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Lee EJ, Sun R, Kim J. The self-renewal function of Oct-4 can be replaced by the EWS-Oct-4 fusion protein in embryonic stem cells. Cell Mol Life Sci 2025; 82:166. [PMID: 40251420 PMCID: PMC12008092 DOI: 10.1007/s00018-025-05701-0] [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: 11/26/2024] [Revised: 03/31/2025] [Accepted: 04/07/2025] [Indexed: 04/20/2025]
Abstract
Octamer-binding transcription factor 4 (Oct-4) is essential for maintenance and pluripotency of embryonic stem (ES) cells. Despite the structural similarities between Oct-4 and its homologs (Oct-1, Oct-2, and Oct-6), these homologs cannot serve as substitutes for Oct-4 when generating stem cell colonies. While nuclear receptor subfamily 5, group A, member 2 (Nr5a2) can temporarily serve as a substitute for Oct-4 during cellular reprogramming, it is insufficient to maintain these functions in ES cells. The EWS-Oct-4 fusion protein, which was identified in human tumors, is a viable alternative that can potentially sustain and enhance ES cell functions. This study used ZHBTc4 ES cells, which have tetracycline-regulated Oct-4 expression, to explore the capabilities of EWS-Oct-4. It employed a variety of assays, including western blotting, immunocytochemistry, RT-PCR, luciferase reporter assays, flow cytometry, and teratoma formation assays. EWS-Oct-4 preserved the self-renewal capacity of Oct-4-null ES cells, as demonstrated by their undifferentiated morphology and increased expression of pluripotency markers such as Sox2, Nanog, and SSEA-1. It also boosted cell proliferation and influenced cell cycle dynamics by downregulating p21 and upregulating Oct-4 target genes, including Rex-1 and fibroblast growth factor-4. Epithelial markers were upregulated and mesenchymal markers were downregulated, suggesting a shift toward an epithelial phenotype. Prominent teratoma formation further confirmed the functionality of EWS-Oct-4 in vivo. The integrity and specific functional domains of EWS-Oct-4 were critical for these effects. Finally, comparative transcriptomic analysis revealed that ES cells expressing EWS-Oct-4 and those expressing Oct-4 had highly similar global gene expression profiles, with distinct variations in differentially expressed genes. These findings indicate that EWS-Oct-4 can effectively replace Oct-4, which has significant implications for advancements in stem cell research and regenerative medicine.
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Affiliation(s)
- Eun Joo Lee
- Laboratory of Molecular and Cellular Biology, Department of Life Science, Sogang University, Seoul, 04107, Korea
| | - Ruijing Sun
- Laboratory of Molecular and Cellular Biology, Department of Life Science, Sogang University, Seoul, 04107, Korea
| | - Jungho Kim
- Laboratory of Molecular and Cellular Biology, Department of Life Science, Sogang University, Seoul, 04107, Korea.
- Stress-Responding Bionanomaterial Center, Sogang University, Seoul, 04107, Korea.
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2
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Li BI, Alvarez MJ, Zhao H, Chirathivat N, Califano A, Shen MM. The regulatory architecture of the primed pluripotent cell state. Nat Commun 2025; 16:3351. [PMID: 40204698 PMCID: PMC11982361 DOI: 10.1038/s41467-025-57894-4] [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: 04/14/2024] [Accepted: 03/06/2025] [Indexed: 04/11/2025] Open
Abstract
Despite extensive research, the gene regulatory architecture governing mammalian cell states remains poorly understood. Here we present an integrative systems biology approach to elucidate the network architecture of primed state pluripotency. Using an unbiased methodology, we identified and experimentally confirmed 132 transcription factors as master regulators (MRs) of mouse epiblast stem cell (EpiSC) pluripotency, many of which were further validated by CRISPR-mediated functional assays. To assemble a comprehensive regulatory network, we silenced each of the 132 MRs to assess their effects on the other MRs and their transcriptional targets, yielding a network of 1273 MR → MR interactions. Network architecture analyses revealed four functionally distinct MR modules (communities), and identified key Speaker and Mediator MRs based on their hierarchical rank and centrality. Our findings elucidate the de-centralized logic of a "communal interaction" model in which the balanced activities of four MR communities maintain primed state pluripotency.
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Affiliation(s)
- Bo I Li
- Department of Medicine, New York, NY, USA
- Systems Biology, New York, NY, USA
- Genetics and Development, New York, NY, USA
- Urology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Mariano J Alvarez
- Systems Biology, New York, NY, USA
- DarwinHealth, Inc., New York, NY, USA
| | - Hui Zhao
- Department of Medicine, New York, NY, USA
- Systems Biology, New York, NY, USA
- Genetics and Development, New York, NY, USA
- Urology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Napon Chirathivat
- Department of Medicine, New York, NY, USA
- Systems Biology, New York, NY, USA
- Genetics and Development, New York, NY, USA
- Urology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Andrea Califano
- Department of Medicine, New York, NY, USA.
- Systems Biology, New York, NY, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
- DarwinHealth, Inc., New York, NY, USA.
- Department of Biochemistry and Molecular Biophysics, New York, NY, USA.
- Biomedical Informatics, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
- Chan Zuckerberg Biohub, New York, NY, USA.
| | - Michael M Shen
- Department of Medicine, New York, NY, USA.
- Systems Biology, New York, NY, USA.
- Genetics and Development, New York, NY, USA.
- Urology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
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3
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Jin Z, Zhou X, Fang Z. DelaySSA: stochastic simulation of biochemical systems and gene regulatory networks with or without time delays. PLoS Comput Biol 2025; 21:e1012919. [PMID: 40198732 PMCID: PMC11977973 DOI: 10.1371/journal.pcbi.1012919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Accepted: 02/26/2025] [Indexed: 04/10/2025] Open
Abstract
Stochastic Simulation Algorithm (SSA) is crucial for modeling biochemical reactions and gene regulatory networks. Traditional SSA is characterized by Markovian property and cannot naturally model systems with time delays. Several algorithms have already been designed to handle delayed reactions, yet few easy-to-use implementations exist. To address these challenges, we have developed DelaySSA, an R package that implements currently available algorithms for SSA with or without delays. Meanwhile, we also provided Matlab and Python versions to support wider applications. We demonstrated its accuracy and validity by simulating two classical models: the Bursty model and Refractory model. We then tested its capability to simulate the RNA Velocity model, where it successfully reproduced both the up- and down-regulation stages in the phase portrait. Finally, we extended its application to simulate a gene regulatory network of lung cancer adeno-to-squamous transition (AST) and qualitatively analyzed its bistability behavior by approximating the Waddington's landscape. Modeling the therapeutic intervention of a SOX2 degrader as a delayed degradation reaction, AST is effectively blocked and reprogrammed back to the adenocarcinoma state, providing a useful clue for targeting drug-resistant AST in the future. Taken together, DelaySSA is a powerful and easy-to-use software suite, facilitating accurate modeling of various kinds of biological systems and broadening the scope of stochastic simulations in systems biology.
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Affiliation(s)
- Ziyan Jin
- Department of Colorectal Surgery and Oncology of the Second Affiliated Hospital, and Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Xinyi Zhou
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China
| | - Zhaoyuan Fang
- Department of Colorectal Surgery and Oncology of the Second Affiliated Hospital, and Centre of Biomedical Systems and Informatics of Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
- Edinburgh Medical School, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, United Kingdom
- Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Hangzhou, China
- Biomedical and Health Translational Research Center of Zhejiang Province, Haining, China
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4
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Ho SY, Hu H, Ho DHH, Renom APS, Yeung SW, Boerner F, Weng M, Hutchins AP, Jauch R. An acidic residue within the OCT4 dimerization interface of SOX17 is necessary and sufficient to overcome its pluripotency-inducing activity. Stem Cell Reports 2025; 20:102398. [PMID: 39919754 PMCID: PMC11960519 DOI: 10.1016/j.stemcr.2025.102398] [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: 02/21/2024] [Revised: 01/06/2025] [Accepted: 01/07/2025] [Indexed: 02/09/2025] Open
Abstract
SOX17 directs the differentiation toward endoderm and acts as a human germline specifier. We previously found that the replacement of glutamate at position 57 of the high-mobility group (HMG) box with the basic lysine residue in SOX2 alters interactions with OCT4 and turns SOX17 into a pluripotency factor. Here, we systematically interrogated how mutations at this critical position affect the cellular reprogramming activity of SOX17 in mouse and human. We found that most mutations turn SOX17 into a pluripotency factor regardless of their biophysical properties except for acidic residues and proline. The conservative mutation to an aspartate allows the SOX17E57D protein to maintain a self-renewing endodermal state. We showed that only the glutamate in the wild-type protein blocks the formation of an SOX17/OCT4 dimer at composite DNA elements in pluripotency enhancers. Insights into how modifications of an ultra-conserved residue affect functions of developmental transcription factors provide avenues to advance cell fate engineering.
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Affiliation(s)
- Sik Yin Ho
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory for Primate Embryogenesis, Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| | - Haoqing Hu
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Centre for Translational Stem Cell Biology, Hong Kong SAR, China
| | - Derek Hoi Hang Ho
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Centre for Translational Stem Cell Biology, Hong Kong SAR, China
| | - Allan Patrick Stephane Renom
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Shi Wing Yeung
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Centre for Translational Stem Cell Biology, Hong Kong SAR, China
| | - Freya Boerner
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Centre for Translational Stem Cell Biology, Hong Kong SAR, China; Faculty of Arts and Science, University of Toronto, Toronto, ON, Canada
| | - Mingxi Weng
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Altos Labs, San Diego, CA 92122, USA
| | - Andrew Paul Hutchins
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, Guangdong Province 518055, China
| | - Ralf Jauch
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Centre for Translational Stem Cell Biology, Hong Kong SAR, China.
