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Jiang Z, Ju Y, Ali A, Chung PED, Skowron P, Wang DY, Shrestha M, Li H, Liu JC, Vorobieva I, Ghanbari-Azarnier R, Mwewa E, Koritzinsky M, Ben-David Y, Woodgett JR, Perou CM, Dupuy A, Bader GD, Egan SE, Taylor MD, Zacksenhaus E. Distinct shared and compartment-enriched oncogenic networks drive primary versus metastatic breast cancer. Nat Commun 2023; 14:4313. [PMID: 37463901 PMCID: PMC10354065 DOI: 10.1038/s41467-023-39935-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 06/16/2023] [Indexed: 07/20/2023] Open
Abstract
Metastatic breast-cancer is a major cause of death in women worldwide, yet the relationship between oncogenic drivers that promote metastatic versus primary cancer is still contentious. To elucidate this relationship in treatment-naive animals, we hereby describe mammary-specific transposon-mutagenesis screens in female mice together with loss-of-function Rb, which is frequently inactivated in breast-cancer. We report gene-centric common insertion-sites (gCIS) that are enriched in primary-tumors, in metastases or shared by both compartments. Shared-gCIS comprise a major MET-RAS network, whereas metastasis-gCIS form three additional hubs: Rho-signaling, Ubiquitination and RNA-processing. Pathway analysis of four clinical cohorts with paired primary-tumors and metastases reveals similar organization in human breast-cancer with subtype-specific shared-drivers (e.g. RB1-loss, TP53-loss, high MET, RAS, ER), primary-enriched (EGFR, TGFβ and STAT3) and metastasis-enriched (RHO, PI3K) oncogenic signaling. Inhibitors of RB1-deficiency or MET plus RHO-signaling cooperate to block cell migration and drive tumor cell-death. Thus, targeting shared- and metastasis- but not primary-enriched derivers offers a rational avenue to prevent metastatic breast-cancer.
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Affiliation(s)
- Zhe Jiang
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada
| | - YoungJun Ju
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada
| | - Amjad Ali
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada
| | - Philip E D Chung
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada
- Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Patryk Skowron
- Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada
- Program in Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Dong-Yu Wang
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada
| | - Mariusz Shrestha
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada
- Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Huiqin Li
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada
| | - Jeff C Liu
- The Donnelly Centre, University of Toronto, Toronto, ON, Canada
| | - Ioulia Vorobieva
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada
- Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Ronak Ghanbari-Azarnier
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada
- Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Ethel Mwewa
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada
| | | | - Yaacov Ben-David
- The Key laboratory of Chemistry for Natural Products of Guizhou Province and Chinese Academic of Sciences, Guiyang, Guizhou, 550014, China
- State Key Laboratory for Functions and Applications of Medicinal Plants, Guizhou Medical University, Guiyang, 550025, China
| | - James R Woodgett
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, 600 University Avenue, Toronto, ON, Canada
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, Departments of Genetics and Pathology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Adam Dupuy
- Department of Pathology, Carver College of Medicine, The University of Iowa, Iowa City, Iowa, 52242, USA
| | - Gary D Bader
- The Donnelly Centre, University of Toronto, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Sean E Egan
- Program in Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Michael D Taylor
- Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada
- Program in Developmental & Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
| | - Eldad Zacksenhaus
- Toronto General Research Institute - University Health Network, 101 College Street, Max Bell Research Centre, suite 5R406, Toronto, ON, M5G 1L7, Canada.
- Laboratory Medicine & Pathobiology, University of Toronto, Toronto, ON, Canada.
- Department of Medicine, University of Toronto, Toronto, ON, Canada.
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Zhang A, Wang L, Lei JH, Miao Z, Valecha MV, Hu P, Miao K, Deng CX. SB Digestor: a tailored driver gene identification tool for dissecting heterogeneous Sleeping Beauty transposon-induced tumors. Int J Biol Sci 2023; 19:1764-1777. [PMID: 37063417 PMCID: PMC10092771 DOI: 10.7150/ijbs.81317] [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: 11/28/2022] [Accepted: 02/04/2023] [Indexed: 04/18/2023] Open
Abstract
Sleeping Beauty (SB) insertional mutagenesis has been widely used for genome-wide functional screening in mouse models of human cancers, however, intertumor heterogeneity can be a major obstacle in identifying common insertion sites (CISs). Although previous algorithms have been successful in defining some CISs, they also miss CISs in certain situations. A major common characteristic of these previous methods is that they do not take tumor heterogeneity into account. However, intertumoral heterogeneity directly influences the sequence read number for different tumor samples and then affects CIS identification. To precisely detect and define cancer driver genes, we developed SB Digestor, a computational algorithm that overcomes biological heterogeneity to identify more potential driver genes. Specifically, we define the relationship between the sequenced read number and putative gene number to deduce the depth cutoff for each tumor, which can reduce tumor complexity and precisely reflect intertumoral heterogeneity. Using this new tool, we re-analyzed our previously published SB-based screening dataset and identified many additional potent drivers involved in Brca1-related tumorigenesis, including Arhgap42, Tcf12, and Fgfr2. SB Digestor not only greatly enhances our ability to identify and prioritize cancer drivers from SB tumors but also substantially deepens our understanding of the intrinsic genetic basis of cancer.
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Affiliation(s)
- Aiping Zhang
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China
- Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Lijian Wang
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China
- Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Josh Haipeng Lei
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China
- Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Zhengqiang Miao
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China
- Genomics & Bioinformatics Core, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Monica Vishnu Valecha
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China
- Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Peng Hu
- College of Fisheries and Life Science, Shanghai Ocean University, Shanghai, China
| | - Kai Miao
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China
- Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
- MoE Frontiers Science Center for Precision Oncology, University of Macau, Macau SAR, China
- ✉ Corresponding authors: Kai Miao; ; Faculty of Health Sciences, University of Macau, Macau SAR, China. Tel: (853) 8822-2903; Fax: (853) 8822 2314. Chu-Xia Deng; ; Faculty of Health Sciences, University of Macau, Macau SAR, China. Tel: (853) 8822-4997; Fax: (853) 8822 2314
| | - Chu-Xia Deng
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau SAR, China
- Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
- MoE Frontiers Science Center for Precision Oncology, University of Macau, Macau SAR, China
- ✉ Corresponding authors: Kai Miao; ; Faculty of Health Sciences, University of Macau, Macau SAR, China. Tel: (853) 8822-2903; Fax: (853) 8822 2314. Chu-Xia Deng; ; Faculty of Health Sciences, University of Macau, Macau SAR, China. Tel: (853) 8822-4997; Fax: (853) 8822 2314
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Forward Genetic Screens as Tools to Investigate Role and Mechanisms of EMT in Cancer. Cancers (Basel) 2022; 14:cancers14235928. [PMID: 36497409 PMCID: PMC9735433 DOI: 10.3390/cancers14235928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/17/2022] [Accepted: 11/29/2022] [Indexed: 12/02/2022] Open
Abstract
Epithelial-mesenchymal transition (EMT) is a process of cellular plasticity regulated by complex signaling networks. Under physiological conditions, it plays an important role in wound healing and organ repair. Its importance for human disease is given by its central role in chronic fibroproliferative diseases and cancer, which represent leading causes of death worldwide. In tumors, EMT is involved in primary tumor growth, metastasis and therapy resistance. It is therefore a major requisite to investigate and understand the role of EMT and the mechanisms leading to EMT in order to tackle these diseases therapeutically. Forward genetic screens link genome modifications to phenotypes, and have been successfully employed to identify oncogenes, tumor suppressor genes and genes involved in metastasis or therapy resistance. In particular, transposon-based insertional mutagenesis screens and CRISPR-based screens are versatile and easy-to-use tools applied in recent years to discover and identify novel cancer-related mechanisms. Here, we review the contribution of forward genetic screens to our understanding of how EMT is regulated and how it is involved in various aspects of cancer. Based on the current literature, we propose these methods as additional tools to investigate EMT.
