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Ren W, Fu C, Zhang Y, Ju X, Jiang X, Song J, Gong M, Li Z, Fan W, Yao J, Ding Q. Zika virus NS5 protein inhibits type I interferon signaling via CRL3 E3 ubiquitin ligase-mediated degradation of STAT2. Proc Natl Acad Sci U S A 2024; 121:e2403235121. [PMID: 39145933 PMCID: PMC11348293 DOI: 10.1073/pnas.2403235121] [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: 02/16/2024] [Accepted: 07/09/2024] [Indexed: 08/16/2024] Open
Abstract
The ZIKA virus (ZIKV) evades the host immune response by degrading STAT2 through its NS5 protein, thereby inhibiting type I interferon (IFN)-mediated antiviral immunity. However, the molecular mechanism underlying this process has remained elusive. In this study, we performed a genome-wide CRISPR/Cas9 screen, revealing that ZSWIM8 as the substrate receptor of Cullin3-RING E3 ligase is required for NS5-mediated STAT2 degradation. Genetic depletion of ZSWIM8 and CUL3 substantially impeded NS5-mediated STAT2 degradation. Biochemical analysis illuminated that NS5 enhances the interaction between STAT2 and the ZSWIM8-CUL3 E3 ligase complex, thereby facilitating STAT2 ubiquitination. Moreover, ZSWIM8 knockout endowed A549 and Huh7 cells with partial resistance to ZIKV infection and protected cells from the cytopathic effects induced by ZIKV, which was attributed to the restoration of STAT2 levels and the activation of IFN signaling. Subsequent studies in a physiologically relevant model, utilizing human neural progenitor cells, demonstrated that ZSWIM8 depletion reduced ZIKV infection, resulting from enhanced IFN signaling attributed to the sustained levels of STAT2. Our findings shed light on the role of ZIKV NS5, serving as the scaffold protein, reprograms the ZSWIM8-CUL3 E3 ligase complex to orchestrate STAT2 proteasome-dependent degradation, thereby facilitating evasion of IFN antiviral signaling. Our study provides unique insights into ZIKV-host interactions and holds promise for the development of antivirals and prophylactic vaccines.
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Affiliation(s)
- Wenlin Ren
- Center for Infection Biology, School of Medicine, Tsinghua University, Beijing100084, China
| | - Chonglei Fu
- State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, McGovern Institute for Brain Research, School of Life Sciences, Tsinghua University, Beijing100084, China
| | - Yu Zhang
- Center for Infection Biology, School of Medicine, Tsinghua University, Beijing100084, China
| | - Xiaohui Ju
- Center for Infection Biology, School of Medicine, Tsinghua University, Beijing100084, China
| | - Xi Jiang
- State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, McGovern Institute for Brain Research, School of Life Sciences, Tsinghua University, Beijing100084, China
| | - Jingwei Song
- Center for Infection Biology, School of Medicine, Tsinghua University, Beijing100084, China
| | - Mingli Gong
- Center for Infection Biology, School of Medicine, Tsinghua University, Beijing100084, China
| | - Zhuoyang Li
- Shanxi Medical University-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan030001, China
- School of Management, Shanxi Medical University, Taiyuan030001, China
| | - Wenchun Fan
- Life Science Institute, Zhejiang University, Hangzhou31008, China
| | - Jun Yao
- State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, McGovern Institute for Brain Research, School of Life Sciences, Tsinghua University, Beijing100084, China
| | - Qiang Ding
- Center for Infection Biology, School of Medicine, Tsinghua University, Beijing100084, China
- Shanxi Medical University-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan030001, China
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2
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Hatanaka R, Tamagawa K, Haruta N, Sugimoto A. The impact of differential transposition activities of autonomous and nonautonomous hAT transposable elements on genome architecture and gene expression in Caenorhabditis inopinata. Genetics 2024; 227:iyae052. [PMID: 38577765 DOI: 10.1093/genetics/iyae052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 01/08/2024] [Accepted: 03/28/2024] [Indexed: 04/06/2024] Open
Abstract
Transposable elements are DNA sequences capable of moving within genomes and significantly influence genomic evolution. The nematode Caenorhabditis inopinata exhibits a much higher transposable element copy number than its sister species, Caenorhabditis elegans. In this study, we identified a novel autonomous transposable element belonging to the hAT superfamily from a spontaneous transposable element-insertion mutant in C. inopinata and named this transposon Ci-hAT1. Further bioinformatic analyses uncovered 3 additional autonomous hAT elements-Ci-hAT2, Ci-hAT3, and Ci-hAT4-along with over 1,000 copies of 2 nonautonomous miniature inverted-repeat transposable elements, mCi-hAT1 and mCi-hAT4, likely derived from Ci-hAT1 and Ci-hAT4 through internal deletion. We tracked at least 3 sequential transpositions of Ci-hAT1 over several years. However, the transposition rates of the other 3 autonomous hAT elements were lower, suggesting varying activity levels. Notably, the distribution patterns of the 2 miniature inverted-repeat transposable element families differed significantly: mCi-hAT1 was primarily located in the chromosome arms, a pattern observed in the transposable elements of other Caenorhabditis species, whereas mCi-hAT4 was more evenly distributed across chromosomes. Additionally, interspecific transcriptome analysis indicated that C. inopinata genes with upstream or intronic these miniature inverted-repeat transposable element insertions tend to be more highly expressed than their orthologous genes in C. elegans. These findings highlight the significant role of de-silenced transposable elements in driving the evolution of genomes and transcriptomes, leading to species-specific genetic diversity.
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Affiliation(s)
- Ryuhei Hatanaka
- Laboratory of Developmental Dynamics, Graduate School of Life Sciences, Tohoku University, Sendai 980-8577, Japan
| | - Katsunori Tamagawa
- Laboratory of Evolutionary Genomics, Graduate School of Life Sciences, Tohoku University, Sendai 980-8578, Japan
| | - Nami Haruta
- Laboratory of Developmental Dynamics, Graduate School of Life Sciences, Tohoku University, Sendai 980-8577, Japan
| | - Asako Sugimoto
- Laboratory of Developmental Dynamics, Graduate School of Life Sciences, Tohoku University, Sendai 980-8577, Japan
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3
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Iida N, Muranaka Y, Park JW, Sekine S, Copeland NG, Jenkins NA, Shiraishi Y, Oshima M, Takeda H. Sleeping Beauty transposon mutagenesis in mouse intestinal organoids identifies genes involved in tumor progression and metastasis. Cancer Gene Ther 2024; 31:527-536. [PMID: 38177308 DOI: 10.1038/s41417-023-00723-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/14/2023] [Accepted: 12/19/2023] [Indexed: 01/06/2024]
Abstract
To identify genes important for colorectal cancer (CRC) development and metastasis, we established a new metastatic mouse organoid model using Sleeping Beauty (SB) transposon mutagenesis. Intestinal organoids derived from mice carrying actively mobilizing SB transposons, an activating KrasG12D, and an inactivating ApcΔ716 allele, were transplanted to immunodeficient mice. While 66.7% of mice developed primary tumors, 7.6% also developed metastatic tumors. Analysis of SB insertion sites in tumors identified numerous candidate cancer genes (CCGs) identified previously in intestinal SB screens performed in vivo, in addition to new CCGs, such as Slit2 and Atxn1. Metastatic tumors from the same mouse were clonally related to each other and to primary tumors, as evidenced by the transposon insertion site. To provide functional validation, we knocked out Slit2, Atxn1, and Cdkn2a in mouse tumor organoids and transplanted to mice. Tumor development was promoted when these gene were knocked out, demonstrating that these are potent tumor suppressors. Cdkn2a knockout cells also metastasized to the liver in 100% of the mice, demonstrating that Cdkn2a loss confers metastatic ability. Our organoid model thus provides a new approach that can be used to understand the evolutionary forces driving CRC metastasis and a rich resource to uncover CCGs promoting CRC.
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Affiliation(s)
- Naoko Iida
- Division of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Yukari Muranaka
- Laboratory of Molecular Genetics, National Cancer Center Research Institute, Tokyo, Japan
| | - Jun Won Park
- Division of Biomedical Convergence, College of Biomedical Science, Kang-won National University, Chuncheon-si, Republic of Korea
| | - Shigeki Sekine
- Division of Molecular Pathology, National Cancer Center Research Institute, Tokyo, Japan
| | - Neal G Copeland
- Genetics Department, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nancy A Jenkins
- Genetics Department, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuichi Shiraishi
- Division of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Masanobu Oshima
- Division of Genetics, Cancer Research Institute, Kanazawa University, Ishikawa, Japan
- Nano-Life Science Institute, Kanazawa University, Ishikawa, Japan
| | - Haruna Takeda
- Laboratory of Molecular Genetics, National Cancer Center Research Institute, Tokyo, Japan.
- Cancer genes and genomes unit, Cancer Research Institute, Kanazawa University, Ishikawa, Japan.
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4
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Kashiwagi K, Yoshida J, Kimura H, Shinjo K, Kondo Y, Horie K. Mutation of the SWI/SNF complex component Smarce1 decreases nucleosome stability in embryonic stem cells and impairs differentiation. J Cell Sci 2024; 137:jcs260467. [PMID: 38357971 DOI: 10.1242/jcs.260467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 02/07/2024] [Indexed: 02/16/2024] Open
Abstract
The SWI/SNF chromatin remodeling complex consists of more than ten component proteins that form a large protein complex of >1 MDa. The catalytic proteins Smarca4 or Smarca2 work in concert with the component proteins to form a chromatin platform suitable for transcriptional regulation. However, the mechanism by which each component protein works synergistically with the catalytic proteins remains largely unknown. Here, we report on the function of Smarce1, a component of the SWI/SNF complex, through the phenotypic analysis of homozygous mutant embryonic stem cells (ESCs). Disruption of Smarce1 induced the dissociation of other complex components from the SWI/SNF complex. Histone binding to DNA was loosened in homozygous mutant ESCs, indicating that disruption of Smarce1 decreased nucleosome stability. Sucrose gradient sedimentation analysis suggested that there was an ectopic genomic distribution of the SWI/SNF complex upon disruption of Smarce1, accounting for the misregulation of chromatin conformations. Unstable nucleosomes remained during ESC differentiation, impairing the heterochromatin formation that is characteristic of the differentiation process. These results suggest that Smarce1 guides the SWI/SNF complex to the appropriate genomic regions to generate chromatin structures adequate for transcriptional regulation.