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5
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Xiao L, Huang Z, Wu Z, Yang Y, Zhang Z, Kumar M, Wu H, Mao H, Lin L, Lin R, Long J, Zeng L, Guo J, Luo R, Li Y, Zhu P, Liao B, Wang L, Liu J. Reconstitution of pluripotency from mouse fibroblast through Sall4 overexpression. Nat Commun 2024; 15:10787. [PMID: 39737935 DOI: 10.1038/s41467-024-54924-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 11/20/2024] [Indexed: 01/01/2025] Open
Abstract
Somatic cells can be reprogrammed into pluripotent stem cells (iPSCs) by overexpressing defined transcription factors. Specifically, overexpression of OCT4 alone has been demonstrated to reprogram mouse fibroblasts into iPSCs. However, it remains unclear whether any other single factor can induce iPSCs formation. Here, we report that SALL4 alone, under an optimized reprogramming medium iCD4, is capable of reprogramming mouse fibroblasts into iPSCs. Mechanistically, SALL4 facilitates reprogramming by inhibiting somatic genes and activating pluripotent genes, such as Esrrb and Tfap2c. Furthermore, we demonstrate that co-overexpressing SALL4 and OCT4 synergistically enhances reprogramming efficiency. Specifically, the activation of Rsk1/Esrrb/Tfap2c by SALL4, alongside OCT4's activation of Sox2 and the suppression of Mndal by SALL4 and Sbsn by OCT4, cooperate to facilitate SALL4+OCT4-mediated reprogramming. Overall, our study not only establishes an efficient method for iPSCs induction using the SALL4 single factor but also provides insights into the synergistic effects of SALL4 and OCT4 in reprogramming.
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Affiliation(s)
- Lizhan Xiao
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zifen Huang
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Zixuan Wu
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yongzheng Yang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Zhen Zhang
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Manish Kumar
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Haokaifeng Wu
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Huiping Mao
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Lihui Lin
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Runxia Lin
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Jingxian Long
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Lihua Zeng
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Jing Guo
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Rongping Luo
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yi Li
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Pathogenesis, Targeted Prevention and Treatment of Heart Disease, Guangzhou Key Laboratory of Cardiac Pathogenesis and Prevention, Guangzhou, Guangdong, China
| | - Ping Zhu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Pathogenesis, Targeted Prevention and Treatment of Heart Disease, Guangzhou Key Laboratory of Cardiac Pathogenesis and Prevention, Guangzhou, Guangdong, China
| | - Baojian Liao
- School of Basic Medical Sciences, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, the Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Luqin Wang
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
| | - Jing Liu
- Center for Development and Regeneration, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong-Hong Kong Joint Laboratory for Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
- Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, China.
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong SAR, PR China.
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6
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Nandagopal S, Terrio A, Vicente FZ, Megason SG, Jambhekar A, Lahav G. Activation-derepression synergy enables a bHLH network to coordinate a signal-specific fate response. Cell Rep 2024; 43:115077. [PMID: 39671287 PMCID: PMC11774475 DOI: 10.1016/j.celrep.2024.115077] [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: 05/09/2024] [Revised: 09/27/2024] [Accepted: 11/25/2024] [Indexed: 12/15/2024] Open
Abstract
Stem cells integrate multiple environmental signals to activate appropriate fate programs. To ensure coherent responses, alternative fates must be concomitantly inactivated. However, mechanisms that coordinate fates in a signal-specific manner are not fully understood. Here, we investigate the role of a network of basic-helix-loop-helix (bHLH) transcription factors in neural stem cells, which integrate leukemia inhibitory factor (LIF) and bone morphogenetic protein (BMP) signaling to synergistically induce glial fibrillary acidic protein (GFAP), a key astrocyte-fate determinant. Using quantitative RNA-fluorescence in situ hybridization (FISH) and ectopic expression, we find that multiple bHLHs that promote alternative fates also repress GFAP but are all suppressed by BMP and, to a lesser extent, LIF. Mathematical modeling shows that synergy arises from this coordinated derepression of GFAP combined with its activation by LIF signaling. Finally, we determine how coordinated and tunable derepression results from extensive cross-regulation among bHLHs. Activation-derepression synergy could be broadly utilized to couple signaling and fate, particularly across the numerous developmental systems regulated by bHLH factors.
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Affiliation(s)
- Sandy Nandagopal
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA 02115, USA.
| | - Alexsandra Terrio
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA 02115, USA
| | - Fernando Z Vicente
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA 02115, USA
| | - Sean G Megason
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA 02115, USA
| | - Ashwini Jambhekar
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA 02115, USA
| | - Galit Lahav
- Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA 02115, USA.
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7
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Fort G, Arnold H, Camolotto S, Tariq R, Waters A, O'Toole K, Snyder EL. Opposing lineage specifiers induce a pro-tumor hybrid-identity state in lung adenocarcinoma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.12.02.626384. [PMID: 39677719 PMCID: PMC11642828 DOI: 10.1101/2024.12.02.626384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2024]
Abstract
The ability of cancer cells to alter their identity, known as lineage plasticity, is crucial for tumor progression and therapy resistance. In lung adenocarcinoma (LUAD), tumor progression is characterized by a gradual loss of lineage fidelity and the emergence of non-pulmonary identity programs. This can lead to hybrid-identity (hybrid-ID) states in which developmentally incompatible identity programs are co-activated within individual cells. However, the molecular mechanisms underlying these identity shifts remain incompletely understood. Here, we identify the gastrointestinal (GI) transcriptional regulator HNF4α as a critical driver of tumor growth and proliferation in KRAS-driven LUAD. In LUAD cells that express the lung lineage specifier NKX2-1, HNF4α can induce a GI/liver-like state by directly binding and activating its canonical targets. HNF4α also forms an aberrant protein complex with NKX2-1, which disrupts NKX2-1 localization and dampens pulmonary identity within hybrid-ID LUAD. Sustained signaling through the RAS/MEK pathway is critical for maintaining the hybrid-ID state. Moreover, RAS/MEK inhibition augments NKX2-1 chromatin binding at pulmonary-specific genes and induces resistance-associated pulmonary signatures. Finally, we demonstrate that HNF4α depletion enhances sensitivity to pharmacologic KRAS G12D inhibition. Collectively, our data show that co-expression of opposing lineage specifiers leads to a hybrid identity state that can drive tumor progression and dictate response to targeted therapy in LUAD.
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8
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Yagi M, Horng JE, Hochedlinger K. Manipulating cell fate through reprogramming: approaches and applications. Development 2024; 151:dev203090. [PMID: 39348466 PMCID: PMC11463964 DOI: 10.1242/dev.203090] [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: 05/23/2024] [Accepted: 09/11/2024] [Indexed: 10/02/2024]
Abstract
Cellular plasticity progressively declines with development and differentiation, yet these processes can be experimentally reversed by reprogramming somatic cells to induced pluripotent stem cells (iPSCs) using defined transcription factors. Advances in reprogramming technology over the past 15 years have enabled researchers to study diseases with patient-specific iPSCs, gain fundamental insights into how cell identity is maintained, recapitulate early stages of embryogenesis using various embryo models, and reverse aspects of aging in cultured cells and animals. Here, we review and compare currently available reprogramming approaches, including transcription factor-based methods and small molecule-based approaches, to derive pluripotent cells characteristic of early embryos. Additionally, we discuss our current understanding of mechanisms that resist reprogramming and their role in cell identity maintenance. Finally, we review recent efforts to rejuvenate cells and tissues with reprogramming factors, as well as the application of iPSCs in deriving novel embryo models to study pre-implantation development.
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Affiliation(s)
- Masaki Yagi
- Department of Molecular Biology, Center for Regenerative Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Harvard Stem Cell Institute, Cambridge, MA 02138, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Joy E. Horng
- Department of Molecular Biology, Center for Regenerative Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Harvard Stem Cell Institute, Cambridge, MA 02138, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Konrad Hochedlinger
- Department of Molecular Biology, Center for Regenerative Medicine and Cancer Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Harvard Stem Cell Institute, Cambridge, MA 02138, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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9
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Jin K, Zhou J, Wu G, Li Z, Zhu X, Liang Y, Li T, Chen G, Zuo Q, Niu Y, Song J, Han W. CHIR99021 and Brdu Are Critical in Chicken iPSC Reprogramming via Small-Molecule Screening. Genes (Basel) 2024; 15:1206. [PMID: 39336797 PMCID: PMC11431361 DOI: 10.3390/genes15091206] [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: 08/14/2024] [Revised: 09/11/2024] [Accepted: 09/12/2024] [Indexed: 09/30/2024] Open
Abstract
Background/Objectives: Induced pluripotent stem cells (iPSCs) reprogrammed from somatic cells into cells with most of the ESC (embryonic stem cell) characteristics show promise toward solving ethical problems currently facing stem cell research and eventually yield clinical grade pluripotent stem cells for therapies and regenerative medicine. In recent years, an increasing body of research suggests that the chemical induction of pluripotency (CIP) method can yield iPSCs in vitro, yet its application in avian species remains unreported. Methods: Herein, we successfully obtained stably growing chicken embryonic fibroblasts (CEFs) using the tissue block adherence method and employed 12 small-molecule compounds to induce chicken iPSC formation. Results: The final optimized iPSC induction system was bFGF (10 ng/mL), CHIR99021 (3 μM), RepSox (5 μM), DZNep (0.05 μM), BrdU (10 μM), BMP4 (10 ng/mL), vitamin C (50 μg/mL), EPZ-5676 (5 μM), and VPA (0.1 mM). Optimization of the induction system revealed that the highest number of clones was induced with 8 × 104 cells per well and at 1.5 times the original concentration. Upon characterization, these clones exhibited iPSC characteristics, leading to the development of a stable compound combination for iPSC generation in chickens. Concurrently, employing a deletion strategy to investigate the functionality of small-molecule compounds during induction, we identified CHIR99021 and BrdU as critical factors for inducing chicken iPSC formation. Conclusions: In conclusion, this study provides a reference method for utilizing small-molecule combinations in avian species to reprogram cells and establish a network of cell fate determination mechanisms.
