1
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Guan Y, Peltz G. Hepatic organoids move from adolescence to maturity. Liver Int 2024; 44:1290-1297. [PMID: 38451053 DOI: 10.1111/liv.15893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 02/08/2024] [Accepted: 02/28/2024] [Indexed: 03/08/2024]
Abstract
Since organoids were developed 15 years ago, they are now in their adolescence as a research tool. The ability to generate 'tissue in a dish' has created enormous opportunities for biomedical research. We examine the contributions that hepatic organoids have made to three areas of liver research: as a source of cells and tissue for basic research, for drug discovery and drug safety testing, and for understanding disease pathobiology. We discuss the features that enable hepatic organoids to provide useful models for human liver diseases and identify four types of advances that will enable them to become a mature (i.e., adult) research tool over the next 5 years. During this period, advances in single-cell RNA sequencing and CRISPR technologies coupled with improved hepatic organoid methodology, which enables them to have a wider range of cell types that are present in liver and to be grown in microwells, will generate discoveries that will dramatically advance our understanding of liver development and the pathogenesis of liver diseases. It will generate also new approaches for treating liver fibrosis, which remains a major public health problem with few treatment options.
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Affiliation(s)
- Yuan Guan
- Department of Anesthesia, Pain and Perioperative Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Gary Peltz
- Department of Anesthesia, Pain and Perioperative Medicine, Stanford University School of Medicine, Stanford, California, USA
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2
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Yaish O, Orenstein Y. Generating, modeling and evaluating a large-scale set of CRISPR/Cas9 off-target sites with bulges. Nucleic Acids Res 2024:gkae428. [PMID: 38813823 DOI: 10.1093/nar/gkae428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 04/12/2024] [Accepted: 05/08/2024] [Indexed: 05/31/2024] Open
Abstract
The CRISPR/Cas9 system is a highly accurate gene-editing technique, but it can also lead to unintended off-target sites (OTS). Consequently, many high-throughput assays have been developed to measure OTS in a genome-wide manner, and their data was used to train machine-learning models to predict OTS. However, these models are inaccurate when considering OTS with bulges due to limited data compared to OTS without bulges. Recently, CHANGE-seq, a new in vitro technique to detect OTS, was used to produce a dataset of unprecedented scale and quality. In addition, the same study produced in cellula GUIDE-seq experiments, but none of these GUIDE-seq experiments included bulges. Here, we generated the most comprehensive GUIDE-seq dataset with bulges, and trained and evaluated state-of-the-art machine-learning models that consider OTS with bulges. We first reprocessed the publicly available experimental raw data of the CHANGE-seq study to generate 20 new GUIDE-seq experiments, and hundreds of OTS with bulges among the original and new GUIDE-seq experiments. We then trained multiple machine-learning models, and demonstrated their state-of-the-art performance both in vitro and in cellula over all OTS and when focusing on OTS with bulges. Last, we visualized the key features learned by our models on OTS with bulges in a unique representation.
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Affiliation(s)
- Ofir Yaish
- School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel
| | - Yaron Orenstein
- Department of Computer Science, Bar-Ilan University, Ramat Gan 5290002, Israel
- The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 5290002, Israel
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3
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Hsiung CCS, Wilson CM, Sambold NA, Dai R, Chen Q, Teyssier N, Misiukiewicz S, Arab A, O'Loughlin T, Cofsky JC, Shi J, Gilbert LA. Engineered CRISPR-Cas12a for higher-order combinatorial chromatin perturbations. Nat Biotechnol 2024:10.1038/s41587-024-02224-0. [PMID: 38760567 DOI: 10.1038/s41587-024-02224-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 03/28/2024] [Indexed: 05/19/2024]
Abstract
Multiplexed genetic perturbations are critical for testing functional interactions among coding or non-coding genetic elements. Compared to double-stranded DNA cutting, repressive chromatin formation using CRISPR interference (CRISPRi) avoids genotoxicity and is more effective for perturbing non-coding regulatory elements in pooled assays. However, current CRISPRi pooled screening approaches are limited to targeting one to three genomic sites per cell. We engineer an Acidaminococcus Cas12a (AsCas12a) variant, multiplexed transcriptional interference AsCas12a (multiAsCas12a), that incorporates R1226A, a mutation that stabilizes the ribonucleoprotein-DNA complex via DNA nicking. The multiAsCas12a-KRAB fusion improves CRISPRi activity over DNase-dead AsCas12a-KRAB fusions, often rescuing the activities of lentivirally delivered CRISPR RNAs (crRNA) that are inactive when used with the latter. multiAsCas12a-KRAB supports CRISPRi using 6-plex crRNA arrays in high-throughput pooled screens. Using multiAsCas12a-KRAB, we discover enhancer elements and dissect the combinatorial function of cis-regulatory elements in human cells. These results instantiate a group testing framework for efficiently surveying numerous combinations of chromatin perturbations for biological discovery and engineering.
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Affiliation(s)
- C C-S Hsiung
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Urology, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Arc Institute, Palo Alto, CA, USA
| | - C M Wilson
- Department of Urology, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Arc Institute, Palo Alto, CA, USA
- Tetrad Graduate Program, University of California, San Francisco, CA, USA
| | | | - R Dai
- Department of Urology, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Arc Institute, Palo Alto, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Q Chen
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - N Teyssier
- Biological and Medical Informatics Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - S Misiukiewicz
- Department of Urology, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - A Arab
- Arc Institute, Palo Alto, CA, USA
| | - T O'Loughlin
- Department of Urology, University of California, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - J C Cofsky
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
| | - J Shi
- Department of Cancer Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - L A Gilbert
- Department of Urology, University of California, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
- Arc Institute, Palo Alto, CA, USA.
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4
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Pastoors D, Havermans M, Mulet-Lazaro R, Brian D, Noort W, Grasel J, Hoogenboezem R, Smeenk L, Demmers JAA, Milsom MD, Enver T, Groen RWJ, Bindels E, Delwel R. Oncogene EVI1 drives acute myeloid leukemia via a targetable interaction with CTBP2. SCIENCE ADVANCES 2024; 10:eadk9076. [PMID: 38748792 PMCID: PMC11095456 DOI: 10.1126/sciadv.adk9076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 04/10/2024] [Indexed: 05/19/2024]
Abstract
Acute myeloid leukemia (AML) driven by the activation of EVI1 due to chromosome 3q26/MECOM rearrangements is incurable. Because transcription factors such as EVI1 are notoriously hard to target, insight into the mechanism by which EVI1 drives myeloid transformation could provide alternative avenues for therapy. Applying protein folding predictions combined with proteomics technologies, we demonstrate that interaction of EVI1 with CTBP1 and CTBP2 via a single PLDLS motif is indispensable for leukemic transformation. A 4× PLDLS repeat construct outcompetes binding of EVI1 to CTBP1 and CTBP2 and inhibits proliferation of 3q26/MECOM rearranged AML in vitro and in xenotransplant models. This proof-of-concept study opens the possibility to target one of the most incurable forms of AML with specific EVI1-CTBP inhibitors. This has important implications for other tumor types with aberrant expression of EVI1 and for cancers transformed by different CTBP-dependent oncogenic transcription factors.
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Affiliation(s)
- Dorien Pastoors
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
- Oncode Institute, Utrecht, Netherlands
| | - Marije Havermans
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
- Oncode Institute, Utrecht, Netherlands
| | - Roger Mulet-Lazaro
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
- Oncode Institute, Utrecht, Netherlands
| | - Duncan Brian
- Stem Cell Group, UCL Cancer Institute, University College London, London, UK
| | - Willy Noort
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Cancer Center Amsterdam, Cancer biology and immunology, Amsterdam, Netherlands
| | - Julius Grasel
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), 69120 Heidelberg, Germany
- Division of Experimental Hematology, German Cancer Research Center, DKFZ69120 Heidelberg, Germany
| | - Remco Hoogenboezem
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Leonie Smeenk
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
- Oncode Institute, Utrecht, Netherlands
| | | | - Michael D. Milsom
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), 69120 Heidelberg, Germany
- Division of Experimental Hematology, German Cancer Research Center, DKFZ69120 Heidelberg, Germany
| | - Tariq Enver
- Stem Cell Group, UCL Cancer Institute, University College London, London, UK
| | - Richard W. J. Groen
- Department of Hematology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Cancer Center Amsterdam, Cancer biology and immunology, Amsterdam, Netherlands
| | - Eric Bindels
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Ruud Delwel
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
- Oncode Institute, Utrecht, Netherlands
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5
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Esmaeili Anvar N, Lin C, Ma X, Wilson LL, Steger R, Sangree AK, Colic M, Wang SH, Doench JG, Hart T. Efficient gene knockout and genetic interaction screening using the in4mer CRISPR/Cas12a multiplex knockout platform. Nat Commun 2024; 15:3577. [PMID: 38678031 PMCID: PMC11055879 DOI: 10.1038/s41467-024-47795-3] [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: 09/22/2023] [Accepted: 04/12/2024] [Indexed: 04/29/2024] Open
Abstract
Genetic interactions mediate the emergence of phenotype from genotype, but technologies for combinatorial genetic perturbation in mammalian cells are challenging to scale. Here, we identify background-independent paralog synthetic lethals from previous CRISPR genetic interaction screens, and find that the Cas12a platform provides superior sensitivity and assay replicability. We develop the in4mer Cas12a platform that uses arrays of four independent guide RNAs targeting the same or different genes. We construct a genome-scale library, Inzolia, that is ~30% smaller than a typical CRISPR/Cas9 library while also targeting ~4000 paralog pairs. Screens in cancer cells demonstrate discrimination of core and context-dependent essential genes similar to that of CRISPR/Cas9 libraries, as well as detection of synthetic lethal and masking/buffering genetic interactions between paralogs of various family sizes. Importantly, the in4mer platform offers a fivefold reduction in library size compared to other genetic interaction methods, substantially reducing the cost and effort required for these assays.
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Affiliation(s)
- Nazanin Esmaeili Anvar
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth, Houston, TX, USA
| | - Chenchu Lin
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingdi Ma
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth, Houston, TX, USA
| | - Lori L Wilson
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ryan Steger
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Annabel K Sangree
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Medina Colic
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sidney H Wang
- Center for Human Genetics, The Brown foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - John G Doench
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Traver Hart
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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6
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Li X, Dang Z, Tang W, Zhang H, Shao J, Jiang R, Zhang X, Huang F. Detection of Parasites in the Field: The Ever-Innovating CRISPR/Cas12a. BIOSENSORS 2024; 14:145. [PMID: 38534252 DOI: 10.3390/bios14030145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/11/2024] [Accepted: 03/12/2024] [Indexed: 03/28/2024]
Abstract
The rapid and accurate identification of parasites is crucial for prompt therapeutic intervention in parasitosis and effective epidemiological surveillance. For accurate and effective clinical diagnosis, it is imperative to develop a nucleic-acid-based diagnostic tool that combines the sensitivity and specificity of nucleic acid amplification tests (NAATs) with the speed, cost-effectiveness, and convenience of isothermal amplification methods. A new nucleic acid detection method, utilizing the clustered regularly interspaced short palindromic repeats (CRISPR)-associated (Cas) nuclease, holds promise in point-of-care testing (POCT). CRISPR/Cas12a is presently employed for the detection of Plasmodium falciparum, Toxoplasma gondii, Schistosoma haematobium, and other parasites in blood, urine, or feces. Compared to traditional assays, the CRISPR assay has demonstrated notable advantages, including comparable sensitivity and specificity, simple observation of reaction results, easy and stable transportation conditions, and low equipment dependence. However, a common issue arises as both amplification and cis-cleavage compete in one-pot assays, leading to an extended reaction time. The use of suboptimal crRNA, light-activated crRNA, and spatial separation can potentially weaken or entirely eliminate the competition between amplification and cis-cleavage. This could lead to enhanced sensitivity and reduced reaction times in one-pot assays. Nevertheless, higher costs and complex pre-test genome extraction have hindered the popularization of CRISPR/Cas12a in POCT.
