1
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Srinivas S, Watanabe T. Establishment of early embryonic lineages and the basic body plan. KAUFMAN’S ATLAS OF MOUSE DEVELOPMENT SUPPLEMENT 2025:67-77. [DOI: 10.1016/b978-0-443-23739-3.00004-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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2
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Bener MB, Slepchenko BM, Inaba M. Asymmetric stem cell division maintains genetic heterogeneity of tissue cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.16.594576. [PMID: 38798517 PMCID: PMC11118488 DOI: 10.1101/2024.05.16.594576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Within a given tissue, the stem cell niche provides the microenvironment for stem cells suitable for their self-renewal. Conceptually, the niche space constrains the size of a stem-cell pool, as the cells sharing the niche compete for its space. It has been suggested that either neutral- or non-neutral-competition of stem cells changes the clone dynamics of stem cells. Theoretically, if the rate of asymmetric division is high, the stem cell competition is limited, thus suppressing clonal expansion. However, the effects of asymmetric division on clone dynamics have never been experimentally tested. Here, using the Drosophila germline stem cell (GSC) system, as a simple model of the in-vivo niche, we examine the effect of division modes (asymmetric or symmetric) on clonal dynamics by combining experimental approaches with mathematical modeling. Our results suggest that the rate of asymmetric division positively correlates with the time a stem cell clone takes to expand. Taken together, our data suggests that asymmetric division is essential for maintaining the genetic variation of stem cells and thus serves as a critical mechanism for safeguarding fertility over the animal age or preventing multiple disorders caused by the clonal expansion of stem cells.
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Affiliation(s)
- Muhammed Burak Bener
- Department of Cell Biology, University of Connecticut School of Medicine, Farmington, CT 06030
| | - Boris M. Slepchenko
- Department of Cell Biology, University of Connecticut School of Medicine, Farmington, CT 06030
- Richard D. Berlin Center for Cell Analysis and Modeling, University of Connecticut School of Medicine, Farmington, CT 06030
| | - Mayu Inaba
- Department of Cell Biology, University of Connecticut School of Medicine, Farmington, CT 06030
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3
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Khandekar A, Ellis SJ. An expanded view of cell competition. Development 2024; 151:dev204212. [PMID: 39560103 DOI: 10.1242/dev.204212] [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: 11/20/2024]
Abstract
Cell competition arises in heterogeneous tissues when neighbouring cells sense their relative fitness and undergo selection. It has been a challenge to define contexts in which cell competition is a physiologically relevant phenomenon and to understand the cellular features that underlie fitness and fitness sensing. Drawing on examples across a range of contexts and length scales, we illuminate molecular and cellular features that could underlie fitness in diverse tissue types and processes to promote and reinforce long-term maintenance of tissue function. We propose that by broadening the scope of how fitness is defined and the circumstances in which cell competition can occur, the field can unlock the potential of cell competition as a lens through which heterogeneity and its role in the fundamental principles of complex tissue organisation can be understood.
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Affiliation(s)
- Ameya Khandekar
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9/Vienna Biocenter 5, 1030, Vienna, Austria
- University of Vienna, Center for Molecular Biology, Department of Microbiology, Immunobiology & Genetics, Dr.-Bohr-Gasse 9, 1030, Vienna, Austria
- Vienna BioCenter PhD Program, Doctoral School of the University of Vienna and Medical University of Vienna, A-1030, Vienna, Austria
| | - Stephanie J Ellis
- Max Perutz Labs, Vienna Biocenter Campus (VBC), Dr.-Bohr-Gasse 9/Vienna Biocenter 5, 1030, Vienna, Austria
- University of Vienna, Center for Molecular Biology, Department of Microbiology, Immunobiology & Genetics, Dr.-Bohr-Gasse 9, 1030, Vienna, Austria
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4
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Falconi J, Strobel K, Djiane A, Lassus P. [Drosophila as a model to study cancer biology]. Bull Cancer 2024; 111:880-892. [PMID: 38960821 DOI: 10.1016/j.bulcan.2024.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/18/2024] [Accepted: 05/03/2024] [Indexed: 07/05/2024]
Abstract
The rising global incidence of cancer makes it the second leading cause of death worldwide. Over the past decades, significant progress has been made in both basic knowledge and the discovery of new therapeutic approaches. However, the complexity of mechanisms related to tumor development requires the use of sophisticated and adapted research tools. Among these, the fruitfly Drosophila melanogaster represents a powerful genetic model with numerous practical and conceptual advantages. Indeed, the conservation of genes implicated in cancer between this insect and mammals places Drosophila as a crucial genetic tool for understanding the fundamental mechanisms governing tumorigenesis and identifying new therapeutic targets. This review aims to describe this original model and demonstrate its relevance for studying cancer biology.