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Affiliation(s)
- Kai Jin
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (J.Z.); (G.W.); (Z.L.); (X.Z.); (Y.L.); (T.L.); (G.C.); (Q.Z.); (Y.N.)
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
- College of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, China
| | - Jing Zhou
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (J.Z.); (G.W.); (Z.L.); (X.Z.); (Y.L.); (T.L.); (G.C.); (Q.Z.); (Y.N.)
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
| | - Gaoyuan Wu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (J.Z.); (G.W.); (Z.L.); (X.Z.); (Y.L.); (T.L.); (G.C.); (Q.Z.); (Y.N.)
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
| | - Zeyu Li
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (J.Z.); (G.W.); (Z.L.); (X.Z.); (Y.L.); (T.L.); (G.C.); (Q.Z.); (Y.N.)
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
| | - Xilin Zhu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (J.Z.); (G.W.); (Z.L.); (X.Z.); (Y.L.); (T.L.); (G.C.); (Q.Z.); (Y.N.)
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
| | - Youchen Liang
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (J.Z.); (G.W.); (Z.L.); (X.Z.); (Y.L.); (T.L.); (G.C.); (Q.Z.); (Y.N.)
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
| | - Tingting Li
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (J.Z.); (G.W.); (Z.L.); (X.Z.); (Y.L.); (T.L.); (G.C.); (Q.Z.); (Y.N.)
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
| | - Guohong Chen
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (J.Z.); (G.W.); (Z.L.); (X.Z.); (Y.L.); (T.L.); (G.C.); (Q.Z.); (Y.N.)
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
| | - Qisheng Zuo
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (J.Z.); (G.W.); (Z.L.); (X.Z.); (Y.L.); (T.L.); (G.C.); (Q.Z.); (Y.N.)
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
| | - Yingjie Niu
- Joint International Research Laboratory of Agriculture and Agri-Product Safety of Ministry of Education of China, Yangzhou University, Yangzhou 225009, China; (J.Z.); (G.W.); (Z.L.); (X.Z.); (Y.L.); (T.L.); (G.C.); (Q.Z.); (Y.N.)
- Key Laboratory of Animal Breeding Reproduction and Molecular Design for Jiangsu Province, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China
- Institutes of Agricultural Science and Technology Development, Yangzhou University, Yangzhou 225009, China
| | - Jiuzhou Song
- Department of Animal & Avian Sciences, University of Maryland, College Park, MD 20742, USA;
| | - Wei Han
- Jiangsu Institute of Poultry Sciences/Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou 225125, China;
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10
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Liu Y, Zhou Z, Su H, Wu S, Ni G, Zhang A, Tsimring LS, Hasty J, Hao N. Enhanced cellular longevity arising from environmental fluctuations. Cell Syst 2024; 15:738-752.e5. [PMID: 39173586 PMCID: PMC11380573 DOI: 10.1016/j.cels.2024.07.007] [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: 07/01/2023] [Revised: 05/07/2024] [Accepted: 07/23/2024] [Indexed: 08/24/2024]
Abstract
Cellular longevity is regulated by both genetic and environmental factors. However, the interactions of these factors in the context of aging remain largely unclear. Here, we formulate a mathematical model for dynamic glucose modulation of a core gene circuit in yeast aging, which not only guided the design of pro-longevity interventions but also revealed the theoretical principles underlying these interventions. We introduce the dynamical systems theory to capture two general means for promoting longevity-the creation of a stable fixed point in the "healthy" state of the cell and the "dynamic stabilization" of the system around this healthy state through environmental oscillations. Guided by the model, we investigate how both of these can be experimentally realized by dynamically modulating environmental glucose levels. The results establish a paradigm for theoretically analyzing the trajectories and perturbations of aging that can be generalized to aging processes in diverse cell types and organisms.
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Affiliation(s)
- Yuting Liu
- Department of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Zhen Zhou
- Department of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
| | - Hetian Su
- Department of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Songlin Wu
- Department of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Gavin Ni
- Department of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Alex Zhang
- Department of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA
| | - Lev S Tsimring
- Synthetic Biology Institute, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jeff Hasty
- Department of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA; Synthetic Biology Institute, University of California, San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Nan Hao
- Department of Molecular Biology, School of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA; Synthetic Biology Institute, University of California, San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
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11
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Xue G, Zhang X, Li W, Zhang L, Zhang Z, Zhou X, Zhang D, Zhang L, Li Z. A logic-incorporated gene regulatory network deciphers principles in cell fate decisions. eLife 2024; 12:RP88742. [PMID: 38652107 PMCID: PMC11037919 DOI: 10.7554/elife.88742] [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: 04/25/2024] Open
Abstract
Organisms utilize gene regulatory networks (GRN) to make fate decisions, but the regulatory mechanisms of transcription factors (TF) in GRNs are exceedingly intricate. A longstanding question in this field is how these tangled interactions synergistically contribute to decision-making procedures. To comprehensively understand the role of regulatory logic in cell fate decisions, we constructed a logic-incorporated GRN model and examined its behavior under two distinct driving forces (noise-driven and signal-driven). Under the noise-driven mode, we distilled the relationship among fate bias, regulatory logic, and noise profile. Under the signal-driven mode, we bridged regulatory logic and progression-accuracy trade-off, and uncovered distinctive trajectories of reprogramming influenced by logic motifs. In differentiation, we characterized a special logic-dependent priming stage by the solution landscape. Finally, we applied our findings to decipher three biological instances: hematopoiesis, embryogenesis, and trans-differentiation. Orthogonal to the classical analysis of expression profile, we harnessed noise patterns to construct the GRN corresponding to fate transition. Our work presents a generalizable framework for top-down fate-decision studies and a practical approach to the taxonomy of cell fate decisions.
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Affiliation(s)
- Gang Xue
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
| | - Xiaoyi Zhang
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
| | - Wanqi Li
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
| | - Lu Zhang
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
| | - Zongxu Zhang
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
| | - Xiaolin Zhou
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
| | - Di Zhang
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
| | - Lei Zhang
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
- Beijing International Center for Mathematical Research, Center for Machine Learning Research, Peking UniversityBeijingChina
| | - Zhiyuan Li
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking UniversityBeijingChina
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12
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Chen Y, Li M, Wu Y. The occurrence and development of induced pluripotent stem cells. Front Genet 2024; 15:1389558. [PMID: 38699229 PMCID: PMC11063328 DOI: 10.3389/fgene.2024.1389558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 04/08/2024] [Indexed: 05/05/2024] Open
Abstract
The ectopic expression of four transcription factors, Oct3/4, Sox2, Klf4, and c-Myc (OSKM), known as "Yamanaka factors," can reprogram or stimulate the production of induced pluripotent stem cells (iPSCs). Although OSKM is still the gold standard, there are multiple ways to reprogram cells into iPSCs. In recent years, significant progress has been made in improving the efficiency of this technology. Ten years after the first report was published, human pluripotent stem cells have gradually been applied in clinical settings, including disease modeling, cell therapy, new drug development, and cell derivation. Here, we provide a review of the discovery of iPSCs and their applications in disease and development.
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Affiliation(s)
| | - Meng Li
- Department of Cardiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Yanqing Wu
- Department of Cardiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
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13
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Shen Z, Wu Y, Mana A, Yi C, Cairns B, Evason KJ, Chandrasekharan MB, Tantin D. Oct4 redox sensitivity potentiates reprogramming and differentiation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.02.21.529404. [PMID: 36865286 PMCID: PMC9980064 DOI: 10.1101/2023.02.21.529404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
The transcription factor Oct4/Pou5f1 is a component of the regulatory circuitry governing pluripotency and is widely used to induce pluripotency from somatic cells. Here we use domain swapping and mutagenesis to study Oct4s reprogramming ability, identifying a redox-sensitive DNA binding domain cysteine residue (Cys48) as a key determinant of reprogramming and differentiation. Oct4 Cys48 sensitizes the protein to oxidative inhibition of DNA binding activity and promotes oxidation-mediated protein ubiquitylation. Pou5f1C48S point mutation has little effect on undifferentiated embryonic stem cells (ESCs), but upon retinoic acid (RA) treatment causes retention of Oct4 expression, deregulated gene expression and aberrant differentiation. Pou5f1C48S ESCs also form less differentiated teratomas and contribute poorly to adult somatic tissues. Finally, we describe Pou5f1C48S (Janky) mice, which in the homozygous condition are severely developmentally restricted after E4.5. Rare animals bypassing this restriction appear normal at birth but are sterile. Collectively, these findings uncover a novel Oct4 redox mechanism involved in both entry into and exit from pluripotency.
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14
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Guo X, Wang C, Zhang Y, Wei R, Xi R. Cell-fate conversion of intestinal cells in adult Drosophila midgut by depleting a single transcription factor. Nat Commun 2024; 15:2656. [PMID: 38531872 DOI: 10.1038/s41467-024-46956-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 03/14/2024] [Indexed: 03/28/2024] Open
Abstract
The manipulation of cell identity by reprograming holds immense potential in regenerative medicine, but is often limited by the inefficient acquisition of fully functional cells. This problem can potentially be resolved by better understanding the reprogramming process using in vivo genetic models, which are currently scarce. Here we report that both enterocytes (ECs) and enteroendocrine cells (EEs) in adult Drosophila midgut show a surprising degree of cell plasticity. Depleting the transcription factor Tramtrack in the differentiated ECs can initiate Prospero-mediated cell transdifferentiation, leading to EE-like cells. On the other hand, depletion of Prospero in the differentiated EEs can lead to the loss of EE-specific transcription programs and the gain of intestinal progenitor cell identity, allowing cell cycle re-entry or differentiation into ECs. We find that intestinal progenitor cells, ECs, and EEs have a similar chromatin accessibility profile, supporting the concept that cell plasticity is enabled by pre-existing chromatin accessibility with switchable transcription programs. Further genetic analysis with this system reveals that the NuRD chromatin remodeling complex, cell lineage confliction, and age act as barriers to EC-to-EE transdifferentiation. The establishment of this genetically tractable in vivo model should facilitate mechanistic investigation of cell plasticity at the molecular and genetic level.
