic ductal adenocarcinoma was developed by delivering a single AAV6 vector containing TP53-sgRNA, LKB1-sgRNA, and mutant human KRAS gene into the adult pancreases. CONCLUSIONS Together, these results suggest that DIC pig resources will provide a powerful tool for conditional in vivo genome and epigenome modification for fundamental and applied research.
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Affiliation(s)
- Qin Jin
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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 ,Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya, 572000 China
| | - Xiaoyi Liu
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530 China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Zhenpeng Zhuang
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530 China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Jiayuan Huang
- grid.464317.3Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, 510633 China
| | - Shixue Gou
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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
| | - Hui Shi
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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
| | - Yu Zhao
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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 ,Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya, 572000 China ,grid.500400.10000 0001 2375 7370Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, School of Biotechnology and Health Science, Wuyi University, Jiangmen, 529020 China
| | - Zhen Ouyang
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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 ,Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya, 572000 China ,grid.500400.10000 0001 2375 7370Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, School of Biotechnology and Health Science, Wuyi University, Jiangmen, 529020 China
| | - Zhaoming Liu
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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 ,Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya, 572000 China ,grid.500400.10000 0001 2375 7370Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, School of Biotechnology and Health Science, Wuyi University, Jiangmen, 529020 China
| | - Lei Li
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530 China ,grid.410726.60000 0004 1797 8419University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Junjie Mao
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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
| | - Weikai Ge
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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 ,grid.500400.10000 0001 2375 7370Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, School of Biotechnology and Health Science, Wuyi University, Jiangmen, 529020 China
| | - Fangbing Chen
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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 ,grid.500400.10000 0001 2375 7370Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, School of Biotechnology and Health Science, Wuyi University, Jiangmen, 529020 China
| | - Manya Yu
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510530 China ,grid.410737.60000 0000 8653 1072Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530 China
| | - Yezhi Guan
- grid.464317.3Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, 510633 China
| | - Yinghua Ye
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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 ,Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya, 572000 China
| | - Chengcheng Tang
- grid.500400.10000 0001 2375 7370Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, School of Biotechnology and Health Science, Wuyi University, Jiangmen, 529020 China
| | - Ren Huang
- grid.464317.3Guangdong Provincial Key Laboratory of Laboratory Animals, Guangdong Laboratory Animals Monitoring Institute, Guangzhou, 510633 China
| | - Kepin Wang
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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 ,Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya, 572000 China ,grid.500400.10000 0001 2375 7370Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, School of Biotechnology and Health Science, Wuyi University, Jiangmen, 529020 China
| | - Liangxue Lai
- grid.428926.30000 0004 1798 2725China-New Zealand Joint Laboratory on Biomedicine and Health, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, 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 ,Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals, Sanya, 572000 China ,grid.500400.10000 0001 2375 7370Guangdong Provincial Key Laboratory of Large Animal models for Biomedicine, School of Biotechnology and Health Science, Wuyi University, Jiangmen, 529020 China ,grid.410737.60000 0000 8653 1072Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530 China
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22
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Current status and future prospects in cannabinoid production through in vitro culture and synthetic biology. Biotechnol Adv 2023; 62:108074. [PMID: 36481387 DOI: 10.1016/j.biotechadv.2022.108074] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 10/27/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
For centuries, cannabis has been a rich source of fibrous, pharmaceutical, and recreational ingredients. Phytocannabinoids are the most important and well-known class of cannabis-derived secondary metabolites and display a broad range of health-promoting and psychoactive effects. The unique characteristics of phytocannabinoids (e.g., metabolite likeness, multi-target spectrum, and safety profile) have resulted in the development and approval of several cannabis-derived drugs. While most work has focused on the two main cannabinoids produced in the plant, over 150 unique cannabinoids have been identified. To meet the rapidly growing phytocannabinoid demand, particularly many of the minor cannabinoids found in low amounts in planta, biotechnology offers promising alternatives for biosynthesis through in vitro culture and heterologous systems. In recent years, the engineered production of phytocannabinoids has been obtained through synthetic biology both in vitro (cell suspension culture and hairy root culture) and heterologous systems. However, there are still several bottlenecks (e.g., the complexity of the cannabinoid biosynthetic pathway and optimizing the bioprocess), hampering biosynthesis and scaling up the biotechnological process. The current study reviews recent advances related to in vitro culture-mediated cannabinoid production. Additionally, an integrated overview of promising conventional approaches to cannabinoid production is presented. Progress toward cannabinoid production in heterologous systems and possible avenues for avoiding autotoxicity are also reviewed and highlighted. Machine learning is then introduced as a powerful tool to model, and optimize bioprocesses related to cannabinoid production. Finally, regulation and manipulation of the cannabinoid biosynthetic pathway using CRISPR- mediated metabolic engineering is discussed.
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23
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Bonamino MH, Correia EM. The CRISPR/Cas System in Human Cancer. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1429:59-71. [PMID: 37486516 DOI: 10.1007/978-3-031-33325-5_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
The use of CRISPR as a genetic editing tool modified the oncology field from its basic to applied research for opening a simple, fast, and cheaper way to manipulate the genome. This chapter reviews some of the major uses of this technique for in vitro- and in vivo-based biological screenings, for cellular and animal model generation, and new derivative tools applied to cancer research. CRISPR has opened new frontiers increasing the knowledge about cancer, pointing to new solutions to overcome several challenges to better understand the disease and design better treatments.
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24
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Hu LF, Li YX, Wang JZ, Zhao YT, Wang Y. Controlling CRISPR-Cas9 by guide RNA engineering. WILEY INTERDISCIPLINARY REVIEWS. RNA 2023; 14:e1731. [PMID: 35393779 DOI: 10.1002/wrna.1731] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 03/15/2022] [Indexed: 01/31/2023]
Abstract
The clustered regularly interspaced short palindromic repeats (CRISPR) system is a product of million years of evolution by microbes to fight against invading genetic materials. Around 10 years ago, scientists started to repurpose the CRISPR as genetic tools by molecular engineering approaches. The guide RNA provides a versatile and unique platform for the innovation to improve and expand the application of CRISPR-Cas9 system. In this review, we will first introduce the basic sequence and structure of guide RNA and its role during the function of CRISPR-Cas9. We will then summarize recent progress on the development of various guide RNA engineering strategies. These strategies have been dedicated to improve the performance of CRISPR-Cas9, to achieve precise spatiotemporal control of CRISPR-Cas9, and to broaden the application of CRISPR-Cas9. Finally, we will briefly discuss the uniqueness and advantage of guide RNA-engineering based systems versus those with engineered Cas9 proteins and speculate potential future directions in guide RNA engineering. This article is categorized under: RNA Methods > RNA Analyses In Vitro and In Silico RNA Methods > RNA Nanotechnology Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs RNA Interactions with Proteins and Other Molecules > RNA-Protein Complexes.