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Schachter NF, Adams JR, Skowron P, Kozma KJ, Lee CA, Raghuram N, Yang J, Loch AJ, Wang W, Kucharczuk A, Wright KL, Quintana RM, An Y, Dotzko D, Gorman JL, Wojtal D, Shah JS, Leon-Gomez P, Pellecchia G, Dupuy AJ, Perou CM, Ben-Porath I, Karni R, Zacksenhaus E, Woodgett JR, Done SJ, Garzia L, Sorana Morrissy A, Reimand J, Taylor MD, Egan SE. Single allele loss-of-function mutations select and sculpt conditional cooperative networks in breast cancer. Nat Commun 2021; 12:5238. [PMID: 34475389 PMCID: PMC8413298 DOI: 10.1038/s41467-021-25467-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 08/05/2021] [Indexed: 12/24/2022] Open
Abstract
The most common events in breast cancer (BC) involve chromosome arm losses and gains. Here we describe identification of 1089 gene-centric common insertion sites (gCIS) from transposon-based screens in 8 mouse models of BC. Some gCIS are driver-specific, others driver non-specific, and still others associated with tumor histology. Processes affected by driver-specific and histology-specific mutations include well-known cancer pathways. Driver non-specific gCIS target the Mediator complex, Ca++ signaling, Cyclin D turnover, RNA-metabolism among other processes. Most gCIS show single allele disruption and many map to genomic regions showing high-frequency hemizygous loss in human BC. Two gCIS, Nf1 and Trps1, show synthetic haploinsufficient tumor suppressor activity. Many gCIS act on the same pathway responsible for tumor initiation, thereby selecting and sculpting just enough and just right signaling. These data highlight ~1000 genes with predicted conditional haploinsufficient tumor suppressor function and the potential to promote chromosome arm loss in BC.
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Affiliation(s)
- Nathan F Schachter
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Jessica R Adams
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Patryk Skowron
- Program in Developmental & Stem Cell Biology, The Hospital for Sick Children, Toronto, ON, Canada
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Katelyn J Kozma
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Christian A Lee
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Nandini Raghuram
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Joanna Yang
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Amanda J Loch
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
| | - Wei Wang
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
| | - Aaron Kucharczuk
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Katherine L Wright
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Rita M Quintana
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
- Natera, San Francisco, CA, USA
| | - Yeji An
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Daniel Dotzko
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
| | - Jennifer L Gorman
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Daria Wojtal
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Juhi S Shah
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
| | - Paul Leon-Gomez
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
| | - Giovanna Pellecchia
- The Center for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Adam J Dupuy
- Department of Pathology, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, Departments of Genetics and Pathology, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Ittai Ben-Porath
- Department of Developmental Biology and Cancer Research, Institute for Medical Research-Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Rotem Karni
- Department of Biochemistry and Molecular Biology, Institute for Medical Research Israel Canada (IMRIC), Hebrew University-Hadassah Medical School, Jerusalem, Israel
| | - Eldad Zacksenhaus
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Division of Cell and Molecular Biology, Toronto General Research Institute, University Health Network, and Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jim R Woodgett
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Susan J Done
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- The Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
- The Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| | - Livia Garzia
- Program in Developmental & Stem Cell Biology, The Hospital for Sick Children, Toronto, ON, Canada
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Cancer Research Program, McGill University, Montreal, QC, Canada
| | - A Sorana Morrissy
- Program in Developmental & Stem Cell Biology, The Hospital for Sick Children, Toronto, ON, Canada
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Biochemistry and Molecular Biology, University of Calgary and Arnie Charbonneau Cancer Institute, Calgary, AB, Canada
| | - Jüri Reimand
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Michael D Taylor
- Program in Developmental & Stem Cell Biology, The Hospital for Sick Children, Toronto, ON, Canada
- The Arthur and Sonia Labatt Brain Tumour Research Centre, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Sean E Egan
- Program in Cell Biology, The Peter Gilgan Center for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada.
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
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Silencing of Histone Deacetylase 6 Decreases Cellular Malignancy and Contributes to Primary Cilium Restoration, Epithelial-to-Mesenchymal Transition Reversion, and Autophagy Inhibition in Glioblastoma Cell Lines. BIOLOGY 2021; 10:biology10060467. [PMID: 34073238 PMCID: PMC8228543 DOI: 10.3390/biology10060467] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 05/20/2021] [Accepted: 05/23/2021] [Indexed: 12/25/2022]
Abstract
Simple Summary Glioblastoma multiforme (GBM) is the most common as well as the most aggressive malignant brain tumor, with an overall survival of almost 15 months. Histone deacetylase 6 (HDAC6), an enzyme related to the deacetylation of α-tubulin, is overexpressed in GBM. The aim of our research was to study the effects of HDAC6 silencing in GBM cells. We first confirmed the overexpression of HDAC6 in GBM tissue (n = 40) against control brain (n = 10). Treatment with siHDAC6 diminished viability, clonogenic potential, and migration ability in GBM-derived cell lines. HDAC6 inhibition also reverted the mesenchymal phenotype, inhibited the Sonic Hedgehog pathway, restored primary cilium structure, and decreased autophagy. Thus, we confirm that HDAC6 is a good therapeutic target for GBM treatment. Abstract Glioblastoma multiforme, the most common type of malignant brain tumor as well as the most aggressive one, lacks an effective therapy. Glioblastoma presents overexpression of mesenchymal markers Snail, Slug, and N-Cadherin and of the autophagic marker p62. Glioblastoma cell lines also present increased autophagy, overexpression of mesenchymal markers, Shh pathway activation, and lack of primary cilia. In this study, we aimed to evaluate the role of HDAC6 in the pathogenesis of glioblastoma, as HDAC6 is the most overexpressed of all HDACs isoforms in this tumor. We treated glioblastoma cell lines with siHDAC6. HDAC6 silencing inhibited proliferation, migration, and clonogenicity of glioblastoma cell lines. They also reversed the mesenchymal phenotype, decreased autophagy, inhibited Shh pathway, and recovered the expression of primary cilia in glioblastoma cell lines. These results demonstrate that HDAC6 might be a good target for glioblastoma treatment.
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Carrelha J, Lin DS, Rodriguez-Fraticelli AE, Luis TC, Wilkinson AC, Cabezas-Wallscheid N, Tremblay CS, Haas S. Single-cell lineage tracing approaches in hematology research: technical considerations. Exp Hematol 2020; 89:26-36. [PMID: 32735908 PMCID: PMC7894992 DOI: 10.1016/j.exphem.2020.07.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/21/2020] [Accepted: 07/24/2020] [Indexed: 01/27/2023]
Abstract
The coordinated differentiation of hematopoietic stem and progenitor cells (HSPCs) into the various mature blood cell types is responsible for sustaining blood and immune system homeostasis. The cell fate decisions underlying this important biological process are made at the level of single cells. Methods to trace the fate of single cells are therefore essential for understanding hematopoietic system activity in health and disease and have had a major impact on how we understand and represent hematopoiesis. Here, we discuss the basic methodologies and technical considerations for three important clonal assays: single-cell transplantation, lentiviral barcoding, and Sleeping Beauty barcoding. This perspective is a synthesis of presentations and discussions from the 2019 International Society for Experimental Hematology (ISEH) Annual Meeting New Investigator Technology Session and the 2019 ISEH Winter Webinar.
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Affiliation(s)
- Joana Carrelha
- Haematopoietic Stem Cell Laboratory, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK; MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Dawn S Lin
- Immunology, The Walter & Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Faculty of Medicine, Dentistry & Health Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Alejo E Rodriguez-Fraticelli
- Stem Cell Program, Boston Children's Hospital, Boston, Massachusetts, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA
| | - Tiago C Luis
- Department of Life Sciences, Imperial College London, London, UK
| | - Adam C Wilkinson
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Cedric S Tremblay
- Australian Centre for Blood Diseases, Central Clinical School, Monash University, Melbourne, Australia
| | - Simon Haas
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany; Division of Stem Cells and Cancer, Deutsches Krebsforschungszentrum (DKFZ) and DKFZ-ZMBH Alliance, Heidelberg, Germany.