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Affiliation(s)
- Xingting Guo
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing, 102206, China
- Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, 102206, China
| | - Chenhui Wang
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing, 102206, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
| | - Yongchao Zhang
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing, 102206, China
- Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, 102206, China
| | - Ruxue Wei
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing, 102206, China
| | - Rongwen Xi
- National Institute of Biological Sciences, No. 7 Science Park Road, Zhongguancun Life Science Park, Beijing, 102206, China.
- Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, 102206, China.
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15
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Mou X, Miao W, Zhang W, Wang W, Ma Q, Du Z, Li X, Huang N, Yang Z. Zwitterionic polymers-armored amyloid-like protein surface combats thrombosis and biofouling. Bioact Mater 2024; 32:37-51. [PMID: 37810990 PMCID: PMC10556425 DOI: 10.1016/j.bioactmat.2023.09.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 09/06/2023] [Accepted: 09/06/2023] [Indexed: 10/10/2023] Open
Abstract
Proteins, cells and bacteria adhering to the surface of medical devices can lead to thrombosis and infection, resulting in significant clinical mortality. Here, we report a zwitterionic polymers-armored amyloid-like protein surface engineering strategy we called as "armored-tank" strategy for dual functionalization of medical devices. The "armored-tank" strategy is realized by decoration of partially conformational transformed LZM (PCTL) assembly through oxidant-mediated process, followed by armoring with super-hydrophilic poly-2-methacryloyloxyethyl phosphorylcholine (pMPC). The outer armor of the "armored-tank" shows potent and durable zone defense against fibrinogen, platelet and bacteria adhesion, leading to long-term antithrombogenic properties over 14 days in vivo without anticoagulation. Additionally, the "fired" PCTL from "armored-tank" actively and effectively kills both Gram-positive and Gram-negative bacterial over 30 days as a supplement to the lacking bactericidal functions of passive outer armor. Overall, this "armored-tank" surface engineering strategy serves as a promising solution for preventing biofouling and thrombotic occlusion of medical devices.
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Affiliation(s)
- Xiaohui Mou
- School of Materials Science and Engineering, Key Lab of Advanced Technology of Materials of Education Ministry, Southwest Jiaotong University, Chengdu, 610031, China
- Dongguan Key Laboratory of Smart Biomaterials and Regenerative Medicine, The Tenth Affiliated Hospital of Southern Medical University, Dongguan, Guangdong, 523000, China
| | - Wan Miao
- School of Materials Science and Engineering, Key Lab of Advanced Technology of Materials of Education Ministry, Southwest Jiaotong University, Chengdu, 610031, China
| | - Wentai Zhang
- Dongguan Key Laboratory of Smart Biomaterials and Regenerative Medicine, The Tenth Affiliated Hospital of Southern Medical University, Dongguan, Guangdong, 523000, China
| | - Wenxuan Wang
- School of Materials Science and Engineering, Key Lab of Advanced Technology of Materials of Education Ministry, Southwest Jiaotong University, Chengdu, 610031, China
| | - Qing Ma
- School of Materials Science and Engineering, Key Lab of Advanced Technology of Materials of Education Ministry, Southwest Jiaotong University, Chengdu, 610031, China
- Dongguan Key Laboratory of Smart Biomaterials and Regenerative Medicine, The Tenth Affiliated Hospital of Southern Medical University, Dongguan, Guangdong, 523000, China
| | - Zeyu Du
- School of Materials Science and Engineering, Key Lab of Advanced Technology of Materials of Education Ministry, Southwest Jiaotong University, Chengdu, 610031, China
- Dongguan Key Laboratory of Smart Biomaterials and Regenerative Medicine, The Tenth Affiliated Hospital of Southern Medical University, Dongguan, Guangdong, 523000, China
| | - Xin Li
- Department of Cardiology, Third People's Hospital of Chengdu Affiliated to Southwest Jiaotong University, Chengdu, Sichuan 610072, China
| | - Nan Huang
- School of Materials Science and Engineering, Key Lab of Advanced Technology of Materials of Education Ministry, Southwest Jiaotong University, Chengdu, 610031, China
| | - Zhilu Yang
- Dongguan Key Laboratory of Smart Biomaterials and Regenerative Medicine, The Tenth Affiliated Hospital of Southern Medical University, Dongguan, Guangdong, 523000, China
- Department of Cardiology, Third People's Hospital of Chengdu Affiliated to Southwest Jiaotong University, Chengdu, Sichuan 610072, China
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16
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Huang R, Situ Q, Lei J. Dynamics of cell-type transition mediated by epigenetic modifications. J Theor Biol 2024; 577:111664. [PMID: 37977478 DOI: 10.1016/j.jtbi.2023.111664] [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: 04/15/2023] [Revised: 10/20/2023] [Accepted: 11/06/2023] [Indexed: 11/19/2023]
Abstract
Maintaining tissue homeostasis requires appropriate regulation of stem cell differentiation. The Waddington landscape posits that gene circuits in a cell form a potential landscape of different cell types, wherein cells follow attractors of the probability landscape to develop into distinct cell types. However, how adult stem cells achieve a delicate balance between self-renewal and differentiation remains unclear. We propose that random inheritance of epigenetic states plays a pivotal role in stem cell differentiation and present a hybrid model of stem cell differentiation induced by epigenetic modifications. Our comprehensive model integrates gene regulation networks, epigenetic state inheritance, and cell regeneration, encompassing multi-scale dynamics ranging from transcription regulation to cell population. Through model simulations, we demonstrate that random inheritance of epigenetic states during cell divisions can spontaneously induce cell differentiation, dedifferentiation, and transdifferentiation. Furthermore, we investigate the influences of interfering with epigenetic modifications and introducing additional transcription factors on the probabilities of dedifferentiation and transdifferentiation, revealing the underlying mechanism of cell reprogramming. This in silico model provides valuable insights into the intricate mechanism governing stem cell differentiation and cell reprogramming and offers a promising path to enhance the field of regenerative medicine.
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Affiliation(s)
- Rongsheng Huang
- School of Science, Jimei University, Xiamen, Fujian, 361021, China
| | - Qiaojun Situ
- Zhou Pei-Yuan Center for Applied Mathematics, Tsinghua University, Beijing, 100084, China
| | - Jinzhi Lei
- School of Mathematical Sciences, Center for Applied Mathematics, Tiangong University, Tianjin, 300387, China.
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17
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Bruno S, Schlaeger TM, Del Vecchio D. Epigenetic OCT4 regulatory network: stochastic analysis of cellular reprogramming. NPJ Syst Biol Appl 2024; 10:3. [PMID: 38184707 PMCID: PMC10771499 DOI: 10.1038/s41540-023-00326-0] [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: 07/12/2023] [Accepted: 12/08/2023] [Indexed: 01/08/2024] Open
Abstract
Experimental studies have shown that chromatin modifiers have a critical effect on cellular reprogramming, i.e., the conversion of differentiated cells to pluripotent stem cells. Here, we develop a model of the OCT4 gene regulatory network that includes genes expressing chromatin modifiers TET1 and JMJD2, and the chromatin modification circuit on which these modifiers act. We employ this model to compare three reprogramming approaches that have been considered in the literature with respect to reprogramming efficiency and latency variability. These approaches are overexpression of OCT4 alone, overexpression of OCT4 with TET1, and overexpression of OCT4 with JMJD2. Our results show more efficient and less variable reprogramming when also JMJD2 and TET1 are overexpressed, consistent with previous experimental data. Nevertheless, TET1 overexpression can lead to more efficient reprogramming compared to JMJD2 overexpression. This is the case when the recruitment of DNA methylation by H3K9me3 is weak and the methyl-CpG-binding domain (MBD) proteins are sufficiently scarce such that they do not hamper TET1 binding to methylated DNA. The model that we developed provides a mechanistic understanding of existing experimental results and is also a tool for designing optimized reprogramming approaches that combine overexpression of cell-fate specific transcription factors (TFs) with targeted recruitment of epigenetic modifiers.
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Affiliation(s)
- Simone Bruno
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
| | - Thorsten M Schlaeger
- Boston Children's Hospital Stem Cell Program, Boston Children's Hospital, 300 Longwood Avenue, Boston, MA, 02115, USA
| | - Domitilla Del Vecchio
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
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18
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Ilia K, Shakiba N, Bingham T, Jones RD, Kaminski MM, Aravera E, Bruno S, Palacios S, Weiss R, Collins JJ, Del Vecchio D, Schlaeger TM. Synthetic genetic circuits to uncover the OCT4 trajectories of successful reprogramming of human fibroblasts. SCIENCE ADVANCES 2023; 9:eadg8495. [PMID: 38019912 PMCID: PMC10686568 DOI: 10.1126/sciadv.adg8495] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023]
Abstract
Reprogramming human fibroblasts to induced pluripotent stem cells (iPSCs) is inefficient, with heterogeneity among transcription factor (TF) trajectories driving divergent cell states. Nevertheless, the impact of TF dynamics on reprogramming efficiency remains uncharted. We develop a system that accurately reports OCT4 protein levels in live cells and use it to reveal the trajectories of OCT4 in successful reprogramming. Our system comprises a synthetic genetic circuit that leverages noise to generate a wide range of OCT4 trajectories and a microRNA targeting endogenous OCT4 to set total cellular OCT4 protein levels. By fusing OCT4 to a fluorescent protein, we are able to track OCT4 trajectories with clonal resolution via live-cell imaging. We discover that a supraphysiological, stable OCT4 level is required, but not sufficient, for efficient iPSC colony formation. Our synthetic genetic circuit design and high-throughput live-imaging pipeline are generalizable for investigating TF dynamics for other cell fate programming applications.