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Affiliation(s)
- Xin Li
- School of Life Science and Engineering, Foshan University, Foshan 528225, China
| | - Zhisheng Dang
- National Institute of Parasitic Diseases, Chinese Center for Diseases Control and Prevention (Chinese Center for Tropical Diseases Research), Key Laboratory of Parasite and Vector Biology, National Health Commission of the People's Republic of China (NHC), World Health Organization (WHO) Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, China
| | - Wenqiang Tang
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Lhasa 850002, China
- Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa 850002, China
| | - Haoji Zhang
- School of Life Science and Engineering, Foshan University, Foshan 528225, China
| | - Jianwei Shao
- School of Life Science and Engineering, Foshan University, Foshan 528225, China
| | - Rui Jiang
- College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Xu Zhang
- School of Life Science and Engineering, Foshan University, Foshan 528225, China
| | - Fuqiang Huang
- School of Life Science and Engineering, Foshan University, Foshan 528225, China
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7
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Zhang F, Wang JY, Li CL, Zhang WG. HyCas9-12aGEP: an efficient genome editing platform for Corynebacterium glutamicum. Front Bioeng Biotechnol 2024; 12:1327172. [PMID: 38532881 PMCID: PMC10963414 DOI: 10.3389/fbioe.2024.1327172] [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: 10/24/2023] [Accepted: 02/27/2024] [Indexed: 03/28/2024] Open
Abstract
Corynebacterium glutamicum plays a crucial role as a significant industrial producer of metabolites. Despite the successful development of CRISPR-Cas9 and CRISPR-Cas12a-assisted genome editing technologies in C. glutamicum, their editing resolution and efficiency are hampered by the diverse on-target activities of guide RNAs (gRNAs). To address this problem, a hybrid CRISPR-Cas9-Cas12a genome editing platform (HyCas9-12aGEP) was developed in C. glutamicum in this study to co-express sgRNA (corresponding to SpCas9 guide RNA), crRNA (corresponding to FnCas12a guide RNA), or hfgRNA (formed by the fusion of sgRNA and crRNA). HyCas9-12aGEP improves the efficiency of mapping active gRNAs and outperforms both CRISPR-Cas9 and CRISPR-Cas12a in genome editing resolution and efficiency. In the experiment involving the deletion of the cg0697-0740 gene segment, an unexpected phenotype was observed, and HyCas9-12aGEP efficiently identified the responsible genotype from more than 40 genes. Here, HyCas9-12aGEP greatly improve our capability in terms of genome reprogramming in C. glutamicum.
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Affiliation(s)
- Feng Zhang
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
| | | | | | - Wei-Guo Zhang
- The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China
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8
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Hsiung CC, Wilson CM, Sambold NA, Dai R, Chen Q, Misiukiewicz S, Arab A, Teyssier N, O'Loughlin T, Cofsky JC, Shi J, Gilbert LA. Higher-order combinatorial chromatin perturbations by engineered CRISPR-Cas12a for functional genomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.09.18.558350. [PMID: 37781594 PMCID: PMC10541102 DOI: 10.1101/2023.09.18.558350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Multiplexed genetic perturbations are critical for testing functional interactions among coding or non-coding genetic elements. Compared to double-stranded DNA cutting, repressive chromatin formation using CRISPR interference (CRISPRi) avoids genotoxicity and is more effective for perturbing non-coding regulatory elements in pooled assays. However, current CRISPRi pooled screening approaches are limited to targeting 1-3 genomic sites per cell. To develop a tool for higher-order ( > 3) combinatorial targeting of genomic sites with CRISPRi in functional genomics screens, we engineered an Acidaminococcus Cas12a variant -- referred to as mul tiplexed transcriptional interference AsCas12a (multiAsCas12a). multiAsCas12a incorporates a key mutation, R1226A, motivated by the hypothesis of nicking-induced stabilization of the ribonucleoprotein:DNA complex for improving CRISPRi activity. multiAsCas12a significantly outperforms prior state-of-the-art Cas12a variants in combinatorial CRISPRi targeting using high-order multiplexed arrays of lentivirally transduced CRISPR RNAs (crRNA), including in high-throughput pooled screens using 6-plex crRNA array libraries. Using multiAsCas12a CRISPRi, we discover new enhancer elements and dissect the combinatorial function of cis-regulatory elements. These results instantiate a group testing framework for efficiently surveying potentially numerous combinations of chromatin perturbations for biological discovery and engineering.
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9
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Morshedzadeh F, Ghanei M, Lotfi M, Ghasemi M, Ahmadi M, Najari-Hanjani P, Sharif S, Mozaffari-Jovin S, Peymani M, Abbaszadegan MR. An Update on the Application of CRISPR Technology in Clinical Practice. Mol Biotechnol 2024; 66:179-197. [PMID: 37269466 PMCID: PMC10239226 DOI: 10.1007/s12033-023-00724-z] [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: 12/17/2022] [Accepted: 03/13/2023] [Indexed: 06/05/2023]
Abstract
The CRISPR/Cas system, an innovative gene-editing tool, is emerging as a promising technique for genome modifications. This straightforward technique was created based on the prokaryotic adaptive immune defense mechanism and employed in the studies on human diseases that proved enormous therapeutic potential. A genetically unique patient mutation in the process of gene therapy can be corrected by the CRISPR method to treat diseases that traditional methods were unable to cure. However, introduction of CRISPR/Cas9 into the clinic will be challenging because we still need to improve the technology's effectiveness, precision, and applications. In this review, we first describe the function and applications of the CRISPR-Cas9 system. We next delineate how this technology could be utilized for gene therapy of various human disorders, including cancer and infectious diseases and highlight the promising examples in the field. Finally, we document current challenges and the potential solutions to overcome these obstacles for the effective use of CRISPR-Cas9 in clinical practice.
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Affiliation(s)
- Firouzeh Morshedzadeh
- Department of Genetics, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahmoud Ghanei
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Malihe Lotfi
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Morteza Ghasemi
- Cellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran
| | - Mohsen Ahmadi
- Department of Medical Genetics, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Parisa Najari-Hanjani
- Department of Medical Genetics, Faculty of Advanced Technologies in Medicine, Golestan University of Medical Science, Gorgan, Iran
| | - Samaneh Sharif
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sina Mozaffari-Jovin
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Maryam Peymani
- Department of Genetics, Faculty of Basic Sciences, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
| | - Mohammad Reza Abbaszadegan
- Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
- Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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10
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Lee S, Aubee JI, Lai EC. Regulation of alternative splicing and polyadenylation in neurons. Life Sci Alliance 2023; 6:e202302000. [PMID: 37793776 PMCID: PMC10551640 DOI: 10.26508/lsa.202302000] [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: 02/19/2023] [Revised: 09/22/2023] [Accepted: 09/25/2023] [Indexed: 10/06/2023] Open
Abstract
Cell-type-specific gene expression is a fundamental feature of multicellular organisms and is achieved by combinations of regulatory strategies. Although cell-restricted transcription is perhaps the most widely studied mechanism, co-transcriptional and post-transcriptional processes are also central to the spatiotemporal control of gene functions. One general category of expression control involves the generation of multiple transcript isoforms from an individual gene, whose balance and cell specificity are frequently tightly regulated via diverse strategies. The nervous system makes particularly extensive use of cell-specific isoforms, specializing the neural function of genes that are expressed more broadly. Here, we review regulatory strategies and RNA-binding proteins that direct neural-specific isoform processing. These include various classes of alternative splicing and alternative polyadenylation events, both of which broadly diversify the neural transcriptome. Importantly, global alterations of splicing and alternative polyadenylation are characteristic of many neural pathologies, and recent genetic studies demonstrate how misregulation of individual neural isoforms can directly cause mutant phenotypes.
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Affiliation(s)
- Seungjae Lee
- Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA
| | - Joseph I Aubee
- Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA
| | - Eric C Lai
- Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA
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11
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Kjer-Hansen P, Weatheritt RJ. The function of alternative splicing in the proteome: rewiring protein interactomes to put old functions into new contexts. Nat Struct Mol Biol 2023; 30:1844-1856. [PMID: 38036695 DOI: 10.1038/s41594-023-01155-9] [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: 03/21/2023] [Accepted: 10/17/2023] [Indexed: 12/02/2023]
Abstract
Alternative splicing affects more than 95% of multi-exon genes in the human genome. These changes affect the proteome in a myriad of ways. Here, we review our understanding of the breadth of these changes from their effect on protein structure to their influence on interactions. These changes encompass effects on nucleic acid binding in the nucleus to protein-carbohydrate interactions in the extracellular milieu, altering interactions involving all major classes of biological molecules. Protein isoforms have profound influences on cellular and tissue physiology, for example, by shaping neuronal connections, enhancing insulin secretion by pancreatic beta cells and allowing for alternative viral defense strategies in stem cells. More broadly, alternative splicing enables repurposing proteins from one context to another and thereby contributes to both the evolution of new traits as well as the creation of disease-specific interactomes that drive pathological phenotypes. In this Review, we highlight this universal character of alternative splicing as a central regulator of protein function with implications for almost every biological process.
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Affiliation(s)
- Peter Kjer-Hansen
- EMBL Australia, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
- St. Vincent Clinical School, University of New South Wales, Darlinghurst, New South Wales, Australia.
| | - Robert J Weatheritt
- EMBL Australia, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia.