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Affiliation(s)
- Katsunobu Kashiwagi
- Department of Physiology II, Nara Medical University, Kashihara, Nara 634-8521, Japan
- Division of Cancer Biology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Junko Yoshida
- Department of Physiology II, Nara Medical University, Kashihara, Nara 634-8521, Japan
| | - Hiroshi Kimura
- Cell Biology Center, Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Kanagawa 226-8503, Japan
| | - Keiko Shinjo
- Division of Cancer Biology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Yutaka Kondo
- Division of Cancer Biology, Nagoya University Graduate School of Medicine, Nagoya, Aichi 466-8550, Japan
| | - Kyoji Horie
- Department of Physiology II, Nara Medical University, Kashihara, Nara 634-8521, Japan
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5
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Yen A, Mateusiak C, Sarafinovska S, Gachechiladze MA, Guo J, Chen X, Moudgil A, Cammack AJ, Hoisington-Lopez J, Crosby M, Brent MR, Mitra RD, Dougherty JD. Calling Cards: A Customizable Platform to Longitudinally Record Protein-DNA Interactions Over Time in Cells and Tissues. Curr Protoc 2023; 3:e883. [PMID: 37755132 PMCID: PMC10627244 DOI: 10.1002/cpz1.883] [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] [Indexed: 09/28/2023]
Abstract
Calling Cards is a platform technology to record a cumulative history of transient protein-DNA interactions in the genome of genetically targeted cell types. The record of these interactions is recovered by next-generation sequencing. Compared with other genomic assays, readouts of which provide a snapshot at the time of harvest, Calling Cards enables correlation of historical molecular states to eventual outcomes or phenotypes. To achieve this, Calling Cards uses the piggyBac transposase to insert self-reporting transposon "Calling Cards" into the genome, leaving permanent marks at interaction sites. Calling Cards can be deployed in a variety of in vitro and in vivo biological systems to study gene regulatory networks involved in development, aging, and disease. Out of the box, it assesses enhancer usage but can be adapted to profile-specific transcription factor (TF) binding with custom TF-piggyBac fusion proteins. The Calling Cards workflow has five main stages: delivery of Calling Cards reagents, sample preparation, library preparation, sequencing, and data analysis. Here, we first present a comprehensive guide for experimental design, reagent selection, and optional customization of the platform to study additional TFs. Then, we provide an updated protocol for the five steps, using reagents that improve throughput and decrease costs, including an overview of a newly deployed computational pipeline. This protocol is designed for users with basic molecular biology experience to process samples into sequencing libraries in 2 days. Familiarity with bioinformatic analysis and command line tools is required to set up the pipeline in a high-performance computing environment and to conduct downstream analyses. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Preparation and delivery of Calling Cards reagents Support Protocol 1: Next-generation sequencing quantification of barcode distribution within self-reporting transposon plasmid pool and adeno-associated virus genome Basic Protocol 2: Sample collection and RNA purification Support Protocol 2: Library density quantitative PCR Basic Protocol 3: Sequencing library preparation Basic Protocol 4: Library pooling and sequencing Basic Protocol 5: Data analysis.
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Affiliation(s)
- Allen Yen
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110
| | - Chase Mateusiak
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Simona Sarafinovska
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110
| | - Mariam A. Gachechiladze
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110
| | - Juanru Guo
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Xuhua Chen
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Arnav Moudgil
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Alexander J. Cammack
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Jessica Hoisington-Lopez
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - MariaLynn Crosby
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Michael R. Brent
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
- Department of Computer Science and Engineering, Washington University, Saint Louis, MO 63130
| | - Robi D. Mitra
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Joseph D. Dougherty
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110
- Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, Saint Louis, MO 63110
- Lead contact
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6
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Carty SA, Murga-Zamalloa CA, Wilcox RA. SOHO State of the Art Updates and Next Questions | New Pathways and New Targets in PTCL: Staying on Target. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2023; 23:561-574. [PMID: 37142534 PMCID: PMC10565700 DOI: 10.1016/j.clml.2023.04.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/05/2023] [Accepted: 04/16/2023] [Indexed: 05/06/2023]
Abstract
While the peripheral T-cell lymphomas (PTCL) remain a therapeutic challenge, and increasingly account for a disproportionate number of lymphoma-related deaths, improved understanding of disease pathogenesis and classification, and the development of novel therapeutic agents over the past decade, all provide reasons for a more optimistic outlook in the next. Despite their genetic and molecular heterogeneity, many PTCL are dependent upon signaling input provided by antigen, costimulatory, and cytokine receptors. While gain-of-function alterations effecting these pathways are recurrently observed in many PTCL, more often than not, signaling remains ligand-and tumor microenvironment (TME)-dependent. Consequently, the TME and its constituents are increasingly recognized as "on target". Utilizing a "3 signal" model, we will review new-and old-therapeutic targets that are relevant for the more common nodal PTCL subtypes.
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Affiliation(s)
- Shannon A Carty
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI
| | | | - Ryan A Wilcox
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI.
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7
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Yen A, Mateusiak C, Sarafinovska S, Gachechiladze MA, Guo J, Chen X, Moudgil A, Cammack AJ, Hoisington-Lopez J, Crosby M, Brent MR, Mitra RD, Dougherty JD. Calling Cards: a customizable platform to longitudinally record protein-DNA interactions over time in cells and tissues. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.07.544098. [PMID: 37333130 PMCID: PMC10274760 DOI: 10.1101/2023.06.07.544098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Calling Cards is a platform technology to record a cumulative history of transient protein-DNA interactions in the genome of genetically targeted cell types. The record of these interactions is recovered by next generation sequencing. Compared to other genomic assays, whose readout provides a snapshot at the time of harvest, Calling Cards enables correlation of historical molecular states to eventual outcomes or phenotypes. To achieve this, Calling Cards uses the piggyBac transposase to insert self-reporting transposon (SRT) "Calling Cards" into the genome, leaving permanent marks at interaction sites. Calling Cards can be deployed in a variety of in vitro and in vivo biological systems to study gene regulatory networks involved in development, aging, and disease. Out of the box, it assesses enhancer usage but can be adapted to profile specific transcription factor binding with custom transcription factor (TF)-piggyBac fusion proteins. The Calling Cards workflow has five main stages: delivery of Calling Card reagents, sample preparation, library preparation, sequencing, and data analysis. Here, we first present a comprehensive guide for experimental design, reagent selection, and optional customization of the platform to study additional TFs. Then, we provide an updated protocol for the five steps, using reagents that improve throughput and decrease costs, including an overview of a newly deployed computational pipeline. This protocol is designed for users with basic molecular biology experience to process samples into sequencing libraries in 1-2 days. Familiarity with bioinformatic analysis and command line tools is required to set up the pipeline in a high-performance computing environment and to conduct downstream analyses. Basic Protocol 1: Preparation and delivery of Calling Cards reagentsBasic Protocol 2: Sample preparationBasic Protocol 3: Sequencing library preparationBasic Protocol 4: Library pooling and sequencingBasic Protocol 5: Data analysis.
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Affiliation(s)
- Allen Yen
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110
| | - Chase Mateusiak
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Simona Sarafinovska
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110
| | - Mariam A Gachechiladze
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110
| | - Juanru Guo
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Xuhua Chen
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Arnav Moudgil
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Alexander J Cammack
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Jessica Hoisington-Lopez
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - MariaLynn Crosby
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Michael R Brent
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
- Department of Computer Science and Engineering, Washington University, Saint Louis, MO 63130
| | - Robi D Mitra
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, Saint Louis, MO 63110
| | - Joseph D Dougherty
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110
- Intellectual and Developmental Disabilities Research Center, Washington University School of Medicine, Saint Louis, MO 63110
- Lead contact
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8
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Fischer A, Lersch R, de Andrade Krätzig N, Strong A, Friedrich MJ, Weber J, Engleitner T, Öllinger R, Yen HY, Kohlhofer U, Gonzalez-Menendez I, Sailer D, Kogan L, Lahnalampi M, Laukkanen S, Kaltenbacher T, Klement C, Rezaei M, Ammon T, Montero JJ, Schneider G, Mayerle J, Heikenwälder M, Schmidt-Supprian M, Quintanilla-Martinez L, Steiger K, Liu P, Cadiñanos J, Vassiliou GS, Saur D, Lohi O, Heinäniemi M, Conte N, Bradley A, Rad L, Rad R. In vivo interrogation of regulatory genomes reveals extensive quasi-insufficiency in cancer evolution. CELL GENOMICS 2023; 3:100276. [PMID: 36950387 PMCID: PMC10025556 DOI: 10.1016/j.xgen.2023.100276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 09/05/2022] [Accepted: 02/08/2023] [Indexed: 03/10/2023]
Abstract
In contrast to mono- or biallelic loss of tumor-suppressor function, effects of discrete gene dysregulations, as caused by non-coding (epi)genome alterations, are poorly understood. Here, by perturbing the regulatory genome in mice, we uncover pervasive roles of subtle gene expression variation in cancer evolution. Genome-wide screens characterizing 1,450 tumors revealed that such quasi-insufficiency is extensive across entities and displays diverse context dependencies, such as distinct cell-of-origin associations in T-ALL subtypes. We compile catalogs of non-coding regions linked to quasi-insufficiency, show their enrichment with human cancer risk variants, and provide functional insights by engineering regulatory alterations in mice. As such, kilo-/megabase deletions in a Bcl11b-linked non-coding region triggered aggressive malignancies, with allele-specific tumor spectra reflecting gradual gene dysregulations through modular and cell-type-specific enhancer activities. Our study constitutes a first survey toward a systems-level understanding of quasi-insufficiency in cancer and gives multifaceted insights into tumor evolution and the tissue-specific effects of non-coding mutations.
