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Li W, Berlinicke C, Huang Y, Giera S, McGrath AG, Fang W, Chen C, Takaesu F, Chang X, Duan Y, Kumar D, Chang C, Mao HQ, Sheng G, Dodge JC, Ji H, Madden S, Zack DJ, Chamling X. High-throughput screening for myelination promoting compounds using human stem cell-derived oligodendrocyte progenitor cells. iScience 2023; 26:106156. [PMID: 36852281 PMCID: PMC9958491 DOI: 10.1016/j.isci.2023.106156] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/18/2022] [Accepted: 02/03/2023] [Indexed: 02/11/2023] Open
Abstract
Promoting myelination capacity of endogenous oligodendrocyte precursor cells (OPCs) is a promising therapeutic approach for CNS demyelinating disorders such as Multiple Sclerosis (MS). To aid in the discovery of myelination-promoting compounds, we generated a genome-engineered human pluripotent stem cell (hPSC) line that consists of three reporters: identification-and-purification tag, GFP, and secreted-NanoLuc, driven by the endogenous PDGFRA, PLP1, and MBP genes, respectively. Using this cell line, we established a high-throughput drug screening platform and performed a small-molecule screen, which identified at least two myelination-promoting small-molecule (Ro1138452 and SR2211) that target prostacyclin (IP) receptor and retinoic acid receptor-related orphan receptor γ (RORγ), respectively. Single-cell-transcriptomic analysis of differentiating OPCs treated with these molecules further confirmed that they promote oligodendrocyte differentiation and revealed several pathways that are potentially modulated by them. The molecules and their target pathways provide promising targets for the possible development of remyelination-based therapy for MS and other demyelinating disorders.
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Affiliation(s)
- Weifeng Li
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Cynthia Berlinicke
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Yinyin Huang
- Sanofi Inc., Translational Science, 350 Water Street, Cambridge, MA, 02141, USA
| | - Stefanie Giera
- Sanofi Inc., Rare and Neurologic Diseases Therapeutic Area, 350 Water Street, Cambridge, MA, 02141, USA
| | - Anna G. McGrath
- Sanofi Inc., Rare and Neurologic Diseases Therapeutic Area, 350 Water Street, Cambridge, MA, 02141, USA
| | - Weixiang Fang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Chaoran Chen
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Felipe Takaesu
- Wallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine & Georgia Institute of Technology, Atlanta, GA, USA
| | - Xiaoli Chang
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Yukan Duan
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Dinesh Kumar
- Sanofi Inc., Translational Science, 350 Water Street, Cambridge, MA, 02141, USA
| | - Calvin Chang
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Hai-Quan Mao
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
- Institute for NanoBioTechnology, Johns Hopkins University, Whiting School of Engineering Baltimore, MD 21218, USA
| | - Guoqing Sheng
- Sanofi Inc., Rare and Neurologic Diseases Therapeutic Area, 350 Water Street, Cambridge, MA, 02141, USA
| | - James C. Dodge
- Sanofi Inc., Rare and Neurologic Diseases Therapeutic Area, 350 Water Street, Cambridge, MA, 02141, USA
| | - Hongkai Ji
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Stephen Madden
- Sanofi Inc., Translational Science, 350 Water Street, Cambridge, MA, 02141, USA
| | - Donald J. Zack
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Xitiz Chamling
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
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Romero JC, Berlinicke C, Chow S, Duan Y, Wang Y, Chamling X, Smirnova L. Oligodendrogenesis and myelination tracing in a CRISPR/Cas9-engineered brain microphysiological system. Front Cell Neurosci 2023; 16:1094291. [PMID: 36744062 PMCID: PMC9893511 DOI: 10.3389/fncel.2022.1094291] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 12/16/2022] [Indexed: 01/20/2023] Open
Abstract
Introduction Oligodendrocytes (OLs) are the myelin-forming cells of the central nervous system (CNS). Although OLs can be differentiated from human-induced pluripotent stem cells (hiPSCs), the in vitro modeling of axon myelination in human cells remains challenging. Brain microphysiological systems (bMPS, e.g. organoids) are complex three-dimensional (3D) cultures that offer an ideal system to study this process as OLs differentiate in a more in vivo-like environment; surrounded by neurons and astrocytes, which support the myelination of axons. Methods Here, we take advantage of CRISPR/Cas9 technology to generate a hiPSC line in which proteolipid protein 1 (PLP1), an OLs marker, is tagged with super-fold GFP (sfGFP). While generating the PLP1-sfGFP reporter, we used reverse transfection and obtained higher Knock-In (KI) efficiency compared to forward transfection (61-72 vs. 46%). Results After validation of the KI and quality control of the PLP1-sfGFP line, selected clones were differentiated into bMPS, and the fidelity, specificity, and function of the tagged PLP protein were verified in this model. We tracked different stages of oligodendrogenesis in the verified lines based on PLP1-sfGFP+ cells' morphology, and the presence of PLP1-sfGFP surrounding axons during bMPS' differentiation. Finally, we challenged the bMPS with cuprizone and quantified changes in both the percentage of PLP1-sfGFP expressing cells and the intensity of GFP expression. Discussion This work demonstrates an efficient method for generating hiPSC KI lines and the description of a new 3D model to study OL differentiation, migration, and maturation both during in vitro neurodevelopment as well as in response to environmental chemicals or disease-associated stressors.