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12
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Schertzer MD, Stirn A, Isaev K, Pereira L, Das A, Harbison C, Park SH, Wessels HH, Sanjana NE, Knowles DA. Cas13d-mediated isoform-specific RNA knockdown with a unified computational and experimental toolbox. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.12.557474. [PMID: 37745416 PMCID: PMC10515814 DOI: 10.1101/2023.09.12.557474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Alternative splicing is an essential mechanism for diversifying proteins, in which mature RNA isoforms produce proteins with potentially distinct functions. Two major challenges in characterizing the cellular function of isoforms are the lack of experimental methods to specifically and efficiently modulate isoform expression and computational tools for complex experimental design. To address these gaps, we developed and methodically tested a strategy which pairs the RNA-targeting CRISPR/Cas13d system with guide RNAs that span exon-exon junctions in the mature RNA. We performed a high-throughput essentiality screen, quantitative RT-PCR assays, and PacBio long read sequencing to affirm our ability to specifically target and robustly knockdown individual RNA isoforms. In parallel, we provide computational tools for experimental design and screen analysis. Considering all possible splice junctions annotated in GENCODE for multi-isoform genes and our gRNA efficacy predictions, we estimate that our junction-centric strategy can uniquely target up to 89% of human RNA isoforms, including 50,066 protein-coding and 11,415 lncRNA isoforms. Importantly, this specificity spans all splicing and transcriptional events, including exon skipping and inclusion, alternative 5' and 3' splice sites, and alternative starts and ends.
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Affiliation(s)
- Megan D Schertzer
- New York Genome Center, New York, NY
- Department of Computer Science, Columbia University, New York, NY
| | - Andrew Stirn
- New York Genome Center, New York, NY
- Department of Computer Science, Columbia University, New York, NY
| | - Keren Isaev
- New York Genome Center, New York, NY
- Department of Systems Biology, Columbia University, New York, NY
| | | | - Anjali Das
- New York Genome Center, New York, NY
- Department of Computer Science, Columbia University, New York, NY
| | | | - Stella H Park
- New York Genome Center, New York, NY
- Department of Biomedical Engineering, Columbia University, New York, NY
| | - Hans-Hermann Wessels
- New York Genome Center, New York, NY
- Department of Biology, New York University, New York, NY
| | - Neville E Sanjana
- New York Genome Center, New York, NY
- Department of Biology, New York University, New York, NY
| | - David A Knowles
- New York Genome Center, New York, NY
- Department of Computer Science, Columbia University, New York, NY
- Department of Systems Biology, Columbia University, New York, NY
- Data Science Institute, Columbia University, New York, NY
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13
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Anvar NE, Lin C, Ma X, Wilson LL, Steger R, Sangree AK, Colic M, Wang SH, Doench JG, Hart T. Efficient gene knockout and genetic interactions: the IN4MER CRISPR/Cas12a multiplex knockout platform. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.03.522655. [PMID: 36712129 PMCID: PMC9881895 DOI: 10.1101/2023.01.03.522655] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Genetic interactions mediate the emergence of phenotype from genotype, but initial technologies for combinatorial genetic perturbation in mammalian cells suffer from inefficiency and are challenging to scale. Recent focus on paralog synthetic lethality in cancer cells offers an opportunity to evaluate different approaches and improve on the state of the art. Here we report a meta-analysis of CRISPR genetic interactions screens, identifying a candidate set of background-independent paralog synthetic lethals, and find that the Cas12a platform provides superior sensitivity and assay replicability. We demonstrate that Cas12a can independently target up to four genes from a single guide array, and we build on this knowledge by constructing a genome-scale library that expresses arrays of four guides per clone, a platform we call 'in4mer'. Our genome-scale human library, with only 49k clones, is substantially smaller than a typical CRISPR/Cas9 monogenic library while also targeting more than four thousand paralog pairs, triples, and quads. Proof of concept screens in four cell lines demonstrate discrimination of core and context-dependent essential genes similar to that of state-of-the-art CRISPR/Cas9 libraries, as well as detection of synthetic lethal and masking/buffering genetic interactions between paralogs of various family sizes, a capability not offered by any extant library. Importantly, the in4mer platform offers a fivefold reduction in the number of clones required to assay genetic interactions, dramatically improving the cost and effort required for these studies.
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Affiliation(s)
- Nazanin Esmaeili Anvar
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth, Houston, TX, USA
| | - Chenchu Lin
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingdi Ma
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth, Houston, TX, USA
| | - Lori L. Wilson
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ryan Steger
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Annabel K. Sangree
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Medina Colic
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sidney H. Wang
- Center for Human Genetics, The Brown foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - John G. Doench
- Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Traver Hart
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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14
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Simpson D, Ling J, Jing Y, Adamson B. Mapping the Genetic Interaction Network of PARP inhibitor Response. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.19.553986. [PMID: 37645833 PMCID: PMC10462155 DOI: 10.1101/2023.08.19.553986] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Genetic interactions have long informed our understanding of the coordinated proteins and pathways that respond to DNA damage in mammalian cells, but systematic interrogation of the genetic network underlying that system has yet to be achieved. Towards this goal, we measured 147,153 pairwise interactions among genes implicated in PARP inhibitor (PARPi) response. Evaluating genetic interactions at this scale, with and without exposure to PARPi, revealed hierarchical organization of the pathways and complexes that maintain genome stability during normal growth and defined changes that occur upon accumulation of DNA lesions due to cytotoxic doses of PARPi. We uncovered unexpected relationships among DNA repair genes, including context-specific buffering interactions between the minimally characterized AUNIP and BRCA1-A complex genes. Our work thus establishes a foundation for mapping differential genetic interactions in mammalian cells and provides a comprehensive resource for future studies of DNA repair and PARP inhibitors.
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Affiliation(s)
- Danny Simpson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Jia Ling
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Yangwode Jing
- Department of Chemistry, Princeton University, Princeton, NJ 08544, USA
| | - Britt Adamson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
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15
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Xu J, Liu Z, Zhang Z, Wu T. Unlocking the Full Potential of Cas12a: Exploring the Effects of Substrate and Reaction Conditions on Trans-Cleavage Activity. Anal Chem 2023. [PMID: 37392174 DOI: 10.1021/acs.analchem.3c01307] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2023]
Abstract
The trans-cleavage activity of Cas12a has been widely used with various applications. Here, we report that the trans-cleavage activity of Cas12a can be significantly affected by the fluorescent probe length and reaction buffer. The optimal probe length for Cas12a is found to be 15 nucleotides, and the optimal buffer is NEBuffer 4. Compared to the popularly used reaction conditions, the activity of Cas12a is improved by about 50-fold. In addition, the detection limit of Cas12a for DNA targets has been reduced by nearly three orders of magnitude. Our method provides a powerful tool for Cas12a trans-cleavage activity applications.
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Affiliation(s)
- Jie Xu
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhujun Liu
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhen Zhang
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tongbo Wu
- School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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16
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Xin Y, Zhang Y. Paralog-based synthetic lethality: rationales and applications. Front Oncol 2023; 13:1168143. [PMID: 37350942 PMCID: PMC10282757 DOI: 10.3389/fonc.2023.1168143] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 05/23/2023] [Indexed: 06/24/2023] Open
Abstract
Tumor cells can result from gene mutations and over-expression. Synthetic lethality (SL) offers a desirable setting where cancer cells bearing one mutated gene of an SL gene pair can be specifically targeted by disrupting the function of the other genes, while leaving wide-type normal cells unharmed. Paralogs, a set of homologous genes that have diverged from each other as a consequence of gene duplication, make the concept of SL feasible as the loss of one gene does not affect the cell's survival. Furthermore, homozygous loss of paralogs in tumor cells is more frequent than singletons, making them ideal SL targets. Although high-throughput CRISPR-Cas9 screenings have uncovered numerous paralog-based SL pairs, the unclear mechanisms of targeting these gene pairs and the difficulty in finding specific inhibitors that exclusively target a single but not both paralogs hinder further clinical development. Here, we review the potential mechanisms of paralog-based SL given their function and genetic combination, and discuss the challenge and application prospects of paralog-based SL in cancer therapeutic discovery.
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17
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Yu Y, Gao Y, He L, Fang B, Ge W, Yang P, Ju Y, Xie X, Lei L. Biomaterial-based gene therapy. MedComm (Beijing) 2023; 4:e259. [PMID: 37284583 PMCID: PMC10239531 DOI: 10.1002/mco2.259] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 03/17/2023] [Accepted: 03/21/2023] [Indexed: 06/08/2023] Open
Abstract
Gene therapy, a medical approach that involves the correction or replacement of defective and abnormal genes, plays an essential role in the treatment of complex and refractory diseases, such as hereditary diseases, cancer, and rheumatic immune diseases. Nucleic acids alone do not easily enter the target cells due to their easy degradation in vivo and the structure of the target cell membranes. The introduction of genes into biological cells is often dependent on gene delivery vectors, such as adenoviral vectors, which are commonly used in gene therapy. However, traditional viral vectors have strong immunogenicity while also presenting a potential infection risk. Recently, biomaterials have attracted attention for use as efficient gene delivery vehicles, because they can avoid the drawbacks associated with viral vectors. Biomaterials can improve the biological stability of nucleic acids and the efficiency of intracellular gene delivery. This review is focused on biomaterial-based delivery systems in gene therapy and disease treatment. Herein, we review the recent developments and modalities of gene therapy. Additionally, we discuss nucleic acid delivery strategies, with a focus on biomaterial-based gene delivery systems. Furthermore, the current applications of biomaterial-based gene therapy are summarized.
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Affiliation(s)
- Yi Yu
- Department of StomatologyThe Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Yijun Gao
- Department of StomatologyThe Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Liming He
- Department of StomatologyChangsha Stomatological HospitalChangshaChina
| | - Bairong Fang
- Department of Plastic and Aesthetic (Burn) SurgeryThe Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Wenhui Ge
- Department of StomatologyThe Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Pu Yang
- Department of Plastic and Aesthetic (Burn) SurgeryThe Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Yikun Ju
- Department of Plastic and Aesthetic (Burn) SurgeryThe Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Xiaoyan Xie
- Department of StomatologyThe Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Lanjie Lei
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical EngineeringSoutheast UniversityNanjingChina
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18
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Cetin R, Wegner M, Luwisch L, Saud S, Achmedov T, Süsser S, Vera-Guapi A, Müller K, Matthess Y, Quandt E, Schaubeck S, Beisel CL, Kaulich M. Optimized metrics for orthogonal combinatorial CRISPR screens. Sci Rep 2023; 13:7405. [PMID: 37149686 PMCID: PMC10164157 DOI: 10.1038/s41598-023-34597-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 05/04/2023] [Indexed: 05/08/2023] Open
Abstract
CRISPR-based gene perturbation enables unbiased investigations of single and combinatorial genotype-to-phenotype associations. In light of efforts to map combinatorial gene dependencies at scale, choosing an efficient and robust CRISPR-associated (Cas) nuclease is of utmost importance. Even though SpCas9 and AsCas12a are widely used for single, combinatorial, and orthogonal screenings, side-by-side comparisons remain sparse. Here, we systematically compared combinatorial SpCas9, AsCas12a, and CHyMErA in hTERT-immortalized retinal pigment epithelial cells and extracted performance-critical parameters for combinatorial and orthogonal CRISPR screens. Our analyses identified SpCas9 to be superior to enhanced and optimized AsCas12a, with CHyMErA being largely inactive in the tested conditions. Since AsCas12a contains RNA processing activity, we used arrayed dual-gRNAs to improve AsCas12a and CHyMErA applications. While this negatively influenced the effect size range of combinatorial AsCas12a applications, it enhanced the performance of CHyMErA. This improved performance, however, was limited to AsCas12a dual-gRNAs, as SpCas9 gRNAs remained largely inactive. To avoid the use of hybrid gRNAs for orthogonal applications, we engineered the multiplex SpCas9-enAsCas12a approach (multiSPAS) that avoids RNA processing for efficient orthogonal gene editing.