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Affiliation(s)
- Anja Fischer
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Robert Lersch
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Niklas de Andrade Krätzig
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Alexander Strong
- The Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, UK
| | - Mathias J. Friedrich
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
- Department of Medicine II, Klinikum rechts der Isar, School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Julia Weber
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Thomas Engleitner
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Rupert Öllinger
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Hsi-Yu Yen
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Comparative Experimental Pathology, School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Ursula Kohlhofer
- Institute of Pathology and Comprehensive Cancer Center, Eberhard Karls Universität Tübingen, 72076 Tübingen, Germany
| | - Irene Gonzalez-Menendez
- Institute of Pathology and Comprehensive Cancer Center, Eberhard Karls Universität Tübingen, 72076 Tübingen, Germany
| | - David Sailer
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Liz Kogan
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Mari Lahnalampi
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Saara Laukkanen
- Faculty of Medicine and Health Technology, Tampere Center for Child, Adolescent and Maternal Health Research and Tays Cancer Center, Tampere University, Tampere, Finland
| | - Thorsten Kaltenbacher
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Christine Klement
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Majdaddin Rezaei
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Tim Ammon
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
- Institute of Experimental Hematology, TUM School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Juan J. Montero
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Günter Schneider
- Department of Medicine II, Klinikum rechts der Isar, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Julia Mayerle
- Medical Department II, University Hospital, LMU Munich, Munich, Germany
| | - Mathias Heikenwälder
- German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Division of Chronic Inflammation and Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Marc Schmidt-Supprian
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Institute of Experimental Hematology, TUM School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Comprehensive Cancer Center, Eberhard Karls Universität Tübingen, 72076 Tübingen, Germany
| | - Katja Steiger
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Comparative Experimental Pathology, School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Pentao Liu
- The Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, UK
- Li Ka Shing Faculty of Medicine, Stem Cell and Regenerative Medicine Consortium, School of Biomedical Sciences, University of Hong Kong, Hong Kong, China
| | - Juan Cadiñanos
- Instituto de Medicina Oncológica y Molecular de Asturias (IMOMA), 33193 Oviedo, Spain
| | - George S. Vassiliou
- The Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, UK
- Wellcome Trust-MRC Stem Cell Institute, Cambridge Biomedical Campus, University of Cambridge, Cambridge CB2 0XY, UK
- Department of Haematology, Cambridge University Hospitals NHS Trust, Cambridge CB2 0PT, UK
| | - Dieter Saur
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
- Department of Medicine II, Klinikum rechts der Isar, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Institute for Experimental Cancer Therapy, School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Olli Lohi
- Faculty of Medicine and Health Technology, Tampere Center for Child, Adolescent and Maternal Health Research and Tays Cancer Center, Tampere University, Tampere, Finland
| | - Merja Heinäniemi
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Nathalie Conte
- The Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, UK
| | - Allan Bradley
- The Wellcome Trust Sanger Institute, Genome Campus, Hinxton, Cambridge, UK
- Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), University of Cambridge, Puddicombe Way, Cambridge CB2 0AW, UK
| | - Lena Rad
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
- Institute for Experimental Cancer Therapy, School of Medicine, Technische Universität München, 81675 Munich, Germany
| | - Roland Rad
- Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, 81675 Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), School of Medicine, Technische Universität München, 81675 Munich, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Department of Medicine II, Klinikum rechts der Isar, School of Medicine, Technische Universität München, 81675 Munich, Germany
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9
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Tsai HC, Pietrobon V, Peng M, Wang S, Zhao L, Marincola FM, Cai Q. Current strategies employed in the manipulation of gene expression for clinical purposes. J Transl Med 2022; 20:535. [PMID: 36401279 PMCID: PMC9673226 DOI: 10.1186/s12967-022-03747-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 09/29/2022] [Indexed: 11/19/2022] Open
Abstract
Abnormal gene expression level or expression of genes containing deleterious mutations are two of the main determinants which lead to genetic disease. To obtain a therapeutic effect and thus to cure genetic diseases, it is crucial to regulate the host's gene expression and restore it to physiological conditions. With this purpose, several molecular tools have been developed and are currently tested in clinical trials. Genome editing nucleases are a class of molecular tools routinely used in laboratories to rewire host's gene expression. Genome editing nucleases include different categories of enzymes: meganucleses (MNs), zinc finger nucleases (ZFNs), clustered regularly interspaced short palindromic repeats (CRISPR)- CRISPR associated protein (Cas) and transcription activator-like effector nuclease (TALENs). Transposable elements are also a category of molecular tools which includes different members, for example Sleeping Beauty (SB), PiggyBac (PB), Tol2 and TcBuster. Transposons have been used for genetic studies and can serve as gene delivery tools. Molecular tools to rewire host's gene expression also include episomes, which are divided into different categories depending on their molecular structure. Finally, RNA interference is commonly used to regulate gene expression through the administration of small interfering RNA (siRNA), short hairpin RNA (shRNA) and bi-functional shRNA molecules. In this review, we will describe the different molecular tools that can be used to regulate gene expression and discuss their potential for clinical applications. These molecular tools are delivered into the host's cells in the form of DNA, RNA or protein using vectors that can be grouped into physical or biochemical categories. In this review we will also illustrate the different types of payloads that can be used, and we will discuss recent developments in viral and non-viral vector technology.
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Affiliation(s)
| | | | - Maoyu Peng
- Kite Pharma Inc, Santa Monica, CA, 90404, USA
| | - Suning Wang
- Kite Pharma Inc, Santa Monica, CA, 90404, USA
| | - Lihong Zhao
- Kite Pharma Inc, Santa Monica, CA, 90404, USA
| | | | - Qi Cai
- Kite Pharma Inc, Santa Monica, CA, 90404, USA.
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10
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Lalli M, Yen A, Thopte U, Dong F, Moudgil A, Chen X, Milbrandt J, Dougherty JD, Mitra RD. Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes. NAR Genom Bioinform 2022; 4:lqac061. [PMID: 36062164 PMCID: PMC9428926 DOI: 10.1093/nargab/lqac061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/04/2022] [Accepted: 08/24/2022] [Indexed: 11/29/2022] Open
Abstract
Calling cards technology using self-reporting transposons enables the identification of DNA-protein interactions through RNA sequencing. Although immensely powerful, current implementations of calling cards in bulk experiments on populations of cells are technically cumbersome and require many replicates to identify independent insertions into the same genomic locus. Here, we have drastically reduced the cost and labor requirements of calling card experiments in bulk populations of cells by introducing a DNA barcode into the calling card itself. An additional barcode incorporated during reverse transcription enables simultaneous transcriptome measurement in a facile and affordable protocol. We demonstrate that barcoded self-reporting transposons recover in vitro binding sites for four basic helix-loop-helix transcription factors with important roles in cell fate specification: ASCL1, MYOD1, NEUROD2 and NGN1. Further, simultaneous calling cards and transcriptional profiling during transcription factor overexpression identified both binding sites and gene expression changes for two of these factors. Lastly, we demonstrated barcoded calling cards can record binding in vivo in the mouse brain. In sum, RNA-based identification of transcription factor binding sites and gene expression through barcoded self-reporting transposon calling cards and transcriptomes is an efficient and powerful method to infer gene regulatory networks in a population of cells.
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Affiliation(s)
- Matthew Lalli
- Department of Genetics, School of Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA.,Edison Family Center for Genome Sciences and Systems Biology Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA.,Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Allen Yen
- Department of Genetics, School of Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA.,Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Urvashi Thopte
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Fengping Dong
- Department of Genetics, School of Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA.,Edison Family Center for Genome Sciences and Systems Biology Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA
| | - Arnav Moudgil
- Department of Genetics, School of Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA.,Edison Family Center for Genome Sciences and Systems Biology Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA
| | - Xuhua Chen
- Department of Genetics, School of Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA.,Edison Family Center for Genome Sciences and Systems Biology Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA
| | - Jeffrey Milbrandt
- Department of Genetics, School of Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA
| | - Joseph D Dougherty
- Department of Genetics, School of Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA.,Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Robi D Mitra
- Department of Genetics, School of Medicine, Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA.,Edison Family Center for Genome Sciences and Systems Biology Washington University in St. Louis School of Medicine, Saint Louis, MO 63110, USA
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11
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Weishaupt H, Čančer M, Rosén G, Holmberg KO, Häggqvist S, Bunikis I, Jiang Y, Sreedharan S, Gyllensten U, Becher OJ, Uhrbom L, Ameur A, Swartling FJ. Novel cancer gene discovery using a forward genetic screen in RCAS-PDGFB-driven gliomas. Neuro Oncol 2022; 25:97-107. [PMID: 35738865 PMCID: PMC9825320 DOI: 10.1093/neuonc/noac158] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Malignant gliomas, the most common malignant brain tumors in adults, represent a heterogeneous group of diseases with poor prognosis. Retroviruses can cause permanent genetic alterations that modify genes close to the viral integration site. METHODS Here we describe the use of a high-throughput pipeline coupled to the commonly used tissue-specific retroviral RCAS-TVA mouse tumor model system. Utilizing next-generation sequencing, we show that retroviral integration sites can be reproducibly detected in malignant stem cell lines generated from RCAS-PDGFB-driven glioma biopsies. RESULTS A large fraction of common integration sites contained genes that have been dysregulated or misexpressed in glioma. Others overlapped with loci identified in previous glioma-related forward genetic screens, but several novel putative cancer-causing genes were also found. Integrating retroviral tagging and clinical data, Ppfibp1 was highlighted as a frequently tagged novel glioma-causing gene. Retroviral integrations into the locus resulted in Ppfibp1 upregulation, and Ppfibp1-tagged cells generated tumors with shorter latency on orthotopic transplantation. In human gliomas, increased PPFIBP1 expression was significantly linked to poor prognosis and PDGF treatment resistance. CONCLUSIONS Altogether, the current study has demonstrated a novel approach to tagging glioma genes via forward genetics, validating previous results, and identifying PPFIBP1 as a putative oncogene in gliomagenesis.
