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Cohen PJR, Luquet E, Pletenka J, Leonard A, Warter E, Gurchenkov B, Carrere J, Rieu C, Hardouin J, Moncaubeig F, Lanero M, Quelennec E, Wurtz H, Jamet E, Demarco M, Banal C, Van Liedekerke P, Nassoy P, Feyeux M, Lefort N, Alessandri K. Engineering 3D micro-compartments for highly efficient and scale-independent expansion of human pluripotent stem cells in bioreactors. Biomaterials 2023; 295:122033. [PMID: 36764194 DOI: 10.1016/j.biomaterials.2023.122033] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 12/12/2022] [Accepted: 01/31/2023] [Indexed: 02/05/2023]
Abstract
Human pluripotent stem cells (hPSCs) have emerged as the most promising cellular source for cell therapies. To overcome the scale-up limitations of classical 2D culture systems, suspension cultures have been developed to meet the need for large-scale culture in regenerative medicine. Despite constant improvements, current protocols that use microcarriers or generate cell aggregates only achieve moderate amplification performance. Here, guided by reports showing that hPSCs can self-organize in vitro into cysts reminiscent of the epiblast stage in embryo development, we developed a physio-mimetic approach for hPSC culture. We engineered stem cell niche microenvironments inside microfluidics-assisted core-shell microcapsules. We demonstrate that lumenized three-dimensional colonies significantly improve viability and expansion rates while maintaining pluripotency compared to standard hPSC culture platforms such as 2D cultures, microcarriers, and aggregates. By further tuning capsule size and culture conditions, we scale up this method to industrial-scale stirred tank bioreactors and achieve an unprecedented hPSC amplification rate of 277-fold in 6.5 days. In brief, our findings indicate that our 3D culture system offers a suitable strategy both for basic stem cell biology experiments and for clinical applications.
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Affiliation(s)
- Philippe J R Cohen
- Université Paris Cité, Imagine Institute, IPSC Core Facility, INSERM UMR U1163, F-75015, Paris, France; Treefrog Therapeutics, F-33600, Pessac, France.
| | | | | | | | | | | | | | | | | | | | | | - Eddy Quelennec
- Université Paris Cité, Imagine Institute, IPSC Core Facility, INSERM UMR U1163, F-75015, Paris, France; Treefrog Therapeutics, F-33600, Pessac, France
| | | | | | | | - Celine Banal
- Université Paris Cité, Imagine Institute, IPSC Core Facility, INSERM UMR U1163, F-75015, Paris, France
| | - Paul Van Liedekerke
- Inria Paris & Sorbonne Université LJLL, 2 Rue Simone IFF, F-75012, Paris, France
| | - Pierre Nassoy
- LP2N, Laboratoire Photonique Numérique et Nanosciences, Univ. Bordeaux, F-33400, Talence, France; Institut D'Optique Graduate School & CNRS UMR 5298, F-33400, Talence, France
| | | | - Nathalie Lefort
- Université Paris Cité, Imagine Institute, IPSC Core Facility, INSERM UMR U1163, F-75015, Paris, France
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2
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Ng CK, Belz GT. Innate lymphoid cells: potential targets for cancer therapeutics. Trends Cancer 2023; 9:158-171. [PMID: 36357314 DOI: 10.1016/j.trecan.2022.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 10/07/2022] [Accepted: 10/17/2022] [Indexed: 11/10/2022]
Abstract
Innate lymphoid cells (ILCs) comprise a number of different subsets, including natural killer (NK) cells, ILC1s, ILC2s, ILC3s, and lymphoid tissue-inducer (LTi) cells that express receptors and signaling pathways that are highly responsive to continuously changing microenvironmental cues. In this Review, we highlight the key features of innate cells that define their capacity to respond rapidly to different environments, how this ability can drive both tumor protection (limiting tumor development) or, alternatively, tumor progression, promoting tumor dissemination and resistance to immunotherapy. We discuss how understanding the regulation of ILCs that can detect tumor cells early in a response opens the possibility of exploiting this functional plasticity to develop rational therapeutic strategies to bolster adaptive immune responses and improve patient outcomes.
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Affiliation(s)
- Chun Ki Ng
- The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Gabrielle T Belz
- The University of Queensland Diamantina Institute, Faculty of Medicine, The University of Queensland, Woolloongabba, QLD 4102, Australia.