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Affiliation(s)
- Ronay Cetin
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Martin Wegner
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Leah Luwisch
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Sarada Saud
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Tatjana Achmedov
- Helmholtz-Centre for Infection Research (HZI), Helmholtz Institute for RNA-Based Infection Research (HIRI), 97080, Würzburg, Germany
| | - Sebastian Süsser
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Antonella Vera-Guapi
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Konstantin Müller
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Yves Matthess
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Eva Quandt
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
- Faculty of Medicine and Health Sciences, Universitat Internacional de Catalunya, 08195, Barcelona, Spain
| | - Simone Schaubeck
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany
| | - Chase L Beisel
- Helmholtz-Centre for Infection Research (HZI), Helmholtz Institute for RNA-Based Infection Research (HIRI), 97080, Würzburg, Germany
- Medical Faculty, University of Würzburg, 97080, Würzburg, Germany
| | - Manuel Kaulich
- Institute of Biochemistry II, Faculty of Medicine, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
- Frankfurt Cancer Institute, 60596, Frankfurt am Main, Germany.
- Cardio-Pulmonary Institute, 60590, Frankfurt am Main, Germany.
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19
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Ryan CJ, Mehta I, Kebabci N, Adams DJ. Targeting synthetic lethal paralogs in cancer. Trends Cancer 2023; 9:397-409. [PMID: 36890003 DOI: 10.1016/j.trecan.2023.02.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 02/02/2023] [Accepted: 02/07/2023] [Indexed: 03/08/2023]
Abstract
Synthetic lethal interactions, where mutation of one gene renders cells sensitive to inhibition of another gene, can be exploited for the development of targeted therapeutics in cancer. Pairs of duplicate genes (paralogs) often share common functionality and hence are a potentially rich source of synthetic lethal interactions. Because the majority of human genes have paralogs, exploiting such interactions could be a widely applicable approach for targeting gene loss in cancer. Moreover, existing small-molecule drugs may exploit synthetic lethal interactions by inhibiting multiple paralogs simultaneously. Consequently, the identification of synthetic lethal interactions between paralogs could be extremely informative for drug development. Here we review approaches to identify such interactions and discuss some of the challenges of exploiting them.
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Affiliation(s)
- Colm J Ryan
- Conway Institute and School of Computer Science, University College Dublin, Dublin, Ireland; Systems Biology Ireland, University College Dublin, Dublin, Ireland.
| | - Ishan Mehta
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Narod Kebabci
- Conway Institute and School of Computer Science, University College Dublin, Dublin, Ireland; Science Foundation Ireland (SFI) Centre for Research Training in Genomics Data Science, University College Dublin, Dublin, Ireland
| | - David J Adams
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
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20
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Ramakrishnan N, Malachowski T, Verma P. A high-content flow cytometry and dual CRISPR-Cas9 based platform to quantify genetic interactions. Methods Cell Biol 2023; 182:299-312. [PMID: 38359984 DOI: 10.1016/bs.mcb.2023.02.005] [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: 03/29/2023]
Abstract
Probing epistasis between two genes can be a critical first step in identifying the molecular players in a cellular pathway. The advent of CRISPR-Cas mediated genetic screen has enabled studying of these genetic interactions at a genomic scale. However, when combining depletion of two genes using CRISPR Cas9, reduced targeting efficiencies due to competition for Cas loading and recombination in the cloning step have emerged as key challenges. Moreover, given conventional CRISPR screens typically involve comparison between the initial and final time point, it is difficult to parse the time kinetics with which a perturbed genetic interaction impacts viability, and it also becomes challenging to assess epistasis with essential genes. Here, we discuss a high-throughput flow-based approach to study genetic interactions. By utilizing two different Cas9 orthologs and monitoring viability at multiple time points, this approach helps to effectively mitigate the limitations of Cas9 competition and enables assessment of genetic interactions with both essential and non-essential genes at a high temporal resolution.
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Affiliation(s)
- Natasha Ramakrishnan
- Division of Oncology, Department of Medicine, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, United States
| | - Taylor Malachowski
- Division of Oncology, Department of Medicine, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, United States
| | - Priyanka Verma
- Division of Oncology, Department of Medicine, Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, United States.
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21
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Using systems metabolic engineering strategies for high-oil maize breeding. Curr Opin Biotechnol 2023; 79:102847. [PMID: 36446144 DOI: 10.1016/j.copbio.2022.102847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/25/2022] [Accepted: 10/31/2022] [Indexed: 11/27/2022]
Abstract
Maize oil, which is a blend of fatty acid esters generated from triacylglycerol (TAG), is an important component of maize-derived food, feed, and biofuel. The kernel oil content in commercial high-oil maize hybrids averages ∼8%, which is far lower than that in developed high-oil maize lines (as high as 20%). Advances in high-oil maize genomics and genetics and the development of systems metabolic engineering technologies provide new opportunities for high-oil maize breeding. In this review, we discuss the possibility of using kernels and vegetative tissues as factories to produce TAG, eicosapentaenoic acid, and docosahexaenoic acid. We further propose specific implementation strategies based on the metabolic engineering of other species to develop transgenic and gene-editing products, as well as traditional breeding strategies, for application in high-oil maize breeding programs.
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22
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Cheng J, Lin G, Wang T, Wang Y, Guo W, Liao J, Yang P, Chen J, Shao X, Lu X, Zhu L, Wang Y, Fan X. Massively Parallel CRISPR-Based Genetic Perturbation Screening at Single-Cell Resolution. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2204484. [PMID: 36504444 PMCID: PMC9896079 DOI: 10.1002/advs.202204484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 11/09/2022] [Indexed: 06/17/2023]
Abstract
The clustered regularly interspaced short palindromic repeats (CRISPR)-based genetic screening has been demonstrated as a powerful approach for unbiased functional genomics research. Single-cell CRISPR screening (scCRISPR) techniques, which result from the combination of single-cell toolkits and CRISPR screening, allow dissecting regulatory networks in complex biological systems at unprecedented resolution. These methods allow cells to be perturbed en masse using a pooled CRISPR library, followed by high-content phenotyping. This is technically accomplished by annotating cells with sgRNA-specific barcodes or directly detectable sgRNAs. According to the integration of distinct single-cell technologies, these methods principally fall into four categories: scCRISPR with RNA-seq, scCRISPR with ATAC-seq, scCRISPR with proteome probing, and imaging-based scCRISPR. scCRISPR has deciphered genotype-phenotype relationships, genetic regulations, tumor biological issues, and neuropathological mechanisms. This review provides insight into the technical breakthrough of scCRISPR by systematically summarizing the advancements of various scCRISPR methodologies and analyzing their merits and limitations. In addition, an application-oriented approach guide is offered to meet researchers' individualized demands.
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Affiliation(s)
- Junyun Cheng
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Gaole Lin
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Tianhao Wang
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Yunzhu Wang
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Wenbo Guo
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Jie Liao
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Penghui Yang
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Jie Chen
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Xin Shao
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Xiaoyan Lu
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
- State Key Laboratory of Component‐Based Chinese MedicineInnovation Center in Zhejiang UniversityHangzhou310058China
- Jinhua Institute of Zhejiang UniversityJinhua321016China
| | - Ling Zhu
- The Save Sight InstituteFaculty of Medicine and Healththe University of SydneySydneyNSW2000Australia
| | - Yi Wang
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
- State Key Laboratory of Component‐Based Chinese MedicineInnovation Center in Zhejiang UniversityHangzhou310058China
- Future Health LaboratoryInnovation Center of Yangtze River DeltaZhejiang UniversityJiaxing314100China
| | - Xiaohui Fan
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
- State Key Laboratory of Component‐Based Chinese MedicineInnovation Center in Zhejiang UniversityHangzhou310058China
- Jinhua Institute of Zhejiang UniversityJinhua321016China
- The Save Sight InstituteFaculty of Medicine and Healththe University of SydneySydneyNSW2000Australia
- Future Health LaboratoryInnovation Center of Yangtze River DeltaZhejiang UniversityJiaxing314100China
- Westlake Laboratory of Life Sciences and BiomedicineHangzhou310024China
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23
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Chromatin complex dependencies reveal targeting opportunities in leukemia. Nat Commun 2023; 14:448. [PMID: 36707513 PMCID: PMC9883437 DOI: 10.1038/s41467-023-36150-7] [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: 09/19/2022] [Accepted: 01/18/2023] [Indexed: 01/28/2023] Open
Abstract
Chromatin regulators are frequently mutated in human cancer and are attractive drug targets. They include diverse proteins that share functional domains and assemble into related multi-subunit complexes. To investigate functional relationships among these regulators, here we apply combinatorial CRISPR knockouts (KOs) to test over 35,000 gene-gene pairings in leukemia cells, using a library of over 300,000 constructs. Top pairs that demonstrate either compensatory non-lethal interactions or synergistic lethality enrich for paralogs and targets that occupy the same protein complex. The screen highlights protein complex dependencies not apparent in single KO screens, for example MCM histone exchange, the nucleosome remodeling and deacetylase (NuRD) complex, and HBO1 (KAT7) complex. We explore two approaches to NuRD complex inactivation. Paralog and non-paralog combinations of the KAT7 complex emerge as synergistic lethal and specifically nominate the ING5 PHD domain as a potential therapeutic target when paired with other KAT7 complex member losses. These findings highlight the power of combinatorial screening to provide mechanistic insight and identify therapeutic targets within redundant networks.
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24
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Arna AB, Patel H, Singh RS, Vizeacoumar FS, Kusalik A, Freywald A, Vizeacoumar FJ, Wu Y. Synthetic lethal interactions of DEAD/H-box helicases as targets for cancer therapy. Front Oncol 2023; 12:1087989. [PMID: 36761420 PMCID: PMC9905851 DOI: 10.3389/fonc.2022.1087989] [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: 11/02/2022] [Accepted: 12/28/2022] [Indexed: 01/26/2023] Open
Abstract
DEAD/H-box helicases are implicated in virtually every aspect of RNA metabolism, including transcription, pre-mRNA splicing, ribosomes biogenesis, nuclear export, translation initiation, RNA degradation, and mRNA editing. Most of these helicases are upregulated in various cancers and mutations in some of them are associated with several malignancies. Lately, synthetic lethality (SL) and synthetic dosage lethality (SDL) approaches, where genetic interactions of cancer-related genes are exploited as therapeutic targets, are emerging as a leading area of cancer research. Several DEAD/H-box helicases, including DDX3, DDX9 (Dbp9), DDX10 (Dbp4), DDX11 (ChlR1), and DDX41 (Sacy-1), have been subjected to SL analyses in humans and different model organisms. It remains to be explored whether SDL can be utilized to identity druggable targets in DEAD/H-box helicase overexpressing cancers. In this review, we analyze gene expression data of a subset of DEAD/H-box helicases in multiple cancer types and discuss how their SL/SDL interactions can be used for therapeutic purposes. We also summarize the latest developments in clinical applications, apart from discussing some of the challenges in drug discovery in the context of targeting DEAD/H-box helicases.