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Affiliation(s)
| | | | - Gabriela Rosén
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Karl O Holmberg
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Susana Häggqvist
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Ignas Bunikis
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Yiwen Jiang
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Smitha Sreedharan
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Ulf Gyllensten
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Oren J Becher
- Department of Pediatrics and Biochemistry and Molecular Genetics, Northwestern University, Chicago, Illinois, USA,Department of Pediatrics and Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lene Uhrbom
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Adam Ameur
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Fredrik J Swartling
- Corresponding Author: Fredrik J. Swartling, PhD, Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Dag Hammarskjoldsv. 20, SE-751 85 Uppsala, Sweden ()
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12
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Kwon DH, Gim GM, Eom KH, Lee JH, Jang G. Application of transposon systems in the transgenesis of bovine somatic and germ cells. BMC Vet Res 2022; 18:156. [PMID: 35477562 PMCID: PMC9044889 DOI: 10.1186/s12917-022-03252-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 04/14/2022] [Indexed: 12/12/2022] Open
Abstract
Background Several DNA transposons including PiggyBac (PB), Sleeping Beauty (SB), and Tol2 have been applied as effective means for of transgenesis in many species. Cattle are not typically experimental animals, and relatively little verification has been presented on this species. Thus, the goal here was to determine the applicability of three transposon systems in somatic and embryo cells in cattle, while also investigating which of the three systems is appropriate for each cell type. Green fluorescent protein (GFP)-expressing transposon systems were used for electroporation and microinjection in the somatic cells and embryo stage, respectively. After transfection, the GFP-positive cells or blastocysts were observed through fluorescence, while the transfection efficiency was calculated by FACS. Results In bovine somatic cells, the PB (63.97 ± 11.56) showed the highest efficiency of the three systems (SB: 50.74 ± 13.02 and Tol2: 16.55 ± 5.96). Conversely, Tol2 (75.00%) and SB (70.00%) presented a higher tendency in the embryonic cells compared to PB (42.86%). Conclusions These results demonstrate that these three transposon systems can be used in bovine somatic cells and embryos as gene engineering experimental methods. Moreover, they demonstrate which type of transposon system to apply depending on the cell type. Supplementary Information The online version contains supplementary material available at 10.1186/s12917-022-03252-1.
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Affiliation(s)
- Dong-Hyeok Kwon
- Laboratory of Theriogenology, College of Veterinary Medicine, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul, Republic of Korea, 08826.,BK21 PLUS program, College of Veterinary Medicine, Seoul National University, Seoul, 08826, Republic of Korea
| | - Gyeong-Min Gim
- Laboratory of Theriogenology, College of Veterinary Medicine, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul, Republic of Korea, 08826.,BK21 PLUS program, College of Veterinary Medicine, Seoul National University, Seoul, 08826, Republic of Korea
| | - Kyeong-Hyeon Eom
- Laboratory of Theriogenology, College of Veterinary Medicine, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul, Republic of Korea, 08826.,BK21 PLUS program, College of Veterinary Medicine, Seoul National University, Seoul, 08826, Republic of Korea
| | | | - Goo Jang
- Laboratory of Theriogenology, College of Veterinary Medicine, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul, Republic of Korea, 08826. .,BK21 PLUS program, College of Veterinary Medicine, Seoul National University, Seoul, 08826, Republic of Korea. .,LARTBio Inc, Seoul, Republic of Korea.
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13
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Safe and efficient in vivo hematopoietic stem cell transduction in nonhuman primates using HDAd5/35++ vectors. MOLECULAR THERAPY - METHODS & CLINICAL DEVELOPMENT 2022; 24:127-141. [PMID: 35036470 PMCID: PMC8741415 DOI: 10.1016/j.omtm.2021.12.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 12/04/2021] [Indexed: 12/11/2022]
Abstract
We tested a new in vivo hematopoietic stem cell (HSC) transduction/selection approach in rhesus macaques using HSC-tropic, integrating, helper-dependent adenovirus vectors (HDAd5/35++) designed for the expression of human γ-globin in red blood cells (RBCs) to treat hemoglobinopathies. We show that HDAd5/35++ vectors preferentially transduce HSCs in vivo after intravenous injection into granulocyte colony-stimulating factor (G-CSF)/AMD3100-mobilized animals and that transduced cells return to the bone marrow and spleen. The approach was well tolerated, and the activation of proinflammatory cytokines that are usually associated with intravenous adenovirus vector injection was successfully blunted by pre-treatment with dexamethasone in combination with interleukin (IL)-1 and IL-6 receptor blockers. Using our MGMTP140K-based in vivo selection approach, γ-globin+ RBCs increased in all animals with levels up to 90%. After selection, the percentage of γ-globin+ RBCs declined, most likely due to an immune response against human transgene products. Our biodistribution data indicate that γ-globin+ RBCs in the periphery were mostly derived from mobilized HSCs that homed to the spleen. Integration site analysis revealed a polyclonal pattern and no genotoxicity related to transgene integrations. This is the first proof-of-concept study in nonhuman primates to show that in vivo HSC gene therapy could be feasible in humans without the need for high-dose chemotherapy conditioning and HSC transplantation.
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14
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Lin Z, Liu X, Liu T, Gao H, Wang S, Zhu X, Rong L, Cheng J, Cai Z, Xu F, Tan X, Lv L, Li Z, Sun Y, Qian Q. Evaluation of Nonviral piggyBac and lentiviral Vector in Functions of CD19chimeric Antigen Receptor T Cells and Their Antitumor Activity for CD19 + Tumor Cells. Front Immunol 2022; 12:802705. [PMID: 35082789 PMCID: PMC8784881 DOI: 10.3389/fimmu.2021.802705] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 12/14/2021] [Indexed: 11/13/2022] Open
Abstract
Nonviral transposon piggyBac (PB) and lentiviral (LV) vectors have been used to deliver chimeric antigen receptor (CAR) to T cells. To understand the differences in the effects of PB and LV on CAR T-cell functions, a CAR targeting CD19 was cloned into PB and LV vectors, and the resulting pbCAR and lvCAR were delivered to T cells to generate CD19pbCAR and CD19lvCAR T cells. Both CD19CAR T-cell types were strongly cytotoxic and secreted high IFN-γ levels when incubated with Raji cells. TNF-α increased in CD19pbCAR T cells, whereas IL-10 increased in CD19lvCAR T cells. CD19pbCAR and CD19lvCAR T cells showed similar strong anti-tumor activity in Raji cell-induced mouse models, slightly reducing mouse weight while enhancing mouse survival. High, but not low or moderate, concentrations of CD19pbCAR T cells significantly inhibited Raji cell-induced tumor growth in vivo. These CD19pbCAR T cells were distributed mostly in mesenteric lymph nodes, bone marrow of the femur, spleen, kidneys, and lungs, specifically accumulating at CD19-rich sites and CD19-positive tumors, with CAR copy number being increased on day 7. These results indicate that pbCAR has its specific activities and functions in pbCAR T cells, making it a valuable tool for CAR T-cell immunotherapy.
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MESH Headings
- Animals
- Antigens, CD19/genetics
- Antigens, CD19/immunology
- Antigens, CD19/metabolism
- Cell Line, Tumor
- Cells, Cultured
- Cytotoxicity, Immunologic/immunology
- DNA Transposable Elements/genetics
- DNA Transposable Elements/immunology
- Female
- Genetic Vectors/genetics
- Genetic Vectors/immunology
- Humans
- Immunotherapy, Adoptive/methods
- Lentivirus/genetics
- Lentivirus/immunology
- Mice, Inbred NOD
- Mice, Knockout
- Mice, SCID
- Neoplasms/immunology
- Neoplasms/pathology
- Neoplasms/therapy
- Receptors, Chimeric Antigen/genetics
- Receptors, Chimeric Antigen/immunology
- Receptors, Chimeric Antigen/metabolism
- T-Lymphocytes/immunology
- T-Lymphocytes/metabolism
- Tumor Burden/immunology
- Xenograft Model Antitumor Assays/methods
- Mice
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Affiliation(s)
- Zhicai Lin
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Xiangzhen Liu
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Tao Liu
- R&D Department, Nucleotide Center, Shanghai Cell Therapy Group, Shanghai, China
| | - Haixia Gao
- R&D Department, Nucleotide Center, Shanghai Cell Therapy Group, Shanghai, China
| | - Sitong Wang
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Xingli Zhu
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Lijie Rong
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Jingbo Cheng
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Zhigang Cai
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Fu Xu
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Xue Tan
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Linjie Lv
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Zhong Li
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
- Department of Immunotherapy, Shanghai Cell Therapy Research Institute, Shanghai, China
| | - Yan Sun
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
| | - Qijun Qian
- Medical, Cell Product and R&D Department, Center for Cell Pharmaceuticals, Shanghai Cell Therapy Group, Shanghai, China
- Department of Immunotherapy, Shanghai Cell Therapy Research Institute, Shanghai, China
- Shanghai Menchao Cancer Hospital, Shanghai University, Shanghai, China
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15
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Hong CKY, Cohen BA. Genomic environments scale the activities of diverse core promoters. Genome Res 2022; 32:85-96. [PMID: 34961747 PMCID: PMC8744677 DOI: 10.1101/gr.276025.121] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 11/15/2021] [Indexed: 11/24/2022]
Abstract
A classical model of gene regulation is that enhancers provide specificity whereas core promoters provide a modular site for the assembly of the basal transcriptional machinery. However, examples of core promoter specificity have led to an alternate hypothesis in which specificity is achieved by core promoters with different sequence motifs that respond differently to genomic environments containing different enhancers and chromatin landscapes. To distinguish between these models, we measured the activities of hundreds of diverse core promoters in four different genomic locations and, in a complementary experiment, six different core promoters at thousands of locations across the genome. Although genomic locations had large effects on expression, the intrinsic activities of different classes of promoters were preserved across genomic locations, suggesting that core promoters are modular regulatory elements whose activities are independently scaled up or down by different genomic locations. This scaling of promoter activities is nonlinear and depends on the genomic location and the strength of the core promoter. Our results support the classical model of regulation in which diverse core promoter motifs set the intrinsic strengths of core promoters, which are then amplified or dampened by the activities of their genomic environments.