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Affiliation(s)
- July Carolina Romero
- Bloomberg School of Public Health, Center for Alternatives to Animal Testing, Johns Hopkins University, Baltimore, MD, United States
| | - Cynthia Berlinicke
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Sharon Chow
- Bloomberg School of Public Health, Center for Alternatives to Animal Testing, Johns Hopkins University, Baltimore, MD, United States
| | - Yukan Duan
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Yifei Wang
- Bloomberg School of Public Health, Center for Alternatives to Animal Testing, Johns Hopkins University, Baltimore, MD, United States
| | - Xitiz Chamling
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Lena Smirnova
- Bloomberg School of Public Health, Center for Alternatives to Animal Testing, Johns Hopkins University, Baltimore, MD, United States
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Vojnits K, Nakanishi M, Porras D, Kim Y, Feng Z, Golubeva D, Bhatia M. Developing CRISPR/Cas9-Mediated Fluorescent Reporter Human Pluripotent Stem-Cell Lines for High-Content Screening. Molecules 2022; 27:molecules27082434. [PMID: 35458632 PMCID: PMC9025795 DOI: 10.3390/molecules27082434] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/03/2022] [Accepted: 04/06/2022] [Indexed: 12/22/2022] Open
Abstract
Application of the CRISPR/Cas9 system to knock in fluorescent proteins to endogenous genes of interest in human pluripotent stem cells (hPSCs) has the potential to facilitate hPSC-based disease modeling, drug screening, and optimization of transplantation therapy. To evaluate the capability of fluorescent reporter hPSC lines for high-content screening approaches, we targeted EGFP to the endogenous OCT4 locus. Resulting hPSC–OCT4–EGFP lines generated expressed EGFP coincident with pluripotency markers and could be adapted to multi-well formats for high-content screening (HCS) campaigns. However, after long-term culture, hPSCs transiently lost their EGFP expression. Alternatively, through EGFP knock-in to the AAVS1 locus, we established a stable and consistent EGFP-expressing hPSC–AAVS1–EGFP line that maintained EGFP expression during in vitro hematopoietic and neural differentiation. Thus, hPSC–AAVS1–EGFP-derived sensory neurons could be adapted to a high-content screening platform that can be applied to high-throughput small-molecule screening and drug discovery campaigns. Our observations are consistent with recent findings indicating that high-frequency on-target complexities appear following CRISPR/Cas9 genome editing at the OCT4 locus. In contrast, we demonstrate that the AAVS1 locus is a safe genomic location in hPSCs with high gene expression that does not impact hPSC quality and differentiation. Our findings suggest that the CRISPR/Cas9-integrated AAVS1 system should be applied for generating stable reporter hPSC lines for long-term HCS approaches, and they underscore the importance of careful evaluation and selection of the applied reporter cell lines for HCS purposes.