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3
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Kolluri K, Nazarian T, Ardehali R. Clonal Tracing of Heart Regeneration. J Cardiovasc Dev Dis 2022; 9:141. [PMID: 35621852 PMCID: PMC9145832 DOI: 10.3390/jcdd9050141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 11/18/2022] Open
Abstract
Cardiomyocytes in the adult mammalian heart have a low turnover during homeostasis. After myocardial injury, there is irreversible loss of cardiomyocytes, which results in subsequent scar formation and cardiac remodeling. In order to better understand and characterize the proliferative capacity of cardiomyocytes, in vivo methods have been developed to track their fate during normal development and after injury. Lineage tracing models are of particular interest due to their ability to record cell proliferation events over a long period of time, either during development or in response to a pathological event. This paper reviews two well-studied lineage-tracing, transgenic mouse models-mosaic analysis with double markers and rainbow reporter system.
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Affiliation(s)
- Kamal Kolluri
- Division of Cardiology, Department of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; (K.K.); (T.N.)
| | - Taline Nazarian
- Division of Cardiology, Department of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; (K.K.); (T.N.)
| | - Reza Ardehali
- Division of Cardiology, Department of Internal Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; (K.K.); (T.N.)
- Eli and Edythe Broad Stem Cell Research Center, University of California, Los Angeles, CA 90095, USA
- Molecular, Cellular and Integrative Physiology Graduate Program, University of California, Los Angeles, CA 90095, USA
- Molecular Biology Institute, University of California, Los Angeles, CA 90095, USA
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4
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Multicolor strategies for investigating clonal expansion and tissue plasticity. Cell Mol Life Sci 2022; 79:141. [PMID: 35187598 PMCID: PMC8858928 DOI: 10.1007/s00018-021-04077-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 09/27/2021] [Accepted: 10/14/2021] [Indexed: 12/20/2022]
Abstract
Understanding the generation of complexity in living organisms requires the use of lineage tracing tools at a multicellular scale. In this review, we describe the different multicolor strategies focusing on mouse models expressing several fluorescent reporter proteins, generated by classical (MADM, Brainbow and its multiple derivatives) or acute (StarTrack, CLoNe, MAGIC Markers, iOn, viral vectors) transgenesis. After detailing the multi-reporter genetic strategies that serve as a basis for the establishment of these multicolor mouse models, we briefly mention other animal and cellular models (zebrafish, chicken, drosophila, iPSC) that also rely on these constructs. Then, we highlight practical applications of multicolor mouse models to better understand organogenesis at single progenitor scale (clonal analyses) in the brain and briefly in several other tissues (intestine, skin, vascular, hematopoietic and immune systems). In addition, we detail the critical contribution of multicolor fate mapping strategies in apprehending the fine cellular choreography underlying tissue morphogenesis in several models with a particular focus on brain cytoarchitecture in health and diseases. Finally, we present the latest technological advances in multichannel and in-depth imaging, and automated analyses that enable to better exploit the large amount of data generated from multicolored tissues.
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Hickey SM, Ung B, Bader C, Brooks R, Lazniewska J, Johnson IRD, Sorvina A, Logan J, Martini C, Moore CR, Karageorgos L, Sweetman MJ, Brooks DA. Fluorescence Microscopy-An Outline of Hardware, Biological Handling, and Fluorophore Considerations. Cells 2021; 11:35. [PMID: 35011596 PMCID: PMC8750338 DOI: 10.3390/cells11010035] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 12/21/2021] [Accepted: 12/21/2021] [Indexed: 12/16/2022] Open
Abstract
Fluorescence microscopy has become a critical tool for researchers to understand biological processes at the cellular level. Micrographs from fixed and live-cell imaging procedures feature in a plethora of scientific articles for the field of cell biology, but the complexities of fluorescence microscopy as an imaging tool can sometimes be overlooked or misunderstood. This review seeks to cover the three fundamental considerations when designing fluorescence microscopy experiments: (1) hardware availability; (2) amenability of biological models to fluorescence microscopy; and (3) suitability of imaging agents for intended applications. This review will help equip the reader to make judicious decisions when designing fluorescence microscopy experiments that deliver high-resolution and informative images for cell biology.