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Affiliation(s)
- Clarice K Y Hong
- The Edison Family Center for Genome Sciences and Systems Biology, School of Medicine, Washington University in St. Louis, Saint Louis, Missouri 63110, USA
- Department of Genetics, School of Medicine, Washington University in St. Louis, Saint Louis, Missouri 63110, USA
| | - Barak A Cohen
- The Edison Family Center for Genome Sciences and Systems Biology, School of Medicine, Washington University in St. Louis, Saint Louis, Missouri 63110, USA
- Department of Genetics, School of Medicine, Washington University in St. Louis, Saint Louis, Missouri 63110, USA
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16
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Vierl F, Kaur M, Götz M. Non-codon Optimized PiggyBac Transposase Induces Developmental Brain Aberrations: A Call for in vivo Analysis. Front Cell Dev Biol 2021; 9:698002. [PMID: 34414186 PMCID: PMC8369470 DOI: 10.3389/fcell.2021.698002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 07/14/2021] [Indexed: 11/13/2022] Open
Abstract
In this perspective article, we briefly review tools for stable gain-of-function expression to explore key fate determinants in embryonic brain development. As the piggyBac transposon system has the highest insert size, a seamless integration of the transposed sequence into the host genome, and can be delivered by transfection avoiding viral vectors causing an immune response, we explored its use in the murine developing forebrain. The original piggyBac transposase PBase or the mouse codon-optimized version mPB and the construct to insert, contained in the piggyBac transposon, were introduced by in utero electroporation at embryonic day 13 into radial glia, the neural stem cells, in the developing dorsal telencephalon, and analyzed 3 or 5 days later. When using PBase, we observed an increase in basal progenitor cells, often accompanied by folding aberrations. These effects were considerably ameliorated when using the piggyBac plasmid together with mPB. While size and strength of the electroporated region was not correlated to the aberrations, integration was essential and the positive correlation to the insert size implicates the frequency of transposition as a possible mechanism. We discuss this in light of the increase in transposing endogenous viral vectors during mammalian phylogeny and their role in neurogenesis and radial glial cells. Most importantly, we aim to alert the users of this system to the phenotypes caused by non-codon optimized PBase application in vivo.
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Affiliation(s)
- Franziska Vierl
- Institute for Stem Cell Research, Helmholtz Zentrum München, Munich, Germany.,Physiological Genomics, Biomedical Center, Ludwig-Maximilians-Universität, Munich, Germany.,Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany
| | - Manpreet Kaur
- Physiological Genomics, Biomedical Center, Ludwig-Maximilians-Universität, Munich, Germany
| | - Magdalena Götz
- Institute for Stem Cell Research, Helmholtz Zentrum München, Munich, Germany.,Physiological Genomics, Biomedical Center, Ludwig-Maximilians-Universität, Munich, Germany.,SyNergy, Munich Cluster for Systems Neurology, Ludwig-Maximilians-Universität, Munich, Germany
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17
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Almojil D, Bourgeois Y, Falis M, Hariyani I, Wilcox J, Boissinot S. The Structural, Functional and Evolutionary Impact of Transposable Elements in Eukaryotes. Genes (Basel) 2021; 12:genes12060918. [PMID: 34203645 PMCID: PMC8232201 DOI: 10.3390/genes12060918] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Revised: 06/04/2021] [Accepted: 06/07/2021] [Indexed: 12/22/2022] Open
Abstract
Transposable elements (TEs) are nearly ubiquitous in eukaryotes. The increase in genomic data, as well as progress in genome annotation and molecular biology techniques, have revealed the vast number of ways mobile elements have impacted the evolution of eukaryotes. In addition to being the main cause of difference in haploid genome size, TEs have affected the overall organization of genomes by accumulating preferentially in some genomic regions, by causing structural rearrangements or by modifying the recombination rate. Although the vast majority of insertions is neutral or deleterious, TEs have been an important source of evolutionary novelties and have played a determinant role in the evolution of fundamental biological processes. TEs have been recruited in the regulation of host genes and are implicated in the evolution of regulatory networks. They have also served as a source of protein-coding sequences or even entire genes. The impact of TEs on eukaryotic evolution is only now being fully appreciated and the role they may play in a number of biological processes, such as speciation and adaptation, remains to be deciphered.
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Affiliation(s)
- Dareen Almojil
- New York University Abu Dhabi, Saadiyat Island, Abu Dhabi P.O. Box 129188, United Arab Emirates; (D.A.); (M.F.); (I.H.); (J.W.)
| | - Yann Bourgeois
- School of Biological Sciences, University of Portsmouth, Portsmouth, UK;
| | - Marcin Falis
- New York University Abu Dhabi, Saadiyat Island, Abu Dhabi P.O. Box 129188, United Arab Emirates; (D.A.); (M.F.); (I.H.); (J.W.)
| | - Imtiyaz Hariyani
- New York University Abu Dhabi, Saadiyat Island, Abu Dhabi P.O. Box 129188, United Arab Emirates; (D.A.); (M.F.); (I.H.); (J.W.)
| | - Justin Wilcox
- New York University Abu Dhabi, Saadiyat Island, Abu Dhabi P.O. Box 129188, United Arab Emirates; (D.A.); (M.F.); (I.H.); (J.W.)
- Center for Genomics and Systems Biology, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Stéphane Boissinot
- New York University Abu Dhabi, Saadiyat Island, Abu Dhabi P.O. Box 129188, United Arab Emirates; (D.A.); (M.F.); (I.H.); (J.W.)
- Center for Genomics and Systems Biology, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi P.O. Box 129188, United Arab Emirates
- Correspondence:
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18
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Takeda H, Jenkins NA, Copeland NG. Identification of cancer driver genes using Sleeping Beauty transposon mutagenesis. Cancer Sci 2021; 112:2089-2096. [PMID: 33783919 PMCID: PMC8177796 DOI: 10.1111/cas.14901] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 03/21/2021] [Accepted: 03/23/2021] [Indexed: 12/17/2022] Open
Abstract
Cancer genome sequencing studies have identified driver genes for a variety of different cancers and helped to understand the genetic landscape of human cancer. It is still challenging, however, to identify cancer driver genes with confidence simply from genetic data alone. In vivo forward genetic screens using Sleeping Beauty (SB) transposon mutagenesis provides another powerful genetic tool for identifying candidate cancer driver genes in wild-type and sensitized mouse tumors. By comparing cancer driver genes identified in human and mouse tumors, cancer driver genes can be identified with additional confidence based upon comparative oncogenomics. This review describes how SB mutagenesis works in mice and focuses on studies that have identified cancer driver genes in the mouse gastrointestinal tract.
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Affiliation(s)
- Haruna Takeda
- Laboratory of Molecular Genetics, National Cancer Center Research Institute, Tokyo, Japan
| | - Nancy A Jenkins
- Laboratory of Molecular Genetics, National Cancer Center Research Institute, Tokyo, Japan
| | - Neal G Copeland
- Genetics Department, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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19
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Bourgeois Y, Ruggiero RP, Hariyani I, Boissinot S. Disentangling the determinants of transposable elements dynamics in vertebrate genomes using empirical evidences and simulations. PLoS Genet 2020; 16:e1009082. [PMID: 33017388 PMCID: PMC7561263 DOI: 10.1371/journal.pgen.1009082] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 10/15/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022] Open
Abstract
The interactions between transposable elements (TEs) and their hosts constitute one of the most profound co-evolutionary processes found in nature. The population dynamics of TEs depends on factors specific to each TE families, such as the rate of transposition and insertional preference, the demographic history of the host and the genomic landscape. How these factors interact has yet to be investigated holistically. Here we are addressing this question in the green anole (Anolis carolinensis) whose genome contains an extraordinary diversity of TEs (including non-LTR retrotransposons, SINEs, LTR-retrotransposons and DNA transposons). We observed a positive correlation between recombination rate and frequency of TEs and densities for LINEs, SINEs and DNA transposons. For these elements, there was a clear impact of demography on TE frequency and abundance, with a loss of polymorphic elements and skewed frequency spectra in recently expanded populations. On the other hand, some LTR-retrotransposons displayed patterns consistent with a very recent phase of intense amplification. To determine how demography, genomic features and intrinsic properties of TEs interact we ran simulations using SLiM3. We determined that i) short TE insertions are not strongly counter-selected, but long ones are, ii) neutral demographic processes, linked selection and preferential insertion may explain positive correlations between average TE frequency and recombination, iii) TE insertions are unlikely to have been massively recruited in recent adaptation. We demonstrate that deterministic and stochastic processes have different effects on categories of TEs and that a combination of empirical analyses and simulations can disentangle these mechanisms.
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Affiliation(s)
- Yann Bourgeois
- School of Biological Sciences, University of Portsmouth, Portsmouth, United Kingdom
- New York University Abu Dhabi, Saadiyat Island Campus, Abu Dhabi, United Arab Emirates
- * E-mail: (YB); (SB)
| | - Robert P. Ruggiero
- New York University Abu Dhabi, Saadiyat Island Campus, Abu Dhabi, United Arab Emirates
- Department of Biology, Southeast Missouri State University, Cape Girardeau, MO, United States of America
| | - Imtiyaz Hariyani
- New York University Abu Dhabi, Saadiyat Island Campus, Abu Dhabi, United Arab Emirates
| | - Stéphane Boissinot
- New York University Abu Dhabi, Saadiyat Island Campus, Abu Dhabi, United Arab Emirates
- * E-mail: (YB); (SB)
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20
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Weber J, Braun CJ, Saur D, Rad R. In vivo functional screening for systems-level integrative cancer genomics. Nat Rev Cancer 2020; 20:573-593. [PMID: 32636489 DOI: 10.1038/s41568-020-0275-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/19/2020] [Indexed: 02/06/2023]
Abstract
With the genetic portraits of all major human malignancies now available, we next face the challenge of characterizing the function of mutated genes, their downstream targets, interactions and molecular networks. Moreover, poorly understood at the functional level are also non-mutated but dysregulated genomes, epigenomes or transcriptomes. Breakthroughs in manipulative mouse genetics offer new opportunities to probe the interplay of molecules, cells and systemic signals underlying disease pathogenesis in higher organisms. Herein, we review functional screening strategies in mice using genetic perturbation and chemical mutagenesis. We outline the spectrum of genetic tools that exist, such as transposons, CRISPR and RNAi and describe discoveries emerging from their use. Genome-wide or targeted screens are being used to uncover genomic and regulatory landscapes in oncogenesis, metastasis or drug resistance. Versatile screening systems support experimentation in diverse genetic and spatio-temporal settings to integrate molecular, cellular or environmental context-dependencies. We also review the combination of in vivo screening and barcoding strategies to study genetic interactions and quantitative cancer dynamics during tumour evolution. These scalable functional genomics approaches are transforming our ability to interrogate complex biological systems.