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Affiliation(s)
- Ananna Bhadra Arna
- Department of Biochemistry, Microbiology and Immunology, University of Saskatchewan, Saskatoon, SK, Canada
| | - Hardikkumar Patel
- Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Ravi Shankar Singh
- Department of Biochemistry, Microbiology and Immunology, University of Saskatchewan, Saskatoon, SK, Canada
| | - Frederick S. Vizeacoumar
- Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Anthony Kusalik
- Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada
| | - Andrew Freywald
- Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Franco J. Vizeacoumar
- Division of Oncology, College of Medicine, University of Saskatchewan and Saskatchewan Cancer Agency, Saskatoon, SK, Canada,*Correspondence: Yuliang Wu, ; Franco J. Vizeacoumar,
| | - Yuliang Wu
- Department of Biochemistry, Microbiology and Immunology, University of Saskatchewan, Saskatoon, SK, Canada,*Correspondence: Yuliang Wu, ; Franco J. Vizeacoumar,
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25
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Singh A, Rajeevan A, Gopalan V, Agrawal P, Day CP, Hannenhalli S. Broad misappropriation of developmental splicing profile by cancer in multiple organs. Nat Commun 2022; 13:7664. [PMID: 36509773 PMCID: PMC9744839 DOI: 10.1038/s41467-022-35322-1] [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: 12/18/2021] [Accepted: 11/29/2022] [Indexed: 12/14/2022] Open
Abstract
Oncogenesis mimics key aspects of embryonic development. However, the underlying mechanisms are incompletely understood. Here, we demonstrate that the splicing events specifically active during human organogenesis, are broadly reactivated in the organ-specific tumor. Such events are associated with key oncogenic processes and predict proliferation rates in cancer cell lines as well as patient survival. Such events preferentially target nitrosylation and transmembrane-region domains, whose coordinated splicing in multiple genes respectively affect intracellular transport and N-linked glycosylation. We infer critical splicing factors potentially regulating embryonic splicing events and show that such factors are potential oncogenic drivers and are upregulated specifically in malignant cells. Multiple complementary analyses point to MYC and FOXM1 as potential transcriptional regulators of critical splicing factors in brain and liver. Our study provides a comprehensive demonstration of a splicing-mediated link between development and cancer, and suggest anti-cancer targets including splicing events, and their upstream splicing and transcriptional regulators.
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Affiliation(s)
- Arashdeep Singh
- grid.48336.3a0000 0004 1936 8075Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Arati Rajeevan
- grid.48336.3a0000 0004 1936 8075Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Vishaka Gopalan
- grid.48336.3a0000 0004 1936 8075Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Piyush Agrawal
- grid.48336.3a0000 0004 1936 8075Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Chi-Ping Day
- grid.94365.3d0000 0001 2297 5165Laboratory of Cancer Biology and Genetics National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Sridhar Hannenhalli
- grid.48336.3a0000 0004 1936 8075Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
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26
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Shi H, Doench JG, Chi H. CRISPR screens for functional interrogation of immunity. Nat Rev Immunol 2022:10.1038/s41577-022-00802-4. [DOI: 10.1038/s41577-022-00802-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2022] [Indexed: 12/13/2022]
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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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Yaish O, Asif M, Orenstein Y. A systematic evaluation of data processing and problem formulation of CRISPR off-target site prediction. Brief Bioinform 2022; 23:bbac157. [PMID: 35595297 DOI: 10.1093/bib/bbac157] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 03/24/2022] [Accepted: 04/07/2022] [Indexed: 11/14/2022] Open
Abstract
CRISPR/Cas9 system is widely used in a broad range of gene-editing applications. While this editing technique is quite accurate in the target region, there may be many unplanned off-target sites (OTSs). Consequently, a plethora of computational methods have been developed to predict off-target cleavage sites given a guide RNA and a reference genome. However, these methods are based on small-scale datasets (only tens to hundreds of OTSs) produced by experimental techniques to detect OTSs with a low signal-to-noise ratio. Recently, CHANGE-seq, a new in vitro experimental technique to detect OTSs, was used to produce a dataset of unprecedented scale and quality (>200 000 OTS over 110 guide RNAs). In addition, the same study included in cellula GUIDE-seq experiments for 58 of the guide RNAs. Here, we fill the gap in previous computational methods by utilizing these data to systematically evaluate data processing and formulation of the CRISPR OTSs prediction problem. Our evaluations show that data transformation as a pre-processing phase is critical prior to model training. Moreover, we demonstrate the improvement gained by adding potential inactive OTSs to the training datasets. Furthermore, our results point to the importance of adding the number of mismatches between guide RNAs and their OTSs as a feature. Finally, we present predictive off-target in cellula models based on both in vitro and in cellula data and compare them to state-of-the-art methods in predicting true OTSs. Our conclusions will be instrumental in any future development of an off-target predictor based on high-throughput datasets.
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Affiliation(s)
- Ofir Yaish
- School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Maor Asif
- School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Yaron Orenstein
- School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel
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29
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Han H, Best AJ, Braunschweig U, Mikolajewicz N, Li JD, Roth J, Chowdhury F, Mantica F, Nabeel-Shah S, Parada G, Brown KR, O'Hanlon D, Wei J, Yao Y, Zid AA, Comsa LC, Jen M, Wang J, Datti A, Gonatopoulos-Pournatzis T, Weatheritt RJ, Greenblatt JF, Wrana JL, Irimia M, Gingras AC, Moffat J, Blencowe BJ. Systematic exploration of dynamic splicing networks reveals conserved multistage regulators of neurogenesis. Mol Cell 2022; 82:2982-2999.e14. [PMID: 35914530 PMCID: PMC10686216 DOI: 10.1016/j.molcel.2022.06.036] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 04/16/2022] [Accepted: 06/29/2022] [Indexed: 11/19/2022]
Abstract
Alternative splicing (AS) is a critical regulatory layer; yet, factors controlling functionally coordinated splicing programs during developmental transitions are poorly understood. Here, we employ a screening strategy to identify factors controlling dynamic splicing events important for mammalian neurogenesis. Among previously unknown regulators, Rbm38 acts widely to negatively control neural AS, in part through interactions mediated by the established repressor of splicing, Ptbp1. Puf60, a ubiquitous factor, is surprisingly found to promote neural splicing patterns. This activity requires a conserved, neural-differential exon that remodels Puf60 co-factor interactions. Ablation of this exon rewires distinct AS networks in embryonic stem cells and at different stages of mouse neurogenesis. Single-cell transcriptome analyses further reveal distinct roles for Rbm38 and Puf60 isoforms in establishing neuronal identity. Our results describe important roles for previously unknown regulators of neurogenesis and establish how an alternative exon in a widely expressed splicing factor orchestrates temporal control over cell differentiation.
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Affiliation(s)
- Hong Han
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada.
| | - Andrew J Best
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | | | | | - Jack Daiyang Li
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Jonathan Roth
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Fuad Chowdhury
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Federica Mantica
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, Barcelona 08003, Spain
| | - Syed Nabeel-Shah
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Guillermo Parada
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Kevin R Brown
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Dave O'Hanlon
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Jiarun Wei
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Yuxi Yao
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Abdelrahman Abou Zid
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada
| | - Lim Caden Comsa
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Mark Jen
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Jenny Wang
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Alessandro Datti
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Thomas Gonatopoulos-Pournatzis
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Center for Cancer Research National Cancer Institute, Frederick, MD 21702-1201, USA
| | - Robert J Weatheritt
- EMBL Australia, Garvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia; St. Vincent Clinical School, University of New South Wales, Darlinghurst, NSW 2010, Australia
| | - Jack F Greenblatt
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Jeffrey L Wrana
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Manuel Irimia
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Dr. Aiguader, 88, Barcelona 08003, Spain; Universitat Pompeu Fabra, Barcelona, Spain; ICREA, Barcelona, Spain
| | - Anne-Claude Gingras
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada
| | - Jason Moffat
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada.
| | - Benjamin J Blencowe
- Donnelly Centre, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
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30
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Li R, Klingbeil O, Monducci D, Young MJ, Rodriguez DJ, Bayyat Z, Dempster JM, Kesar D, Yang X, Zamanighomi M, Vakoc CR, Ito T, Sellers WR. Comparative optimization of combinatorial CRISPR screens. Nat Commun 2022; 13:2469. [PMID: 35513429 PMCID: PMC9072436 DOI: 10.1038/s41467-022-30196-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 04/21/2022] [Indexed: 12/14/2022] Open
Abstract
Combinatorial CRISPR technologies have emerged as a transformative approach to systematically probe genetic interactions and dependencies of redundant gene pairs. However, the performance of different functional genomic tools for multiplexing sgRNAs vary widely. Here, we generate and benchmark ten distinct pooled combinatorial CRISPR libraries targeting paralog pairs to optimize digenic knockout screens. Libraries composed of dual Streptococcus pyogenes Cas9 (spCas9), orthogonal spCas9 and Staphylococcus aureus (saCas9), and enhanced Cas12a from Acidaminococcus were evaluated. We demonstrate a combination of alternative tracrRNA sequences from spCas9 consistently show superior effect size and positional balance between the sgRNAs as a robust combinatorial approach to profile genetic interactions of multiple genes.
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Affiliation(s)
- Ruitong Li
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Olaf Klingbeil
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | | | | | - Zaid Bayyat
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | - Devishi Kesar
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Xiaoping Yang
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | | | | | - Takahiro Ito
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Scorpion Therapeutics, Boston, MA, USA.
| | - William R Sellers
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
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31
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Kershanskaya OI, Yessenbaeva GL, Nelidova DS, Karabekova AN, Sadullaeva ZN. CRISPR/Cas genome editing perspectives for barley breeding. PHYSIOLOGIA PLANTARUM 2022; 174:e13686. [PMID: 35451132 DOI: 10.1111/ppl.13686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 02/01/2022] [Accepted: 04/07/2022] [Indexed: 06/14/2023]
Abstract
The CRISPR/Cas9 technology shows potential to improve crop breeding efficiency and antiviral defense. The interest in DNA editing in crops has grown due to the possibility of increasing the resistance of different plants to many viruses. Our aim was to create an elite disease-resistant local barley cultivar using CRISPR/Cas9 biotechnology. For this purpose, we used CRISPR/Cas 9-eIF4E with the eukaryotic translation initiation factor 4E (eIF4E) barley gene to edit the genomes of five local Kazakhstan barley cultivars. After identifying the single guide RNA (sgRNA) target sequences, they were synthesized and cloned into the CRISPR-plant vector before being introduced into barley cells via our own patented Agrobacterium germ-line transformation technique. Barley plants eIF4E-modified were successfully obtained and were resistant to virus infection. Based on our research, the CRISPR/Cas9 system for plant genome editing could be a prospect for applying this breakthrough biotechnology in barley breeding.