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Affiliation(s)
- Jennifer Falconi
- IRCM, Inserm, ICM, université de Montpellier, Montpellier, France
| | - Katrin Strobel
- IRCM, Inserm, ICM, université de Montpellier, Montpellier, France
| | - Alexandre Djiane
- IRCM, Inserm, ICM, université de Montpellier, Montpellier, France
| | - Patrice Lassus
- IRCM, Inserm U1194, ICM, CNRS, université de Montpellier, 208, rue des Apothicaires, 34298 Montpellier cedex, France.
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5
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Krishnan S, Paul PK, Rodriguez TA. Cell competition and the regulation of protein homeostasis. Curr Opin Cell Biol 2024; 87:102323. [PMID: 38301378 DOI: 10.1016/j.ceb.2024.102323] [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: 10/18/2023] [Revised: 12/20/2023] [Accepted: 01/03/2024] [Indexed: 02/03/2024]
Abstract
The process of embryonic development involves remarkable cellular plasticity, which governs the coordination between cells necessary to build an organism. One role of this plasticity is to ensure that when aberrant cells are eliminated, growth adjustment occurs so that the size of the tissue is maintained. An important regulator of cellular plasticity that ensures cellular cooperation is a fitness-sensing mechanism termed cell competition. During cell competition, cells with defects that lower fitness but do not affect viability, such as those that cause impaired signal transduction, slower cellular growth, mitochondrial dysregulation or impaired protein homeostasis, are killed when surrounded by fitter cells. This is accompanied by the compensatory proliferation of the surviving cells. The underlying factors and mechanisms that demarcate certain cells as less fit than their neighbouring cells and losers of cell competition are still relatively unknown. Recent evidence has pointed to mitochondrial defects and proteotoxic stress as important hallmarks of these loser cells. Here, we review recent advances in this area, focussing on the role of mitochondrial activity and protein homeostasis as major mechanisms determining competitive cell fitness during development and the importance of cell proteostasis in determining cell fitness.
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Affiliation(s)
| | - Pranab K Paul
- National Heart and Lung Institute, Imperial College London, UK
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6
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Cumming T, Levayer R. Toward a predictive understanding of epithelial cell death. Semin Cell Dev Biol 2024; 156:44-57. [PMID: 37400292 DOI: 10.1016/j.semcdb.2023.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/15/2023] [Accepted: 06/22/2023] [Indexed: 07/05/2023]
Abstract
Epithelial cell death is highly prevalent during development and tissue homeostasis. While we have a rather good understanding of the molecular regulators of programmed cell death, especially for apoptosis, we still fail to predict when, where, how many and which specific cells will die in a tissue. This likely relies on the much more complex picture of apoptosis regulation in a tissular and epithelial context, which entails cell autonomous but also non-cell autonomous factors, diverse feedback and multiple layers of regulation of the commitment to apoptosis. In this review, we illustrate this complexity of epithelial apoptosis regulation by describing these different layers of control, all demonstrating that local cell death probability is a complex emerging feature. We first focus on non-cell autonomous factors that can locally modulate the rate of cell death, including cell competition, mechanical input and geometry as well as systemic effects. We then describe the multiple feedback mechanisms generated by cell death itself. We also outline the multiple layers of regulation of epithelial cell death, including the coordination of extrusion and regulation occurring downstream of effector caspases. Eventually, we propose a roadmap to reach a more predictive understanding of cell death regulation in an epithelial context.
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Affiliation(s)
- Tom Cumming
- Department of Developmental and Stem Cell Biology, Institut Pasteur, Université de Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France; Sorbonne Université, Collège Doctoral, F75005 Paris, France
| | - Romain Levayer
- Department of Developmental and Stem Cell Biology, Institut Pasteur, Université de Paris Cité, CNRS UMR 3738, 25 rue du Dr. Roux, 75015 Paris, France.