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Affiliation(s)
- Julia Weber
- Institute of Molecular Oncology and Functional Genomics, TUM School of Medicine, Technische Universität München, Munich, Germany
- Center for Translational Cancer Research (TranslaTUM), TUM School of Medicine, Technische Universität München, Munich, Germany
| | - Christian J Braun
- Institute of Molecular Oncology and Functional Genomics, TUM School of Medicine, Technische Universität München, Munich, Germany
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU Munich, Munich, Germany
- Hopp Children's Cancer Center Heidelberg (KiTZ), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dieter Saur
- Center for Translational Cancer Research (TranslaTUM), TUM School of Medicine, Technische Universität München, Munich, Germany
- Institute of Translational Cancer Research and Experimental Cancer Therapy, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Medicine II, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Roland Rad
- Institute of Molecular Oncology and Functional Genomics, TUM School of Medicine, Technische Universität München, Munich, Germany.
- Center for Translational Cancer Research (TranslaTUM), TUM School of Medicine, Technische Universität München, Munich, Germany.
- Department of Medicine II, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
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21
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Wang H, Georgakopoulou A, Li C, Liu Z, Gil S, Bashyam A, Yannaki E, Anagnostopoulos A, Pande A, Izsvák Z, Papayannopoulou T, Lieber A. Curative in vivo hematopoietic stem cell gene therapy of murine thalassemia using large regulatory elements. JCI Insight 2020; 5:139538. [PMID: 32814708 PMCID: PMC7455141 DOI: 10.1172/jci.insight.139538] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 07/15/2020] [Indexed: 01/05/2023] Open
Abstract
Recently, we demonstrated that hematopoietic stem/progenitor cell (HSPC) mobilization followed by intravenous injection of integrating, helper-dependent adenovirus HDAd5/35++ vectors resulted in efficient transduction of long-term repopulating cells and disease amelioration in mouse models after in vivo selection of transduced HSPCs. Acute innate toxicity associated with HDAd5/35++ injection was controlled by appropriate prophylaxis, making this approach feasible for clinical translation. Our ultimate goal is to use this technically simple in vivo HSPC transduction approach for gene therapy of thalassemia major or sickle cell disease. A cure of these diseases requires high expression levels of the therapeutic protein (γ- or β-globin), which is difficult to achieve with lentivirus vectors because of their genome size limitation not allowing larger regulatory elements to be accommodated. Here, we capitalized on the 35 kb insert capacity of HDAd5/35++ vectors to demonstrate that transcriptional regulatory regions of the β-globin locus with a total length of 29 kb can efficiently be transferred into HSPCs. The in vivo HSPC transduction resulted in stable γ-globin levels in erythroid cells that conferred a complete cure of murine thalassemia intermedia. Notably, this was achieved with a minimal in vivo HSPC selection regimen. Employing large regulatory elements in the context of HDAd5/35++ vectors for in vivo transduction of HSPCs achieved gamma-globin levels in erythroid cells that cured murine thalassemia intermedia.
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Affiliation(s)
- Hongjie Wang
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Aphrodite Georgakopoulou
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA.,Hematology Department, Hematopoietic Stem Cell Transplantation Unit, George Papanicolaou Hospital, Thessaloniki, Greece
| | - Chang Li
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Zhinan Liu
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Sucheol Gil
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA
| | | | - Evangelia Yannaki
- Hematology Department, Hematopoietic Stem Cell Transplantation Unit, George Papanicolaou Hospital, Thessaloniki, Greece
| | - Achilles Anagnostopoulos
- Hematology Department, Hematopoietic Stem Cell Transplantation Unit, George Papanicolaou Hospital, Thessaloniki, Greece
| | - Amit Pande
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Zsuzsanna Izsvák
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | | | - André Lieber
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA.,Department of Pathology, University of Washington, Seattle, Washington, USA
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22
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Moudgil A, Wilkinson MN, Chen X, He J, Cammack AJ, Vasek MJ, Lagunas T, Qi Z, Lalli MA, Guo C, Morris SA, Dougherty JD, Mitra RD. Self-Reporting Transposons Enable Simultaneous Readout of Gene Expression and Transcription Factor Binding in Single Cells. Cell 2020; 182:992-1008.e21. [PMID: 32710817 PMCID: PMC7510185 DOI: 10.1016/j.cell.2020.06.037] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 04/14/2020] [Accepted: 06/23/2020] [Indexed: 12/13/2022]
Abstract
Cellular heterogeneity confounds in situ assays of transcription factor (TF) binding. Single-cell RNA sequencing (scRNA-seq) deconvolves cell types from gene expression, but no technology links cell identity to TF binding sites (TFBS) in those cell types. We present self-reporting transposons (SRTs) and use them in single-cell calling cards (scCC), a novel assay for simultaneously measuring gene expression and mapping TFBS in single cells. The genomic locations of SRTs are recovered from mRNA, and SRTs deposited by exogenous, TF-transposase fusions can be used to map TFBS. We then present scCC, which map SRTs from scRNA-seq libraries, simultaneously identifying cell types and TFBS in those same cells. We benchmark multiple TFs with this technique. Next, we use scCC to discover BRD4-mediated cell-state transitions in K562 cells. Finally, we map BRD4 binding sites in the mouse cortex at single-cell resolution, establishing a new method for studying TF biology in situ.
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Affiliation(s)
- Arnav Moudgil
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Medical Scientist Training Program, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Michael N Wilkinson
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Xuhua Chen
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - June He
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Alexander J Cammack
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Michael J Vasek
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Tomás Lagunas
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Zongtai Qi
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Matthew A Lalli
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Chuner Guo
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Medical Scientist Training Program, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Developmental Biology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Samantha A Morris
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Developmental Biology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Center of Regenerative Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Joseph D Dougherty
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Robi D Mitra
- Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA.
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23
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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: 3.5] [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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24
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A viral toolkit for recording transcription factor-DNA interactions in live mouse tissues. Proc Natl Acad Sci U S A 2020; 117:10003-10014. [PMID: 32300008 DOI: 10.1073/pnas.1918241117] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Transcription factors (TFs) enact precise regulation of gene expression through site-specific, genome-wide binding. Common methods for TF-occupancy profiling, such as chromatin immunoprecipitation, are limited by requirement of TF-specific antibodies and provide only end-point snapshots of TF binding. Alternatively, TF-tagging techniques, in which a TF is fused to a DNA-modifying enzyme that marks TF-binding events across the genome as they occur, do not require TF-specific antibodies and offer the potential for unique applications, such as recording of TF occupancy over time and cell type specificity through conditional expression of the TF-enzyme fusion. Here, we create a viral toolkit for one such method, calling cards, and demonstrate that these reagents can be delivered to the live mouse brain and used to report TF occupancy. Further, we establish a Cre-dependent calling cards system and, in proof-of-principle experiments, show utility in defining cell type-specific TF profiles and recording and integrating TF-binding events across time. This versatile approach will enable unique studies of TF-mediated gene regulation in live animal models.
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25
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Morisaka H, Yoshimi K, Okuzaki Y, Gee P, Kunihiro Y, Sonpho E, Xu H, Sasakawa N, Naito Y, Nakada S, Yamamoto T, Sano S, Hotta A, Takeda J, Mashimo T. CRISPR-Cas3 induces broad and unidirectional genome editing in human cells. Nat Commun 2019; 10:5302. [PMID: 31811138 PMCID: PMC6897959 DOI: 10.1038/s41467-019-13226-x] [Citation(s) in RCA: 93] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 10/29/2019] [Indexed: 12/21/2022] Open
Abstract
Although single-component Class 2 CRISPR systems, such as type II Cas9 or type V Cas12a (Cpf1), are widely used for genome editing in eukaryotic cells, the application of multi-component Class 1 CRISPR has been less developed. Here we demonstrate that type I-E CRISPR mediates distinct DNA cleavage activity in human cells. Notably, Cas3, which possesses helicase and nuclease activity, predominantly triggered several thousand base pair deletions upstream of the 5'-ARG protospacer adjacent motif (PAM), without prominent off-target activity. This Cas3-mediated directional and broad DNA degradation can be used to introduce functional gene knockouts and knock-ins. As an example of potential therapeutic applications, we show Cas3-mediated exon-skipping of the Duchenne muscular dystrophy (DMD) gene in patient-induced pluripotent stem cells (iPSCs). These findings broaden our understanding of the Class 1 CRISPR system, which may serve as a unique genome editing tool in eukaryotic cells distinct from the Class 2 CRISPR system.
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Affiliation(s)
- Hiroyuki Morisaka
- Department of Genome Biology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan
- Department of Dermatology, Kochi Medical School, Kochi University, Kochi, 783-8505, Japan
| | - Kazuto Yoshimi
- Genome Editing Research and Development Center, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan
- Institute of Experimental Animal Sciences, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan
- Division of Animal Genetics, Laboratory Animal Research Center, Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Yuya Okuzaki
- Center for iPS Cell Research and Application (CiRA), Department of Clinical Application, Kyoto University, Kyoto, 606-8507, Japan
| | - Peter Gee
- Center for iPS Cell Research and Application (CiRA), Department of Clinical Application, Kyoto University, Kyoto, 606-8507, Japan
| | - Yayoi Kunihiro
- Genome Editing Research and Development Center, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan
| | - Ekasit Sonpho
- Institute of Experimental Animal Sciences, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan
- Department of Biology, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand
| | - Huaigeng Xu
- Center for iPS Cell Research and Application (CiRA), Department of Clinical Application, Kyoto University, Kyoto, 606-8507, Japan
| | - Noriko Sasakawa
- Center for iPS Cell Research and Application (CiRA), Department of Clinical Application, Kyoto University, Kyoto, 606-8507, Japan
| | - Yuki Naito
- Database Center for Life Science, Mishima, 411-8540, Japan
- National Institute of Genetics, Mishima, 411-8540, Japan
| | - Shinichiro Nakada
- Institute for Advanced Co-Creation Studies, Osaka University, Osaka, 565-0871, Japan
| | - Takashi Yamamoto
- Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Higashi-Hiroshima, 739-8526, Japan
| | - Shigetoshi Sano
- Department of Dermatology, Kochi Medical School, Kochi University, Kochi, 783-8505, Japan
| | - Akitsu Hotta
- Center for iPS Cell Research and Application (CiRA), Department of Clinical Application, Kyoto University, Kyoto, 606-8507, Japan.
| | - Junji Takeda
- Department of Genome Biology, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.