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Affiliation(s)
- Olga I Kershanskaya
- Laboratory of Cell Engineering, Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan
| | - Gulvira L Yessenbaeva
- Laboratory of Cell Engineering, Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan
| | - Darya S Nelidova
- Laboratory of Cell Engineering, Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan
| | - Aizhan N Karabekova
- Laboratory of Cell Engineering, Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan
| | - Zarina N Sadullaeva
- Laboratory of Cell Engineering, Institute of Plant Biology and Biotechnology, Almaty, Kazakhstan
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32
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Köferle A, Schlattl A, Hörmann A, Thatikonda V, Popa A, Spreitzer F, Ravichandran MC, Supper V, Oberndorfer S, Puchner T, Wieshofer C, Corcokovic M, Reiser C, Wöhrle S, Popow J, Pearson M, Martinez J, Weitzer S, Mair B, Neumüller RA. Interrogation of cancer gene dependencies reveals paralog interactions of autosome and sex chromosome-encoded genes. Cell Rep 2022; 39:110636. [PMID: 35417719 DOI: 10.1016/j.celrep.2022.110636] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 12/22/2021] [Accepted: 03/16/2022] [Indexed: 02/07/2023] Open
Abstract
Genetic networks are characterized by extensive buffering. During tumor evolution, disruption of functional redundancies can create de novo vulnerabilities that are specific to cancer cells. Here, we systematically search for cancer-relevant paralog interactions using CRISPR screens and publicly available loss-of-function datasets. Our analysis reveals >2,000 candidate dependencies, several of which we validate experimentally, including CSTF2-CSTF2T, DNAJC15-DNAJC19, FAM50A-FAM50B, and RPP25-RPP25L. We provide evidence that RPP25L can physically and functionally compensate for the absence of RPP25 as a member of the RNase P/MRP complexes in tRNA processing. Our analysis also reveals unexpected redundancies between sex chromosome genes. We show that chrX- and chrY-encoded paralogs, such as ZFX-ZFY, DDX3X-DDX3Y, and EIF1AX-EIF1AY, are functionally linked. Tumor cell lines from male patients with loss of chromosome Y become dependent on the chrX-encoded gene. We propose targeting of chrX-encoded paralogs as a general therapeutic strategy for human tumors that have lost the Y chromosome.
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Affiliation(s)
- Anna Köferle
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Andreas Schlattl
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Alexandra Hörmann
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Venu Thatikonda
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Alexandra Popa
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Fiona Spreitzer
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | | | - Verena Supper
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Sarah Oberndorfer
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Teresa Puchner
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Corinna Wieshofer
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Maja Corcokovic
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Christoph Reiser
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Simon Wöhrle
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Johannes Popow
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Mark Pearson
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria
| | - Javier Martinez
- Max Perutz Labs, Medical University of Vienna, Vienna BioCenter (VBC), Dr. Bohr-Gasse 9/2, 1030 Vienna, Austria
| | - Stefan Weitzer
- Max Perutz Labs, Medical University of Vienna, Vienna BioCenter (VBC), Dr. Bohr-Gasse 9/2, 1030 Vienna, Austria
| | - Barbara Mair
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria.
| | - Ralph A Neumüller
- Boehringer Ingelheim RCV GmbH & Co KG, Doktor-Boehringer-Gasse 5-11, 1120 Vienna, Austria.
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33
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Multiplexed genome regulation in vivo with hyper-efficient Cas12a. Nat Cell Biol 2022; 24:590-600. [PMID: 35414015 PMCID: PMC9035114 DOI: 10.1038/s41556-022-00870-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 02/15/2022] [Indexed: 12/12/2022]
Abstract
Multiplexed modulation of endogenous genes is crucial for sophisticated gene therapy and cell engineering. CRISPR-Cas12a systems enable versatile multiple-genomic-loci targeting by processing numerous CRISPR RNAs (crRNAs) from a single transcript; however, their low efficiency has hindered in vivo applications. Through structure-guided protein engineering, we developed a hyper-efficient Lachnospiraceae bacterium Cas12a variant, termed hyperCas12a, with its catalytically dead version hyperdCas12a showing significantly enhanced efficacy for gene activation, particularly at low concentrations of crRNA. We demonstrate that hyperdCas12a has comparable off-target effects compared with the wild-type system and exhibits enhanced activity for gene editing and repression. Delivery of the hyperdCas12a activator and a single crRNA array simultaneously activating the endogenous Oct4, Sox2 and Klf4 genes in the retina of post-natal mice alters the differentiation of retinal progenitor cells. The hyperCas12a system offers a versatile in vivo tool for a broad range of gene-modulation and gene-therapy applications.
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34
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Rasul MF, Hussen BM, Salihi A, Ismael BS, Jalal PJ, Zanichelli A, Jamali E, Baniahmad A, Ghafouri-Fard S, Basiri A, Taheri M. Strategies to overcome the main challenges of the use of CRISPR/Cas9 as a replacement for cancer therapy. Mol Cancer 2022; 21:64. [PMID: 35241090 PMCID: PMC8892709 DOI: 10.1186/s12943-021-01487-4] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 12/26/2021] [Indexed: 12/11/2022] Open
Abstract
CRISPR/Cas9 (clustered regularly interspaced short palindromic repeats-associated protein 9) shows the opportunity to treat a diverse array of untreated various genetic and complicated disorders. Therapeutic genome editing processes that target disease-causing genes or mutant genes have been greatly accelerated in recent years as a consequence of improvements in sequence-specific nuclease technology. However, the therapeutic promise of genome editing has yet to be explored entirely, many challenges persist that increase the risk of further mutations. Here, we highlighted the main challenges facing CRISPR/Cas9-based treatments and proposed strategies to overcome these limitations, for further enhancing this revolutionary novel therapeutics to improve long-term treatment outcome human health.
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Affiliation(s)
- Mohammed Fatih Rasul
- Department of Medical Analysis, Faculty of Applied Science, Tishk International University, Erbil, Kurdistan Region, Iraq
| | - Bashdar Mahmud Hussen
- Department of Pharmacognosy, College of Pharmacy, Hawler Medical University, Kurdistan region, Erbil, Iraq.,Center of Research and Strategic Studies, Lebanese French University, Erbil, Iraq
| | - Abbas Salihi
- Center of Research and Strategic Studies, Lebanese French University, Erbil, Iraq.,Department of Biology, College of Science, Salahaddin University-Erbil, Erbil, Iraq
| | - Bnar Saleh Ismael
- Department of Pharmacology and Toxicology, College of Pharmacy, Hawler Medical University, Kurdistan region, Erbil, Iraq
| | - Paywast Jamal Jalal
- Biology Department, College of Science, University of Sulaimani, Sulaimani, Iraq
| | - Anna Zanichelli
- Department of Biomedical Sciences, University of Westminster, London, UK
| | - Elena Jamali
- Department of Pathology, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Aria Baniahmad
- Institute of Human Genetics, Jena University Hospital, Jena, Germany
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Abbas Basiri
- Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Taheri
- Institute of Human Genetics, Jena University Hospital, Jena, Germany. .,Men's Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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35
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Functional buffering via cell-specific gene expression promotes tissue homeostasis and cancer robustness. Sci Rep 2022; 12:2974. [PMID: 35194081 PMCID: PMC8863889 DOI: 10.1038/s41598-022-06813-4] [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] [Received: 08/25/2021] [Accepted: 02/03/2022] [Indexed: 11/08/2022] Open
Abstract
Functional buffering that ensures biological robustness is critical for maintaining tissue homeostasis, organismal survival, and evolution of novelty. However, the mechanism underlying functional buffering, particularly in multicellular organisms, remains largely elusive. Here, we proposed that functional buffering can be mediated via expression of buffering genes in specific cells and tissues, by which we named Cell-specific Expression-BUffering (CEBU). We developed an inference index (C-score) for CEBU by computing C-scores across 684 human cell lines using genome-wide CRISPR screens and transcriptomic RNA-seq. We report that C-score-identified putative buffering gene pairs are enriched for members of the same duplicated gene family, pathway, and protein complex. Furthermore, CEBU is especially prevalent in tissues of low regenerative capacity (e.g., bone and neuronal tissues) and is weakest in highly regenerative blood cells, linking functional buffering to tissue regeneration. Clinically, the buffering capacity enabled by CEBU can help predict patient survival for multiple cancers. Our results suggest CEBU as a potential buffering mechanism contributing to tissue homeostasis and cancer robustness in humans.
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36
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Gohr A, Mantica F, Hermoso-Pulido A, Tapial J, Márquez Y, Irimia M. Computational Analysis of Alternative Splicing Using VAST-TOOLS and the VastDB Framework. Methods Mol Biol 2022; 2537:97-128. [PMID: 35895261 DOI: 10.1007/978-1-0716-2521-7_7] [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: 06/15/2023]
Abstract
Alternative splicing (AS) can vastly expand animal transcriptomes and proteomes. Two main open questions in the field are how AS is regulated across cell/tissue types and disease, and what roles different AS events play. To facilitate AS research, we have created the computational VastDB framework, which comprises a series of complementary software and resources that we describe in this chapter. The VastDB framework is especially designed to aid biomedical researchers without a strong computational background. It offers tools and resources to: (a) quantify AS and identify differentially spliced AS events using RNA-seq data (vast-tools), (b) perform multiple genomic and sequence analyses for investigating AS events (Matt), (c) identify AS events with genomic and regulatory conservation among species (ExOrthist), and (d) help with the biological interpretation of the results, and, ultimately, with the identification of interesting AS events to design wet-lab experiments (VastDB and PastDB).
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Affiliation(s)
- André Gohr
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Federica Mantica
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Antonio Hermoso-Pulido
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Javier Tapial
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Yamile Márquez
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Manuel Irimia
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.
- Universitat Pompeu Fabra, Barcelona, Spain.
- ICREA, Barcelona, Spain.
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37
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Kuzmin E, Taylor JS, Boone C. Retention of duplicated genes in evolution. Trends Genet 2022; 38:59-72. [PMID: 34294428 PMCID: PMC8678172 DOI: 10.1016/j.tig.2021.06.016] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/22/2021] [Accepted: 06/24/2021] [Indexed: 01/03/2023]
Abstract
Gene duplication is a prevalent phenomenon across the tree of life. The processes that lead to the retention of duplicated genes are not well understood. Functional genomics approaches in model organisms, such as yeast, provide useful tools to test the mechanisms underlying retention with functional redundancy and divergence of duplicated genes, including fates associated with neofunctionalization, subfunctionalization, back-up compensation, and dosage amplification. Duplicated genes may also be retained as a consequence of structural and functional entanglement. Advances in human gene editing have enabled the interrogation of duplicated genes in the human genome, providing new tools to evaluate the relative contributions of each of these factors to duplicate gene retention and the evolution of genome structure.