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Affiliation(s)
- Shane M. Hickey
- Clinical and Health Sciences, University of South Australia, Adelaide 5000, Australia; (C.B.); (R.B.); (J.L.); (I.R.D.J.); (A.S.); (J.L.); (C.M.); (C.R.M.); (L.K.); (M.J.S.); (D.A.B.)
| | - Ben Ung
- Clinical and Health Sciences, University of South Australia, Adelaide 5000, Australia; (C.B.); (R.B.); (J.L.); (I.R.D.J.); (A.S.); (J.L.); (C.M.); (C.R.M.); (L.K.); (M.J.S.); (D.A.B.)
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6
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Dissecting nephron morphogenesis using kidney organoids from human pluripotent stem cells. Curr Opin Genet Dev 2021; 72:22-29. [PMID: 34781071 DOI: 10.1016/j.gde.2021.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 10/05/2021] [Accepted: 10/17/2021] [Indexed: 11/21/2022]
Abstract
During kidney development the emergence of complex multicellular shapes such as the nephron (the functional unit of the kidney) rely on spatiotemporally coordinated developmental programs. These involve gene regulatory networks, signaling pathways and mechanical forces, that work in concert to shape and form the nephron(s). The generation of kidney organoids from human pluripotent stem cells now represent an unprecedented experimental set up to study these processes. Here we discuss the potential applications of kidney organoids to advance our knowledge of how mechanical forces and cell fate specification spatiotemporally interact to orchestrate nephron patterning and morphogenesis in humans. Progress in innovative techniques for quantifying and perturbing these processes in a controlled manner will be crucial. A mechanistic understanding of the multicellular dynamic processes occurring during nephrogenesis will pave the way to unveil new mechanisms of human kidney disease.
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7
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Lewis SM, Asselin-Labat ML, Nguyen Q, Berthelet J, Tan X, Wimmer VC, Merino D, Rogers KL, Naik SH. Spatial omics and multiplexed imaging to explore cancer biology. Nat Methods 2021; 18:997-1012. [PMID: 34341583 DOI: 10.1038/s41592-021-01203-6] [Citation(s) in RCA: 211] [Impact Index Per Article: 70.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 06/04/2021] [Indexed: 01/19/2023]
Abstract
Understanding intratumoral heterogeneity-the molecular variation among cells within a tumor-promises to address outstanding questions in cancer biology and improve the diagnosis and treatment of specific cancer subtypes. Single-cell analyses, especially RNA sequencing and other genomics modalities, have been transformative in revealing novel biomarkers and molecular regulators associated with tumor growth, metastasis and drug resistance. However, these approaches fail to provide a complete picture of tumor biology, as information on cellular location within the tumor microenvironment is lost. New technologies leveraging multiplexed fluorescence, DNA, RNA and isotope labeling enable the detection of tens to thousands of cancer subclones or molecular biomarkers within their native spatial context. The expeditious growth in these techniques, along with methods for multiomics data integration, promises to yield a more comprehensive understanding of cell-to-cell variation within and between individual tumors. Here we provide the current state and future perspectives on the spatial technologies expected to drive the next generation of research and diagnostic and therapeutic strategies for cancer.
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Affiliation(s)
- Sabrina M Lewis
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Marie-Liesse Asselin-Labat
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia.,Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Quan Nguyen
- Division of Genetics and Genomics, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Jean Berthelet
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.,School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia
| | - Xiao Tan
- Division of Genetics and Genomics, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Verena C Wimmer
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Delphine Merino
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia.,Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.,School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia
| | - Kelly L Rogers
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia. .,Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
| | - Shalin H Naik
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia. .,Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
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8
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Maheden K, Bashth OS, Shakiba N. Evening the playing field: microenvironmental control over stem cell competition during fate programming. Curr Opin Genet Dev 2021; 70:66-75. [PMID: 34153929 DOI: 10.1016/j.gde.2021.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/21/2021] [Accepted: 05/22/2021] [Indexed: 12/26/2022]
Abstract
Recent advancements in cellular engineering, including reprogramming of somatic cells into pluripotent stem cells, have opened the door to a new era of regenerative medicine. Given that cellular decisions are guided by microenvironmental cues, such as secreted factors and interactions with neighbouring cells, reproducible cell manufacturing requires robust control over cell-cell interactions. Cell competition has recently emerged as a previously unknown interaction that plays a significant role in shaping the growth and death dynamics of multicellular stem cell populations, both in vivo and in vitro. Although recent studies have largely focused on exploring how the differential expression of key genes mediate the competitive elimination of some cells, little is known about the impact of the microenvironment on cell competition, despite its critical role in shaping cell fate outcomes. Here, we explore recent findings that have brought cell competition into the spotlight, while dissecting the role of microenvironmental factors for controlling competition in cell fate programming applications.
