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Pietrogrande G, Shaker MR, Stednitz SJ, Soheilmoghaddam F, Aguado J, Morrison SD, Zambrano S, Tabassum T, Javed I, Cooper-White J, Davis TP, O'Brien TJ, Scott EK, Wolvetang EJ. Valproic acid-induced teratogenicity is driven by senescence and prevented by Rapamycin in human spinal cord and animal models. Mol Psychiatry 2024:10.1038/s41380-024-02732-0. [PMID: 39227432 DOI: 10.1038/s41380-024-02732-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 08/21/2024] [Accepted: 08/27/2024] [Indexed: 09/05/2024]
Abstract
Valproic acid (VPA) is an effective and widely used anti-seizure medication but is teratogenic when used during pregnancy, affecting brain and spinal cord development for reasons that remain largely unclear. Here we designed a genetic recombinase-based SOX10 reporter system in human pluripotent stem cells that enables tracking and lineage tracing of Neural Crest cells (NCCs) in a human organoid model of the developing neural tube. We found that VPA induces extensive cellular senescence and promotes mesenchymal differentiation of human NCCs. We next show that the clinically approved drug Rapamycin inhibits senescence and restores aberrant NCC differentiation trajectory after VPA exposure in human organoids and in developing zebrafish, highlighting the therapeutic promise of this approach. Finally, we identify the pioneer factor AP1 as a key element of this process. Collectively our data reveal cellular senescence as a central driver of VPA-associated neurodevelopmental teratogenicity and identifies a new pharmacological strategy for prevention. These results exemplify the power of genetically modified human stem cell-derived organoid models for drug discovery.
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Affiliation(s)
- Giovanni Pietrogrande
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia.
| | - Mohammed R Shaker
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia
| | - Sarah J Stednitz
- Department of Anatomy & Physiology, University of Melbourne, Parkville, VIC, Australia
| | - Farhad Soheilmoghaddam
- School of Chemical Engineering, University of Queensland, St. Lucia, QLD, 4072, Australia
| | - Julio Aguado
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia
| | - Sean D Morrison
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia
| | - Samuel Zambrano
- School of Medicine, Vita-Salute San Raffaele University, Milan, 20132, Italy
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan, 20132, Italy
| | - Tahmina Tabassum
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia
| | - Ibrahim Javed
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia
| | - Justin Cooper-White
- School of Chemical Engineering, University of Queensland, St. Lucia, QLD, 4072, Australia
| | - Thomas P Davis
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia
| | - Terence J O'Brien
- Department of Neuroscience, The Central Clinical School, Alfred Health, Monash University, Melbourne, VIC, Australia
- The Departments of Medicine and Neurology, The Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia
| | - Ethan K Scott
- Department of Anatomy & Physiology, University of Melbourne, Parkville, VIC, Australia
- Queensland Brain Institute, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia
| | - Ernst J Wolvetang
- Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia
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2
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Zheng X, Betjes MA, Ender P, Goos YJ, Huelsz-Prince G, Clevers H, van Zon JS, Tans SJ. Organoid cell fate dynamics in space and time. SCIENCE ADVANCES 2023; 9:eadd6480. [PMID: 37595032 PMCID: PMC10438469 DOI: 10.1126/sciadv.add6480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 07/20/2023] [Indexed: 08/20/2023]
Abstract
Organoids are a major new tool to study tissue renewal. However, characterizing the underlying differentiation dynamics remains challenging. Here, we developed TypeTracker, which identifies cell fates by AI-enabled cell tracking and propagating end point fates back along the branched lineage trees. Cells that ultimately migrate to the villus commit to their new type early, when still deep inside the crypt, with important consequences: (i) Secretory cells commit before terminal division, with secretory fates emerging symmetrically in sister cells. (ii) Different secretory types descend from distinct stem cell lineages rather than an omnipotent secretory progenitor. (iii) The ratio between secretory and absorptive cells is strongly affected by proliferation after commitment. (iv) Spatial patterning occurs after commitment through type-dependent cell rearrangements. This "commit-then-sort" model contrasts with the conventional conveyor belt picture, where cells differentiate by moving up the crypt-villus axis and hence raises new questions about the underlying commitment and sorting mechanisms.
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Affiliation(s)
| | | | | | | | | | - Hans Clevers
- Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, Uppsalalaan 8, Utrecht 3584 CT, Netherlands
| | | | - Sander J Tans
- Bionanoscience Department, Kavli Institute of Nanoscience Delft, Delft University of Technology, Delft, Netherlands
- AMOLF, Amsterdam, Netherlands.
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Hradecka L, Wiesner D, Sumbal J, Koledova ZS, Maska M. Segmentation and Tracking of Mammary Epithelial Organoids in Brightfield Microscopy. IEEE TRANSACTIONS ON MEDICAL IMAGING 2023; 42:281-290. [PMID: 36170389 DOI: 10.1109/tmi.2022.3210714] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
We present an automated and deep-learning-based workflow to quantitatively analyze the spatiotemporal development of mammary epithelial organoids in two-dimensional time-lapse (2D+t) sequences acquired using a brightfield microscope at high resolution. It involves a convolutional neural network (U-Net), purposely trained using computer-generated bioimage data created by a conditional generative adversarial network (pix2pixHD), to infer semantic segmentation, adaptive morphological filtering to identify organoid instances, and a shape-similarity-constrained, instance-segmentation-correcting tracking procedure to reliably cherry-pick the organoid instances of interest in time. By validating it using real 2D+t sequences of mouse mammary epithelial organoids of morphologically different phenotypes, we clearly demonstrate that the workflow achieves reliable segmentation and tracking performance, providing a reproducible and laborless alternative to manual analyses of the acquired bioimage data.