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Affiliation(s)
- Lu-Feng Hu
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Yu-Xuan Li
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
| | - Jia-Zhen Wang
- College of Life Sciences, Peking University, Beijing, China
| | - Yu-Ting Zhao
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Yangming Wang
- Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China
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25
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Ewaisha R, Anderson KS. Immunogenicity of CRISPR therapeutics-Critical considerations for clinical translation. Front Bioeng Biotechnol 2023; 11:1138596. [PMID: 36873375 PMCID: PMC9978118 DOI: 10.3389/fbioe.2023.1138596] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 02/06/2023] [Indexed: 02/18/2023] Open
Abstract
CRISPR offers new hope for many patients and promises to transform the way we think of future therapies. Ensuring safety of CRISPR therapeutics is a top priority for clinical translation and specific recommendations have been recently released by the FDA. Rapid progress in the preclinical and clinical development of CRISPR therapeutics leverages years of experience with gene therapy successes and failures. Adverse events due to immunogenicity have been a major setback that has impacted the field of gene therapy. As several in vivo CRISPR clinical trials make progress, the challenge of immunogenicity remains a significant roadblock to the clinical availability and utility of CRISPR therapeutics. In this review, we examine what is currently known about the immunogenicity of CRISPR therapeutics and discuss several considerations to mitigate immunogenicity for the design of safe and clinically translatable CRISPR therapeutics.
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Affiliation(s)
- Radwa Ewaisha
- Department of Microbiology and Immunology, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt.,Department of Microbiology and Immunology, School of Pharmacy, Newgiza University, Newgiza, Egypt
| | - Karen S Anderson
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, United States
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26
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Kuzmin AA, Tomilin AN. Building Blocks of Artificial CRISPR-Based Systems beyond Nucleases. Int J Mol Sci 2022; 24:ijms24010397. [PMID: 36613839 PMCID: PMC9820447 DOI: 10.3390/ijms24010397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/19/2022] [Accepted: 12/19/2022] [Indexed: 12/28/2022] Open
Abstract
Tools developed in the fields of genome engineering, precise gene regulation, and synthetic gene networks have an increasing number of applications. When shared with the scientific community, these tools can be used to further unlock the potential of precision medicine and tissue engineering. A large number of different genetic elements, as well as modifications, have been used to create many different systems and to validate some technical concepts. New studies have tended to optimize or improve existing elements or approaches to create complex synthetic systems, especially those based on the relatively new CRISPR technology. In order to maximize the output of newly developed approaches and to move from proof-of-principle experiments to applications in regenerative medicine, it is important to navigate efficiently through the vast number of genetic elements to choose those most suitable for specific needs. In this review, we have collected information regarding the main genetic elements and their modifications, which can be useful in different synthetic systems with an emphasis of those based on CRISPR technology. We have indicated the most suitable elements and approaches to choose or combine in planning experiments, while providing their deeper understanding, and have also stated some pitfalls that should be avoided.
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27
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Pelea O, Fulga TA, Sauka-Spengler T. RNA-Responsive gRNAs for Controlling CRISPR Activity: Current Advances, Future Directions, and Potential Applications. CRISPR J 2022; 5:642-659. [PMID: 36206027 PMCID: PMC9618385 DOI: 10.1089/crispr.2022.0052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
CRISPR-Cas9 has emerged as a major genome manipulation tool. As Cas9 can cause off-target effects, several methods for controlling the expression of CRISPR systems were developed. Recent studies have shown that CRISPR activity could be controlled by sensing expression levels of endogenous transcripts. This is particularly interesting, as endogenous RNAs could harbor important information about the cell type, disease state, and environmental challenges cells are facing. Single-guide RNA (sgRNA) engineering played a major role in the development of RNA-responsive CRISPR systems. Following further optimizations, RNA-responsive sgRNAs could enable the development of novel therapeutic and research applications. This review introduces engineering strategies that could be employed to modify Streptococcus pyogenes sgRNAs with a focus on recent advances made toward the development of RNA-responsive sgRNAs. Future directions and potential applications of these technologies are also discussed.
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Affiliation(s)
- Oana Pelea
- Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom; and Kansas City, Missouri, USA.,Address correspondence to: Oana Pelea, Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, United Kingdom,
| | - Tudor A. Fulga
- Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom; and Kansas City, Missouri, USA
| | - Tatjana Sauka-Spengler
- Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom; and Kansas City, Missouri, USA.,Stowers Institute for Medical Research, Kansas City, Missouri, USA.,Address correspondence to: Tatjana Sauka-Spengler, Radcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford OX3 9DS, United Kingdom,
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28
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Ye H, Jiang C, Li L, Li H, Rong Z, Lin Y. Live-cell imaging of genomic loci with Cas9 variants. Biotechnol J 2022; 17:e2100381. [PMID: 36058644 DOI: 10.1002/biot.202100381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/14/2022] [Accepted: 08/22/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Endonuclease-deactivated clustered regularly interspaced short palindromic repeats (CRISPR)-associated nuclease (dCas9) has been repurposed for live-cell imaging of genomic loci. Engineered or evolved dCas9 variants have been developed to increase the applicability of the CRISPR/dCas9 system. However, there have been no systematic comparisons of these dCas9 variants in terms of their performance in the visualization of genomic loci. MAIN METHODS AND MAJOR RESULTS Here we demonstrate that dSpCas9 and its variants deSpCas9(1.1), dSpCas9-HF1, devoCas9, and dxCas9(3.7) can be used for CRISPR-based live-cell genomic imaging. dSpCas9 had the greatest utility, with a high labeling efficiency of repetitive sequences-including those with a low number of repeats-and good compatibility with target RNA sequences at the MUC4 locus that varied in length from 13 to 23 nucleotides. We combined CRISPR-Tag with the dSpCas9 imaging system to observe the dynamics of the Tet promoter and found that its movement was restricted when it was active. CONCLUSIONS AND IMPLICATIONS These novel Cas9 variants provide a new set of tools for investigating the spatiotemporal regulation of gene expression through live imaging of genomic sites.
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Affiliation(s)
- Huiying Ye
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, China
| | - Chao Jiang
- Beijing National Laboratory for Condensed Matter Physics and Laboratory of Soft Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, China.,School of Physical Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Lian Li
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, China
| | - Hui Li
- Beijing National Laboratory for Condensed Matter Physics and Laboratory of Soft Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, China.,School of Systems Science, Beijing Normal University, Beijing, China
| | - Zhili Rong
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, China.,Dermatology Hospital, Southern Medical University, Guangzhou, China.,Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China.,Experimental Education/Administration Center, School of Basic Medical Science, Southern Medical University, Guangzhou, China
| | - Ying Lin
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, China.,Experimental Education/Administration Center, School of Basic Medical Science, Southern Medical University, Guangzhou, China
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29
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Vora DS, Jaiswal AK, Sundar D. Implementing accelerated dynamics to unravel the effects of high-fidelity Cas9 mutants on target DNA and guide RNA hybrid stability. J Biomol Struct Dyn 2022:1-13. [PMID: 35882048 DOI: 10.1080/07391102.2022.2103032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Abstract
The clustered regularly interspersed short palindromic repeats (CRISPR) and its associated nuclease (Cas9) offers a unique and easily reprogrammable system for editing eukaryotic genomes. Cas9 is guided to the target by an RNA strand, and precise edits are created by introducing double-stranded breaks. However, nuclease activity of Cas9 is also triggered at other sites other than the target sit, which is a major limitation for various applications. Cas9 variants have been designed to improve the efficacy of the tool by introducing certain mutations. However, the on-target activity of such Cas9 variants is often seen as compromised. Hence, understanding the sub-molecular differences in the variants is essential to elucidate the factors that contribute to efficiency. The study reveals distortions in the PAM-distal regions of the nucleic hybrids as well as changes in the interactions between the Cas9 variants and RNA-DNA hybrid, contributing to the explanation for differences in on-target activity.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Dhvani Sandip Vora
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology (IIT) Delhi, New Delhi, India
| | - Atul Kumar Jaiswal
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology (IIT) Delhi, New Delhi, India
| | - Durai Sundar
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology (IIT) Delhi, New Delhi, India.,Yardi School of Artificial Intelligence, Indian Institute of Technology (IIT) Delhi, New Delhi, India
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30
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Swartjes T, Shang P, van den Berg DTM, Künne T, Geijsen N, Brouns SJJ, van der Oost J, Staals RHJ, Notebaart RA. Modulating CRISPR-Cas Genome Editing Using Guide-Complementary DNA Oligonucleotides. CRISPR J 2022; 5:571-585. [PMID: 35856642 PMCID: PMC9419950 DOI: 10.1089/crispr.2022.0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Clustered regularly interspaced short palindromic repeats and CRISPR-associated proteins (CRISPR-Cas) has revolutionized genome editing and has great potential for many applications, such as correcting human genetic disorders. To increase the safety of genome editing applications, CRISPR-Cas may benefit from strict control over Cas enzyme activity. Previously, anti-CRISPR proteins and designed oligonucleotides have been proposed to modulate CRISPR-Cas activity. In this study, we report on the potential of guide-complementary DNA oligonucleotides as controlled inhibitors of Cas9 ribonucleoprotein complexes. First, we show that DNA oligonucleotides inhibit Cas9 activity in human cells, reducing both on- and off-target cleavage. We then used in vitro assays to better understand how inhibition is achieved and under which conditions. Two factors were found to be important for robust inhibition: the length of the complementary region and the presence of a protospacer adjacent motif-loop on the inhibitor. We conclude that DNA oligonucleotides can be used to effectively inhibit Cas9 activity both ex vivo and in vitro.
