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Taherian Fard A, Leeson HC, Aguado J, Pietrogrande G, Power D, Gómez-Inclán C, Zheng H, Nelson CB, Soheilmoghaddam F, Glass N, Dharmaratne M, Watson ER, Lu J, Martin S, Pickett HA, Cooper-White J, Wolvetang EJ, Mar JC. Deconstructing heterogeneity of replicative senescence in human mesenchymal stem cells at single cell resolution. GeroScience 2024; 46:999-1015. [PMID: 37314668 PMCID: PMC10828319 DOI: 10.1007/s11357-023-00829-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 05/15/2023] [Indexed: 06/15/2023] Open
Abstract
Following prolonged cell division, mesenchymal stem cells enter replicative senescence, a state of permanent cell cycle arrest that constrains the use of this cell type in regenerative medicine applications and that in vivo substantially contributes to organismal ageing. Multiple cellular processes such as telomere dysfunction, DNA damage and oncogene activation are implicated in promoting replicative senescence, but whether mesenchymal stem cells enter different pre-senescent and senescent states has remained unclear. To address this knowledge gap, we subjected serially passaged human ESC-derived mesenchymal stem cells (esMSCs) to single cell profiling and single cell RNA-sequencing during their progressive entry into replicative senescence. We found that esMSC transitioned through newly identified pre-senescent cell states before entering into three different senescent cell states. By deconstructing this heterogeneity and temporally ordering these pre-senescent and senescent esMSC subpopulations into developmental trajectories, we identified markers and predicted drivers of these cell states. Regulatory networks that capture connections between genes at each timepoint demonstrated a loss of connectivity, and specific genes altered their gene expression distributions as cells entered senescence. Collectively, this data reconciles previous observations that identified different senescence programs within an individual cell type and should enable the design of novel senotherapeutic regimes that can overcome in vitro MSC expansion constraints or that can perhaps slow organismal ageing.
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Affiliation(s)
- Atefeh Taherian Fard
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Hannah C Leeson
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Julio Aguado
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Giovanni Pietrogrande
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Dominique Power
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Cecilia Gómez-Inclán
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Huiwen Zheng
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Christopher B Nelson
- Children's Medical Research Institute, University of Sydney, Westmead, Sydney, NSW, Australia
| | - Farhad Soheilmoghaddam
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
- School of Chemical Engineering, Faculty of Engineering, Architecture and Information Technology, The University of Queensland, St Lucia, Australia
| | - Nick Glass
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Malindrie Dharmaratne
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Ebony R Watson
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Jennifer Lu
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
| | - Sally Martin
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
- School of Biomedical Sciences, Faculty of Medicine, University of Queensland, St Lucia, QLD, Australia
| | - Hilda A Pickett
- Children's Medical Research Institute, University of Sydney, Westmead, Sydney, NSW, Australia
| | - Justin Cooper-White
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia
- School of Chemical Engineering, Faculty of Engineering, Architecture and Information Technology, The University of Queensland, St Lucia, Australia
| | - Ernst J Wolvetang
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
| | - Jessica C Mar
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Australia.
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Determinants of Zika virus host tropism uncovered by deep mutational scanning. Nat Microbiol 2019; 4:876-887. [PMID: 30886357 DOI: 10.1038/s41564-019-0399-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 02/01/2019] [Indexed: 01/01/2023]
Abstract
Arboviruses cycle between, and replicate in, both invertebrate and vertebrate hosts, which for Zika virus (ZIKV) involves Aedes mosquitoes and primates1. The viral determinants required for replication in such obligate hosts are under strong purifying selection during natural virus evolution, making it challenging to resolve which determinants are optimal for viral fitness in each host. Herein we describe a deep mutational scanning (DMS) strategy2-5 whereby a viral cDNA library was constructed containing all codon substitutions in the C-terminal 204 amino acids of ZIKV envelope protein (E). The cDNA library was transfected into C6/36 (Aedes) and Vero (primate) cells, with subsequent deep sequencing and computational analyses of recovered viruses showing that substitutions K316Q and S461G, or Q350L and T397S, conferred substantial replicative advantages in mosquito and primate cells, respectively. A 316Q/461G virus was constructed and shown to be replication-defective in mammalian cells due to severely compromised virus particle formation and secretion. The 316Q/461G virus was also highly attenuated in human brain organoids, and illustrated utility as a vaccine in mice. This approach can thus imitate evolutionary selection in a matter of days and identify amino acids key to the regulation of virus replication in specific host environments.
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Ovchinnikov DA, Korn O, Virshup I, Wells CA, Wolvetang EJ. The Impact of APP on Alzheimer-like Pathogenesis and Gene Expression in Down Syndrome iPSC-Derived Neurons. Stem Cell Reports 2018; 11:32-42. [PMID: 29861166 PMCID: PMC6066957 DOI: 10.1016/j.stemcr.2018.05.004] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 05/03/2018] [Accepted: 05/04/2018] [Indexed: 12/17/2022] Open
Abstract
Early-onset Alzheimer disease (AD)-like pathology in Down syndrome is commonly attributed to an increased dosage of the amyloid precursor protein (APP) gene. To test this in an isogenic human model, we deleted the supernumerary copy of the APP gene in trisomic Down syndrome induced pluripotent stem cells or upregulated APP expression in euploid human pluripotent stem cells using CRISPRa. Cortical neuronal differentiation shows that an increased APP gene dosage is responsible for increased β-amyloid production, altered Aβ42/40 ratio, and deposition of the pyroglutamate (E3)-containing amyloid aggregates, but not for several tau-related AD phenotypes or increased apoptosis. Transcriptome comparisons demonstrate that APP has a widespread and temporally modulated impact on neuronal gene expression. Collectively, these data reveal an important role for APP in the amyloidogenic aspects of AD but challenge the idea that increased APP levels are solely responsible for increasing specific phosphorylated forms of tau or enhanced neuronal cell death in Down syndrome-associated AD pathogenesis.
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Affiliation(s)
- Dmitry A Ovchinnikov
- Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, QLD 4072, Australia
| | - Othmar Korn
- Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, QLD 4072, Australia
| | - Isaac Virshup
- Centre for Stem Cell Systems, MDHS, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Christine A Wells
- Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, QLD 4072, Australia; Centre for Stem Cell Systems, MDHS, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Ernst J Wolvetang
- Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, QLD 4072, Australia.
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