- Research Institute for Microbial Diseases, Osaka University, Osaka, 565-0871, Japan.
| | - Tomoji Mashimo
- Genome Editing Research and Development Center, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.
- Institute of Experimental Animal Sciences, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.
- Division of Animal Genetics, Laboratory Animal Research Center, Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan.
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26
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Yoshimura Y, Yamanishi A, Kamitani T, Kim JS, Takeda J. Generation of targeted homozygosity in the genome of human induced pluripotent stem cells. PLoS One 2019; 14:e0225740. [PMID: 31805151 PMCID: PMC6894808 DOI: 10.1371/journal.pone.0225740] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 11/11/2019] [Indexed: 11/18/2022] Open
Abstract
When loss of heterozygosity (LOH) is correlated with loss or gain of a disease phenotype, it is often necessary to identify which gene or genes are involved. Here, we developed a region-specific LOH-inducing system based on mitotic crossover in human induced pluripotent stem cells (hiPSCs). We first tested our system on chromosome 19. To detect homozygous clones generated by LOH, a positive selection cassette was inserted at the AASV1 locus of chromosome 19. LOHs were generated by the combination of allele-specific double-stranded DNA breaks introduced by CRISPR/Cas9 and suppression of Bloom syndrome (BLM) gene expression by the Tet-Off system. The BLM protein inhibitor ML216 exhibited a similar crossover efficiency and distribution of crossover sites. We next applied this system to the short arm of chromosome 6, where human leukocyte antigen (HLA) loci are located. Genotyping and flow cytometric analysis demonstrated that LOHs associated with chromosomal crossover occurred at the expected positions. Although careful examination of HLA-homozygous hiPSCs generated from parental cells is needed for cancer predisposition and effectiveness of differentiation, they may help to mitigate the current shortcoming of hiPSC-based transplantation related to the immunological differences between the donor and host.
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Affiliation(s)
- Yasuhide Yoshimura
- Department of Genome Biology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- * E-mail: (JT); (YY)
| | - Ayako Yamanishi
- Department of Genome Biology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Tomo Kamitani
- Department of Genome Biology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Jin-Soo Kim
- Center for Genome Engineering, Institute for Basic Science, Seoul, South Korea
| | - Junji Takeda
- Department of Genome Biology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
- * E-mail: (JT); (YY)
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27
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Goudy J, Henley T, Méndez HG, Bressan M. Simplified platform for mosaic in vivo analysis of cellular maturation in the developing heart. Sci Rep 2019; 9:10716. [PMID: 31341189 PMCID: PMC6656758 DOI: 10.1038/s41598-019-47009-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 07/09/2019] [Indexed: 12/25/2022] Open
Abstract
Cardiac cells develop within an elaborate electro-mechanical syncytium that continuously generates and reacts to biophysical force. The complexity of the cellular interactions, hemodynamic stresses, and electrical circuitry within the forming heart present significant challenges for mechanistic research into the cellular dynamics of cardiomyocyte maturation. Simply stated, it is prohibitively difficult to replicate the native electro-mechanical cardiac microenvironment in tissue culture systems favorable to high-resolution cellular/subcellular analysis, and current transgenic models of higher vertebrate heart development are limited in their ability to manipulate and assay the behavior of individual cells. As such, cardiac research currently lacks a simple experimental platform for real-time evaluation of cellular function under conditions that replicate native development. Here we report the design and validation of a rapid, low-cost system for stable in vivo somatic transgenesis that allows for individual cells to be genetically manipulated, tracked, and examined at subcellular resolution within the forming four-chambered heart. This experimental platform has several advantages over current technologies, chief among these being that mosaic cellular perturbations can be conducted without globally altering cardiac function. Consequently, direct analysis of cellular behavior can be interrogated in the absence of the organ level adaptions that often confound data interpretation in germline transgenic model organisms.
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Affiliation(s)
- Julie Goudy
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, USA.,McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Trevor Henley
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, USA.,McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Hernán G Méndez
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, USA
| | - Michael Bressan
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, USA. .,McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, USA.
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28
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Chicaybam L, Abdo L, Carneiro M, Peixoto B, Viegas M, de Sousa P, Fornazin MC, Spago MC, Albertoni Laranjeira AB, de Campos-Lima PO, Nowill A, Barros LRC, Bonamino MH. CAR T Cells Generated UsingSleeping BeautyTransposon Vectors and Expanded with an EBV-Transformed Lymphoblastoid Cell Line Display Antitumor ActivityIn VitroandIn Vivo. Hum Gene Ther 2019; 30:511-522. [DOI: 10.1089/hum.2018.218] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Affiliation(s)
- Leonardo Chicaybam
- Molecular Carcinogenesis Program, National Cancer Institute (INCA), Rio de Janeiro, Brazil
- Vice-Presidency of Research and Biological Collections, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Luiza Abdo
- Molecular Carcinogenesis Program, National Cancer Institute (INCA), Rio de Janeiro, Brazil
| | - Mayra Carneiro
- Molecular Carcinogenesis Program, National Cancer Institute (INCA), Rio de Janeiro, Brazil
| | - Bárbara Peixoto
- Cell Biology Program, National Cancer Institute (INCA), Rio de Janeiro, Brazil
| | - Mariana Viegas
- Molecular Carcinogenesis Program, National Cancer Institute (INCA), Rio de Janeiro, Brazil
| | - Priscila de Sousa
- Molecular Carcinogenesis Program, National Cancer Institute (INCA), Rio de Janeiro, Brazil
| | - Márcia C. Fornazin
- Integrated Center for Oncohematology Research in Infancy, Institute of Biology, University of Campinas (UNICAMP), Campinas, Sao Paulo, Brazil
| | - Maria C. Spago
- Integrated Center for Oncohematology Research in Infancy, Institute of Biology, University of Campinas (UNICAMP), Campinas, Sao Paulo, Brazil
| | | | - Pedro O. de Campos-Lima
- Institute of Molecular and Cellular Engineering, Boldrini Children's Center, Campinas, Sao Paulo, Brazil
- Functional and Molecular Biology Program, Institute of Biology, University of Campinas (UNICAMP), Campinas, Sao Paulo, Brazil
| | - Alexandre Nowill
- Integrated Center for Oncohematology Research in Infancy, Institute of Biology, University of Campinas (UNICAMP), Campinas, Sao Paulo, Brazil
| | | | - Martín H. Bonamino
- Molecular Carcinogenesis Program, National Cancer Institute (INCA), Rio de Janeiro, Brazil
- Vice-Presidency of Research and Biological Collections, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
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29
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Haldeman JM, Conway AE, Arlotto ME, Slentz DH, Muoio DM, Becker TC, Newgard CB. Creation of versatile cloning platforms for transgene expression and dCas9-based epigenome editing. Nucleic Acids Res 2019; 47:e23. [PMID: 30590691 PMCID: PMC6393299 DOI: 10.1093/nar/gky1286] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Revised: 12/11/2018] [Accepted: 12/16/2018] [Indexed: 01/09/2023] Open
Abstract
Genetic manipulation via transgene overexpression, RNAi, or Cas9-based methods is central to biomedical research. Unfortunately, use of these tools is often limited by vector options. We have created a modular platform (pMVP) that allows a gene of interest to be studied in the context of an array of promoters, epitope tags, conditional expression modalities, and fluorescent reporters, packaged in 35 custom destination vectors, including adenovirus, lentivirus, PiggyBac transposon, and Sleeping Beauty transposon, in aggregate >108,000 vector permutations. We also used pMVP to build an epigenetic engineering platform, pMAGIC, that packages multiple gRNAs and either Sa-dCas9 or x-dCas9(3.7) fused to one of five epigenetic modifiers. Importantly, via its compatibility with adenoviral vectors, pMAGIC uniquely enables use of dCas9/LSD1 fusions to interrogate enhancers within primary cells. To demonstrate this, we used pMAGIC to target Sa-dCas9/LSD1 and modify the epigenetic status of a conserved enhancer, resulting in altered expression of the homeobox transcription factor PDX1 and its target genes in pancreatic islets and insulinoma cells. In sum, the pMVP and pMAGIC systems empower researchers to rapidly generate purpose-built, customized vectors for manipulation of gene expression, including via targeted epigenetic modification of regulatory elements in a broad range of disease-relevant cell types.
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Affiliation(s)
- Jonathan M Haldeman
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27701, USA
| | - Amanda E Conway
- Epigenetics & Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Michelle E Arlotto
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA
| | - Dorothy H Slentz
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA
| | - Deborah M Muoio
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27701, USA
- Department of Medicine, Duke University Medical Center, Durham, NC 27701, USA
| | - Thomas C Becker
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA
- Department of Medicine, Duke University Medical Center, Durham, NC 27701, USA
| | - Christopher B Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27701, USA
- Department of Medicine, Duke University Medical Center, Durham, NC 27701, USA
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30
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Abstract
Cancer is a complex disease that originates from genetic changes leading to multiple phenotypic manifestations that ultimately result in suffering and death from cancer. Attempts have been made to define the phenotypic and genetic "hallmarks" of cancer, but many of these "hallmarks" remain descriptive, while the underlying mechanisms responsible for these hallmarks remain elusive. For decades, cancer researchers have been methodically identifying the molecular mechanisms that result in tumor initiation, growth, metastases, and resistance to therapy. Great strides forward have been made and we are entering an era of "precision medicine" with the goal of treating each cancer based on its unique etiology. Increasingly, the decision to use targeted therapies and immunotherapies in the clinic is based on the genotype of the cancer being treated. For example, specific tyrosine kinase inhibitors are only prescribed to patients that express the tyrosine kinase protein on their cancer cells. Likewise, a genetically unstable cancer is predictive for successful immunotherapy. Knowledge of the specific genetic changes that result in overproduction of oncogenes and reduced production of tumor suppressors is crucial for advancing therapeutic options for cancer. The first chapter of this book presents a brief history of cancer gene discovery. In the remaining chapters of this book, we present protocols using in silico, in vitro, and in vivo techniques for identifying genetic drivers of cancer, in the hope that these protocols will be used to increase our knowledge of the molecular mechanisms driving cancer.