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Affiliation(s)
- Katherine Ilia
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science, MIT, Cambridge, MA 02139, USA
- Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Nika Shakiba
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z3 Canada
| | - Trevor Bingham
- Stem Cell Program, Boston Children’s Hospital, Boston, MA 02115, USA
- Harvard University, Boston, MA 02115, USA
| | - Ross D. Jones
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z3 Canada
| | - Michael M. Kaminski
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine in the Helmholtz-Association, Berlin 10115, Germany
- Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin Berlin, Medizinische Klinik m.S. Nephrologie und Intensivmedizin, Berlin 10117, Germany
- Berlin Institute of Health, Berlin 13125, Germany
| | - Eliezer Aravera
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY 11794, USA
| | - Simone Bruno
- Department of Mechanical Engineering, MIT, Cambridge, MA 02139, USA
| | - Sebastian Palacios
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science, MIT, Cambridge, MA 02139, USA
- Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Mechanical Engineering, MIT, Cambridge, MA 02139, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139, USA
| | - Ron Weiss
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139, USA
| | - James J. Collins
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
- Institute for Medical Engineering and Science, MIT, Cambridge, MA 02139, USA
- Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02215, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
| | - Domitilla Del Vecchio
- Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Mechanical Engineering, MIT, Cambridge, MA 02139, USA
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19
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Jin J, Xu F, Liu Z, Qi H, Yao C, Shuai J, Li X. Biphasic amplitude oscillator characterized by distinct dynamics of trough and crest. Phys Rev E 2023; 108:064412. [PMID: 38243441 DOI: 10.1103/physreve.108.064412] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 11/28/2023] [Indexed: 01/21/2024]
Abstract
Biphasic amplitude dynamics (BAD) of oscillation have been observed in many biological systems. However, the specific topology structure and regulatory mechanisms underlying these biphasic amplitude dynamics remain elusive. Here, we searched all possible two-node circuit topologies and identified the core oscillator that enables robust oscillation. This core oscillator consists of a negative feedback loop between two nodes and a self-positive feedback loop of the input node, which result in the fast and slow dynamics of the two nodes, thereby achieving relaxation oscillation. Landscape theory was employed to study the stochastic dynamics and global stability of the system, allowing us to quantitatively describe the diverse positions and sizes of the Mexican hat. With increasing input strength, the size of the Mexican hat exhibits a gradual increase followed by a subsequent decrease. The self-activation of input node and the negative feedback on input node, which dominate the fast dynamics of the input node, were observed to regulate BAD in a bell-shaped manner. Both deterministic and statistical analysis results reveal that BAD is characterized by the linear and nonlinear dependence of the oscillation trough and crest on the input strength. In addition, combining with computational and theoretical analysis, we addressed that the linear response of trough to input is predominantly governed by the negative feedback, while the nonlinear response of crest is jointly regulated by the negative feedback loop and the self-positive feedback loop within the oscillator. Overall, this study provides a natural and physical basis for comprehending the occurrence of BAD in oscillatory systems, yielding guidance for the design of BAD in synthetic biology applications.
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Affiliation(s)
- Jun Jin
- Department of Physics, Xiamen University, Xiamen, Fujian 361005, China
| | - Fei Xu
- Department of Physics, Anhui Normal University, Wuhu, Anhui 241002, China
| | - Zhilong Liu
- Department of Physics, Xiamen University, Xiamen, Fujian 361005, China
| | - Hong Qi
- Complex Systems Research Center, Shanxi University, Taiyuan, Shanxi 030006, China
| | - Chenggui Yao
- College of Data Science, Jiaxing University, Jiaxing, Zhejiang 314000, China
| | - Jianwei Shuai
- Department of Physics, Xiamen University, Xiamen, Fujian 361005, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) and Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
| | - Xiang Li
- Department of Physics, Xiamen University, Xiamen, Fujian 361005, China
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20
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Liu Y, Zhou Z, Wu S, Ni G, Zhang A, Tsimring LS, Hasty J, Hao N. Enhanced cellular longevity arising from environmental fluctuations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.05.547867. [PMID: 37461504 PMCID: PMC10350066 DOI: 10.1101/2023.07.05.547867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
Cellular longevity is regulated by both genetic and environmental factors. However, the interactions of these factors in the context of aging remain largely unclear. Here, we formulate a mathematical model for dynamic glucose modulation of a core gene circuit in yeast aging, which not only guided the design of pro-longevity interventions, but also revealed the theoretical principles underlying these interventions. We introduce the dynamical systems theory to capture two general means for promoting longevity - the creation of a stable fixed point in the "healthy" state of the cell and the dynamic stabilization of the system around this healthy state through environmental oscillations. Guided by the model, we investigate how both of these can be experimentally realized by dynamically modulating environmental glucose levels. The results establish a paradigm for theoretically analyzing the trajectories and perturbations of aging that can be generalized to aging processes in diverse cell types and organisms.
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Affiliation(s)
- Yuting Liu
- Department of Molecular Biology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Zhen Zhou
- Department of Molecular Biology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Songlin Wu
- Department of Molecular Biology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Gavin Ni
- Department of Molecular Biology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Alex Zhang
- Department of Molecular Biology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Lev S. Tsimring
- Synthetic Biology Institute, University of California San Diego, La Jolla, CA 92093, USA
| | - Jeff Hasty
- Department of Molecular Biology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
- Synthetic Biology Institute, University of California San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Nan Hao
- Department of Molecular Biology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
- Synthetic Biology Institute, University of California San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
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21
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Diniz-Gonçalves GS, Hielm-Björkman A, da Silva VB, Ribeiro LGR, da Costa Vieira-Filho CH, Silva LP, Barrouin-Melo SM, Cassali GD, Damasceno KA, Estrela-Lima A. GATA-3 expression and its correlation with prognostic factors and survival in canine mammary tumors. Front Vet Sci 2023; 10:1179808. [PMID: 37483298 PMCID: PMC10356988 DOI: 10.3389/fvets.2023.1179808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 06/19/2023] [Indexed: 07/25/2023] Open
Abstract
Introduction The transcription factor GATA-3 plays a significant role in mammary gland development and differentiation. Recent studies on human oncology have demonstrated its association with favorable pathologic factors in breast cancer. Canine mammary tumours, proposed as comparative and translational study models, have epidemiological, clinical, biological, and genetic characteristics similar to those of human breast cancers. Methods Here, we evaluated the frequency of GATA-3 expression in mammary tumors of dogs and its relationship with prognostic factors and survival. Tumor samples were obtained from 40 female dogs and grouped according to histological type into benign tumors (n = 10), carcinoma in mixed tumors (CMTs) (n = 20), and aggressive tumors (n = 10). CMTs were further separated according to histological grade, and data on clinical staging and diagnosis, histopathological grading, and survival rate were collected. Results GATA-3 and estrogen receptor (ER) expression were higher in benign and well-differentiated carcinomas than in aggressive tumors, which showed greater Ki-67 expression. The expression rate of ER in the studied groups was equivalent to that of GATA-3. We identified a strong positive correlation between GATA-3 and ER expression frequencies and a negative correlation between those of GATA-3 and Ki-67. There were associations between GATA-3 (p < 0.001), Ki-67 (p = 0.003), tumor size (p < 0.001), clinical stage (p = 0.002), lymph node metastasis (p < 0.001), and histological grade (p < 0.001) by univariate survival analysis. The parameters ER (p = 0.015) and GATA-3 (p = 0.005) also influenced survival in a multifactorial manner. Discussion Kaplan-Meier analysis of survival curves validated our previous findings that dogs with GATA-3 expression in ≥79.4% of cells had significantly higher survival rates (p < 0.001). The performance analysis showed that the expression of GATA-3 in ≥79.4% of cells effectively predicted survival or death in dogs with mammary tumors. Collectively, these results suggest that GATA-3 can be a relevant marker in the study of mammary tumor progression and has potential as a prognosis marker for predicting outcomes in canine mammary tumors.
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Affiliation(s)
| | - Anna Hielm-Björkman
- DogRisk Research Group, Department of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
| | - Vanessa Bonfim da Silva
- Research Center on Mammary Oncology NPqOM/HOSPMEV, Federal University of Bahia, Salvador, Brazil
| | - Lorena Gabriela Rocha Ribeiro
- Laboratory of Animal Pathology, Department of Veterinary Medicine, Federal University of Sergipe, São Cristóvão, Brazil
| | | | - Laís Pereira Silva
- Research Center on Mammary Oncology NPqOM/HOSPMEV, Federal University of Bahia, Salvador, Brazil
| | - Stella Maria Barrouin-Melo
- DogRisk Research Group, Department of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Anatomy, Pathology and Clinics, School of Veterinary Medicine and Zootechny, Federal University of Bahia, Salvador, Brazil
| | - Geovanni Dantas Cassali
- Laboratory of Comparative Pathology, Department of General Pathology, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Karine Araújo Damasceno
- Experimental Pathology Laboratory (LAPEX), Gonçalo Moniz Institute, Oswaldo Cruz Foundation (FIOCRUZ), Salvador, Brazil
| | - Alessandra Estrela-Lima
- Research Center on Mammary Oncology NPqOM/HOSPMEV, Federal University of Bahia, Salvador, Brazil
- DogRisk Research Group, Department of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
- Department of Veterinary Anatomy, Pathology and Clinics, School of Veterinary Medicine and Zootechny, Federal University of Bahia, Salvador, Brazil
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22
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Liu C, Sun L, Tan Y, Wang Q, Luo T, Li C, Yao N, Xie Y, Yi X, Zhu Y, Guo T, Ji J. USP7 represses lineage differentiation genes in mouse embryonic stem cells by both catalytic and noncatalytic activities. SCIENCE ADVANCES 2023; 9:eade3888. [PMID: 37196079 DOI: 10.1126/sciadv.ade3888] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 04/12/2023] [Indexed: 05/19/2023]
Abstract
USP7, a ubiquitin-specific peptidase (USP), plays an important role in many cellular processes through its catalytic deubiquitination of various substrates. However, its nuclear function that shapes the transcriptional network in mouse embryonic stem cells (mESCs) remains poorly understood. We report that USP7 maintains mESC identity through both catalytic activity-dependent and -independent repression of lineage differentiation genes. Usp7 depletion attenuates SOX2 levels and derepresses lineage differentiation genes thereby compromising mESC pluripotency. Mechanistically, USP7 deubiquitinates and stabilizes SOX2 to repress mesoendodermal (ME) lineage genes. Moreover, USP7 assembles into RYBP-variant Polycomb repressive complex 1 and contributes to Polycomb chromatin-mediated repression of ME lineage genes in a catalytic activity-dependent manner. USP7 deficiency in its deubiquitination function is able to maintain RYBP binding to chromatin for repressing primitive endoderm-associated genes. Our study demonstrates that USP7 harbors both catalytic and noncatalytic activities to repress different lineage differentiation genes, thereby revealing a previously unrecognized role in controlling gene expression for maintaining mESC identity.