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7
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Wu J, Kang Y, Luo X, Dai S, Shi Y, Li Z, Tang Z, Chen Z, Zhu R, Yang P, Li Z, Wang H, Chen X, Zhao Z, Ji W, Niu Y. Long-term in vivo chimeric cells tracking in non-human primate. Protein Cell 2024; 15:207-222. [PMID: 37758041 PMCID: PMC10903985 DOI: 10.1093/procel/pwad049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 08/31/2023] [Indexed: 10/03/2023] Open
Abstract
Non-human primates (NHPs) are increasingly used in preclinical trials to test the safety and efficacy of biotechnology therapies. Nonetheless, given the ethical issues and costs associated with this model, it would be highly advantageous to use NHP cellular models in clinical studies. However, developing and maintaining the naïve state of primate pluripotent stem cells (PSCs) remains difficult as does in vivo detection of PSCs, thus limiting biotechnology application in the cynomolgus monkey. Here, we report a chemically defined, xeno-free culture system for culturing and deriving monkey PSCs in vitro. The cells display global gene expression and genome-wide hypomethylation patterns distinct from monkey-primed cells. We also found expression of signaling pathways components that may increase the potential for chimera formation. Crucially for biomedical applications, we were also able to integrate bioluminescent reporter genes into monkey PSCs and track them in chimeric embryos in vivo and in vitro. The engineered cells retained embryonic and extra-embryonic developmental potential. Meanwhile, we generated a chimeric monkey carrying bioluminescent cells, which were able to track chimeric cells for more than 2 years in living animals. Our study could have broad utility in primate stem cell engineering and in utilizing chimeric monkey models for clinical studies.
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Affiliation(s)
- Junmo Wu
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Yu Kang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Xiang Luo
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Shaoxing Dai
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Yuxi Shi
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Zhuoyao Li
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Zengli Tang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Zhenzhen Chen
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Ran Zhu
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Pengpeng Yang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Zifan Li
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Hong Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Xinglong Chen
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Ziyi Zhao
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Weizhi Ji
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
| | - Yuyu Niu
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, China
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming 650500, China
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8
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Malaguti M, Lebek T, Blin G, Lowell S. Enabling neighbour labelling: using synthetic biology to explore how cells influence their neighbours. Development 2024; 151:dev201955. [PMID: 38165174 PMCID: PMC10820747 DOI: 10.1242/dev.201955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/28/2023] [Indexed: 01/03/2024]
Abstract
Cell-cell interactions are central to development, but exploring how a change in any given cell relates to changes in the neighbour of that cell can be technically challenging. Here, we review recent developments in synthetic biology and image analysis that are helping overcome this problem. We highlight the opportunities presented by these advances and discuss opportunities and limitations in applying them to developmental model systems.
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Affiliation(s)
- Mattias Malaguti
- Centre for Regenerative Medicine, Institute for Stem Cell Research, School of Biological Sciences, University of Edinburgh, 5 Little France Drive, Edinburgh EH16 4UU, UK
| | - Tamina Lebek
- Centre for Regenerative Medicine, Institute for Stem Cell Research, School of Biological Sciences, University of Edinburgh, 5 Little France Drive, Edinburgh EH16 4UU, UK
| | - Guillaume Blin
- Centre for Regenerative Medicine, Institute for Stem Cell Research, School of Biological Sciences, University of Edinburgh, 5 Little France Drive, Edinburgh EH16 4UU, UK
| | - Sally Lowell
- Centre for Regenerative Medicine, Institute for Stem Cell Research, School of Biological Sciences, University of Edinburgh, 5 Little France Drive, Edinburgh EH16 4UU, UK
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9
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Nakai K, Lin H, Yamano S, Tanaka S, Kitamoto S, Saitoh H, Sakuma K, Kurauchi J, Akter E, Konno M, Ishibashi K, Kamata R, Ohashi A, Koseki J, Takahashi H, Yokoyama H, Shiraki Y, Enomoto A, Abe S, Hayakawa Y, Ushiku T, Mutoh M, Fujita Y, Kon S. Wnt activation disturbs cell competition and causes diffuse invasion of transformed cells through NF-κB-MMP21 pathway. Nat Commun 2023; 14:7048. [PMID: 37923722 PMCID: PMC10624923 DOI: 10.1038/s41467-023-42774-6] [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: 12/14/2022] [Accepted: 10/20/2023] [Indexed: 11/06/2023] Open
Abstract
Normal epithelial cells exert their competitive advantage over RasV12-transformed cells and eliminate them into the apical lumen via cell competition. However, the internal or external factors that compromise cell competition and provoke carcinogenesis remain elusive. In this study, we examine the effect of sequential accumulation of gene mutations, mimicking multi-sequential carcinogenesis on RasV12-induced cell competition in intestinal epithelial tissues. Consequently, we find that the directionality of RasV12-cell extrusion in Wnt-activated epithelia is reversed, and transformed cells are delaminated into the basal lamina via non-cell autonomous MMP21 upregulation. Subsequently, diffusively infiltrating, transformed cells develop into highly invasive carcinomas. The elevated production of MMP21 is elicited partly through NF-κB signaling, blockage of which restores apical elimination of RasV12 cells. We further demonstrate that the NF-κB-MMP21 axis is significantly bolstered in early colorectal carcinoma in humans. Collectively, this study shows that cells with high mutational burdens exploit cell competition for their benefit by behaving as unfit cells, endowing them with an invasion advantage.