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31
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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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32
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Reich DP, Bass BL. Inverted repeat structures are associated with essential and highly expressed genes on C. elegans autosome distal arms. RNA (NEW YORK, N.Y.) 2018; 24:1634-1646. [PMID: 30190375 PMCID: PMC6239182 DOI: 10.1261/rna.067405.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 08/30/2018] [Indexed: 06/08/2023]
Abstract
Complementary sequences in cellular transcripts base-pair to form double-stranded RNA (dsRNA) structures. Because transposon-derived repeats often give rise to self-complementary sequences, dsRNA structures are prevalent in eukaryotic genomes, typically occurring in gene introns and untranslated regions (UTRs). However, the regulatory impact of double-stranded structures within genes is not fully understood. We used three independent methods to define loci in Caenorhabditis elegans predicted to form dsRNA and correlated these structures with patterns of gene expression, gene essentiality, and genome organization. As previously observed, dsRNA loci are enriched on distal arms of C. elegans autosomes, where genes typically show less conservation and lower overall expression. In contrast, we find that dsRNAs are associated with essential genes on autosome arms, and dsRNA-associated genes exhibit higher-than-expected expression and histone modification patterns associated with transcriptional elongation. Genes with significant repetitive sequence content are also highly expressed, and, thus, observed gene expression trends may relate either to dsRNA structures or to repeat content. Our results raise the possibility that as-yet-undescribed mechanisms promote expression of loci that produce dsRNAs, despite their well-characterized roles in gene silencing.
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Affiliation(s)
- Daniel P Reich
- Department of Biochemistry, University of Utah, Salt Lake City, Utah 84112, USA
| | - Brenda L Bass
- Department of Biochemistry, University of Utah, Salt Lake City, Utah 84112, USA
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33
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Ae Park M, Sun Jung H, Slukvin I. Genetic Engineering of Human Pluripotent Stem Cells Using PiggyBac Transposon System. CURRENT PROTOCOLS IN STEM CELL BIOLOGY 2018; 47:e63. [PMID: 30281932 PMCID: PMC6212322 DOI: 10.1002/cpsc.63] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Human pluripotent stem cells (hPSCs) emerged as an important tool to investigate human development and disease. These studies often require genetically engineering hPSCs to stably express a transgene, which remains functional in various hPSC progeny. PiggyBac transposon is a highly effective and technically simple vector system with large cargo space available for permanent gene delivery. This unit describes the use of PiggyBac transposons to genetically engineer hPSCs to introduce conditionally expressed transgene or reporter to effectively monitor gene expression during differentiation. Both methods enable robust generation of stable hPSC lines within 1 month. © 2018 by John Wiley & Sons, Inc.
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Affiliation(s)
- Mi Ae Park
- National Primate Research Center, University of Wisconsin Graduate School, 1220 Capitol Court, Madison, Wisconsin
| | - Ho Sun Jung
- National Primate Research Center, University of Wisconsin Graduate School, 1220 Capitol Court, Madison, Wisconsin
| | - Igor Slukvin
- National Primate Research Center, University of Wisconsin Graduate School, 1220 Capitol Court, Madison, Wisconsin
- Department of Cell and Regenerative Biology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
- Department of Pathology and Laboratory Medicine, University of Wisconsin Medical School, 600 Highland Avenue, Madison, Wisconsin
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34
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Ishikawa K, Kobayashi Y, Wakabayashi Y, Watanabe S, Semba K. A highly sensitive trap vector system for isolating reporter cells and identification of responsive genes. Biol Methods Protoc 2018; 3:bpy003. [PMID: 32161797 PMCID: PMC6994077 DOI: 10.1093/biomethods/bpy003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 03/22/2018] [Accepted: 04/18/2018] [Indexed: 01/03/2023] Open
Abstract
We devised a versatile vector system for efficient isolation of reporter cells responding to a certain condition of interest. This system combines nontoxic GAL4-UAS and piggyBac transposon systems, allowing application to mammalian cells and improved expression of a fluorescent reporter protein for cell sorting. Case studies under conditions of c-MYC gene induction or endoplasmic reticulum (ER) stress with thapsigargin on mouse or human cell lines confirmed easy and efficient isolation of responsive reporter cells. Sequence analyses of the integrated loci of the thapsigargin-responsive clones identified responsive genes including BiP and OSBPL9. OSBPL9 is a novel ER stress-responsive gene and we confirmed that endogenous mRNA expression of OSBPL9 is upregulated by thapsigargin, and is repressed by IRE1α inhibitors, 4μ8C and toyocamycin, but not significantly by a PERK inhibitor, GSK2656157. These results demonstrate that this approach can be used to discover novel genes regulated by any stimuli without the need for microarray analysis, and that it can concomitantly produce reporter cells without identification of stimuli-responsive promoter/enhancer elements. Therefore, this system has a variety of benefits for basic and clinical research.
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Affiliation(s)
- Kosuke Ishikawa
- Japan Biological Informatics Consortium (JBiC), 2-45 Aomi, Koto-ku, Tokyo 135-8073, Japan
| | - Yuta Kobayashi
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan
| | - Yutaro Wakabayashi
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan
| | - Shinya Watanabe
- Translational Research Center, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan
| | - Kentaro Semba
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan.,Translational Research Center, Fukushima Medical University, 1 Hikarigaoka, Fukushima 960-1295, Japan
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35
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Shapiro JA. Living Organisms Author Their Read-Write Genomes in Evolution. BIOLOGY 2017; 6:E42. [PMID: 29211049 PMCID: PMC5745447 DOI: 10.3390/biology6040042] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 11/17/2017] [Accepted: 11/28/2017] [Indexed: 12/18/2022]
Abstract
Evolutionary variations generating phenotypic adaptations and novel taxa resulted from complex cellular activities altering genome content and expression: (i) Symbiogenetic cell mergers producing the mitochondrion-bearing ancestor of eukaryotes and chloroplast-bearing ancestors of photosynthetic eukaryotes; (ii) interspecific hybridizations and genome doublings generating new species and adaptive radiations of higher plants and animals; and, (iii) interspecific horizontal DNA transfer encoding virtually all of the cellular functions between organisms and their viruses in all domains of life. Consequently, assuming that evolutionary processes occur in isolated genomes of individual species has become an unrealistic abstraction. Adaptive variations also involved natural genetic engineering of mobile DNA elements to rewire regulatory networks. In the most highly evolved organisms, biological complexity scales with "non-coding" DNA content more closely than with protein-coding capacity. Coincidentally, we have learned how so-called "non-coding" RNAs that are rich in repetitive mobile DNA sequences are key regulators of complex phenotypes. Both biotic and abiotic ecological challenges serve as triggers for episodes of elevated genome change. The intersections of cell activities, biosphere interactions, horizontal DNA transfers, and non-random Read-Write genome modifications by natural genetic engineering provide a rich molecular and biological foundation for understanding how ecological disruptions can stimulate productive, often abrupt, evolutionary transformations.
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Affiliation(s)
- James A Shapiro
- Department of Biochemistry and Molecular Biology, University of Chicago GCIS W123B, 979 E. 57th Street, Chicago, IL 60637, USA.
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36
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Suzuki JI, Dezawa M, Kitada M. Prolonged but non-permanent expression of a transgene in ependymal cells of adult rats using an adenovirus-mediated transposon gene transfer system. Brain Res 2017; 1675:20-27. [DOI: 10.1016/j.brainres.2017.08.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 08/28/2017] [Accepted: 08/29/2017] [Indexed: 01/08/2023]
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37
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Kawakami T, Mugal CF, Suh A, Nater A, Burri R, Smeds L, Ellegren H. Whole-genome patterns of linkage disequilibrium across flycatcher populations clarify the causes and consequences of fine-scale recombination rate variation in birds. Mol Ecol 2017; 26:4158-4172. [DOI: 10.1111/mec.14197] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2017] [Revised: 05/02/2017] [Accepted: 05/15/2017] [Indexed: 12/17/2022]
Affiliation(s)
- Takeshi Kawakami
- Department of Evolutionary Biology; Evolutionary Biology Centre (EBC); Uppsala University; Uppsala Sweden
- Department of Animal and Plant Sciences; University of Sheffield; Sheffield UK
| | - Carina F. Mugal
- Department of Evolutionary Biology; Evolutionary Biology Centre (EBC); Uppsala University; Uppsala Sweden
| | - Alexander Suh
- Department of Evolutionary Biology; Evolutionary Biology Centre (EBC); Uppsala University; Uppsala Sweden
| | - Alexander Nater
- Department of Evolutionary Biology; Evolutionary Biology Centre (EBC); Uppsala University; Uppsala Sweden
- Department of Evolutionary Biology and Environmental Studies; University of Zurich; Zürich Switzerland
| | - Reto Burri
- Department of Evolutionary Biology; Evolutionary Biology Centre (EBC); Uppsala University; Uppsala Sweden
- Department of Population Ecology; Friedrich Schiller University Jena; Jena Germany
| | - Linnéa Smeds
- Department of Evolutionary Biology; Evolutionary Biology Centre (EBC); Uppsala University; Uppsala Sweden
| | - Hans Ellegren
- Department of Evolutionary Biology; Evolutionary Biology Centre (EBC); Uppsala University; Uppsala Sweden
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