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7
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Noorani I, Bradley A, de la Rosa J. CRISPR and transposon in vivo screens for cancer drivers and therapeutic targets. Genome Biol 2020; 21:204. [PMID: 32811551 PMCID: PMC7437018 DOI: 10.1186/s13059-020-02118-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 07/23/2020] [Indexed: 02/07/2023] Open
Abstract
Human cancers harbor substantial genetic, epigenetic, and transcriptional changes, only some of which drive oncogenesis at certain times during cancer evolution. Identifying the cancer-driver alterations amongst the vast swathes of "passenger" changes still remains a major challenge. Transposon and CRISPR screens in vivo provide complementary methods for achieving this, and each platform has its own advantages. Here, we review recent major technological breakthroughs made with these two approaches and highlight future directions. We discuss how each genetic screening platform can provide unique insight into cancer evolution, including intra-tumoral heterogeneity, metastasis, and immune evasion, presenting transformative opportunities for targeted therapeutic intervention.
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Affiliation(s)
- Imran Noorani
- Department of Medicine, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
- Department of Neurosurgery, University of Cambridge, Cambridge, CB2 0QQ, UK.
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK.
| | - Allan Bradley
- Department of Medicine, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Jorge de la Rosa
- Department of Medicine, University of Cambridge School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
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8
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MRTFB suppresses colorectal cancer development through regulating SPDL1 and MCAM. Proc Natl Acad Sci U S A 2019; 116:23625-23635. [PMID: 31690663 DOI: 10.1073/pnas.1910413116] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Myocardin-related transcription factor B (MRTFB) is a candidate tumor-suppressor gene identified in transposon mutagenesis screens of the intestine, liver, and pancreas. Using a combination of cell-based assays, in vivo tumor xenograft assays, and Mrtfb knockout mice, we demonstrate here that MRTFB is a human and mouse colorectal cancer (CRC) tumor suppressor that functions in part by inhibiting cell invasion and migration. To identify possible MRTFB transcriptional targets, we performed whole transcriptome RNA sequencing in MRTFB siRNA knockdown primary human colon cells and identified 15 differentially expressed genes. Among the top candidate tumor-suppressor targets were melanoma cell adhesion molecule (MCAM), a known tumor suppressor, and spindle apparatus coiled-coil protein 1 (SPDL1), which has no confirmed role in cancer. To determine whether these genes play a role in CRC, we knocked down the expression of MCAM and SPDL1 in human CRC cells and showed significantly increased invasion and migration of tumor cells. We also showed that Spdl1 expression is significantly down-regulated in Mrtfb knockout mouse intestine, while lower SPDL1 expression levels are significantly associated with reduced survival in CRC patients. Finally, we show that depletion of MCAM and SPDL1 in human CRC cells significantly increases tumor development in xenograft assays, further confirming their tumor-suppressive roles in CRC. Collectively, our findings demonstrate the tumor-suppressive role of MRTFB in CRC and identify several genes, including 2 tumor suppressors, that act downstream of MRTFB to regulate tumor growth and survival in CRC patients.
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9
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Ziyad S, Riordan JD, Cavanaugh AM, Su T, Hernandez GE, Hilfenhaus G, Morselli M, Huynh K, Wang K, Chen JN, Dupuy AJ, Iruela-Arispe ML. A Forward Genetic Screen Targeting the Endothelium Reveals a Regulatory Role for the Lipid Kinase Pi4ka in Myelo- and Erythropoiesis. Cell Rep 2019; 22:1211-1224. [PMID: 29386109 PMCID: PMC5828030 DOI: 10.1016/j.celrep.2018.01.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 11/05/2017] [Accepted: 01/05/2018] [Indexed: 11/19/2022] Open
Abstract
Given its role as the source of definitive hematopoietic cells, we sought to determine whether mutations initiated in the hemogenic endothelium would yield hematopoietic abnormalities or malignancies. Here, we find that endothelium-specific transposon mutagenesis in mice promotes hematopoietic pathologies that are both myeloid and lymphoid in nature. Frequently mutated genes included previously recognized cancer drivers and additional candidates, such as Pi4ka, a lipid kinase whose mutation was found to promote myeloid and erythroid dysfunction. Subsequent validation experiments showed that targeted inactivation of the Pi4ka catalytic domain or reduction in mRNA expression inhibited myeloid and erythroid cell differentiation in vitro and promoted anemia in vivo through a mechanism involving deregulation of AKT, MAPK, SRC, and JAK-STAT signaling. Finally, we provide evidence linking PI4KAP2, previously considered a pseudogene, to human myeloid and erythroid leukemia.
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Affiliation(s)
- Safiyyah Ziyad
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Jesse D Riordan
- Department of Anatomy and Cell Biology, University of Iowa, Iowa City, IA 52242, USA
| | - Ann M Cavanaugh
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Trent Su
- Institute for Quantitative and Computational Biology and Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Gloria E Hernandez
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Georg Hilfenhaus
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Marco Morselli
- Institute for Quantitative and Computational Biology and Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA; Institute of Genomics and Proteomics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Kristine Huynh
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Kevin Wang
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Jau-Nian Chen
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Adam J Dupuy
- Department of Anatomy and Cell Biology, University of Iowa, Iowa City, IA 52242, USA
| | - M Luisa Iruela-Arispe
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA; Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90095, USA.
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10
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Insertional mutagenesis using the Sleeping Beauty transposon system identifies drivers of erythroleukemia in mice. Sci Rep 2019; 9:5488. [PMID: 30940846 PMCID: PMC6445099 DOI: 10.1038/s41598-019-41805-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 03/19/2019] [Indexed: 12/26/2022] Open
Abstract
Insertional mutagenesis is a powerful means of identifying cancer drivers in animal models. We used the Sleeping Beauty (SB) transposon/transposase system to identify activated oncogenes in hematologic cancers in wild-type mice and mice that express a stabilized cyclin E protein (termed cyclin ET74AT393A). Cyclin E governs cell division and is misregulated in human cancers. Cyclin ET74AT393A mice develop ineffective erythropoiesis that resembles early-stage human myelodysplastic syndrome, and we sought to identify oncogenes that might cooperate with cyclin E hyperactivity in leukemogenesis. SB activation in hematopoietic precursors caused T-cell leukemia/lymphomas (T-ALL) and pure red blood cell erythroleukemias (EL). Analysis of >12,000 SB integration sites revealed markedly different oncogene activations in EL and T-ALL: Notch1 and Ikaros were most common in T-ALL, whereas ETS transcription factors (Erg and Ets1) were targeted in most ELs. Cyclin E status did not impact leukemogenesis or oncogene activations. Whereas most SB insertions were lost during culture of EL cell lines, Erg insertions were retained, indicating Erg's key role in these neoplasms. Surprisingly, cyclin ET74AT393A conferred growth factor independence and altered Erg-dependent differentiation in EL cell lines. These studies provide new molecular insights into erythroid leukemia and suggest potential therapeutic targets for human leukemia.
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11
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Abstract
The next generation of therapies is moving beyond the use of small molecules and proteins to using whole cells. Compared with the interactions of small-molecule drugs with biomolecules, which can largely be understood through chemistry, cell therapies act in a chemical and physical world and can actively adapt to that world, amplifying complexity but also the potential for truly breakthrough impact. Although there has been success in introducing targeting proteins into cells to achieve a therapeutic effect, for example, chimeric antigen receptor (CAR) T cells, our ability to engineer cells is generally limited to introducing proteins, but not modulating large-scale traits or structures of cellular "machines," which play critical roles in disease. Example traits include the ability to secrete compounds, deform through tissue, adhere to surrounding cells, apply force to phagocytose targets, or move through extracellular matrix. There is an opportunity to increase the efficacy of cell therapies through the use of quantitative automation tools, to analyze, sort, and select rare cells with beneficial traits. Combined with methods of genetic or epigenetic mutagenesis to create diversity, such approaches can enable the directed cellular evolution of new therapeutically optimal populations of cells and uncover genetic underpinnings of these optimal traits.