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Affiliation(s)
- Chao Liu
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
- Zhejiang University-University of Edinburgh Institute, Zhejiang University School of Medicine, Haining 314400, China
| | - Lingang Sun
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yijun Tan
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Qi Wang
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Tao Luo
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Chenlu Li
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Nan Yao
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310030, China
- Center for Infectious Disease Research, Hangzhou 310030, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310030, China
| | - Yuting Xie
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310030, China
- Center for Infectious Disease Research, Hangzhou 310030, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310030, China
| | - Xiao Yi
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310030, China
- Center for Infectious Disease Research, Hangzhou 310030, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310030, China
| | - Yi Zhu
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310030, China
- Center for Infectious Disease Research, Hangzhou 310030, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310030, China
| | - Tiannan Guo
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310030, China
- Center for Infectious Disease Research, Hangzhou 310030, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310030, China
| | - Junfeng Ji
- Center of Stem Cell and Regenerative Medicine, and Bone Marrow Transplantation Center of the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
- Zhejiang Engineering Laboratory for Stem Cell and Immunotherapy, Institute of Hematology, Zhejiang University, Hangzhou 310058, China
- Department of Geriatrics, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China
- Eye Center, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, Zhejiang 310009, China
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23
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Wang B, Li C, Ming J, Wu L, Fang S, Huang Y, Lin L, Liu H, Kuang J, Zhao C, Huang X, Feng H, Guo J, Yang X, Guo L, Zhang X, Chen J, Liu J, Zhu P, Pei D. The NuRD complex cooperates with SALL4 to orchestrate reprogramming. Nat Commun 2023; 14:2846. [PMID: 37208322 DOI: 10.1038/s41467-023-38543-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 05/08/2023] [Indexed: 05/21/2023] Open
Abstract
Cell fate decision involves rewiring of the genome, but remains poorly understood at the chromatin level. Here, we report that chromatin remodeling complex NuRD participates in closing open chromatin in the early phase of somatic reprogramming. Sall4, Jdp2, Glis1 and Esrrb can reprogram MEFs to iPSCs efficiently, but only Sall4 is indispensable capable of recruiting endogenous components of NuRD. Yet knocking down NuRD components only reduces reprogramming modestly, in contrast to disrupting the known Sall4-NuRD interaction by mutating or deleting the NuRD interacting motif at its N-terminus that renders Sall4 inept to reprogram. Remarkably, these defects can be partially rescured by grafting NuRD interacting motif onto Jdp2. Further analysis of chromatin accessibility dynamics demonstrates that the Sall4-NuRD axis plays a critical role in closing the open chromatin in the early phase of reprogramming. Among the chromatin loci closed by Sall4-NuRD encode genes resistant to reprogramming. These results identify a previously unrecognized role of NuRD in reprogramming, and may further illuminate chromatin closing as a critical step in cell fate control.
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Affiliation(s)
- Bo Wang
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China
- Center for Cell Lineage and Atlas (CCLA), Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chen Li
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jin Ming
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Linlin Wu
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China
| | - Shicai Fang
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
- Joint School of Life Science, Guangzhou Medical University-Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Yi Huang
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
- Joint School of Life Science, Guangzhou Medical University-Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Lihui Lin
- Center for Cell Lineage and Atlas (CCLA), Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
- Guangzhou Branch of the Supercomputing Center of Chinese Academy of Sciences, Guangzhou, China
| | - He Liu
- Center for Cell Lineage and Atlas (CCLA), Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
| | - Junqi Kuang
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
- Guangzhou Branch of the Supercomputing Center of Chinese Academy of Sciences, Guangzhou, China
| | - Chengchen Zhao
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China
| | - Xingnan Huang
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China
| | - Huijian Feng
- Center for Cell Lineage and Atlas (CCLA), Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jing Guo
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
| | - Xuejie Yang
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
| | - Liman Guo
- Center for Cell Lineage and Atlas (CCLA), Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Xiaofei Zhang
- Center for Cell Lineage and Atlas (CCLA), Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
| | - Jiekai Chen
- Center for Cell Lineage and Atlas (CCLA), Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
| | - Jing Liu
- Center for Cell Lineage and Atlas (CCLA), Bioland Laboratory, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academic of Sciences, Guangzhou, China
| | - Ping Zhu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Pathogenesis, Targeted Prevention and Treatment of Heart Disease, Guangzhou Key Laboratory of Cardiac Pathogenesis and Prevention, Guangzhou, China.
| | - Duanqing Pei
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China.
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24
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Kim J, Hwang Y, Kim S, Chang Y, Kim Y, Kwon Y, Kim J. Transcriptional activation of endogenous Oct4 via the CRISPR/dCas9 activator ameliorates Hutchinson-Gilford progeria syndrome in mice. Aging Cell 2023:e13825. [PMID: 36964992 DOI: 10.1111/acel.13825] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 02/13/2023] [Accepted: 02/19/2023] [Indexed: 03/27/2023] Open
Abstract
Partial cellular reprogramming via transient expression of Oct4, Sox2, Klf4, and c-Myc induces rejuvenation and reduces aged-cell phenotypes. In this study, we found that transcriptional activation of the endogenous Oct4 gene by using the CRISPR/dCas9 activator system can efficiently ameliorate hallmarks of aging in a mouse model of Hutchinson-Gilford progeria syndrome (HGPS). We observed that the dCas9-Oct4 activator induced epigenetic remodeling, as evidenced by increased H3K9me3 and decreased H4K20me3 levels, without tumorization. Moreover, the progerin accumulation in HGPS aorta was significantly suppressed by the dCas9 activator-mediated Oct4 induction. Importantly, CRISPR/dCas9-activated Oct4 expression rescued the HGPS-associated vascular pathological features and lifespan shortening in the mouse model. These results suggest that partial rejuvenation via CRISPR/dCas9-mediated Oct4 activation can be used as a novel strategy in treating geriatric diseases.
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Affiliation(s)
- Junyeop Kim
- Laboratory of Stem Cells & Cell reprogramming, Department of Chemistry, Dongguk University, 100-715, Seoul, Korea
| | - Yerim Hwang
- Laboratory of Stem Cells & Cell reprogramming, Department of Chemistry, Dongguk University, 100-715, Seoul, Korea
| | - Sumin Kim
- Laboratory of Stem Cells & Cell reprogramming, Department of Chemistry, Dongguk University, 100-715, Seoul, Korea
| | - Yujung Chang
- Laboratory of Stem Cells & Cell reprogramming, Department of Chemistry, Dongguk University, 100-715, Seoul, Korea
| | - Yunkyung Kim
- Laboratory of Stem Cells & Cell reprogramming, Department of Chemistry, Dongguk University, 100-715, Seoul, Korea
| | - Youngeun Kwon
- Laboratory of Protein Engineering, Department of Biomedical Engineering, Dongguk University, 04620, Seoul, Korea
| | - Jongpil Kim
- Laboratory of Stem Cells & Cell reprogramming, Department of Chemistry, Dongguk University, 100-715, Seoul, Korea
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25
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Tian Z, Yu T, Liu J, Wang T, Higuchi A. Introduction to stem cells. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2023; 199:3-32. [PMID: 37678976 DOI: 10.1016/bs.pmbts.2023.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Stem cells have self-renewal capability and can proliferate and differentiate into a variety of functionally active cells that can serve in various tissues and organs. This review discusses the history, definition, and classification of stem cells. Human pluripotent stem cells (hPSCs) mainly include embryonic stem cells (hESCs) and induced pluripotent stem cells (hiPSCs). Embryonic stem cells are derived from the inner cell mass of the embryo. Induced pluripotent stem cells are derived from reprogramming somatic cells. Pluripotent stem cells have the ability to differentiate into cells derived from all three germ layers (endoderm, mesoderm, and ectoderm). Adult stem cells can be multipotent or unipotent and can produce tissue-specific terminally differentiated cells. Stem cells can be used in cell therapy to replace and regenerate damaged tissues or organs.
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Affiliation(s)
- Zeyu Tian
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China
| | - Tao Yu
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China
| | - Jun Liu
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China
| | - Ting Wang
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China.
| | - Akon Higuchi
- State Key Laboratory of Ophthalmology, Optometry and Visual Science, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, P.R. China; Department of Chemical and Materials Engineering, National Central University, Jhongli, Taoyuan, Taiwan.
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26
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Cao L, Wang R, Liu G, Zhang Y, Thorne RF, Zhang XD, Li J, Xia Y, Guo L, Shao F, Gu H, Wu M. Glycolytic Pfkp acts as a Lin41 protein kinase to promote endodermal differentiation of embryonic stem cells. EMBO Rep 2023; 24:e55683. [PMID: 36660859 PMCID: PMC9986826 DOI: 10.15252/embr.202255683] [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: 06/30/2022] [Revised: 12/21/2022] [Accepted: 01/03/2023] [Indexed: 01/21/2023] Open
Abstract
Unveiling the principles governing embryonic stem cell (ESC) differentiation into specific lineages is critical for understanding embryonic development and for stem cell applications in regenerative medicine. Here, we establish an intersection between LIF-Stat3 signaling that is essential for maintaining murine (m) ESCs pluripotency, and the glycolytic enzyme, the platelet isoform of phosphofructokinase (Pfkp). In the pluripotent state, Stat3 transcriptionally suppresses Pfkp in mESCs while manipulating the cells to lift this repression results in differentiation towards the ectodermal lineage. Pfkp exhibits substrate specificity changes to act as a protein kinase, catalyzing serine phosphorylation of the developmental regulator Lin41. Such phosphorylation stabilizes Lin41 by impeding its autoubiquitination and proteasomal degradation, permitting Lin41-mediated binding and destabilization of mRNAs encoding ectodermal specification markers to favor the expression of endodermal specification genes. This provides new insights into the wiring of pluripotency-differentiation circuitry where Pfkp plays a role in germ layer specification during mESC differentiation.