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Chamling X, Kallman A, Fang W, Berlinicke CA, Mertz JL, Devkota P, Pantoja IEM, Smith MD, Ji Z, Chang C, Kaushik A, Chen L, Whartenby KA, Calabresi PA, Mao HQ, Ji H, Wang TH, Zack DJ. Single-cell transcriptomic reveals molecular diversity and developmental heterogeneity of human stem cell-derived oligodendrocyte lineage cells. Nat Commun 2021; 12:652. [PMID: 33510160 PMCID: PMC7844020 DOI: 10.1038/s41467-021-20892-3] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 12/28/2020] [Indexed: 01/30/2023] Open
Abstract
Injury and loss of oligodendrocytes can cause demyelinating diseases such as multiple sclerosis. To improve our understanding of human oligodendrocyte development, which could facilitate development of remyelination-based treatment strategies, here we describe time-course single-cell-transcriptomic analysis of developing human stem cell-derived oligodendrocyte-lineage-cells (hOLLCs). The study includes hOLLCs derived from both genome engineered embryonic stem cell (ESC) reporter cells containing an Identification-and-Purification tag driven by the endogenous PDGFRα promoter and from unmodified induced pluripotent (iPS) cells. Our analysis uncovers substantial transcriptional heterogeneity of PDGFRα-lineage hOLLCs. We discover sub-populations of human oligodendrocyte progenitor cells (hOPCs) including a potential cytokine-responsive hOPC subset, and identify candidate regulatory genes/networks that define the identity of these sub-populations. Pseudotime trajectory analysis defines developmental pathways of oligodendrocytes vs astrocytes from PDGFRα-expressing hOPCs and predicts differentially expressed genes between the two lineages. In addition, pathway enrichment analysis followed by pharmacological intervention of these pathways confirm that mTOR and cholesterol biosynthesis signaling pathways are involved in maturation of oligodendrocytes from hOPCs.
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Affiliation(s)
- Xitiz Chamling
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Alyssa Kallman
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Weixiang Fang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Cynthia A Berlinicke
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Joseph L Mertz
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Prajwal Devkota
- Department of Computer Science, University of Miami, Coral Gables, FL, 33146, USA
| | - Itzy E Morales Pantoja
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Matthew D Smith
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Zhicheng Ji
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Calvin Chang
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
| | - Aniruddha Kaushik
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Liben Chen
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Katharine A Whartenby
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
- The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Hai-Quan Mao
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Translational Tissue Engineering Center, Johns Hopkins School of Medicine, Baltimore, MD, 21287, USA
- Institute for NanoBioTechnology, Johns Hopkins University, Whiting School of Engineering Baltimore, Maryland, MD, 21218, USA
| | - Hongkai Ji
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - Tza-Huei Wang
- Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Donald J Zack
- Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
- The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
- Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
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Geny S, Pichard S, Brion A, Renaud JB, Jacquemin S, Concordet JP, Poterszman A. Tagging Proteins with Fluorescent Reporters Using the CRISPR/Cas9 System and Double-Stranded DNA Donors. Methods Mol Biol 2021; 2247:39-57. [PMID: 33301111 DOI: 10.1007/978-1-0716-1126-5_3] [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] [Indexed: 01/05/2024]
Abstract
Macromolecular complexes govern the majority of biological processes and are of great biomedical relevance as factors that perturb interaction networks underlie a number of diseases, and inhibition of protein-protein interactions is a common strategy in drug discovery. Genome editing technologies enable precise modifications in protein coding genes in mammalian cells, offering the possibility to introduce affinity tags or fluorescent reporters for proteomic or imaging applications in the bona fide cellular context. Here we describe a streamlined procedure which uses the CRISPR/Cas9 system and a double-stranded donor plasmid for efficient generation of homozygous endogenously GFP-tagged human cell lines. Establishing cellular models that preserve native genomic regulation of the target protein is instrumental to investigate protein localization and dynamics using fluorescence imaging but also to affinity purify associated protein complexes using anti-GFP antibodies or nanobodies.
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Affiliation(s)
- Sylvain Geny
- Laboratoire Structure et Instabilité des Génomes, Muséum National d'Histoire Naturelle (MNHN), Institut National de la Santé et de la Recherche Médicale (INSERM), U1154, Centre National de la Recherche Scientifique (CNRS), UMR7196 , Paris, France
| | - Simon Pichard
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Equipe labellisée Ligue Contre le Cancer, Centre National de la Recherche Scientifique (CNRS), UMR 7104, Institut National de la Santé et de la Recherche Médicale (INSERM), U1258, Université de Strasbourg, Illkirch, France
| | - Alice Brion
- Laboratoire Structure et Instabilité des Génomes, Muséum National d'Histoire Naturelle (MNHN), Institut National de la Santé et de la Recherche Médicale (INSERM), U1154, Centre National de la Recherche Scientifique (CNRS), UMR7196 , Paris, France
| | - Jean-Baptiste Renaud
- Laboratoire Structure et Instabilité des Génomes, Muséum National d'Histoire Naturelle (MNHN), Institut National de la Santé et de la Recherche Médicale (INSERM), U1154, Centre National de la Recherche Scientifique (CNRS), UMR7196 , Paris, France
| | - Sophie Jacquemin
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Equipe labellisée Ligue Contre le Cancer, Centre National de la Recherche Scientifique (CNRS), UMR 7104, Institut National de la Santé et de la Recherche Médicale (INSERM), U1258, Université de Strasbourg, Illkirch, France
| | - Jean-Paul Concordet
- Laboratoire Structure et Instabilité des Génomes, Muséum National d'Histoire Naturelle (MNHN), Institut National de la Santé et de la Recherche Médicale (INSERM), U1154, Centre National de la Recherche Scientifique (CNRS), UMR7196 , Paris, France.