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Affiliation(s)
- Elena Kuzmin
- Department of Biochemistry, Rosalind and Morris Goodman Cancer Research Centre, McGill University, 1160 Ave des Pins Ouest, Montreal, Quebec, H3A 1A3, Canada.,Correspondence to: (E.K.)
| | - John S. Taylor
- Department of Biology, University of Victoria, PO Box 1700, Station CSC, Victoria, BC, V8W 2Y2, Canada
| | - Charles Boone
- Department of Molecular Genetics, Donnelly Centre, University of Toronto, 160 College Street, Toronto ON, M5S 3E1, Canada.,RIKEN Centre for Sustainable Resource Science, Waiko, Saitama, Japan
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38
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Common computational tools for analyzing CRISPR screens. Emerg Top Life Sci 2021; 5:779-788. [PMID: 34881774 PMCID: PMC8786280 DOI: 10.1042/etls20210222] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/22/2021] [Accepted: 11/24/2021] [Indexed: 12/13/2022]
Abstract
CRISPR–Cas technology offers a versatile toolbox for genome editing, with applications in various cancer-related fields such as functional genomics, immunotherapy, synthetic lethality and drug resistance, metastasis, genome regulation, chromatic accessibility and RNA-targeting. The variety of screening platforms and questions in which they are used have caused the development of a wide array of analytical methods for CRISPR analysis. In this review, we focus on the algorithms and frameworks used in the computational analysis of pooled CRISPR knockout (KO) screens and highlight some of the most significant target discoveries made using these methods. Lastly, we offer perspectives on the design and analysis of state-of-art multiplex screening for genetic interactions.
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39
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Dandage R, Landry CR. Identifying features of genome evolution to exploit cancer vulnerabilities. Cell Syst 2021; 12:1127-1130. [PMID: 34914903 DOI: 10.1016/j.cels.2021.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Cancer treatment strategies include exploiting genetic vulnerabilities offered by synthetic lethal (SL) interactions between paralogs. In this issue of Cell Systems, De Kegel et al. (2021) apply a machine learning approach to predict robust SL paralogs in the human genome, highlighting genome evolutionary features as key predictors.
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Affiliation(s)
- Rohan Dandage
- Département de biologie, Université Laval, 1030 Avenue de la médecine, Québec, QC G1V 0A6, Canada; Département de biochimie, microbiologie et bio-informatique, Université Laval, 1030 Avenue de la médecine, Québec, QC G1V 0A6, Canada; Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, 1030 Avenue de la médecine, Québec, QC G1V 0A6, Canada; The Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université Laval, 1030 Avenue de la médecine, Québec, QC G1V 0A6, Canada; Centre de recherche en données massive (CRDM), Université Laval, 1030 Avenue de la médecine, Québec, QC G1V 0A6, Canada
| | - Christian R Landry
- Département de biologie, Université Laval, 1030 Avenue de la médecine, Québec, QC G1V 0A6, Canada; Département de biochimie, microbiologie et bio-informatique, Université Laval, 1030 Avenue de la médecine, Québec, QC G1V 0A6, Canada; Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, 1030 Avenue de la médecine, Québec, QC G1V 0A6, Canada; The Quebec Network for Research on Protein Function, Engineering, and Applications (PROTEO), Université Laval, 1030 Avenue de la médecine, Québec, QC G1V 0A6, Canada; Centre de recherche en données massive (CRDM), Université Laval, 1030 Avenue de la médecine, Québec, QC G1V 0A6, Canada.
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40
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Pemovska T, Bigenzahn JW, Srndic I, Lercher A, Bergthaler A, César-Razquin A, Kartnig F, Kornauth C, Valent P, Staber PB, Superti-Furga G. Metabolic drug survey highlights cancer cell dependencies and vulnerabilities. Nat Commun 2021; 12:7190. [PMID: 34907165 PMCID: PMC8671470 DOI: 10.1038/s41467-021-27329-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 11/16/2021] [Indexed: 12/15/2022] Open
Abstract
Interrogation of cellular metabolism with high-throughput screening approaches can unravel contextual biology and identify cancer-specific metabolic vulnerabilities. To systematically study the consequences of distinct metabolic perturbations, we assemble a comprehensive metabolic drug library (CeMM Library of Metabolic Drugs; CLIMET) covering 243 compounds. We, next, characterize it phenotypically in a diverse panel of myeloid leukemia cell lines and primary patient cells. Analysis of the drug response profiles reveals that 77 drugs affect cell viability, with the top effective compounds targeting nucleic acid synthesis, oxidative stress, and the PI3K/mTOR pathway. Clustering of individual drug response profiles stratifies the cell lines into five functional groups, which link to specific molecular and metabolic features. Mechanistic characterization of selective responses to the PI3K inhibitor pictilisib, the fatty acid synthase inhibitor GSK2194069, and the SLC16A1 inhibitor AZD3965, bring forth biomarkers of drug response. Phenotypic screening using CLIMET represents a valuable tool to probe cellular metabolism and identify metabolic dependencies at large.
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Affiliation(s)
- Tea Pemovska
- CeMM-Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
- Department of Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Vienna, Austria
| | - Johannes W Bigenzahn
- CeMM-Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Ismet Srndic
- CeMM-Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Alexander Lercher
- CeMM-Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA
| | - Andreas Bergthaler
- CeMM-Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Adrián César-Razquin
- CeMM-Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Felix Kartnig
- CeMM-Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Christoph Kornauth
- Department of Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Vienna, Austria
- Comprehensive Cancer Center Vienna, Vienna General Hospital, Medical University of Vienna, Vienna, Austria
| | - Peter Valent
- Department of Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute for Hematology and Oncology, Medical University of Vienna, Vienna, Austria
| | - Philipp B Staber
- Department of Medicine I, Division of Hematology & Hemostaseology, Medical University of Vienna, Vienna, Austria
- Comprehensive Cancer Center Vienna, Vienna General Hospital, Medical University of Vienna, Vienna, Austria
| | - Giulio Superti-Furga
- CeMM-Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
- Center for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria.
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41
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Foster B, Attwood M, Gibbs-Seymour I. Tools for Decoding Ubiquitin Signaling in DNA Repair. Front Cell Dev Biol 2021; 9:760226. [PMID: 34950659 PMCID: PMC8690248 DOI: 10.3389/fcell.2021.760226] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/09/2021] [Indexed: 12/21/2022] Open
Abstract
The maintenance of genome stability requires dedicated DNA repair processes and pathways that are essential for the faithful duplication and propagation of chromosomes. These DNA repair mechanisms counteract the potentially deleterious impact of the frequent genotoxic challenges faced by cells from both exogenous and endogenous agents. Intrinsic to these mechanisms, cells have an arsenal of protein factors that can be utilised to promote repair processes in response to DNA lesions. Orchestration of the protein factors within the various cellular DNA repair pathways is performed, in part, by post-translational modifications, such as phosphorylation, ubiquitin, SUMO and other ubiquitin-like modifiers (UBLs). In this review, we firstly explore recent advances in the tools for identifying factors involved in both DNA repair and ubiquitin signaling pathways. We then expand on this by evaluating the growing repertoire of proteomic, biochemical and structural techniques available to further understand the mechanistic basis by which these complex modifications regulate DNA repair. Together, we provide a snapshot of the range of methods now available to investigate and decode how ubiquitin signaling can promote DNA repair and maintain genome stability in mammalian cells.
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Affiliation(s)
| | | | - Ian Gibbs-Seymour
- Department of Biochemistry, University of Oxford, Oxford, United Kingdom
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42
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The power and the promise of CRISPR/Cas9 genome editing for clinical application with gene therapy. J Adv Res 2021; 40:135-152. [PMID: 36100322 PMCID: PMC9481961 DOI: 10.1016/j.jare.2021.11.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 11/22/2021] [Accepted: 11/30/2021] [Indexed: 02/07/2023] Open
Abstract
Due to its high accuracy and efficiency, CRISPR/Cas9 techniques may provide a great chance to treat some gene-related diseases. Researchers used the CRISPR/Cas9 technique to cure or alleviate cancers through different approaches, such as gene therapy and immune therapy. The treatment of ocular diseases by Cas9 has entered into clinical phases.
Background Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) is derived from the bacterial innate immune system and engineered as a robust gene-editing tool. Due to the higher specificity and efficiency of CRISPR/Cas9, it has been widely applied to many genetic and non-genetic disease, including cancers, genetic hemolytic diseases, acquired immunodeficiency syndrome, cardiovascular diseases, ocular diseases, and neurodegenerative diseases, and some X-linked diseases. Furthermore, in terms of the therapeutic strategy of cancers, many researchers used the CRISPR/Cas9 technique to cure or alleviate cancers through different approaches, such as gene therapy and immune therapy. Aim of Review Here, we conclude the recent application and clinical trials of CRISPR/Cas9 in non-cancerous diseases and cancers and pointed out some of the problems to be solved. Key Scientific Concepts of Review CRISPR/Cas9, derived from the microbial innate immune system, is developed as a robust gene-editing tool and has been applied widely. Due to its high accuracy and efficiency, CRISPR/Cas9 techniques may provide a great chance to treat some gene-related diseases by disrupting, inserting, correcting, replacing, or blocking genes for clinical application with gene therapy.
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43
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Bailey ML, Tieu D, Habsid A, Tong AHY, Chan K, Moffat J, Hieter P. Paralogous synthetic lethality underlies genetic dependencies of the cancer-mutated gene STAG2. Life Sci Alliance 2021; 4:e202101083. [PMID: 34462321 PMCID: PMC8408347 DOI: 10.26508/lsa.202101083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 08/14/2021] [Accepted: 08/16/2021] [Indexed: 12/14/2022] Open
Abstract
STAG2, a component of the mitotically essential cohesin complex, is highly mutated in several different tumour types, including glioblastoma and bladder cancer. Whereas cohesin has roles in many cancer-related pathways, such as chromosome instability, DNA repair and gene expression, the complex nature of cohesin function has made it difficult to determine how STAG2 loss might either promote tumorigenesis or be leveraged therapeutically across divergent cancer types. Here, we have performed whole-genome CRISPR-Cas9 screens for STAG2-dependent genetic interactions in three distinct cellular backgrounds. Surprisingly, STAG1, the paralog of STAG2, was the only negative genetic interaction that was shared across all three backgrounds. We also uncovered a paralogous synthetic lethal mechanism behind a genetic interaction between STAG2 and the iron regulatory gene IREB2 Finally, investigation of an unusually strong context-dependent genetic interaction in HAP1 cells revealed factors that could be important for alleviating cohesin loading stress. Together, our results reveal new facets of STAG2 and cohesin function across a variety of genetic contexts.