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Affiliation(s)
- Kazuki Nakai
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Hancheng Lin
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Shotaro Yamano
- Japan Bioassay Research Center, Japan Organization of Occupational Health and Safety, Kanagawa, 257-0015, Japan
| | - Shinya Tanaka
- Department of Molecular Oncology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8501, Japan
| | - Sho Kitamoto
- Division of Microbiology and Immunology, The WPI Immunology Frontier Research Center (IFReC), Osaka University, Osaka, 565-0871, Japan
| | - Hitoshi Saitoh
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, 277-8577, Japan
| | - Kenta Sakuma
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Junpei Kurauchi
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Eilma Akter
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Masamitsu Konno
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan
| | - Kojiro Ishibashi
- Division of Tumor Cell Biology and Bioimaging, Cancer Research Institute, Kanazawa University, Kakuma-Machi, Kanazawa, 920-1192, Japan
| | - Ryo Kamata
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, 277-8577, Japan
| | - Akihiro Ohashi
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, 277-8577, Japan
| | - Jun Koseki
- Division of Systems Biology, Nagoya University Graduate School of Medicine, Nagoya, 466-8550, Japan
| | - Hirotaka Takahashi
- Division of Cell-Free Sciences, Proteo-Science Center, Ehime University, Matsuyama, 790-8577, Japan
| | - Hideshi Yokoyama
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda, Chiba, 278-8510, Japan
| | - Yukihiro Shiraki
- Department of Pathology, Nagoya University Hospital, Nagoya, 466-8550, Japan
| | - Atsushi Enomoto
- Department of Pathology, Nagoya University Hospital, Nagoya, 466-8550, Japan
| | - Sohei Abe
- Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, Tokyo, 113-8655, Japan
| | - Yoku Hayakawa
- Department of Gastroenterology, Graduate School of Medicine, University of Tokyo, Tokyo, 113-8655, Japan
| | - Tetsuo Ushiku
- Department of Pathology, Graduate School of Medicine, University of Tokyo, Tokyo, 113-8655, Japan
| | - Michihiro Mutoh
- Department of Molecular-Targeting Prevention, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Yasuyuki Fujita
- Department of Molecular Oncology, Graduate School of Medicine, Kyoto University, Kyoto, 606-8501, Japan
| | - Shunsuke Kon
- Division of Cancer Biology, Research Institute for Biomedical Sciences, Tokyo University of Science, Noda, Chiba, 278-0022, Japan.
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10
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Osnato A, Pasque V, David L. The human embryo selection arena is associated with transposable element activity. PLoS Biol 2023; 21:e3002153. [PMID: 37348048 DOI: 10.1371/journal.pbio.3002153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/24/2023] Open
Abstract
Our current understanding of early human development is limited. A study in PLOS Biology found a previously undefined group of cells that diverges from the main lineages and undergo apoptosis through the activity of young transposable elements.