| | - Arnaud Poterszman
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, Center for Integrated Biology, Integrated Structural Biology Department, Equipe labellisée Ligue Contre le Cancer, CNRS UMR 7104 - Inserm U 1258, University of Strasbourg, Illkirch, France.
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Anzai T, Hara H, Chanthra N, Sadahiro T, Ieda M, Hanazono Y, Uosaki H. Generation of Efficient Knock-in Mouse and Human Pluripotent Stem Cells Using CRISPR-Cas9. Methods Mol Biol 2021; 2320:247-259. [PMID: 34302663 DOI: 10.1007/978-1-0716-1484-6_22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
A knock-in can generate fluorescent or Cre-reporter under the control of an endogenous promoter. It also generates knock-out or tagged-protein with fluorescent protein and short tags for tracking and purification. Recent advances in genome editing with clustered regularly interspaced short palindromic repeat (CRISPR) and CRISPR-associated protein 9 (Cas9) significantly increased the efficiencies of making knock-in cells. Here we describe the detailed protocols of generating knock-in mouse and human pluripotent stem cells (PSCs) by electroporation and lipofection, respectively.
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Affiliation(s)
- Tatsuya Anzai
- Division of Regenerative Medicine, Center for Molecular Medicine, Jichi Medical University, Tochigi, Japan
- Department of Pediatrics, Jichi Medical University, Tochigi, Japan
| | - Hiromasa Hara
- Division of Regenerative Medicine, Center for Molecular Medicine, Jichi Medical University, Tochigi, Japan
- Animal Resource Laboratory, Center for Development of Advanced Medical Technology, Jichi Medical University, Tochigi, Japan
| | - Nawin Chanthra
- Division of Regenerative Medicine, Center for Molecular Medicine, Jichi Medical University, Tochigi, Japan
| | - Taketaro Sadahiro
- Department of Cardiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Masaki Ieda
- Department of Cardiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Yutaka Hanazono
- Division of Regenerative Medicine, Center for Molecular Medicine, Jichi Medical University, Tochigi, Japan
- Translational Research Laboratory, Center for Development of Advanced Medical Technology, Jichi Medical University, Tochigi, Japan
| | - Hideki Uosaki
- Division of Regenerative Medicine, Center for Molecular Medicine, Jichi Medical University, Tochigi, Japan.
- Translational Research Laboratory, Center for Development of Advanced Medical Technology, Jichi Medical University, Tochigi, Japan.
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O'Hara-Wright M, Gonzalez-Cordero A. Retinal organoids: a window into human retinal development. Development 2020; 147:147/24/dev189746. [PMID: 33361444 PMCID: PMC7774906 DOI: 10.1242/dev.189746] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Retinal development and maturation are orchestrated by a series of interacting signalling networks that drive the morphogenetic transformation of the anterior developing brain. Studies in model organisms continue to elucidate these complex series of events. However, the human retina shows many differences from that of other organisms and the investigation of human eye development now benefits from stem cell-derived organoids. Retinal differentiation methods have progressed from simple 2D adherent cultures to self-organising micro-physiological systems. As models of development, these have collectively offered new insights into the previously unexplored early development of the human retina and informed our knowledge of the key cell fate decisions that govern the specification of light-sensitive photoreceptors. Although the developmental trajectories of other retinal cell types remain more elusive, the collation of omics datasets, combined with advanced culture methodology, will enable modelling of the intricate process of human retinogenesis and retinal disease in vitro. Summary: Retinal organoid systems derived from human pluripotent stem cells are micro-physiological systems that offer new insights into previously unexplored human retina development.