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Affiliation(s)
- Dino Di Carlo
- 1 Department of Bioengineering and Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA, USA
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12
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Becklin KL, Smeester BA, Moriarity BS. Cancer Gene Discovery Utilizing Sleeping Beauty Transposon Mutagenesis. Methods Mol Biol 2019; 1907:161-170. [PMID: 30542999 DOI: 10.1007/978-1-4939-8967-6_13] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Transposable elements are DNA sequences with the ability to move from one genomic location to another. The movement of class II transposable elements has been functionally harnessed and separated into two distinct DNA transposon components: the terminal inverted repeat sequences that flank genetic cargo to be mobilized and a transposase enzyme capable of recognizing the terminal inverted repeat sequences and catalyzing the transposition reaction. In particular, the Sleeping Beauty (SB) system was the first successful demonstration of transposon-based gene transfer in vertebrate species. Over the years, several improvements have been made to SB technology and more recent studies have demonstrated the versatility of the system for many applications including insertional mutagenesis, gene transfer, and transgenesis. These genetic engineering advances made available by SB both augment and advance large-scale efforts that have been directed toward identifying how genes and environmental factors influence human health in recent years. In the age of personalized medicine, the versatility of SB provides numerous genetic engineering avenues for answering novel questions in basic and applied research. This chapter discusses the use of SB-based insertional mutagenesis in mice for the efficient identification of candidate cancer genes across numerous types of cancers.
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Affiliation(s)
- Kelsie L Becklin
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- College of Veterinary Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Branden A Smeester
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
- College of Veterinary Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Branden S Moriarity
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA.
- Center for Genome Engineering, University of Minnesota, Minneapolis, MN, USA.
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
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13
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Abstract
While sequencing and array-based studies are creating catalogues of genetic alterations in cancer, discriminating cancer drivers among the large sets of epigenetically, transcriptionally or posttranslationally dysregulated genes remains a challenge. Transposon-based genetic screening in mice has proven to be a powerful approach to address this challenge. Insertional mutagenesis directly flags biologically relevant genes and, combined with the transposon's unique molecular fingerprint, facilitates the recovery of insertion sites. We have generated transgenic mouse lines harboring different versions of PiggyBac-based oncogenic transposons, which in conjunction with PiggyBac transposase mice can be used for whole-body or tissue-specific insertional mutagenesis screens. We have also developed QiSeq, a method for (semi-)quantitative transposon insertion site sequencing, which overcomes biasing limitations of previous library preparation methods. QiSeq can be used in multiplexed high-throughput formats for candidate cancer gene discovery and gives insights into the clonal distribution of insertions for the study of genetic tumor evolution.
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14
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Guimaraes-Young A, Feddersen CR, Dupuy AJ. Sleeping Beauty Mouse Models of Cancer: Microenvironmental Influences on Cancer Genetics. Front Oncol 2019; 9:611. [PMID: 31338332 PMCID: PMC6629774 DOI: 10.3389/fonc.2019.00611] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 06/21/2019] [Indexed: 12/13/2022] Open
Abstract
The Sleeping Beauty (SB) transposon insertional mutagenesis system offers a streamlined approach to identify genetic drivers of cancer. With a relatively random insertion profile, SB is uniquely positioned for conducting unbiased forward genetic screens. Indeed, SB mouse models of cancer have revealed insights into the genetics of tumorigenesis. In this review, we highlight experiments that have exploited the SB system to interrogate the genetics of cancer in distinct biological contexts. We also propose experimental designs that could further our understanding of the relationship between tumor microenvironment and tumor progression.
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Affiliation(s)
- Amy Guimaraes-Young
- Department of Anatomy and Cell Biology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Charlotte R Feddersen
- Department of Anatomy and Cell Biology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA, United States
| | - Adam J Dupuy
- Department of Anatomy and Cell Biology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA, United States
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15
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Lu IL, Chen C, Tung CY, Chen HH, Pan JP, Chang CH, Cheng JS, Chen YA, Wang CH, Huang CW, Kang YN, Chang HY, Li LL, Chang KP, Shih YH, Lin CH, Kwan SY, Tsai JW. Identification of genes associated with cortical malformation using a transposon-mediated somatic mutagenesis screen in mice. Nat Commun 2018; 9:2498. [PMID: 29950674 PMCID: PMC6021418 DOI: 10.1038/s41467-018-04880-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 05/23/2018] [Indexed: 12/12/2022] Open
Abstract
Mutations in genes involved in the production, migration, or differentiation of cortical neurons often lead to malformations of cortical development (MCDs). However, many genetic mutations involved in MCD pathogenesis remain unidentified. Here we developed a genetic screening paradigm based on transposon-mediated somatic mutagenesis by in utero electroporation and the inability of mutant neuronal precursors to migrate to the cortex and identified 33 candidate MCD genes. Consistent with the screen, several genes have already been implicated in neural development and disorders. Functional disruption of the candidate genes by RNAi or CRISPR/Cas9 causes altered neuronal distributions that resemble human cortical dysplasia. To verify potential clinical relevance of these candidate genes, we analyzed somatic mutations in brain tissue from patients with focal cortical dysplasia and found that mutations are enriched in these candidate genes. These results demonstrate that this approach is able to identify potential mouse genes involved in cortical development and MCD pathogenesis. Cortical malformations have a variety of causes. Here the authors use transposon mutagenesis to insert mutations into neural stem cells in the developing mouse cortex to screen for new candidate genes for cortical malformation, and validate some targets in human brain tissue.
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Affiliation(s)
- I-Ling Lu
- Institute of Brain Science, National Yang-Ming University, Taipei, 112, Taiwan
| | - Chien Chen
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,National Yang-Ming University School of Medicine, Taipei, 112, Taiwan
| | - Chien-Yi Tung
- VYM Genome Research Center of National Yang-Ming University, Taipei, 112, Taiwan.,Institute of Microbiology and Immunology, National Yang-Ming University, Taipei, 112, Taiwan
| | - Hsin-Hung Chen
- National Yang-Ming University School of Medicine, Taipei, 112, Taiwan.,Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, 112, Taiwan
| | - Jia-Ping Pan
- VYM Genome Research Center of National Yang-Ming University, Taipei, 112, Taiwan
| | - Chia-Hsiang Chang
- Institute of Brain Science, National Yang-Ming University, Taipei, 112, Taiwan.,Taiwan International Graduate Program (TIGP) in Molecular Medicine, National Yang-Ming University and Academia Sinica, Taipei, 112, Taiwan
| | - Jia-Shing Cheng
- Institute of Brain Science, National Yang-Ming University, Taipei, 112, Taiwan
| | - Yi-An Chen
- Institute of Brain Science, National Yang-Ming University, Taipei, 112, Taiwan
| | - Chun-Hung Wang
- Institute of Brain Science, National Yang-Ming University, Taipei, 112, Taiwan
| | - Chia-Wei Huang
- Institute of Brain Science, National Yang-Ming University, Taipei, 112, Taiwan
| | - Yi-Ning Kang
- Institute of Brain Science, National Yang-Ming University, Taipei, 112, Taiwan
| | - Hsin-Yun Chang
- Institute of Brain Science, National Yang-Ming University, Taipei, 112, Taiwan
| | - Lei-Li Li
- Institute of Brain Science, National Yang-Ming University, Taipei, 112, Taiwan
| | - Kai-Ping Chang
- National Yang-Ming University School of Medicine, Taipei, 112, Taiwan.,Department of Pediatrics, Taipei Veterans General Hospital, Taipei, 112, Taiwan
| | - Yang-Hsin Shih
- National Yang-Ming University School of Medicine, Taipei, 112, Taiwan.,Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, 112, Taiwan
| | - Chi-Hung Lin
- VYM Genome Research Center of National Yang-Ming University, Taipei, 112, Taiwan.,Institute of Microbiology and Immunology, National Yang-Ming University, Taipei, 112, Taiwan.,Institute of Biophotonics, National Yang-Ming University, Taipei, 112, Taiwan
| | - Shang-Yeong Kwan
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,National Yang-Ming University School of Medicine, Taipei, 112, Taiwan
| | - Jin-Wu Tsai
- Institute of Brain Science, National Yang-Ming University, Taipei, 112, Taiwan. .,Brain Research Center, National Yang-Ming University, Taipei, 112, Taiwan. .,Biophotonics and Molecular Imaging Research Center, National Yang-Ming University, Taipei, 112, Taiwan.