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Affiliation(s)
- Thomas Swartjes
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, The Netherlands
| | - Peng Shang
- Department of Anatomy and Embryology, Leiden University Medical Centre, Leiden, The Netherlands
| | | | - Tim Künne
- Food Microbiology, Wageningen University and Research, Wageningen, The Netherlands
| | - Niels Geijsen
- Department of Anatomy and Embryology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Stan J J Brouns
- Department of Bionanoscience, Delft University of Technology, Delft, The Netherlands.,Kavli Institute of Nanoscience, Delft, The Netherlands
| | - John van der Oost
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, The Netherlands
| | - Raymond H J Staals
- Laboratory of Microbiology, Wageningen University and Research, Wageningen, The Netherlands
| | - Richard A Notebaart
- Food Microbiology, Wageningen University and Research, Wageningen, The Netherlands
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31
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Thomson MJ, Biswas S, Tsakirpaloglou N, Septiningsih EM. Functional Allele Validation by Gene Editing to Leverage the Wealth of Genetic Resources for Crop Improvement. Int J Mol Sci 2022; 23:ijms23126565. [PMID: 35743007 PMCID: PMC9223900 DOI: 10.3390/ijms23126565] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/09/2022] [Accepted: 06/10/2022] [Indexed: 02/05/2023] Open
Abstract
Advances in molecular technologies over the past few decades, such as high-throughput DNA marker genotyping, have provided more powerful plant breeding approaches, including marker-assisted selection and genomic selection. At the same time, massive investments in plant genetics and genomics, led by whole genome sequencing, have led to greater knowledge of genes and genetic pathways across plant genomes. However, there remains a gap between approaches focused on forward genetics, which start with a phenotype to map a mutant locus or QTL with the goal of cloning the causal gene, and approaches using reverse genetics, which start with large-scale sequence data and work back to the gene function. The recent establishment of efficient CRISPR-Cas-based gene editing promises to bridge this gap and provide a rapid method to functionally validate genes and alleles identified through studies of natural variation. CRISPR-Cas techniques can be used to knock out single or multiple genes, precisely modify genes through base and prime editing, and replace alleles. Moreover, technologies such as protoplast isolation, in planta transformation, and the use of developmental regulatory genes promise to enable high-throughput gene editing to accelerate crop improvement.
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32
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Harmsen TJW, Pritchard CEJ, Riepsaame J, van de Vrugt HJ, Huijbers IJ, Te Riele H. HideRNAs protect against CRISPR-Cas9 re-cutting after successful single base-pair gene editing. Sci Rep 2022; 12:9606. [PMID: 35688932 PMCID: PMC9187658 DOI: 10.1038/s41598-022-13688-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 05/26/2022] [Indexed: 12/05/2022] Open
Abstract
Promiscuous activity of the Streptococcus pyogenes DNA nuclease CRISPR-Cas9 can result in destruction of a successfully modified sequence obtained by templated repair of a Cas9-induced DNA double-strand break. To avoid re-cutting, additional target-site-disruptions (TSDs) are often introduced on top of the desired base-pair alteration in order to suppress target recognition. These TSDs may lower the efficiency of introducing the intended mutation and can cause unexpected phenotypes. Alternatively, successfully edited sites can be protected against Cas9 re-cutting activity. This method exploits the finding that Cas9 complexed to trimmed guideRNAs can still tightly bind specific genomic sequences but lacks nuclease activity. We show here that the presence of a guideRNA plus a trimmed guideRNA that matches the successfully mutated sequence, which we call hideRNA, can enhance the recovery of precise single base-pair substitution events tenfold. The benefit of hideRNAs in generating a single point mutation was demonstrated in cell lines using plasmid-based delivery of CRISPR-Cas9 components and in mouse zygotes injected with Cas9/guideRNA plus Cas9/hideRNA ribonucleoprotein complexes. However, hRNA protection sometimes failed, which likely reflects an unfavorable affinity of hRNA/Cas9 versus gRNA/Cas9 for the DNA target site. HideRNAs can easily be implemented into current gene editing protocols and facilitate the recovery of single base-pair substitution. As such, hideRNAs are of great value in gene editing experiments demanding high accuracy.
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Affiliation(s)
- Tim J W Harmsen
- Division of Tumor Biology and Immunology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
- Plant Sciences and Natural Products, Institute of Biology Leiden (IBL), Leiden University, Sylviusweg 72, 2333 BE, Leiden, The Netherlands
| | - Colin E J Pritchard
- Mouse Clinic for Cancer and Aging Research, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Joey Riepsaame
- Division of Tumor Biology and Immunology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
- Sir William Dunn School of Pathology, University of Oxford, South Parks Road, OX1 3RE, Oxford, UK
| | - Henri J van de Vrugt
- Division of Tumor Biology and Immunology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
- Department of Clinical Genetics, Section Oncogenetics, De Boelelaan 1118, 1081 HV, Amsterdam, The Netherlands
| | - Ivo J Huijbers
- Mouse Clinic for Cancer and Aging Research, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Hein Te Riele
- Division of Tumor Biology and Immunology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
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33
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Dong C, Gou Y, Lian J. SgRNA engineering for improved genome editing and expanded functional assays. Curr Opin Biotechnol 2022; 75:102697. [PMID: 35217295 DOI: 10.1016/j.copbio.2022.102697] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 01/27/2022] [Accepted: 02/07/2022] [Indexed: 12/22/2022]
Abstract
The CRISPR/Cas system has been established as the most powerful and practical genome engineering tool for both fundamental researches and biotechnological applications. Great efforts have been devoted to engineering the CRISPR system with better performance and novel functions. As an essential component, single guide RNAs (sgRNAs) have been extensively designed and engineered with desirable functions. This review highlights representative studies that optimize the sgRNA nucleotide sequences for improved genome editing performance (e.g. activity and specificity) as well as add extra aptamers and end extensions for expanded CRISPR-based functional assays (e.g. transcriptional regulation, genome imaging, and prime editor). The perspectives for further sgRNA engineering to establish more powerful and versatile CRISPR/Cas systems are also discussed.