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Affiliation(s)
- Melanie L Bailey
- Michael Smith Laboratories, University of British Columbia, Vancouver, Canada
| | - David Tieu
- Donnelly Centre, University of Toronto, Toronto, Canada
| | - Andrea Habsid
- Donnelly Centre, University of Toronto, Toronto, Canada
| | | | | | - Jason Moffat
- Donnelly Centre, University of Toronto, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
| | - Philip Hieter
- Michael Smith Laboratories, University of British Columbia, Vancouver, Canada
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44
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Application of CHyMErA Cas9-Cas12a combinatorial genome-editing platform for genetic interaction mapping and gene fragment deletion screening. Nat Protoc 2021; 16:4722-4765. [PMID: 34508260 DOI: 10.1038/s41596-021-00595-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 06/17/2021] [Indexed: 02/08/2023]
Abstract
CRISPR-based forward genetic screening represents a powerful approach for the systematic characterization of gene function. Recent efforts have been directed toward establishing CRISPR-based tools for the programmable delivery of combinatorial genetic perturbations, most of which are mediated by a single nuclease and the expression of structurally identical guide backbones from two promoters. In contrast, we have developed CHyMErA (Cas hybrid for multiplexed editing and screening applications), which is based on the co-expression of Cas9 and Cas12a nucleases in conjunction with a hybrid guide RNA (hgRNA) engineered by the fusion of Cas9 and Cas12a guides and expressed from a single U6 promoter. CHyMErA is suitable for the high-throughput deletion of genetic segments including the excision of individual exons. Furthermore, CHyMErA enables the concomitant targeting of two or more genes and can thus be used for the systematic mapping of genetic interactions in mammalian cells. CHyMErA can also be applied for the perturbation of paralogous gene pairs, thereby allowing the capturing of phenotypic roles that would otherwise be masked because of genetic redundancy. Here, we provide instructions for the cloning of hgRNA screening libraries and individual hgRNA constructs and offer guidelines for designing and performing combinatorial pooled genetic screens using CHyMErA. Starting with the generation of Cas9- and Cas12a-expressing cell lines, CHyMErA screening can be implemented within 15-20 weeks.
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45
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Ward HN, Aregger M, Gonatopoulos-Pournatzis T, Billmann M, Ohsumi TK, Brown KR, Blencowe BJ, Moffat J, Myers CL. Analysis of combinatorial CRISPR screens with the Orthrus scoring pipeline. Nat Protoc 2021; 16:4766-4798. [PMID: 34508259 PMCID: PMC9084619 DOI: 10.1038/s41596-021-00596-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 06/03/2021] [Indexed: 02/08/2023]
Abstract
The continued improvement of combinatorial CRISPR screening platforms necessitates the development of new computational pipelines for scoring combinatorial screening data. Unlike for single-guide RNA (sgRNA) pooled screening platforms, combinatorial scoring for multiplexed systems is confounded by guide design parameters such as the number of gRNAs per construct, the position of gRNAs along constructs, and additional features that may impact gRNA expression, processing or capture. In this protocol we describe Orthrus, an R package for processing, scoring and analyzing combinatorial CRISPR screening data that addresses these challenges. This protocol walks through the application of Orthrus to previously published combinatorial screening data from the CHyMErA experimental system, a platform we recently developed that pairs Cas9 with Cas12a gRNAs and enables programmed targeting of multiple genomic sites. We demonstrate Orthrus' features for screen quality assessment and two distinct scoring modes for dual guide RNAs (dgRNAs) that target the same gene twice or dgRNAs that target two different genes. Running Orthrus requires basic R programming experience, ~5-10 min of computational time and 15-60 min total.
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Affiliation(s)
- Henry N Ward
- Bioinformatics and Computational Biology Graduate Program, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | - Michael Aregger
- Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
- RNA Biology Laboratory, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Thomas Gonatopoulos-Pournatzis
- Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
- RNA Biology Laboratory, National Cancer Institute, National Institutes of Health, Frederick, MD, USA
| | - Maximilian Billmann
- Department of Computer Science and Engineering, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | | | - Kevin R Brown
- Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Benjamin J Blencowe
- Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Jason Moffat
- Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Institute for Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Chad L Myers
- Bioinformatics and Computational Biology Graduate Program, University of Minnesota-Twin Cities, Minneapolis, MN, USA.
- Department of Computer Science and Engineering, University of Minnesota-Twin Cities, Minneapolis, MN, USA.
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46
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van Essen M, Riepsaame J, Jacob J. CRISPR-Cas Gene Perturbation and Editing in Human Induced Pluripotent Stem Cells. CRISPR J 2021; 4:634-655. [PMID: 34582693 DOI: 10.1089/crispr.2021.0063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Directing the fates of human pluripotent stem cells (hPSC) to generate a multitude of differentiated cell types allows the study of the genetic regulation of human development and disease. The translational potential of hPSC is maximized by exploiting CRISPR to silence or activate genes with spatial and temporal precision permanently or reversibly. Here, we summarize the increasingly refined and diverse CRISPR toolkit for the latter forms of gene perturbation in hPSC and their downstream applications. We discuss newer methods to install edits efficiently with single nucleotide resolution and describe pooled CRISPR screens as a powerful means of unbiased discovery of genes associated with a phenotype of interest. Last, we discuss the potential of these combined technologies in the treatment of hitherto intractable human diseases and the challenges to their implementation in the clinic.
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Affiliation(s)
- Max van Essen
- Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom; and University of Oxford, Oxford, United Kingdom
| | - Joey Riepsaame
- Sir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom
| | - John Jacob
- Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom; and University of Oxford, Oxford, United Kingdom
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47
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Abstract
The past 25 years of genomics research first revealed which genes are encoded by the human genome and then a detailed catalogue of human genome variation associated with many diseases. Despite this, the function of many genes and gene regulatory elements remains poorly characterized, which limits our ability to apply these insights to human disease. The advent of new CRISPR functional genomics tools allows for scalable and multiplexable characterization of genes and gene regulatory elements encoded by the human genome. These approaches promise to reveal mechanisms of gene function and regulation, and to enable exploration of how genes work together to modulate complex phenotypes.
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48
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Guo H, Liu L, Nishiga M, Cong L, Wu JC. Deciphering pathogenicity of variants of uncertain significance with CRISPR-edited iPSCs. Trends Genet 2021; 37:1109-1123. [PMID: 34509299 DOI: 10.1016/j.tig.2021.08.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 08/10/2021] [Accepted: 08/13/2021] [Indexed: 10/20/2022]
Abstract
Genetic variants play an important role in conferring risk for cardiovascular diseases (CVDs). With the rapid development of next-generation sequencing (NGS), thousands of genetic variants associated with CVDs have been identified by genome-wide association studies (GWAS), but the function of more than 40% of genetic variants is still unknown. This gap of knowledge is a barrier to the clinical application of the genetic information. However, determining the pathogenicity of a variant of uncertain significance (VUS) is challenging due to the lack of suitable model systems and accessible technologies. By combining clustered regularly interspaced short palindromic repeats (CRISPR) and human induced pluripotent stem cells (iPSCs), unprecedented advances are now possible in determining the pathogenicity of VUS in CVDs. Here, we summarize recent progress and new strategies in deciphering pathogenic variants for CVDs using CRISPR-edited human iPSCs.
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Affiliation(s)
- Hongchao Guo
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lichao Liu
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Masataka Nishiga
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Le Cong
- Department of Pathology and Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Joseph C Wu
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
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49
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Comprehensive prediction of robust synthetic lethality between paralog pairs in cancer cell lines. Cell Syst 2021; 12:1144-1159.e6. [PMID: 34529928 DOI: 10.1016/j.cels.2021.08.006] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 07/08/2021] [Accepted: 08/18/2021] [Indexed: 12/15/2022]
Abstract
Pairs of paralogs may share common functionality and, hence, display synthetic lethal interactions. As the majority of human genes have an identifiable paralog, exploiting synthetic lethality between paralogs may be a broadly applicable approach for targeting gene loss in cancer. However, only a biased subset of human paralog pairs has been tested for synthetic lethality to date. Here, by analyzing genome-wide CRISPR screens and molecular profiles of over 700 cancer cell lines, we identify features predictive of synthetic lethality between paralogs, including shared protein-protein interactions and evolutionary conservation. We develop a machine-learning classifier based on these features to predict which paralog pairs are most likely to be synthetic lethal and to explain why. We show that our classifier accurately predicts the results of combinatorial CRISPR screens in cancer cell lines and furthermore can distinguish pairs that are synthetic lethal in multiple cell lines from those that are cell-line specific. A record of this paper's transparent peer review process is included in the supplemental information.
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Xia X, Cheng X, Li R, Yao J, Li Z, Cheng Y. Advances in application of genome editing in tomato and recent development of genome editing technology. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:2727-2747. [PMID: 34076729 PMCID: PMC8170064 DOI: 10.1007/s00122-021-03874-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/25/2021] [Indexed: 05/07/2023]
Abstract
Genome editing, a revolutionary technology in molecular biology and represented by the CRISPR/Cas9 system, has become widely used in plants for characterizing gene function and crop improvement. Tomato, serving as an excellent model plant for fruit biology research and making a substantial nutritional contribution to the human diet, is one of the most important applied plants for genome editing. Using CRISPR/Cas9-mediated targeted mutagenesis, the re-evaluation of tomato genes essential for fruit ripening highlights that several aspects of fruit ripening should be reconsidered. Genome editing has also been applied in tomato breeding for improving fruit yield and quality, increasing stress resistance, accelerating the domestication of wild tomato, and recently customizing tomato cultivars for urban agriculture. In addition, genome editing is continuously innovating, and several new genome editing systems such as the recent prime editing, a breakthrough in precise genome editing, have recently been applied in plants. In this review, these advances in application of genome editing in tomato and recent development of genome editing technology are summarized, and their leaving important enlightenment to plant research and precision plant breeding is also discussed.
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Affiliation(s)
- Xuehan Xia
- Key Laboratory of Plant Hormones and Development Regulation of Chongqing, School of Life Sciences, Chongqing University, Chongqing, 401331, China
- Center of Plant Functional Genomics, Institute of Advanced Interdisciplinary Studies, Chongqing University, Chongqing, 401331, China
| | - Xinhua Cheng
- Key Laboratory of Plant Hormones and Development Regulation of Chongqing, School of Life Sciences, Chongqing University, Chongqing, 401331, China
- Center of Plant Functional Genomics, Institute of Advanced Interdisciplinary Studies, Chongqing University, Chongqing, 401331, China
| | - Rui Li
- Key Laboratory of Plant Hormones and Development Regulation of Chongqing, School of Life Sciences, Chongqing University, Chongqing, 401331, China
- Center of Plant Functional Genomics, Institute of Advanced Interdisciplinary Studies, Chongqing University, Chongqing, 401331, China
| | - Juanni Yao
- Key Laboratory of Plant Hormones and Development Regulation of Chongqing, School of Life Sciences, Chongqing University, Chongqing, 401331, China
| | - Zhengguo Li
- Key Laboratory of Plant Hormones and Development Regulation of Chongqing, School of Life Sciences, Chongqing University, Chongqing, 401331, China
- Center of Plant Functional Genomics, Institute of Advanced Interdisciplinary Studies, Chongqing University, Chongqing, 401331, China
| | - Yulin Cheng
- Key Laboratory of Plant Hormones and Development Regulation of Chongqing, School of Life Sciences, Chongqing University, Chongqing, 401331, China.
- Center of Plant Functional Genomics, Institute of Advanced Interdisciplinary Studies, Chongqing University, Chongqing, 401331, China.
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