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Tan Z, Hung SW, Zheng X, Wang CC, Chung JPW, Zhang T. What We Have Learned from Animal Models to Understand the Etiology and Pathology of Endometrioma-Related Infertility. Biomedicines 2022; 10:biomedicines10071483. [PMID: 35884788 PMCID: PMC9313443 DOI: 10.3390/biomedicines10071483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/16/2022] [Accepted: 06/20/2022] [Indexed: 11/16/2022] Open
Abstract
Endometrioma (OMA) is the most common subtype of endometriosis, in which the endometriotic lesions are implanted in the ovary. Women with OMA are usually associated with infertility, presenting with reduced ovarian reserve, low oocyte quantity and quality, and poor fertility outcomes. However, the underlying pathological mechanisms in OMA-related infertility are still unclear. Due to the limitations and ethical issues of human studies in reproduction, animal models that recapitulate OMA characteristics and its related infertility are critical for mechanistic studies and subsequent drug development, preclinical testing, and clinical trials. This review summarized the investigations of OMA-related infertility based on previous and latest endometrioma models, providing the possible pathogenesis and potential therapeutic targets for further studies.
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Affiliation(s)
- Zhouyurong Tan
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong; (Z.T.); (S.-W.H.); (X.Z.); (C.-C.W.); (J.P.-W.C.)
| | - Sze-Wan Hung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong; (Z.T.); (S.-W.H.); (X.Z.); (C.-C.W.); (J.P.-W.C.)
| | - Xu Zheng
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong; (Z.T.); (S.-W.H.); (X.Z.); (C.-C.W.); (J.P.-W.C.)
| | - Chi-Chiu Wang
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong; (Z.T.); (S.-W.H.); (X.Z.); (C.-C.W.); (J.P.-W.C.)
- Reproduction and Development, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong
- Sichuan University-Chinese University of Hong Kong Joint Laboratory in Reproductive Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Jacqueline Pui-Wah Chung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong; (Z.T.); (S.-W.H.); (X.Z.); (C.-C.W.); (J.P.-W.C.)
| | - Tao Zhang
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong; (Z.T.); (S.-W.H.); (X.Z.); (C.-C.W.); (J.P.-W.C.)
- Correspondence: ; Tel.: +852-3505-3099
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Quaranta V, Linkous A. Organoids as a Systems Platform for SCLC Brain Metastasis. Front Oncol 2022; 12:881989. [PMID: 35574308 PMCID: PMC9096159 DOI: 10.3389/fonc.2022.881989] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/04/2022] [Indexed: 12/18/2022] Open
Abstract
Small Cell Lung Cancer (SCLC) is a highly aggressive, neuroendocrine tumor. Traditional reductionist approaches have proven ineffective to ameliorate the uniformly dismal outcomes for SCLC - survival at 5 years remains less than 5%. A major obstacle to improving treatment is that SCLC tumor cells disseminate early, with a strong propensity for metastasizing to the brain. Accumulating evidence indicates that, contrary to previous textbook knowledge, virtually every SCLC tumor is comprised of multiple subtypes. Important questions persist regarding the role that this intra-tumor subtype heterogeneity may play in supporting the invasive properties of SCLC. A recurrent hypothesis in the field is that subtype interactions and/or transition dynamics are major determinants of SCLC metastatic seeding and progression. Here, we review the advantages of cerebral organoids as an experimentally accessible platform for SCLC brain metastasis, amenable to genetic manipulations, drug perturbations, and assessment of subtype interactions when coupled, e.g., to temporal longitudinal monitoring by high-content imaging or high-throughput omics data generation. We then consider systems approaches that can produce mathematical and computational models useful to generalize lessons learned from ex vivo organoid cultures, and integrate them with in vivo observations. In summary, systems approaches combined with ex vivo SCLC cultures in brain organoids may effectively capture both tumor-tumor and host-tumor interactions that underlie general principles of brain metastasis.
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Affiliation(s)
| | - Amanda Linkous
- Department of Biochemistry, Vanderbilt University, Nashville, TN, United States
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Jang H, Kim SH, Koh Y, Yoon KJ. Engineering Brain Organoids: Toward Mature Neural Circuitry with an Intact Cytoarchitecture. Int J Stem Cells 2022; 15:41-59. [PMID: 35220291 PMCID: PMC8889333 DOI: 10.15283/ijsc22004] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 01/19/2022] [Indexed: 11/23/2022] Open
Abstract
The emergence of brain organoids as a model system has been a tremendously exciting development in the field of neuroscience. Brain organoids are a gateway to exploring the intricacies of human-specific neurogenesis that have so far eluded the neuroscience community. Regardless, current culture methods have a long way to go in terms of accuracy and reproducibility. To perfectly mimic the human brain, we need to recapitulate the complex in vivo context of the human fetal brain and achieve mature neural circuitry with an intact cytoarchitecture. In this review, we explore the major challenges facing the current brain organoid systems, potential technical breakthroughs to advance brain organoid techniques up to levels similar to an in vivo human developing brain, and the future prospects of this technology.
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Affiliation(s)
- Hyunsoo Jang
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
| | - Seo Hyun Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
| | - Youmin Koh
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
| | - Ki-Jun Yoon
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
- KAIST-Wonjin Cell Therapy Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
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