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Affiliation(s)
- Leixi Cao
- Translational Research Institute, Henan Provincial People's Hospital, Academy of Medical ScienceZhengzhou UniversityZhengzhouChina
| | - Ruijie Wang
- Translational Research Institute, Henan Provincial People's Hospital, Academy of Medical ScienceZhengzhou UniversityZhengzhouChina
| | - Guangzhi Liu
- Translational Research Institute, Henan Provincial People's Hospital, Academy of Medical ScienceZhengzhou UniversityZhengzhouChina
| | - Yuwei Zhang
- Translational Research Institute, Henan Provincial People's Hospital, Academy of Medical ScienceZhengzhou UniversityZhengzhouChina
| | - Rick Francis Thorne
- Translational Research Institute, Henan Provincial People's Hospital, Academy of Medical ScienceZhengzhou UniversityZhengzhouChina
- School of Biomedical Sciences & PharmacyUniversity of NewcastleNewcastleNSWAustralia
| | - Xu Dong Zhang
- Translational Research Institute, Henan Provincial People's Hospital, Academy of Medical ScienceZhengzhou UniversityZhengzhouChina
- School of Environmental & Life SciencesUniversity of NewcastleNewcastleNSWAustralia
| | - Jinming Li
- Translational Research Institute, Henan Provincial People's Hospital, Academy of Medical ScienceZhengzhou UniversityZhengzhouChina
| | - Yang Xia
- Department of Immunology, School of Basic Medical SciencesAnhui Medical UniversityHefeiChina
| | - Lili Guo
- Department of Immunology, School of Basic Medical SciencesAnhui Medical UniversityHefeiChina
| | - Fengmin Shao
- Translational Research Institute, Henan Provincial People's Hospital, Academy of Medical ScienceZhengzhou UniversityZhengzhouChina
| | - Hao Gu
- Department of Immunology, School of Basic Medical SciencesAnhui Medical UniversityHefeiChina
| | - Mian Wu
- Translational Research Institute, Henan Provincial People's Hospital, Academy of Medical ScienceZhengzhou UniversityZhengzhouChina
- School of Clinical MedicineHenan UniversityZhengzhouChina
- CAS Centre for Excellence in Molecular Cell Sciencethe First Affiliated Hospital of University of Science and Technology of ChinaHefeiChina
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Bruno S, Vecchio DD. The epigenetic Oct4 gene regulatory network: stochastic analysis of different cellular reprogramming approaches. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.01.530689. [PMID: 36909486 PMCID: PMC10002722 DOI: 10.1101/2023.03.01.530689] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
In the last decade, several experimental studies have shown how chromatin modifications (histone modifications and DNA methylation) and their effect on DNA compaction have a critical effect on cellular reprogramming, i.e., the conversion of differentiated cells to a pluripotent state. In this paper, we compare three reprogramming approaches that have been considered in the literature: (a) prefixed overexpression of transcription factors (TFs) alone (Oct4), (b) prefixed overexpression of Oct4 and DNA methylation "eraser" TET, and (c) prefixed overexpression of Oct4 and H3K9me3 eraser JMJD2. To this end, we develop a model of the pluritpotency gene regulatory network, that includes, for each gene, a circuit recently published encapsulating the main interactions among chromatin modifications and their effect on gene expression. We then conduct a computational study to evaluate, for each reprogramming approach, latency and variability. Our results show a faster and less stochastic reprogramming process when also eraser enzymes are overexpressed, consistent with previous experimental data. However, TET overexpression leads to a faster and more efficient reprogramming compared to JMJD2 overexpression when the recruitment of DNA methylation by H3K9me3 is weak and the MBD protein level is sufficiently low such that it does not hamper TET binding to methylated DNA. The model developed here provides a mechanistic understanding of the outcomes of former experimental studies and is also a tool for the development of optimized reprogramming approaches that combine TF overexpression with modifiers of chromatin state.
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Affiliation(s)
- Simone Bruno
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139
| | - Domitilla Del Vecchio
- Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139
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Li Z, Li Y, Zhang Q, Ge W, Zhang Y, Zhao X, Hu J, Yuan L, Zhang W. Establishment of Bactrian Camel Induced Pluripotent Stem Cells and Prediction of Their Unique Pluripotency Genes. Int J Mol Sci 2023; 24:ijms24031917. [PMID: 36768240 PMCID: PMC9916525 DOI: 10.3390/ijms24031917] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 01/05/2023] [Accepted: 01/15/2023] [Indexed: 01/21/2023] Open
Abstract
Induced pluripotent stem cells (iPSCs) can differentiate into all types of cells and can be used in livestock for research on biological development, genetic breeding, and in vitro genetic resource conservation. The Bactrian camel is a large domestic animal that inhabits extreme environments and holds value in the treatment of various diseases and the development of the local economy. Therefore, we transferred four mouse genes (Oct4, Sox2, Klf4, and c-Myc) into Bactrian camel fetal fibroblasts (BCFFs) using retroviruses with a large host range to obtain Bactrian camel induced pluripotent stem cells (bciPSCs). They were comprehensively identified based on cell morphology, pluripotency gene and marker expression, chromosome number, transcriptome sequencing, and differentiation potential. The results showed the pluripotency of bciPSCs. However, unlike stem cells of other species, late formation of stem cell clones was observed; moreover, the immunofluorescence of SSEA1, SSEA3, and SSEA4 were positive, and teratoma formation took four months. These findings may be related to the extremely long gestation period and species specificity of Bactrian camels. By mining RNA sequence data, 85 potential unique pluripotent genes of Bactrian camels were predicted, which could be used as candidate genes for the production of bciPSC in the future. Among them, ASF1B, DTL, CDCA5, PROM1, CYTL1, NUP210, Epha3, and SYT13 are more attractive. In conclusion, we generated bciPSCs for the first time and obtained their transcriptome information, expanding the iPSC genetic information database and exploring the applicability of iPSCs in livestock. Our results can provide an experimental basis for Bactrian camel ESC establishment, developmental research, and genetic resource conservation.
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Affiliation(s)
- Zongshuai Li
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China
- Gansu Key Laboratory of Animal Generational Physiology and Reproductive Regulation, Gansu Agricultural University, Lanzhou 730070, China
| | - Yina Li
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China
- Gansu Key Laboratory of Animal Generational Physiology and Reproductive Regulation, Gansu Agricultural University, Lanzhou 730070, China
| | - Qiran Zhang
- Gansu Key Laboratory of Animal Generational Physiology and Reproductive Regulation, Gansu Agricultural University, Lanzhou 730070, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Wenbo Ge
- Chinese Academy of Agricultural Sciences Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Lanzhou 730070, China
| | - Yong Zhang
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China
- Gansu Key Laboratory of Animal Generational Physiology and Reproductive Regulation, Gansu Agricultural University, Lanzhou 730070, China
- Correspondence:
| | - Xingxu Zhao
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China
- Gansu Key Laboratory of Animal Generational Physiology and Reproductive Regulation, Gansu Agricultural University, Lanzhou 730070, China
| | - Junjie Hu
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China
- Gansu Key Laboratory of Animal Generational Physiology and Reproductive Regulation, Gansu Agricultural University, Lanzhou 730070, China
| | - Ligang Yuan
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China
| | - Wangdong Zhang
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China
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Nuclear Factor I-C Regulates Stemness Genes and Proliferation of Stem Cells in Various Mineralized Tissue through Epithelial-Mesenchymal Interactions in Dental Epithelial Stem Cells. Stem Cells Int 2022; 2022:1092184. [PMID: 36213683 PMCID: PMC9533135 DOI: 10.1155/2022/1092184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 08/17/2022] [Indexed: 11/17/2022] Open
Abstract
Tooth development includes numerous cell divisions and cell-cell interactions generating the stem cell niche. After an indefinite number of divisions, pluripotent cells differentiate into various types of cells. Nuclear factor I (NFI) transcription factors are known as crucial regulators in various organ development and stem cell biology. Among its members, nuclear factor I-C (NFI-C) has been reported to play an essential role in odontogenesis. Nfic knockout mice show malformation in all mineralized tissues, but it remains unclear which stage of development Nfic is involved in. We previously reported that Nfic induces the differentiation of ameloblast, odontoblast, and osteoblast. However, the question remains whether Nfic participates in the late stage of development, perpetuating the proliferation of stem cells. This study aimed to elucidate the underlying mechanism of NFI-C function in stem cells capable of forming hard tissues. Here, we demonstrate that Nfic regulates Sox2 and cell proliferation in diverse mineralized tissue stem cells such as dental epithelial stem cells (DESCs), dental pulp stem cells, and bone marrow stem cells, but not in fibroblasts. It was also involved in the expression of pluripotency genes Lin28 and NANOG. Especially in DESCs, Nfic regulates the proliferation of epithelial cells via epithelial-mesenchymal interactions, which are the Fgf8-Nfic-Sox2 pathway in epithelium and Nfic-Fgf10 in the mesenchyme. Moreover, Nfic slightly increased reprogramming efficiency in induced pluripotent stem cells of mineralized tissues, but not in soft tissues. In conclusion, these results suggest that Nfic is a crucial factor for maintaining the stem cell niche of mineralized tissues and provides a possibility for Nfic as an additional factor in improving reprogramming efficiency.