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16
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Yum SY, Lee SJ, Park SG, Shin IG, Hahn SE, Choi WJ, Kim HS, Kim HJ, Bae SH, Lee JH, Moon JY, Lee WS, Lee JH, Lee CI, Kim SJ, Jang G. Long-term health and germline transmission in transgenic cattle following transposon-mediated gene transfer. BMC Genomics 2018; 19:387. [PMID: 29792157 PMCID: PMC5966871 DOI: 10.1186/s12864-018-4760-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 05/04/2018] [Indexed: 12/25/2022] Open
Abstract
Background Transposon-mediated, non-viral gene delivery is a powerful tool for generating stable cell lines and transgenic animals. However, as multi-copy insertion is the preferred integration pattern, there is the potential for uncontrolled changes in endogenous gene expression and detrimental effects in cells or animals. Our group has previously reported on the generation of several transgenic cattle by using microinjection of the Sleeping Beauty (SB) and PiggyBac (PB) transposons and seeks to explore the long-term effects of this technology on cattle. Results Transgenic cattle, one female (SNU-SB-1) and one male (SNU-PB-1), reached over 36 months of age with no significant health issues and normal blood parameters. The detection of transgene integration and fluorescent signal in oocytes and sperm suggested the capacity for germline transmission in both of the founder animals. After natural breeding, the founder transgenic cow delivered a male calf and secreted milk containing fluorescent transgenic proteins. The calf expressed green fluorescent protein in primary cells from ear skin, with no significant change in overall genomic stability and blood parameters. Three sites of transgene integration were identified by next-generation sequencing of the calf’s genome. Conclusions Overall, these data demonstrate that transposon-mediated transgenesis can be applied to cattle without being detrimental to their long-term genomic stability or general health. We further suggest that this technology may be usefully applied in other fields, such as the generation of transgenic animal models. Electronic supplementary material The online version of this article (10.1186/s12864-018-4760-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Soo-Young Yum
- Department of Theriogenology, College of Veterinary Medicine and the Research Institute of Veterinary Science, Seoul National University, #631 Building 85, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Song-Jeon Lee
- Embryo Research Center, Seoul Milk Coop, Gyeonggi-do, 12528, Republic of Korea
| | - Sin-Gi Park
- Bioinformatics Team, Theragen Etex Bio Institute, Advanced Institutes of Convergence Technology, Kwanggyo Technovalley, Suwon, 16229, Republic of Korea
| | - In-Gang Shin
- Bioinformatics Team, Theragen Etex Bio Institute, Advanced Institutes of Convergence Technology, Kwanggyo Technovalley, Suwon, 16229, Republic of Korea
| | - Sang-Eun Hahn
- Department of Theriogenology, College of Veterinary Medicine and the Research Institute of Veterinary Science, Seoul National University, #631 Building 85, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Woo-Jae Choi
- Department of Theriogenology, College of Veterinary Medicine and the Research Institute of Veterinary Science, Seoul National University, #631 Building 85, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Hee-Soo Kim
- Embryo Research Center, Seoul Milk Coop, Gyeonggi-do, 12528, Republic of Korea
| | - Hyeong-Jong Kim
- Embryo Research Center, Seoul Milk Coop, Gyeonggi-do, 12528, Republic of Korea
| | - Seong-Hun Bae
- Embryo Research Center, Seoul Milk Coop, Gyeonggi-do, 12528, Republic of Korea
| | - Je-Hyeong Lee
- Embryo Research Center, Seoul Milk Coop, Gyeonggi-do, 12528, Republic of Korea
| | - Joo-Yeong Moon
- Embryo Research Center, Seoul Milk Coop, Gyeonggi-do, 12528, Republic of Korea
| | - Woo-Sung Lee
- Embryo Research Center, Seoul Milk Coop, Gyeonggi-do, 12528, Republic of Korea
| | - Ji-Hyun Lee
- Department of Theriogenology, College of Veterinary Medicine and the Research Institute of Veterinary Science, Seoul National University, #631 Building 85, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Choong-Il Lee
- Department of Theriogenology, College of Veterinary Medicine and the Research Institute of Veterinary Science, Seoul National University, #631 Building 85, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Seong-Jin Kim
- Bioinformatics Team, Theragen Etex Bio Institute, Advanced Institutes of Convergence Technology, Kwanggyo Technovalley, Suwon, 16229, Republic of Korea
| | - Goo Jang
- Department of Theriogenology, College of Veterinary Medicine and the Research Institute of Veterinary Science, Seoul National University, #631 Building 85, Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea. .,Emergence Center for Food-Medicine Personalized Therapy System, Advanced Institutes of Convergence Technology, Seoul National University, Gyeonggi-do, 16229, Republic of Korea.
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17
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O'Donnell KA. Advances in functional genetic screening with transposons and CRISPR/Cas9 to illuminate cancer biology. Curr Opin Genet Dev 2018; 49:85-94. [PMID: 29587177 PMCID: PMC6312197 DOI: 10.1016/j.gde.2018.03.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 02/27/2018] [Accepted: 03/08/2018] [Indexed: 12/18/2022]
Abstract
Large-scale genome sequencing studies have identified a wealth of mutations in human tumors and have dramatically advanced the field of cancer genetics. However, the functional consequences of an altered gene in tumor progression cannot always be inferred from mutation status alone. This underscores the critical need for complementary methods to assign functional significance to mutated genes in cancer. Transposons are mobile genetic elements that serve as powerful tools for insertional mutagenesis. Over the last decade, investigators have employed mouse models with ondemand transposon-mediated mutagenesis to perform unbiased genetic screens to identify clinically relevant genes that participate in the pathogenesis of human cancer. Two distinct DNA transposon mutagenesis systems, Sleeping Beauty (SB) and PiggyBac (PB), have been applied extensively in vivo and more recently, in ex vivo settings. These studies have informed our understanding of the genes and pathways that drive cancer initiation, progression, and metastasis. This review highlights the latest progress on cancer gene identification for specific cancer subtypes, as well as new technological advances and incorporation of the CRISPR/Cas9 toolbox into transposon-mediated functional genetic studies.
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Affiliation(s)
- Kathryn A O'Donnell
- Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390-9148, United States; Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX 75390-9148, United States; Hamon Center for Regenerative Science and Medicine, UT Southwestern Medical Center, Dallas, TX 75390-9148, United States.
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18
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Riordan JD, Feddersen CR, Tschida BR, Jackson P, Keng VW, Linden MA, Amin K, Stipp CS, Largaespada DA, Dupuy AJ. Chronic liver injury alters driver mutation profiles in hepatocellular carcinoma in mice. Hepatology 2018; 67:924-939. [PMID: 28961327 PMCID: PMC5826818 DOI: 10.1002/hep.29565] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 07/31/2017] [Accepted: 09/27/2017] [Indexed: 02/06/2023]
Abstract
Most hepatocellular carcinomas (HCCs) develop in a chronically injured liver, yet the extent to which this microenvironment promotes neoplastic transformation or influences selective pressures for genetic drivers of HCC remains unclear. We sought to determine the impact of hepatic injury in an established mouse model of HCC induced by Sleeping Beauty transposon mutagenesis. Chemically induced chronic liver injury dramatically increased tumor penetrance and significantly altered driver mutation profiles, likely reflecting distinct selective pressures. In addition to established human HCC genes and pathways, we identified several injury-associated candidates that represent promising loci for further study. Among them, we found that FIGN is overexpressed in human HCC and promotes hepatocyte invasion. We also validated Gli2's oncogenic potential in vivo, providing direct evidence that Hedgehog signaling can drive liver tumorigenesis in the context of chronic injury. Finally, we show that a subset of injury-associated candidate genes identifies two distinct classes of human HCCs. Further analysis of these two subclasses revealed significant trends among common molecular classification schemes of HCC. The genes and mechanisms identified here provide functional insights into the origin of HCC in a chronic liver damage environment. CONCLUSION A chronically damaged liver microenvironment influences the genetic mechanisms that drive hepatocarcinogenesis. (Hepatology 2018;67:924-939).