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Affiliation(s)
- Chang Dong
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China; Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China
| | - Yuanwei Gou
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China; Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China
| | - Jiazhang Lian
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China; Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
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34
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Zhou M, Cao Y, Sui M, Shu X, Wan F, Zhang B. Dead Cas(t) light on new life: CRISPRa-mediated reprogramming of somatic cells into neurons. Cell Mol Life Sci 2022; 79:315. [PMID: 35610381 PMCID: PMC11073076 DOI: 10.1007/s00018-022-04324-z] [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: 01/10/2022] [Revised: 03/28/2022] [Accepted: 04/21/2022] [Indexed: 11/03/2022]
Abstract
Overexpression of exogenous lineage-specific transcription factors could directly induce terminally differentiated somatic cells into target cell types. However, the low conversion efficiency and the concern about introducing exogenous genes limit the clinical application. With the rapid progress in genome editing, the application of CRISPR/dCas9 has been expanding rapidly, including converting somatic cells into other types of cells in vivo and in vitro. Using the CRISPR/dCas9 system, direct neuronal reprogramming could be achieved by activating endogenous genes. Here, we will discuss the latest progress, new insights, and future challenges of the application of the dCas9 system in direct neuronal reprogramming.
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Affiliation(s)
- Meiling Zhou
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan, 430056, China
| | - Yu Cao
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan, 430056, China
| | - Ming Sui
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Xiji Shu
- Wuhan Institute of Biomedical Sciences, School of Medicine, Jianghan University, Wuhan, 430056, China
| | - Feng Wan
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Bin Zhang
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
- The Institute for Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Hubei Key Laboratory of Drug Target Research and Pharmacodynamic Evaluation, Huazhong University of Science and Technology, Wuhan, 430030, China.
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35
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Affiliation(s)
- Juan M Debernardi
- Plant Transformation Facility, University of California, Davis, Davis, CA, USA.
| | - Beth A Rowan
- Department of Plant Sciences, University of California, Davis, Davis, CA, USA.
- Genome Center, University of California, Davis, Davis, CA, USA.
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36
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Huang H, Huang G, Tan Z, Hu Y, Shan L, Zhou J, Zhang X, Ma S, Lv W, Huang T, Liu Y, Wang D, Zhao X, Lin Y, Rong Z. Engineered Cas12a-Plus nuclease enables gene editing with enhanced activity and specificity. BMC Biol 2022; 20:91. [PMID: 35468792 PMCID: PMC9040236 DOI: 10.1186/s12915-022-01296-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 04/12/2022] [Indexed: 11/23/2022] Open
Abstract
Background The CRISPR-Cas12a (formerly Cpf1) system is a versatile gene-editing tool with properties distinct from the broadly used Cas9 system. Features such as recognition of T-rich protospacer-adjacent motif (PAM) and generation of sticky breaks, as well as amenability for multiplex editing in a single crRNA and lower off-target nuclease activity, broaden the targeting scope of available tools and enable more accurate genome editing. However, the widespread use of the nuclease for gene editing, especially in clinical applications, is hindered by insufficient activity and specificity despite previous efforts to improve the system. Currently reported Cas12a variants achieve high activity with a compromise of specificity. Here, we used structure-guided protein engineering to improve both editing efficiency and targeting accuracy of Acidaminococcus sp. Cas12a (AsCas12a) and Lachnospiraceae bacterium Cas12a (LbCas12a). Results We created new AsCas12a variant termed “AsCas12a-Plus” with increased activity (1.5~2.0-fold improvement) and specificity (reducing off-targets from 29 to 23 and specificity index increased from 92% to 94% with 33 sgRNAs), and this property was retained in multiplex editing and transcriptional activation. When used to disrupt the oncogenic BRAFV600E mutant, AsCas12a-Plus showed less off-target activity while maintaining comparable editing efficiency and BRAFV600E cancer cell killing. By introducing the corresponding substitutions into LbCas12a, we also generated LbCas12a-Plus (activity improved ~1.1-fold and off-targets decreased from 20 to 12 while specificity index increased from 78% to 89% with 15 sgRNAs), suggesting this strategy may be generally applicable across Cas12a orthologs. We compared Cas12a-Plus, other variants described in this study, and the reported enCas12a-HF, enCas12a, and Cas12a-ultra, and found that Cas12a-Plus outperformed other variants with a good balance for enhanced activity and improved specificity. Conclusions Our discoveries provide alternative AsCas12a and LbCas12a variants with high specificity and activity, which expand the gene-editing toolbox and can be more suitable for clinical applications. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-022-01296-1.
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Affiliation(s)
- Hongxin Huang
- Dermatology Hospital, Southern Medical University, Guangzhou, 510091, China
| | - Guanjie Huang
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, 510515, China
| | - Zhihong Tan
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, 510515, China
| | - Yongfei Hu
- Dermatology Hospital, Southern Medical University, Guangzhou, 510091, China.,Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Lin Shan
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, 510515, China
| | - Jiajian Zhou
- Dermatology Hospital, Southern Medical University, Guangzhou, 510091, China
| | - Xin Zhang
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, 510515, China
| | - Shufeng Ma
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, 510515, China
| | - Weiqi Lv
- Dermatology Hospital, Southern Medical University, Guangzhou, 510091, China
| | - Tao Huang
- Dermatology Hospital, Southern Medical University, Guangzhou, 510091, China.,Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, 510515, China
| | - Yuchen Liu
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, 510515, China
| | - Dong Wang
- Dermatology Hospital, Southern Medical University, Guangzhou, 510091, China.,Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China
| | - Xiaoyang Zhao
- Department of Development, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Ying Lin
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, 510515, China. .,Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.
| | - Zhili Rong
- Dermatology Hospital, Southern Medical University, Guangzhou, 510091, China. .,Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, 510515, China. .,Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, China.
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37
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Winkler L, Jimenez M, Zimmer JT, Williams A, Simon MD, Dimitrova N. Functional elements of the cis-regulatory lincRNA-p21. Cell Rep 2022; 39:110687. [PMID: 35443176 PMCID: PMC9118141 DOI: 10.1016/j.celrep.2022.110687] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 02/10/2022] [Accepted: 03/24/2022] [Indexed: 12/13/2022] Open
Abstract
The p53-induced long noncoding RNA (lncRNA) lincRNA-p21 is proposed to act in cis to promote p53-dependent expression of the neighboring cell cycle gene, Cdkn1a/p21. The molecular mechanism through which the transcribed lincRNA-p21 regulatory locus activates p21 expression remains poorly understood. To elucidate the functional elements of cis-regulation, we generate a series of genetic models that disrupt DNA regulatory elements, the transcription of lincRNA-p21, or the accumulation of mature lincRNA-p21. Unexpectedly, we determine that full-length transcription, splicing, and accumulation of lincRNA-p21 are dispensable for the chromatin organization of the locus and for cis-regulation. Instead, we find that production of lincRNA-p21 through conserved regions in exon 1 of lincRNA-p21 promotes cis-activation. These findings demonstrate that the activation of nascent transcription from this lncRNA locus, but not the generation or accumulation of a mature lncRNA transcript, is necessary to enact local gene expression control.