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Affiliation(s)
- Kieran Maheden
- School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, University of British Columbia, Biomedical Research Centre, 2222 Health Sciences Mall, V6T 1Z3, Vancouver, Canada
| | - Omar S Bashth
- School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, University of British Columbia, Biomedical Research Centre, 2222 Health Sciences Mall, V6T 1Z3, Vancouver, Canada
| | - Nika Shakiba
- School of Biomedical Engineering, Faculty of Applied Science and Faculty of Medicine, University of British Columbia, Biomedical Research Centre, 2222 Health Sciences Mall, V6T 1Z3, Vancouver, Canada.
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9
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Sontayananon N, Redwood C, Davies B, Gehmlich K. Fluorescent PSC-Derived Cardiomyocyte Reporter Lines: Generation Approaches and Their Applications in Cardiovascular Medicine. BIOLOGY 2020; 9:biology9110402. [PMID: 33207727 PMCID: PMC7697758 DOI: 10.3390/biology9110402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 11/09/2020] [Accepted: 11/10/2020] [Indexed: 12/13/2022]
Abstract
Recent advances have made pluripotent stem cell (PSC)-derived cardiomyocytes an attractive option to model both normal and diseased cardiac function at the single-cell level. However, in vitro differentiation yields heterogeneous populations of cardiomyocytes and other cell types, potentially confounding phenotypic analyses. Fluorescent PSC-derived cardiomyocyte reporter systems allow specific cell lineages to be labelled, facilitating cell isolation for downstream applications including drug testing, disease modelling and cardiac regeneration. In this review, the different genetic strategies used to generate such reporter lines are presented with an emphasis on their relative technical advantages and disadvantages. Next, we explore how the fluorescent reporter lines have provided insights into cardiac development and cardiomyocyte physiology. Finally, we discuss how exciting new approaches using PSC-derived cardiomyocyte reporter lines are contributing to progress in cardiac cell therapy with respect to both graft adaptation and clinical safety.
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Affiliation(s)
- Naeramit Sontayananon
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine and British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford OX3 9DU, UK; (N.S.); (C.R.)
| | - Charles Redwood
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine and British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford OX3 9DU, UK; (N.S.); (C.R.)
| | - Benjamin Davies
- Wellcome Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK
- Correspondence: (B.D.); (K.G.)
| | - Katja Gehmlich
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine and British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford OX3 9DU, UK; (N.S.); (C.R.)
- Institute of Cardiovascular Sciences, University of Birmingham, Birmingham B15 2TT, UK
- Correspondence: (B.D.); (K.G.)
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Generation of a p16 Reporter Mouse and Its Use to Characterize and Target p16 high Cells In Vivo. Cell Metab 2020; 32:814-828.e6. [PMID: 32949498 DOI: 10.1016/j.cmet.2020.09.006] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 08/31/2020] [Accepted: 09/03/2020] [Indexed: 12/25/2022]
Abstract
Cell senescence plays a key role in age-associated organ dysfunction, but the in vivo pathogenesis is largely unclear. Here, we generated a p16-CreERT2-tdTomato mouse model to analyze the in vivo characteristics of p16high cells at a single-cell level. We found tdTomato-positive p16high cells detectable in all organs, which were enriched with age. We also found that these cells failed to proliferate and had half-lives ranging from 2.6 to 4.2 months, depending on the tissue examined. Single-cell transcriptomics in the liver and kidneys revealed that p16high cells were present in various cell types, though most dominant in hepatic endothelium and in renal proximal and distal tubule epithelia, and that these cells exhibited heterogeneous senescence-associated phenotypes. Further, elimination of p16high cells ameliorated nonalcoholic steatohepatitis-related hepatic lipidosis and immune cell infiltration. Our new mouse model and single-cell analysis provide a powerful resource to enable the discovery of previously unidentified senescence functions in vivo.
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