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Affiliation(s)
- Jesse D. Riordan
- Department of Anatomy & Cell Biology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA
| | - Charlotte R. Feddersen
- Department of Anatomy & Cell Biology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA
| | - Barbara R. Tschida
- Masonic Cancer Center, Department of Pediatrics & Center for Genome Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | - Pauline Jackson
- Masonic Cancer Center, Department of Pediatrics & Center for Genome Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | - Vincent W. Keng
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
| | - Michael A. Linden
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Khalid Amin
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Christopher S. Stipp
- Department of Biology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA
| | - David A. Largaespada
- Masonic Cancer Center, Department of Pediatrics & Center for Genome Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | - Adam J. Dupuy
- Department of Anatomy & Cell Biology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA 52242, USA
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19
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Kawakami K, Largaespada DA, Ivics Z. Transposons As Tools for Functional Genomics in Vertebrate Models. Trends Genet 2017; 33:784-801. [PMID: 28888423 DOI: 10.1016/j.tig.2017.07.006] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Revised: 07/14/2017] [Accepted: 07/18/2017] [Indexed: 02/06/2023]
Abstract
Genetic tools and mutagenesis strategies based on transposable elements are currently under development with a vision to link primary DNA sequence information to gene functions in vertebrate models. By virtue of their inherent capacity to insert into DNA, transposons can be developed into powerful tools for chromosomal manipulations. Transposon-based forward mutagenesis screens have numerous advantages including high throughput, easy identification of mutated alleles, and providing insight into genetic networks and pathways based on phenotypes. For example, the Sleeping Beauty transposon has become highly instrumental to induce tumors in experimental animals in a tissue-specific manner with the aim of uncovering the genetic basis of diverse cancers. Here, we describe a battery of mutagenic cassettes that can be applied in conjunction with transposon vectors to mutagenize genes, and highlight versatile experimental strategies for the generation of engineered chromosomes for loss-of-function as well as gain-of-function mutagenesis for functional gene annotation in vertebrate models, including zebrafish, mice, and rats.
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Affiliation(s)
- Koichi Kawakami
- Division of Molecular and Developmental Biology, National Institute of Genetics, Mishima, Japan; These authors contributed equally to this work
| | - David A Largaespada
- Department of Genetics, Cell Biology and Development, University of Minnesota, MN, USA; These authors contributed equally to this work
| | - Zoltán Ivics
- Division of Medical Biotechnology, Paul Ehrlich Institute, Langen, Germany; These authors contributed equally to this work..
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20
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Galuschka C, Proynova R, Roth B, Augustin HG, Müller-Decker K. Models in Translational Oncology: A Public Resource Database for Preclinical Cancer Research. Cancer Res 2017; 77:2557-2563. [DOI: 10.1158/0008-5472.can-16-3099] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Revised: 01/05/2017] [Accepted: 03/15/2017] [Indexed: 12/12/2022]
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21
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de la Rosa J, Weber J, Friedrich MJ, Li Y, Rad L, Ponstingl H, Liang Q, de Quirós SB, Noorani I, Metzakopian E, Strong A, Li MA, Astudillo A, Fernández-García MT, Fernández-García MS, Hoffman GJ, Fuente R, Vassiliou GS, Rad R, López-Otín C, Bradley A, Cadiñanos J. A single-copy Sleeping Beauty transposon mutagenesis screen identifies new PTEN-cooperating tumor suppressor genes. Nat Genet 2017; 49:730-741. [PMID: 28319090 PMCID: PMC5409503 DOI: 10.1038/ng.3817] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Accepted: 02/24/2017] [Indexed: 12/11/2022]
Abstract
The overwhelming number of genetic alterations identified through cancer genome sequencing requires complementary approaches to interpret their significance and interactions. Here we developed a novel whole-body insertional mutagenesis screen in mice, which was designed for the discovery of Pten-cooperating tumor suppressors. Toward this aim, we coupled mobilization of a single-copy inactivating Sleeping Beauty transposon to Pten disruption within the same genome. The analysis of 278 transposition-induced prostate, breast and skin tumors detected tissue-specific and shared data sets of known and candidate genes involved in cancer. We validated ZBTB20, CELF2, PARD3, AKAP13 and WAC, which were identified by our screens in multiple cancer types, as new tumor suppressor genes in prostate cancer. We demonstrated their synergy with PTEN in preventing invasion in vitro and confirmed their clinical relevance. Further characterization of Wac in vivo showed obligate haploinsufficiency for this gene (which encodes an autophagy-regulating factor) in a Pten-deficient context. Our study identified complex PTEN-cooperating tumor suppressor networks in different cancer types, with potential clinical implications.
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Affiliation(s)
- Jorge de la Rosa
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.,Instituto de Medicina Oncológica y Molecular de Asturias (IMOMA), Oviedo, Spain.,Departamento de Bioquímica y Biología Molecular, Facultad de Medicina, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, Oviedo, Spain
| | - Julia Weber
- Department of Internal Medicine II, Klinikum rechts der Isar, Technische Universität München, München, Germany.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Yilong Li
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Lena Rad
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Hannes Ponstingl
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Qi Liang
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Imran Noorani
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Alexander Strong
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Meng Amy Li
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Aurora Astudillo
- Servicio de Anatomía Patológica, Hospital Universitario Central de Asturias, Oviedo, Spain
| | | | | | - Gary J Hoffman
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.,School of Medicine, University of Western Australia, Crawley, Western Australia, Australia
| | - Rocío Fuente
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - George S Vassiliou
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Roland Rad
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.,Department of Internal Medicine II, Klinikum rechts der Isar, Technische Universität München, München, Germany.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Carlos López-Otín
- Departamento de Bioquímica y Biología Molecular, Facultad de Medicina, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, Oviedo, Spain.,Centro de Investigación Biomédica en Red de Cáncer, Spain
| | - Allan Bradley
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | - Juan Cadiñanos
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK.,Instituto de Medicina Oncológica y Molecular de Asturias (IMOMA), Oviedo, Spain
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Resistance mechanisms to TP53-MDM2 inhibition identified by in vivo piggyBac transposon mutagenesis screen in an Arf -/- mouse model. Proc Natl Acad Sci U S A 2017; 114:3151-3156. [PMID: 28265066 DOI: 10.1073/pnas.1620262114] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Inhibitors of double minute 2 protein (MDM2)-tumor protein 53 (TP53) interaction are predicted to be effective in tumors in which the TP53 gene is wild type, by preventing TP53 protein degradation. One such setting is represented by the frequent CDKN2A deletion in human cancer that, through inactivation of p14ARF, activates MDM2 protein, which in turn degrades TP53 tumor suppressor. Here we used piggyBac (PB) transposon insertional mutagenesis to anticipate resistance mechanisms occurring during treatment with the MDM2-TP53 inhibitor HDM201. Constitutive PB mutagenesis in Arf-/- mice provided a collection of spontaneous tumors with characterized insertional genetic landscapes. Tumors were allografted in large cohorts of mice to assess the pharmacologic effects of HDM201. Sixteen out of 21 allograft models were sensitive to HDM201 but ultimately relapsed under treatment. A comparison of tumors with acquired resistance to HDM201 and untreated tumors identified 87 genes that were differentially and significantly targeted by the PB transposon. Resistant tumors displayed a complex clonality pattern suggesting the emergence of several resistant subclones. Among the most frequent alterations conferring resistance, we observed somatic and insertional loss-of-function mutations in transformation-related protein 53 (Trp53) in 54% of tumors and transposon-mediated gain-of-function alterations in B-cell lymphoma-extra large (Bcl-xL), Mdm4, and two TP53 family members, resulting in expression of the TP53 dominant negative truncations ΔNTrp63 and ΔNTrp73. Enhanced BCL-xL and MDM4 protein expression was confirmed in resistant tumors, as well as in HDM201-resistant patient-derived tumor xenografts. Interestingly, concomitant inhibition of MDM2 and BCL-xL demonstrated significant synergy in p53 wild-type cell lines in vitro. Collectively, our findings identify several potential mechanisms by which TP53 wild-type tumors may escape MDM2-targeted therapy.