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Affiliation(s)
- Lauren Winkler
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA
| | - Maria Jimenez
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA
| | - Joshua T Zimmer
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06511, USA; Institute for Biomolecular Design and Discovery, Yale University, West Haven, CT 06516, USA
| | - Adam Williams
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA
| | - Matthew D Simon
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06511, USA; Institute for Biomolecular Design and Discovery, Yale University, West Haven, CT 06516, USA
| | - Nadya Dimitrova
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06511, USA.
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38
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Ye L, Park JJ, Peng L, Yang Q, Chow RD, Dong MB, Lam SZ, Guo J, Tang E, Zhang Y, Wang G, Dai X, Du Y, Kim HR, Cao H, Errami Y, Clark P, Bersenev A, Montgomery RR, Chen S. A genome-scale gain-of-function CRISPR screen in CD8 T cells identifies proline metabolism as a means to enhance CAR-T therapy. Cell Metab 2022; 34:595-614.e14. [PMID: 35276062 PMCID: PMC8986623 DOI: 10.1016/j.cmet.2022.02.009] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 09/15/2021] [Accepted: 02/17/2022] [Indexed: 02/07/2023]
Abstract
Chimeric antigen receptor (CAR)-T cell-based immunotherapy for cancer and immunological diseases has made great strides, but it still faces multiple hurdles. Finding the right molecular targets to engineer T cells toward a desired function has broad implications for the armamentarium of T cell-centered therapies. Here, we developed a dead-guide RNA (dgRNA)-based CRISPR activation screen in primary CD8+ T cells and identified gain-of-function (GOF) targets for CAR-T engineering. Targeted knockin or overexpression of a lead target, PRODH2, enhanced CAR-T-based killing and in vivo efficacy in multiple cancer models. Transcriptomics and metabolomics in CAR-T cells revealed that augmenting PRODH2 expression reshaped broad and distinct gene expression and metabolic programs. Mitochondrial, metabolic, and immunological analyses showed that PRODH2 engineering enhances the metabolic and immune functions of CAR-T cells against cancer. Together, these findings provide a system for identification of GOF immune boosters and demonstrate PRODH2 as a target to enhance CAR-T efficacy.
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Affiliation(s)
- Lupeng Ye
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Jonathan J Park
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA; Yale M.D.-Ph.D. Program, 367 Cedar Street, New Haven, CT 06510, USA; Combined Program in the Biological and Biomedical Sciences, Yale University, New Haven, CT 06510, USA; MCGD Program, Yale University, New Haven, CT 06510, USA
| | - Lei Peng
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Quanjun Yang
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Ryan D Chow
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA; Yale M.D.-Ph.D. Program, 367 Cedar Street, New Haven, CT 06510, USA; Combined Program in the Biological and Biomedical Sciences, Yale University, New Haven, CT 06510, USA; MCGD Program, Yale University, New Haven, CT 06510, USA
| | - Matthew B Dong
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA; Yale M.D.-Ph.D. Program, 367 Cedar Street, New Haven, CT 06510, USA; Combined Program in the Biological and Biomedical Sciences, Yale University, New Haven, CT 06510, USA; MCGD Program, Yale University, New Haven, CT 06510, USA; Immunobiology Program, Yale University, New Haven, CT 06520, USA; Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Stanley Z Lam
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA; The College, Yale University, New Haven, CT 06520, USA
| | - Jianjian Guo
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA; Yale M.D.-Ph.D. Program, 367 Cedar Street, New Haven, CT 06510, USA; Combined Program in the Biological and Biomedical Sciences, Yale University, New Haven, CT 06510, USA; MCGD Program, Yale University, New Haven, CT 06510, USA
| | - Erting Tang
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Yueqi Zhang
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Guangchuan Wang
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Xiaoyun Dai
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Yaying Du
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Hyunu R Kim
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Hanbing Cao
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Youssef Errami
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Paul Clark
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA
| | - Alexey Bersenev
- Advanced Cell Therapy Laboratory, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Ruth R Montgomery
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Epidemiology of Microbial Diseases, Yale University School of Public Health, New Haven, CT 06520, USA; Department of Pathology, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Rheumatology, Yale University School of Medicine, New Haven, CT 06520, USA; Center for Biomedical Data Science, Yale University School of Medicine, New Haven, CT, USA; Comprehensive Cancer Center, Yale University, New Haven, CT 06510, USA
| | - Sidi Chen
- System Biology Institute, Integrated Science & Technology Center, West Haven, CT 06516, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA; Center for Cancer Systems Biology, Integrated Science & Technology Center, West Haven, CT 06516, USA; Combined Program in the Biological and Biomedical Sciences, Yale University, New Haven, CT 06510, USA; MCGD Program, Yale University, New Haven, CT 06510, USA; Immunobiology Program, Yale University, New Haven, CT 06520, USA; Center for Biomedical Data Science, Yale University School of Medicine, New Haven, CT, USA; Comprehensive Cancer Center, Yale University, New Haven, CT 06510, USA; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA; Yale Stem Cell Center, Yale University School of Medicine, New Haven, CT, USA; Yale Liver Center, Yale University School of Medicine, New Haven, CT, USA; Center for RNA Science and Medicine, Yale University, New Haven, CT 06510, USA.
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39
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Jamehdor S, Pajouhanfar S, Saba S, Uzan G, Teimoori A, Naserian S. Principles and Applications of CRISPR Toolkit in Virus Manipulation, Diagnosis, and Virus-Host Interactions. Cells 2022; 11:999. [PMID: 35326449 PMCID: PMC8946942 DOI: 10.3390/cells11060999] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/09/2022] [Accepted: 03/11/2022] [Indexed: 02/04/2023] Open
Abstract
Viruses are one of the most important concerns for human health, and overcoming viral infections is a worldwide challenge. However, researchers have been trying to manipulate viral genomes to overcome various disorders, including cancer, for vaccine development purposes. CRISPR (clustered regularly interspaced short palindromic repeats) is becoming one of the most functional and widely used tools for RNA and DNA manipulation in multiple organisms. This approach has provided an unprecedented opportunity for creating simple, inexpensive, specific, targeted, accurate, and practical manipulations of viruses, such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), human immunodeficiency virus-1 (HIV-1), and vaccinia virus. Furthermore, this method can be used to make an effective and precise diagnosis of viral infections. Nevertheless, a valid and scientifically designed CRISPR system is critical to make more effective and accurate changes in viruses. In this review, we have focused on the best and the most effective ways to design sgRNA, gene knock-in(s), and gene knock-out(s) for virus-targeted manipulation. Furthermore, we have emphasized the application of CRISPR technology in virus diagnosis and in finding significant genes involved in virus-host interactions.