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Affiliation(s)
- Anna Osnato
- KU Leuven-University of Leuven, Department of Development and Regeneration, Leuven Stem Cell Institute, Leuven, Belgium
- KU Leuven Institute for Single Cell Omics (LISCO), Leuven, Belgium
| | - Vincent Pasque
- KU Leuven-University of Leuven, Department of Development and Regeneration, Leuven Stem Cell Institute, Leuven, Belgium
- KU Leuven Institute for Single Cell Omics (LISCO), Leuven, Belgium
| | - Laurent David
- Nantes Université, Inserm, CR2TI, Nantes, France
- Nantes Université, CHU Nantes, CNRS, Inserm, BioCore, Nantes, France
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11
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Sun XL, Chen ZH, Guo X, Wang J, Ge M, Wong SZH, Wang T, Li S, Yao M, Johnston LA, Wu QF. Stem cell competition driven by the Axin2-p53 axis controls brain size during murine development. Dev Cell 2023; 58:744-759.e11. [PMID: 37054704 DOI: 10.1016/j.devcel.2023.03.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 01/08/2023] [Accepted: 03/20/2023] [Indexed: 04/15/2023]
Abstract
Cell competition acts as a quality-control mechanism that eliminates cells less fit than their neighbors to optimize organ development. Whether and how competitive interactions occur between neural progenitor cells (NPCs) in the developing brain remains unknown. Here, we show that endogenous cell competition occurs and intrinsically correlates with the Axin2 expression level during normal brain development. Induction of genetic mosaicism predisposes Axin2-deficient NPCs to behave as "losers" in mice and undergo apoptotic elimination, but homogeneous ablation of Axin2 does not promote cell death. Mechanistically, Axin2 suppresses the p53 signaling pathway at the post-transcriptional level to maintain cell fitness, and Axin2-deficient cell elimination requires p53-dependent signaling. Furthermore, mosaic Trp53 deletion confers a "winner" status to p53-deficient cells that outcompete their neighbors. Conditional loss of both Axin2 and Trp53 increases cortical area and thickness, suggesting that the Axin2-p53 axis may coordinate to survey cell fitness, regulate natural cell competition, and optimize brain size during neurodevelopment.
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Affiliation(s)
- Xue-Lian Sun
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | - Zhen-Hua Chen
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | - Xize Guo
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | - Jingjing Wang
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Mengmeng Ge
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Samuel Zheng Hao Wong
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ting Wang
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | - Si Li
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | - Mingze Yao
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China
| | - Laura A Johnston
- Department of Genetics and Development, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
| | - Qing-Feng Wu
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China; Beijing Children's Hospital, Capital Medical University, Beijing 100045, China; Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing 100101, China.
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12
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Abstract
Organ development and homeostasis involve dynamic interactions between individual cells that collectively regulate tissue architecture and function. To ensure the highest tissue fidelity, equally fit cell populations are continuously renewed by stochastic replacement events, while cells perceived as less fit are actively removed by their fitter counterparts. This renewal is mediated by surveillance mechanisms that are collectively known as cell competition. Recent studies have revealed that cell competition has roles in most, if not all, developing and adult tissues. They have also established that cell competition functions both as a tumour-suppressive mechanism and as a tumour-promoting mechanism, thereby critically influencing cancer initiation and development. This Review discusses the latest insights into the mechanisms of cell competition and its different roles during embryonic development, homeostasis and cancer.
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13
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Busby L, Saunders D, Serrano Nájera G, Steventon B. Quantitative Experimental Embryology: A Modern Classical Approach. J Dev Biol 2022; 10:44. [PMID: 36278549 PMCID: PMC9624316 DOI: 10.3390/jdb10040044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/04/2022] [Accepted: 10/11/2022] [Indexed: 11/17/2022] Open
Abstract
Experimental Embryology is often referred to as a classical approach of developmental biology that has been to some extent replaced by the introduction of molecular biology and genetic techniques to the field. Inspired by the combination of this approach with advanced techniques to uncover core principles of neural crest development by the laboratory of Roberto Mayor, we review key quantitative examples of experimental embryology from recent work in a broad range of developmental biology questions. We propose that quantitative experimental embryology offers essential ways to explore the reaction of cells and tissues to targeted cell addition, removal, and confinement. In doing so, it is an essential methodology to uncover principles of development that remain elusive such as pattern regulation, scaling, and self-organisation.
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