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A Novel Ideal Radionuclide Imaging System for Non-invasively Cell Monitoring built on Baculovirus Backbone by Introducing Sleeping Beauty Transposon. Sci Rep 2017; 7:43879. [PMID: 28262785 PMCID: PMC5338331 DOI: 10.1038/srep43879] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Accepted: 01/30/2017] [Indexed: 12/17/2022] Open
Abstract
Sleeping Beauty (SB) transposon is an attractive tool in stable transgene integration both in vitro and in vivo; and we introduced SB transposon into recombinant sodium-iodide symporter baculovirus system (Bac-NIS system) to facilitate long-term expression of recombinant sodium-iodide symporter. In our study, two hybrid baculovirus systems (Bac-eGFP-SB-NeoR and Bac-NIS-SB-NeoR) were successfully constructed and used to infect U87 glioma cells. After G418 selection screening, the Bac-eGFP-SB-NeoR-U87 cells remained eGFP positive, at the 18th and 196th day post transfection (96.03 ± 0.21% and 97.43 ± 0.81%), while eGFP positive population declined significantly at 18 days in cells transfected with unmodified baculovirus construct. NIS gene expression by Bac-NIS-SB-NeoR-U87 cells was also maintained for 28 weeks as determined by radioiodine uptake assay, reverse transcription-polymerase chain reaction (RT-PCR) and Western Blot (WB) assay. When transplanted in mice, Bac-NIS-SB-NeoR-U87 cells also expressed NIS gene stably as monitored by SPECT imaging for 43 days until the tumor-bearing mice were sacrificed. Herein, we showed that incorporation of SB in Bac-NIS system (hybrid Bac-NIS-SB-NeoR) can achieve a long-term transgene expression and can improve radionuclide imaging in cell tracking and monitoring in vivo.
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Yoshida J, Akagi K, Misawa R, Kokubu C, Takeda J, Horie K. Chromatin states shape insertion profiles of the piggyBac, Tol2 and Sleeping Beauty transposons and murine leukemia virus. Sci Rep 2017; 7:43613. [PMID: 28252665 PMCID: PMC5333637 DOI: 10.1038/srep43613] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Accepted: 01/26/2017] [Indexed: 12/31/2022] Open
Abstract
DNA transposons and retroviruses are versatile tools in functional genomics and gene therapy. To facilitate their application, we conducted a genome-wide insertion site profiling of the piggyBac (PB), Tol2 and Sleeping Beauty (SB) transposons and the murine leukemia virus (MLV) in mouse embryonic stem cells (ESCs). PB and MLV preferred highly expressed genes, whereas Tol2 and SB preferred weakly expressed genes. However, correlations with DNase I hypersensitive sites were different for all vectors, indicating that chromatin accessibility is not the sole determinant. Therefore, we analysed various chromatin states. PB and MLV highly correlated with Cohesin, Mediator and ESC-specific transcription factors. Notably, CTCF sites were correlated with PB but not with MLV, suggesting MLV prefers smaller promoter-enhancer loops, whereas PB insertion encompasses larger chromatin loops termed topologically associating domains. Tol2 also correlated with Cohesin and CTCF. However, correlations with ESC-specific transcription factors were weaker, suggesting that Tol2 prefers transcriptionally weak chromatin loops. Consistently, Tol2 insertions were associated with bivalent histone modifications characteristic of silent and inducible loci. SB showed minimum preference to all chromatin states, suggesting the least adverse effect on adjacent genes. These results will be useful for vector selection for various applications.
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Affiliation(s)
- Junko Yoshida
- Department of Physiology II, Nara Medical University, Kashihara, Nara 634-8521, Japan.,Department of Genome Biology, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan
| | - Keiko Akagi
- Comprehensive Cancer Center, Ohio State University, Columbus, Ohio 43210, USA
| | - Ryo Misawa
- Department of Physiology II, Nara Medical University, Kashihara, Nara 634-8521, Japan
| | - Chikara Kokubu
- Department of Genome Biology, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan
| | - Junji Takeda
- Department of Genome Biology, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan
| | - Kyoji Horie
- Department of Physiology II, Nara Medical University, Kashihara, Nara 634-8521, Japan.,Department of Genome Biology, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan.,Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan
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25
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Re-calculating! Navigating through the osteosarcoma treatment roadblock. Pharmacol Res 2016; 117:54-64. [PMID: 27940205 DOI: 10.1016/j.phrs.2016.12.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 11/29/2016] [Accepted: 12/05/2016] [Indexed: 01/03/2023]
Abstract
The survival rates for patients with osteosarcoma have remained almost static for the past three decades. Current standard of care therapy includes chemotherapies such as doxorubicin, cisplatin, and methotrexate along with complete surgical resection and surgery with or without ifosfamide and etoposide for relapse, though outcomes are hoped to be improved through clinical trials. Additionally, increased understanding of the genetics, signaling pathways and microenvironmental factors driving the disease have led to the identification of promising agents and potential paths towards translation of an exciting array of novel targeted therapies. Here, we review the mechanism of action of these emerging therapies and how, with clinical translation, they can potentially improve the survival rates for osteosarcoma patients in the near future.
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26
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Bii VM, Trobridge GD. Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors. Cancers (Basel) 2016; 8:cancers8110099. [PMID: 27792127 PMCID: PMC5126759 DOI: 10.3390/cancers8110099] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2016] [Revised: 10/12/2016] [Accepted: 10/17/2016] [Indexed: 12/16/2022] Open
Abstract
Identifying novel genes that drive tumor metastasis and drug resistance has significant potential to improve patient outcomes. High-throughput sequencing approaches have identified cancer genes, but distinguishing driver genes from passengers remains challenging. Insertional mutagenesis screens using replication-incompetent retroviral vectors have emerged as a powerful tool to identify cancer genes. Unlike replicating retroviruses and transposons, replication-incompetent retroviral vectors lack additional mutagenesis events that can complicate the identification of driver mutations from passenger mutations. They can also be used for almost any human cancer due to the broad tropism of the vectors. Replication-incompetent retroviral vectors have the ability to dysregulate nearby cancer genes via several mechanisms including enhancer-mediated activation of gene promoters. The integrated provirus acts as a unique molecular tag for nearby candidate driver genes which can be rapidly identified using well established methods that utilize next generation sequencing and bioinformatics programs. Recently, retroviral vector screens have been used to efficiently identify candidate driver genes in prostate, breast, liver and pancreatic cancers. Validated driver genes can be potential therapeutic targets and biomarkers. In this review, we describe the emergence of retroviral insertional mutagenesis screens using replication-incompetent retroviral vectors as a novel tool to identify cancer driver genes in different cancer types.
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Affiliation(s)
- Victor M Bii
- College of Pharmacy, Washington State University, WSU Spokane PBS 323, P.O. Box 1495, Spokane, WA 99210, USA.
| | - Grant D Trobridge
- College of Pharmacy, Washington State University, WSU Spokane PBS 323, P.O. Box 1495, Spokane, WA 99210, USA.
- School of Molecular Biosciences, Washington State University, Pullman, WA 99164, USA.
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27
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Watson AL, Carlson DF, Largaespada DA, Hackett PB, Fahrenkrug SC. Engineered Swine Models of Cancer. Front Genet 2016; 7:78. [PMID: 27242889 PMCID: PMC4860525 DOI: 10.3389/fgene.2016.00078] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 04/18/2016] [Indexed: 12/13/2022] Open
Abstract
Over the past decade, the technology to engineer genetically modified swine has seen many advancements, and because their physiology is remarkably similar to that of humans, swine models of cancer may be extremely valuable for preclinical safety studies as well as toxicity testing of pharmaceuticals prior to the start of human clinical trials. Hence, the benefits of using swine as a large animal model in cancer research and the potential applications and future opportunities of utilizing pigs in cancer modeling are immense. In this review, we discuss how pigs have been and can be used as a biomedical models for cancer research, with an emphasis on current technologies. We have focused on applications of precision genetics that can provide models that mimic human cancer predisposition syndromes. In particular, we describe the advantages of targeted gene-editing using custom endonucleases, specifically TALENs and CRISPRs, and transposon systems, to make novel pig models of cancer with broad preclinical applications.