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Affiliation(s)
- Saleh Jamehdor
- Cellular and Molecular Research Center, Zahedan University of Medical Sciences, Zahedan 989155432609, Iran;
| | - Sara Pajouhanfar
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA;
| | - Sadaf Saba
- Center for Molecular Medicine & Genetics, Wayne State University School of Medicine, Detroit, MI 48201, USA;
| | - Georges Uzan
- INSERM UMR-S-MD 1197, Hôpital Paul Brousse, 94800 Villejuif, France;
- Paris-Saclay University, 94800 Villejuif, France
| | - Ali Teimoori
- Department of Virology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan 6517838738, Iran
| | - Sina Naserian
- INSERM UMR-S-MD 1197, Hôpital Paul Brousse, 94800 Villejuif, France;
- Paris-Saclay University, 94800 Villejuif, France
- CellMedEx, 94100 Saint Maur Des Fossés, France
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40
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Eslami-Mossallam B, Klein M, Smagt CVD, Sanden KVD, Jones SK, Hawkins JA, Finkelstein IJ, Depken M. A kinetic model predicts SpCas9 activity, improves off-target classification, and reveals the physical basis of targeting fidelity. Nat Commun 2022; 13:1367. [PMID: 35292641 PMCID: PMC8924176 DOI: 10.1038/s41467-022-28994-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 02/11/2022] [Indexed: 12/26/2022] Open
Abstract
The S. pyogenes (Sp) Cas9 endonuclease is an important gene-editing tool. SpCas9 is directed to target sites based on complementarity to a complexed single-guide RNA (sgRNA). However, SpCas9-sgRNA also binds and cleaves genomic off-targets with only partial complementarity. To date, we lack the ability to predict cleavage and binding activity quantitatively, and rely on binary classification schemes to identify strong off-targets. We report a quantitative kinetic model that captures the SpCas9-mediated strand-replacement reaction in free-energy terms. The model predicts binding and cleavage activity as a function of time, target, and experimental conditions. Trained and validated on high-throughput bulk-biochemical data, our model predicts the intermediate R-loop state recently observed in single-molecule experiments, as well as the associated conversion rates. Finally, we show that our quantitative activity predictor can be reduced to a binary off-target classifier that outperforms the established state-of-the-art. Our approach is extensible, and can characterize any CRISPR-Cas nuclease - benchmarking natural and future high-fidelity variants against SpCas9; elucidating determinants of CRISPR fidelity; and revealing pathways to increased specificity and efficiency in engineered systems.
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Affiliation(s)
- Behrouz Eslami-Mossallam
- Kavli Institute of NanoScience and Department of BionanoScience, Delft University of Technology, Delft, 2629HZ, the Netherlands
- Dept. Building Physics and Systems, TNO Building and Construction Research, Leeghwaterstraat 44, Delft, The Netherlands
| | - Misha Klein
- Kavli Institute of NanoScience and Department of BionanoScience, Delft University of Technology, Delft, 2629HZ, the Netherlands
- Department of Physics and Astronomy, and LaserLaB Amsterdam, Vrije Universiteit Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, the Netherlands
| | - Constantijn V D Smagt
- Kavli Institute of NanoScience and Department of BionanoScience, Delft University of Technology, Delft, 2629HZ, the Netherlands
- Department of Physics and Astronomy, and LaserLaB Amsterdam, Vrije Universiteit Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, the Netherlands
| | - Koen V D Sanden
- Kavli Institute of NanoScience and Department of BionanoScience, Delft University of Technology, Delft, 2629HZ, the Netherlands
| | - Stephen K Jones
- Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, 78712, USA
- Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX, 78712, USA
- VU LSC-EMBL Partnership for Genome Editing Technologies, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - John A Hawkins
- Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, 78712, USA
- Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX, 78712, USA
- Oden Institute for Computational Engineering and Science, University of Texas at Austin, Austin, TX, 78712, USA
- European Molecular Biology Laboratory, Genome Biology Department, Heidelberg, Germany
| | - Ilya J Finkelstein
- Department of Molecular Biosciences, University of Texas at Austin, Austin, TX, 78712, USA
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX, 78712, USA
- Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX, 78712, USA
| | - Martin Depken
- Kavli Institute of NanoScience and Department of BionanoScience, Delft University of Technology, Delft, 2629HZ, the Netherlands.
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41
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Ajay AK, Zhao L, Vig S, Fujiwara M, Thakurela S, Jadhav S, Cho A, Chiu IJ, Ding Y, Ramachandran K, Mithal A, Bhatt A, Chaluvadi P, Gupta MK, Shah SI, Sabbisetti VS, Waaga-Gasser AM, Frank DA, Murugaiyan G, Bonventre JV, Hsiao LL. Deletion of STAT3 from Foxd1 cell population protects mice from kidney fibrosis by inhibiting pericytes trans-differentiation and migration. Cell Rep 2022; 38:110473. [PMID: 35263586 PMCID: PMC10027389 DOI: 10.1016/j.celrep.2022.110473] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 12/20/2021] [Accepted: 02/11/2022] [Indexed: 12/20/2022] Open
Abstract
Signal transduction and activator of transcription 3 (STAT3) is a key transcription factor implicated in the pathogenesis of kidney fibrosis. Although Stat3 deletion in tubular epithelial cells is known to protect mice from fibrosis, vFoxd1 cells remains unclear. Using Foxd1-mediated Stat3 knockout mice, CRISPR, and inhibitors of STAT3, we investigate its function. STAT3 is phosphorylated in tubular epithelial cells in acute kidney injury, whereas it is expanded to interstitial cells in fibrosis in mice and humans. Foxd1-mediated deletion of Stat3 protects mice from folic-acid- and aristolochic-acid-induced kidney fibrosis. Mechanistically, STAT3 upregulates the inflammation and differentiates pericytes into myofibroblasts. STAT3 activation increases migration and profibrotic signaling in genome-edited, pericyte-like cells. Conversely, blocking Stat3 inhibits detachment, migration, and profibrotic signaling. Furthermore, STAT3 binds to the Collagen1a1 promoter in mouse kidneys and cells. Together, our study identifies a previously unknown function of STAT3 that promotes kidney fibrosis and has therapeutic value in fibrosis.
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Affiliation(s)
- Amrendra K Ajay
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
| | - Li Zhao
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Renal Medicine, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
| | - Shruti Vig
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Mai Fujiwara
- Ann Romney Centre for Neurological Disease, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Sudhir Thakurela
- Broad Institute of MIT and Harvard, Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Shreyas Jadhav
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Andrew Cho
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - I-Jen Chiu
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Yan Ding
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Krithika Ramachandran
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Arushi Mithal
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Aanal Bhatt
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Pratyusha Chaluvadi
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Manoj K Gupta
- Section of Islet Cell Biology and Regenerative Medicine, Joslin Diabetes Center and Harvard Medical School, Boston, MA 02215, USA
| | - Sujal I Shah
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Venkata S Sabbisetti
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Ana Maria Waaga-Gasser
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - David A Frank
- Department of Medical Oncology, Dana Farber Cancer Research Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Gopal Murugaiyan
- Ann Romney Centre for Neurological Disease, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Joseph V Bonventre
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Li-Li Hsiao
- Department of Medicine, Division of Renal Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
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42
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Riedmayr LM, Hinrichsmeyer KS, Karguth N, Böhm S, Splith V, Michalakis S, Becirovic E. dCas9-VPR-mediated transcriptional activation of functionally equivalent genes for gene therapy. Nat Protoc 2022; 17:781-818. [PMID: 35132255 DOI: 10.1038/s41596-021-00666-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 11/18/2021] [Indexed: 12/19/2022]
Abstract
Many disease-causing genes possess functionally equivalent counterparts, which are often expressed in distinct cell types. An attractive gene therapy approach for inherited disorders caused by mutations in such genes is to transcriptionally activate the appropriate counterpart(s) to compensate for the missing gene function. This approach offers key advantages over conventional gene therapies because it is mutation- and gene size-independent. Here, we describe a protocol for the design, execution and evaluation of such gene therapies using dCas9-VPR. We offer guidelines on how to identify functionally equivalent genes, design and clone single guide RNAs and evaluate transcriptional activation in vitro. Moreover, focusing on inherited retinal diseases, we provide a detailed protocol on how to apply this strategy in mice using dual recombinant adeno-associated virus vectors and how to evaluate its functionality and off-target effects in the target tissue. This strategy is in principle applicable to all organisms that possess functionally equivalent genes suitable for transcriptional activation and addresses pivotal unmet needs in gene therapy with high translational potential. The protocol can be completed in 15-20 weeks.