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Affiliation(s)
- Michelle O'Hara-Wright
- Stem Cell Medicine Group, Children's Medical Research Institute, University of Sydney, Westmead, 2145, NSW, Australia.,School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Westmead, 2145, NSW, Australia
| | - Anai Gonzalez-Cordero
- Stem Cell Medicine Group, Children's Medical Research Institute, University of Sydney, Westmead, 2145, NSW, Australia .,School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Westmead, 2145, NSW, Australia
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Kegeles E, Naumov A, Karpulevich EA, Volchkov P, Baranov P. Convolutional Neural Networks Can Predict Retinal Differentiation in Retinal Organoids. Front Cell Neurosci 2020; 14:171. [PMID: 32719585 PMCID: PMC7350982 DOI: 10.3389/fncel.2020.00171] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 05/20/2020] [Indexed: 12/17/2022] Open
Abstract
We have developed a deep learning-based computer algorithm to recognize and predict retinal differentiation in stem cell-derived organoids based on bright-field imaging. The three-dimensional "organoid" approach for the differentiation of pluripotent stem cells (PSC) into retinal and other neural tissues has become a major in vitro strategy to recapitulate development. We decided to develop a universal, robust, and non-invasive method to assess retinal differentiation that would not require chemical probes or reporter gene expression. We hypothesized that basic-contrast bright-field (BF) images contain sufficient information on tissue specification, and it is possible to extract this data using convolutional neural networks (CNNs). Retina-specific Rx-green fluorescent protein mouse embryonic reporter stem cells have been used for all of the differentiation experiments in this work. The BF images of organoids have been taken on day 5 and fluorescent on day 9. To train the CNN, we utilized a transfer learning approach: ImageNet pre-trained ResNet50v2, VGG19, Xception, and DenseNet121 CNNs had been trained on labeled BF images of the organoids, divided into two categories (retina and non-retina), based on the fluorescent reporter gene expression. The best-performing classifier with ResNet50v2 architecture showed a receiver operating characteristic-area under the curve score of 0.91 on a test dataset. A comparison of the best-performing CNN with the human-based classifier showed that the CNN algorithm performs better than the expert in predicting organoid fate (84% vs. 67 ± 6% of correct predictions, respectively), confirming our original hypothesis. Overall, we have demonstrated that the computer algorithm can successfully recognize and predict retinal differentiation in organoids before the onset of reporter gene expression. This is the first demonstration of CNN's ability to classify stem cell-derived tissue in vitro.
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Affiliation(s)
- Evgenii Kegeles
- Department of Ophthalmology, The Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, United States
- Genome Technologies and Bioinformatics Research Centre, Moscow Institute of Physics and Technology, Dolgoprudniy, Russia
| | - Anton Naumov
- Department of Information Systems, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
| | - Evgeny A. Karpulevich
- Genome Technologies and Bioinformatics Research Centre, Moscow Institute of Physics and Technology, Dolgoprudniy, Russia
- Department of Information Systems, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia
- National Research Center “Kurchatov Institute”, Moscow, Russia
| | - Pavel Volchkov
- Genome Technologies and Bioinformatics Research Centre, Moscow Institute of Physics and Technology, Dolgoprudniy, Russia
- Endocrinology Research Centre, Institute for Personalized Medicine, Moscow, Russia
| | - Petr Baranov
- Department of Ophthalmology, The Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, United States
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Abstract
PURPOSE OF REVIEW We review the ways in which stem cells are used in psychiatric disease research, including the related advances in gene editing and directed cell differentiation. RECENT FINDINGS The recent development of induced pluripotent stem cell (iPSC) technologies has created new possibilities for the study of psychiatric disease. iPSCs can be derived from patients or controls and differentiated to an array of neuronal and non-neuronal cell types. Their genomes can be edited as desired, and they can be assessed for a variety of phenotypes. This makes them especially interesting for studying genetic variation, which is particularly useful today now that our knowledge on the genetics of psychiatric disease is quickly expanding. The recent advances in cell engineering have led to powerful new methods for studying psychiatric illness including schizophrenia, bipolar disorder, and autism. There is a wide array of possible applications as illustrated by the many examples from the literature, most of which are cited here.
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Affiliation(s)
- Debamitra Das
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kyra Feuer
- Predoctoral Training Program in Human Genetics, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marah Wahbeh
- Predoctoral Training Program in Human Genetics, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dimitrios Avramopoulos
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Banan M. Recent advances in CRISPR/Cas9-mediated knock-ins in mammalian cells. J Biotechnol 2020; 308:1-9. [DOI: 10.1016/j.jbiotec.2019.11.010] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 11/16/2019] [Accepted: 11/17/2019] [Indexed: 12/16/2022]
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