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Affiliation(s)
| | | | - David A Largaespada
- RecombineticsSt. Paul, MN, USA; Masonic Cancer Center, University of MinnesotaMinneapolis, MN, USA; Genetics, Cell Biology and Development, University of MinnesotaMinneapolis, MN, USA; Pediatrics, University of MinnesotaMinneapolis, MN, USA
| | - Perry B Hackett
- RecombineticsSt. Paul, MN, USA; Genetics, Cell Biology and Development, University of MinnesotaMinneapolis, MN, USA; Center for Genome Engineering, University of MinnesotaMinneapolis, MN, USA
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28
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Pandzic T, Larsson J, He L, Kundu S, Ban K, Akhtar-Ali M, Hellström AR, Schuh A, Clifford R, Blakemore SJ, Strefford JC, Baumann T, Lopez-Guillermo A, Campo E, Ljungström V, Mansouri L, Rosenquist R, Sjöblom T, Hellström M. Transposon Mutagenesis Reveals Fludarabine Resistance Mechanisms in Chronic Lymphocytic Leukemia. Clin Cancer Res 2016; 22:6217-6227. [PMID: 26957556 DOI: 10.1158/1078-0432.ccr-15-2903] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Revised: 02/16/2016] [Accepted: 02/17/2016] [Indexed: 11/16/2022]
Abstract
PURPOSE To identify resistance mechanisms for the chemotherapeutic drug fludarabine in chronic lymphocytic leukemia (CLL), as innate and acquired resistance to fludarabine-based chemotherapy represents a major challenge for long-term disease control. EXPERIMENTAL DESIGN We used piggyBac transposon-mediated mutagenesis, combined with next-generation sequencing, to identify genes that confer resistance to fludarabine in a human CLL cell line. RESULTS In total, this screen identified 782 genes with transposon integrations in fludarabine-resistant pools of cells. One of the identified genes is a known resistance mediator DCK (deoxycytidine kinase), which encodes an enzyme that is essential for the phosphorylation of the prodrug to the active metabolite. BMP2K, a gene not previously linked to CLL, was also identified as a modulator of response to fludarabine. In addition, 10 of 782 transposon-targeted genes had previously been implicated in treatment resistance based on somatic mutations seen in patients refractory to fludarabine-based therapy. Functional characterization of these genes supported a significant role for ARID5B and BRAF in fludarabine sensitivity. Finally, pathway analysis of transposon-targeted genes and RNA-seq profiling of fludarabine-resistant cells suggested deregulated MAPK signaling as involved in mediating drug resistance in CLL. CONCLUSIONS To our knowledge, this is the first forward genetic screen for chemotherapy resistance in CLL. The screen pinpointed novel genes and pathways involved in fludarabine resistance along with previously known resistance mechanisms. Transposon screens can therefore aid interpretation of cancer genome sequencing data in the identification of genes modifying sensitivity to chemotherapy. Clin Cancer Res; 22(24); 6217-27. ©2016 AACR.
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Affiliation(s)
- Tatjana Pandzic
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden
| | - Jimmy Larsson
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden
| | - Liqun He
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden
| | - Snehangshu Kundu
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden
| | - Kenneth Ban
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden.,Department of Biochemistry, Yong Loo Lin School of Medicine, NUS, Institute of Molecular and Cell Biology, A*STAR, Singapore
| | - Muhammad Akhtar-Ali
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden
| | - Anders R Hellström
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden
| | - Anna Schuh
- Radcliffe Department of Medicine, Oxford University, Oxford, United Kingdom
| | - Ruth Clifford
- Radcliffe Department of Medicine, Oxford University, Oxford, United Kingdom
| | - Stuart J Blakemore
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Jonathan C Strefford
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Tycho Baumann
- Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | | | - Elias Campo
- Unitat de Hematología, Hospital Clíınic, IDIBAPS, Universitat de Barcelona, Barcelona, Spain
| | - Viktor Ljungström
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden
| | - Larry Mansouri
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden
| | - Richard Rosenquist
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden
| | - Tobias Sjöblom
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden
| | - Mats Hellström
- Department of Immunology, Genetics and Pathology, Science for Life laboratory, Uppsala University, Uppsala, Sweden.
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29
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Zhu S, Thomas Look A. Neuroblastoma and Its Zebrafish Model. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2016; 916:451-78. [PMID: 27165366 DOI: 10.1007/978-3-319-30654-4_20] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Neuroblastoma, an important developmental tumor arising in the peripheral sympathetic nervous system (PSNS), accounts for approximately 10 % of all cancer-related deaths in children. Recent genomic analyses have identified a spectrum of genetic alterations in this tumor. Amplification of the MYCN oncogene is found in 20 % of cases and is often accompanied by mutational activation of the ALK (anaplastic lymphoma kinase) gene, suggesting their cooperation in tumor initiation and spread. Understanding how complex genetic changes function together in oncogenesis has been a continuing and daunting task in cancer research. This challenge was addressed in neuroblastoma by generating a transgenic zebrafish model that overexpresses human MYCN and activated ALK in the PSNS, leading to tumors that closely resemble human neuroblastoma and new opportunities to probe the mechanisms that underlie the pathogenesis of this tumor. For example, coexpression of activated ALK with MYCN in this model triples the penetrance of neuroblastoma and markedly accelerates tumor onset, demonstrating the interaction of these modified genes in tumor development. Further, MYCN overexpression induces adrenal sympathetic neuroblast hyperplasia, blocks chromaffin cell differentiation, and ultimately triggers a developmentally-timed apoptotic response in the hyperplastic sympathoadrenal cells. In the context of MYCN overexpression, activated ALK provides prosurvival signals that block this apoptotic response, allowing continued expansion and oncogenic transformation of hyperplastic neuroblasts, thus promoting progression to neuroblastoma. This application of the zebrafish model illustrates its value in rational assessment of the multigenic changes that define neuroblastoma pathogenesis and points the way to future studies to identify novel targets for therapeutic intervention.
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Affiliation(s)
- Shizhen Zhu
- Department of Biochemistry and Molecular Biology, Cancer Center and Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55902, USA.
| | - A Thomas Look
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA.
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30
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Sleeping Beauty Transposon Mutagenesis as a Tool for Gene Discovery in the NOD Mouse Model of Type 1 Diabetes. G3-GENES GENOMES GENETICS 2015; 5:2903-11. [PMID: 26438296 PMCID: PMC4683661 DOI: 10.1534/g3.115.021709] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
A number of different strategies have been used to identify genes for which genetic variation contributes to type 1 diabetes (T1D) pathogenesis. Genetic studies in humans have identified >40 loci that affect the risk for developing T1D, but the underlying causative alleles are often difficult to pinpoint or have subtle biological effects. A complementary strategy to identifying "natural" alleles in the human population is to engineer "artificial" alleles within inbred mouse strains and determine their effect on T1D incidence. We describe the use of the Sleeping Beauty (SB) transposon mutagenesis system in the nonobese diabetic (NOD) mouse strain, which harbors a genetic background predisposed to developing T1D. Mutagenesis in this system is random, but a green fluorescent protein (GFP)-polyA gene trap within the SB transposon enables early detection of mice harboring transposon-disrupted genes. The SB transposon also acts as a molecular tag to, without additional breeding, efficiently identify mutated genes and prioritize mutant mice for further characterization. We show here that the SB transposon is functional in NOD mice and can produce a null allele in a novel candidate gene that increases diabetes incidence. We propose that SB transposon mutagenesis could be used as a complementary strategy to traditional methods to help identify genes that, when disrupted, affect T1D pathogenesis.
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31
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Farthing HM, Marie KL, Merlino G. Buckle up! Transposon mutagenesis can differentiate melanoma drivers from their many passengers. Pigment Cell Melanoma Res 2015; 28:646-7. [PMID: 26314840 DOI: 10.1111/pcmr.12416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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