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Affiliation(s)
- Lisa M Riedmayr
- Department of Pharmacy-Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Klara S Hinrichsmeyer
- Department of Pharmacy-Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Nina Karguth
- Department of Pharmacy-Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Sybille Böhm
- Department of Pharmacy-Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Victoria Splith
- Department of Pharmacy-Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Stylianos Michalakis
- Department of Ophthalmology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Elvir Becirovic
- Department of Pharmacy-Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany.
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43
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Du K, Gong L, Li M, Yu H, Xiang H. Reprogramming the endogenous type I CRISPR-Cas system for simultaneous gene regulation and editing in Haloarcula hispanica. MLIFE 2022; 1:40-50. [PMID: 38818324 PMCID: PMC10989794 DOI: 10.1002/mlf2.12010] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/14/2022] [Accepted: 01/15/2022] [Indexed: 06/01/2024]
Abstract
The type I system is the most widely distributed CRISPR-Cas system identified so far. Recently, we have revealed the natural reprogramming of the type I CRISPR effector for gene regulation with a crRNA-resembling RNA in halophilic archaea. Here, we conducted a comprehensive study of the impact of redesigned crRNAs with different spacer lengths on gene regulation with the native type I-B CRISPR system in Haloarcula hispanica. When the spacer targeting the chromosomal gene was shortened from 36 to 28 bp, transformation efficiencies of the spacer-encoding plasmids were improved by over three orders of magnitude, indicating a significant loss of interference. However, by conducting whole-genome sequencing and measuring the growth curves of the hosts, we still detected DNA cleavage and its influence on cell growth. Intriguingly, when the spacer was shortened to 24 bp, the transcription of the target gene was downregulated to 10.80%, while both interference and primed adaptation disappeared. By modifying the lengths of the spacers, the expression of the target gene could be suppressed to varying degrees. Significantly, by designing crRNAs with different spacer lengths and targeting different genes, we achieved simultaneous gene editing (cdc6E) and gene regulation (crtB) for the first time with the endogenous type I CRISPR-Cas system.
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Affiliation(s)
- Kaixin Du
- State Key Laboratory of Microbial Resources, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Luyao Gong
- State Key Laboratory of Microbial Resources, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Ming Li
- State Key Laboratory of Microbial Resources, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- CAS Key Laboratory of Microbial Physiological and Metabolic Engineering, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Haiying Yu
- State Key Laboratory of Microbial Resources, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
| | - Hua Xiang
- State Key Laboratory of Microbial Resources, Institute of MicrobiologyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
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44
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Becirovic E. Maybe you can turn me on: CRISPRa-based strategies for therapeutic applications. Cell Mol Life Sci 2022; 79:130. [PMID: 35152318 PMCID: PMC8840918 DOI: 10.1007/s00018-022-04175-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/24/2022] [Accepted: 01/27/2022] [Indexed: 12/17/2022]
Abstract
AbstractSince the revolutionary discovery of the CRISPR-Cas technology for programmable genome editing, its range of applications has been extended by multiple biotechnological tools that go far beyond its original function as “genetic scissors”. One of these further developments of the CRISPR-Cas system allows genes to be activated in a targeted and efficient manner. These gene-activating CRISPR-Cas modules (CRISPRa) are based on a programmable recruitment of transcription factors to specific loci and offer several key advantages that make them particularly attractive for therapeutic applications. These advantages include inter alia low off-target effects, independence of the target gene size as well as the potential to develop gene- and mutation-independent therapeutic strategies. Herein, I will give an overview on the currently available CRISPRa modules and discuss recent developments, future potentials and limitations of this approach with a focus on therapeutic applications and in vivo delivery.
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Affiliation(s)
- Elvir Becirovic
- Department of Pharmacy - Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany.
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45
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Shamshirgaran Y, Liu J, Sumer H, Verma PJ, Taheri-Ghahfarokhi A. Tools for Efficient Genome Editing; ZFN, TALEN, and CRISPR. Methods Mol Biol 2022; 2495:29-46. [PMID: 35696026 DOI: 10.1007/978-1-0716-2301-5_2] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The last two decades have marked significant advancement in the genome editing field. Three generations of programmable nucleases (ZFNs, TALENs, and CRISPR-Cas system) have been adopted to introduce targeted DNA double-strand breaks (DSBs) in eukaryotic cells. DNA repair machinery of the cells has been exploited to introduce insertion and deletions (indels) at the targeted DSBs to study function of any gene-of-interest. The resulting indels were generally assumed to be "random" events produced by "error-prone" DNA repair pathways. However, recent advances in computational tools developed to study the Cas9-induced mutations have changed the consensus and implied the "non-randomness" nature of these mutations. Furthermore, CRISPR-centric tools are evolving at an unprecedented pace, for example, base- and prime-editors are the newest developments that have been added to the genome editing toolbox. Altogether, genome editing tools have revolutionized our way of conducting research in life sciences. Here, we present a concise overview of genome editing tools and describe the DNA repair pathways underlying the generation of genome editing outcome.
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Affiliation(s)
- Yasaman Shamshirgaran
- Laboratory of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jun Liu
- Stem Cells and Genome Editing, Genomics and Cellular Sciences, Agriculture Victoria Research, Bundoora, VIC, Australia
| | - Huseyin Sumer
- Department of Chemistry and Biotechnology, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - Paul J Verma
- Aquatics & Livestock Sciences, South Australian Research and Development Institute, Roseworthy, SA, Australia
| | - Amir Taheri-Ghahfarokhi
- Quantitative Biology, Discovery Sciences, Biopharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
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46
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Javaid N, Choi S. CRISPR/Cas System and Factors Affecting Its Precision and Efficiency. Front Cell Dev Biol 2021; 9:761709. [PMID: 34901007 PMCID: PMC8652214 DOI: 10.3389/fcell.2021.761709] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 11/01/2021] [Indexed: 12/20/2022] Open
Abstract
The diverse applications of genetically modified cells and organisms require more precise and efficient genome-editing tool such as clustered regularly interspaced short palindromic repeats/CRISPR-associated protein (CRISPR/Cas). The CRISPR/Cas system was originally discovered in bacteria as a part of adaptive-immune system with multiple types. Its engineered versions involve multiple host DNA-repair pathways in order to perform genome editing in host cells. However, it is still challenging to get maximum genome-editing efficiency with fewer or no off-targets. Here, we focused on factors affecting the genome-editing efficiency and precision of CRISPR/Cas system along with its defense-mechanism, orthologues, and applications.
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Affiliation(s)
- Nasir Javaid
- Department of Molecular Science and Technology, Ajou University, Suwon, South Korea
| | - Sangdun Choi
- Department of Molecular Science and Technology, Ajou University, Suwon, South Korea
- S&K Therapeutics, Ajou University Campus Plaza, Suwon, South Korea
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47
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Abstract
CRISPR-Cas adaptive immune systems in bacteria and archaea utilize short CRISPR RNAs (crRNAs) to guide sequence-specific recognition and clearance of foreign genetic material. Multiple crRNAs are stored together in a compact format called a CRISPR array that is transcribed and processed into the individual crRNAs. While the exact processing mechanisms vary widely, some CRISPR-Cas systems, including those encoding the Cas9 nuclease, rely on a trans-activating crRNA (tracrRNA). The tracrRNA was discovered in 2011 and was quickly co-opted to create single-guide RNAs as core components of CRISPR-Cas9 technologies. Since then, further studies have uncovered processes extending beyond the traditional role of tracrRNA in crRNA biogenesis, revealed Cas nucleases besides Cas9 that are dependent on tracrRNAs, and established new applications based on tracrRNA engineering. In this review, we describe the biology of the tracrRNA and how its ongoing characterization has garnered new insights into prokaryotic immune defense and enabled key technological advances.
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Affiliation(s)
- Chunyu Liao
- Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), 97080 Würzburg, Germany;
| | - Chase L Beisel
- Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), 97080 Würzburg, Germany;
- Medical Faculty, University of Würzburg, 97080 Würzburg, Germany
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48
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Liao X, Li L, Jameel A, Xing XH, Zhang C. A versatile toolbox for CRISPR-based genome engineering in Pichia pastoris. Appl Microbiol Biotechnol 2021; 105:9211-9218. [PMID: 34773154 DOI: 10.1007/s00253-021-11688-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 10/26/2021] [Accepted: 11/07/2021] [Indexed: 10/19/2022]
Abstract
Pichia pastoris has gained much attention as a popular microbial cell factory for the production of recombinant proteins and high-value chemicals from laboratory to industrial scale. However, the lack of convenient and efficient genome engineering tools has impeded further applications of Pichia pastoris towards metabolic engineering and synthetic biology. Here, we report a CRISPR-based toolbox for gene editing and transcriptional regulation in P. pastoris. Based on the previous attempts in P. pastoris, we constructed a CRISPR/Cas9 system for gene editing using the RNA Pol-III-driven expression of sgRNA. The system was used to rapidly recycle the selectable marker with an eliminable episomal plasmid and achieved up to 100% knockout efficiency. Via dCas9 fused with transcriptional repressor (Mix1/RD1152) or activator (VPR), a flexible toolbox for regulation of gene expression was developed. The reporter gene eGFP driven by yeast pGAP or pCYC1 promoter showed strong inhibition (above 70%) and up to ~ 3.5-fold activation. To implement the combinatorial genetic engineering strategy, the CRISPR system contained a single Cas9-VPR protein, and engineered gRNA was introduced in P. pastoris for simultaneous gene activation, repression, and editing (CRISPR-ARE). We demonstrated that CRISPR-ARE was highly efficient for eGFP activation, mCherry repression, and ADE2 disruption, individually or in a combinatorial manner with a stable expression of multiplex sgRNAs. The simple and multifunctional toolkit demonstrated in this study will accelerate the application of P. pastoris in metabolic engineering and synthetic biology. KEY POINTS: • An eliminable CRISPR/Cas9 system yielded a highly efficient knockout of genes. • Simplified CRISPR/dCas9-based tools enabled transcriptional regulation of targeted genes. • CRISPR-ARE system achieved simultaneous gene activation, repression, and editing in P. pastoris.
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Affiliation(s)
- Xihao Liao
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, China.,Center for Synthetic and Systems Biology, Tsinghua University, Beijing, China
| | - Lu Li
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, China.,Center for Synthetic and Systems Biology, Tsinghua University, Beijing, China
| | - Aysha Jameel
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, China.,Center for Synthetic and Systems Biology, Tsinghua University, Beijing, China
| | - Xin-Hui Xing
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, China.,Center for Synthetic and Systems Biology, Tsinghua University, Beijing, China.,National Technology Innovation Center of Synthetic Biology, Tianjin, China
| | - Chong Zhang
- MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, China. .,Center for Synthetic and Systems Biology, Tsinghua University, Beijing, China. .,National Technology Innovation Center of Synthetic Biology, Tianjin, China.
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Ma S, Lv J, Feng Z, Rong Z, Lin Y. Get ready for the CRISPR/Cas system: A beginner's guide to the engineering and design of guide RNAs. J Gene Med 2021; 23:e3377. [PMID: 34270141 DOI: 10.1002/jgm.3377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Revised: 07/06/2021] [Accepted: 07/13/2021] [Indexed: 12/18/2022] Open
Abstract
The clustered regularly interspaced short palindromic repeats (CRISPR) system is a state-of-the-art tool for versatile genome editing that has advanced basic research dramatically, with great potential for clinic applications. The system consists of two key molecules: a CRISPR-associated (Cas) effector nuclease and a single guide RNA. The simplicity of the system has enabled the development of a wide spectrum of derivative methods. Almost any laboratory can utilize these methods, although new users may initially be confused when faced with the potentially overwhelming abundance of choices. Cas nucleases and their engineering have been systematically reviewed previously. In the present review, we discuss single guide RNA engineering and design strategies that facilitate more efficient, more specific and safer gene editing.
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Affiliation(s)
- Shufeng Ma
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, China
- Department of Nephrology, Shenzhen Hospital, Southern Medical University, Shenzhen, China
| | - Jie Lv
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, China
| | - Zinan Feng
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, China
| | - Zhili Rong
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, China
- Dermatology Hospital, Southern Medical University, Guangzhou, China
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
| | - Ying Lin
- Cancer Research Institute, School of Basic Medical Sciences, State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Southern Medical University, Guangzhou, China
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Winkler L, Dimitrova N. A mechanistic view of long noncoding RNAs in cancer. WILEY INTERDISCIPLINARY REVIEWS-RNA 2021; 13:e1699. [PMID: 34668345 PMCID: PMC9016092 DOI: 10.1002/wrna.1699] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 09/21/2021] [Accepted: 09/22/2021] [Indexed: 12/23/2022]
Abstract
Long noncoding RNAs (lncRNAs) have emerged as important modulators of a wide range of biological processes in normal and disease states. In particular, lncRNAs have garnered significant interest as novel players in the molecular pathology of cancer, spurring efforts to define the functions, and elucidate the mechanisms through which cancer‐associated lncRNAs operate. In this review, we discuss the prevalent mechanisms employed by lncRNAs, with a critical assessment of the methodologies used to determine each molecular function. We survey the abilities of cancer‐associated lncRNAs to enact diverse trans functions throughout the nucleus and in the cytoplasm and examine the local roles of cis‐acting lncRNAs in modulating the expression of neighboring genes. In linking lncRNA functions and mechanisms to their roles in cancer biology, we contend that a detailed molecular understanding of lncRNA functionality is key to elucidating their contributions to tumorigenesis and to unlocking their therapeutic potential. This article is categorized under:Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs RNA in Disease and Development > RNA in Disease
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Affiliation(s)
- Lauren Winkler
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, USA
| | - Nadya Dimitrova
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, USA
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