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Hersbach BA, Fischer DS, Masserdotti G, Deeksha, Mojžišová K, Waltzhöni T, Rodriguez‐Terrones D, Heinig M, Theis FJ, Götz M, Stricker SH. Probing cell identity hierarchies by fate titration and collision during direct reprogramming. Mol Syst Biol 2022; 18:e11129. [PMID: 36106915 PMCID: PMC9476893 DOI: 10.15252/msb.202211129] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/01/2022] [Accepted: 08/17/2022] [Indexed: 11/17/2022] Open
Abstract
Despite the therapeutic promise of direct reprogramming, basic principles concerning fate erasure and the mechanisms to resolve cell identity conflicts remain unclear. To tackle these fundamental questions, we established a single-cell protocol for the simultaneous analysis of multiple cell fate conversion events based on combinatorial and traceable reprogramming factor expression: Collide-seq. Collide-seq revealed the lack of a common mechanism through which fibroblast-specific gene expression loss is initiated. Moreover, we found that the transcriptome of converting cells abruptly changes when a critical level of each reprogramming factor is attained, with higher or lower levels not contributing to major changes. By simultaneously inducing multiple competing reprogramming factors, we also found a deterministic system, in which titration of fates against each other yields dominant or colliding fates. By investigating one collision in detail, we show that reprogramming factors can disturb cell identity programs independent of their ability to bind their target genes. Taken together, Collide-seq has shed light on several fundamental principles of fate conversion that may aid in improving current reprogramming paradigms.
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Affiliation(s)
- Bob A Hersbach
- Institute of Stem Cell Research, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
- Division of Physiological Genomics, Biomedical Center MunichLudwig‐Maximilians UniversityMunichGermany
- Graduate School of Systemic Neurosciences, BiocenterLudwig‐Maximilians UniversityMunichGermany
| | - David S Fischer
- Institute of Computational Biology, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
- TUM School of Life Sciences WeihenstephanTechnical University of MunichFreisingGermany
- Department of InformaticsTechnical University of MunichMunichGermany
| | - Giacomo Masserdotti
- Institute of Stem Cell Research, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
- Division of Physiological Genomics, Biomedical Center MunichLudwig‐Maximilians UniversityMunichGermany
| | - Deeksha
- Institute of Stem Cell Research, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
- Division of Physiological Genomics, Biomedical Center MunichLudwig‐Maximilians UniversityMunichGermany
| | - Karolina Mojžišová
- Institute of Computational Biology, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
| | - Thomas Waltzhöni
- Institute of Computational Biology, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
- Core Facility GenomicsHelmholtz Zentrum MünchenOberschleißheimGermany
| | - Diego Rodriguez‐Terrones
- Institute of Computational Biology, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
- Present address:
Research Institute of Molecular Pathology (IMP)ViennaAustria
| | - Matthias Heinig
- Institute of Computational Biology, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
- Department of InformaticsTechnical University of MunichMunichGermany
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
- TUM School of Life Sciences WeihenstephanTechnical University of MunichFreisingGermany
- Department of InformaticsTechnical University of MunichMunichGermany
- German Excellence Cluster of Systems NeurologyBiomedical Center MunichMunichGermany
| | - Magdalena Götz
- Institute of Stem Cell Research, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
- Division of Physiological Genomics, Biomedical Center MunichLudwig‐Maximilians UniversityMunichGermany
- German Excellence Cluster of Systems NeurologyBiomedical Center MunichMunichGermany
| | - Stefan H Stricker
- Institute of Stem Cell Research, Helmholtz Zentrum MünchenGerman Research Center for Environmental HealthOberschleißheimGermany
- Division of Physiological Genomics, Biomedical Center MunichLudwig‐Maximilians UniversityMunichGermany
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31
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Andersson E, Sjö M, Kaji K, Olariu V. CELLoGeNe - An energy landscape framework for logical networks controlling cell decisions. iScience 2022; 25:104743. [PMID: 35942105 PMCID: PMC9356104 DOI: 10.1016/j.isci.2022.104743] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/01/2022] [Accepted: 07/05/2022] [Indexed: 11/29/2022] Open
Abstract
Experimental and computational efforts are constantly made to elucidate mechanisms controlling cell fate decisions during development and reprogramming. One powerful computational method is to consider cell commitment and reprogramming as movements in an energy landscape. Here, we develop Computation of Energy Landscapes of Logical Gene Networks (CELLoGeNe), which maps Boolean implementation of gene regulatory networks (GRNs) into energy landscapes. CELLoGeNe removes inadvertent symmetries in the energy landscapes normally arising from standard Boolean operators. Furthermore, CELLoGeNe provides tools to visualize and stochastically analyze the shapes of multi-dimensional energy landscapes corresponding to epigenetic landscapes for development and reprogramming. We demonstrate CELLoGeNe on two GRNs governing different aspects of induced pluripotent stem cells, identifying experimentally validated attractors and revealing potential reprogramming roadblocks. CELLoGeNe is a general framework that can be applied to various biological systems offering a broad picture of intracellular dynamics otherwise inaccessible with existing methods. CELLoGeNe – Computation of Energy Landscapes of Logical Gene Networks Cell states as landscape attractors Maintenance and acquisition of cell pluripotency applications Single cell stochastic landscape navigation and visualization tool
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32
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Li X, Zhang P, Yin Z, Xu F, Yang ZH, Jin J, Qu J, Liu Z, Qi H, Yao C, Shuai J. Caspase-1 and Gasdermin D Afford the Optimal Targets with Distinct Switching Strategies in NLRP1b Inflammasome-Induced Cell Death. Research (Wash D C) 2022; 2022:9838341. [PMID: 35958114 PMCID: PMC9343085 DOI: 10.34133/2022/9838341] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 06/17/2022] [Indexed: 12/12/2022] Open
Abstract
Inflammasomes are essential complexes of innate immune system, which form the first line of host defense against pathogens. Mounting evidence accumulates that inflammasome signaling is highly correlated with coronavirus disease 2019 (COVID-19). However, there remains a significant gap in our understanding of the regulatory mechanism of inflammasome signaling. Combining mathematical modeling with experimental analysis of NLRP1b inflammasome signaling, we found that only the expression levels of caspase-1 and GSDMD have the potential to individually switch cell death modes. Reduction of caspase-1 or GSDMD switches cell death from pyroptosis to apoptosis. Caspase-1 and GSDMD present different thresholds and exert distinct pathway choices in switching death modes. Pyroptosis switches to apoptosis with an extremely low threshold level of caspase-1, but with a high threshold of GSDMD. Caspase-1-impaired cells employ ASC-caspase-8-dependent pathway for apoptosis, while GSDMD-impaired cells primarily utilize caspase-1-dependent pathway. Additionally, caspase-1 and GSDMD can severally ignite the cooccurrence of pyroptosis and apoptosis. Landscape topography unravels that the cooccurrence is dramatically different in caspase-1- and GSDMD-impaired cells. Besides pyroptosis state and apoptosis state, a potential new “coexisting” state in single cells is proposed when GSDMD acts as the driving force of the landscape. The “seesaw model” is therefore proposed, which can well describe the death states that are controlled by caspase-1 or GSDMD in single cells. Our study sheds new light on NLRP1b inflammasome signaling and uncovers the switching mechanisms among various death modes, providing potential clues to guide the development of more rational control strategies for diseases.
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Affiliation(s)
- Xiang Li
- Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
- National Institute for Data Science in Health and Medicine and State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Peipei Zhang
- National Institute for Data Science in Health and Medicine and State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Zhiyong Yin
- Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
| | - Fei Xu
- Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
| | - Zhang-Hua Yang
- National Institute for Data Science in Health and Medicine and State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Jun Jin
- Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
| | - Jing Qu
- Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
| | - Zhilong Liu
- Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
| | - Hong Qi
- Complex Systems Research Center, Shanxi University, Shanxi, Taiyuan 030006, China
| | - Chenggui Yao
- College of Data Science, Jiaxing University, Jiaxing 314000, China
| | - Jianwei Shuai
- Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
- National Institute for Data Science in Health and Medicine and State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health) and Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
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33
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Guan C, Qiao L, Xiong Y, Zhang L, Jiao Y. Coactivation of antagonistic genes stabilizes polarity patterning during shoot organogenesis. SCIENCE ADVANCES 2022; 8:eabn0368. [PMID: 35675392 PMCID: PMC9176745 DOI: 10.1126/sciadv.abn0368] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 04/22/2022] [Indexed: 06/15/2023]
Abstract
Spatiotemporal patterns of gene expression are instrumental to morphogenesis. A stable pattern interface, often between reciprocal-inhibiting morphogens, must be robustly maintained after initial patterning cues diminish, organ growth, or organ geometry changes. In plants, floral and leaf primordia obtain the adaxial-abaxial pattern at the shoot apical meristem periphery. However, it is unknown how the pattern is maintained after primordia have left the shoot apex. Here, through a combination of computational simulations, time-lapse imaging, and genetic analysis, we propose a model in which auxin simultaneously promotes both adaxial and abaxial domains of expression. Furthermore, we identified multilevel feedback regulation of auxin signaling to refine the spatiotemporal patterns. Our results demonstrate that coactivation by auxin determines and stabilizes antagonistic adaxial-abaxial patterning during aerial organ formation.
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Affiliation(s)
- Chunmei Guan
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Lingxia Qiao
- Beijing International Center for Mathematical Research, Center for Quantitative Biology, Peking University, Beijing 100871, China
| | - Yuanyuan Xiong
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | - Lei Zhang
- Beijing International Center for Mathematical Research, Center for Quantitative Biology, Peking University, Beijing 100871, China
| | - Yuling Jiao
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing 100101, China
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences, Center for Quantitative Biology, Peking University, Beijing 100871, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
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34
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Scheurlen KM, Chariker JH, Kanaan Z, Littlefield AB, George JB, Seraphine C, Rochet A, Rouchka EC, Galandiuk S. The NOTCH4-GATA4-IRG1 axis as a novel target in early-onset colorectal cancer. Cytokine Growth Factor Rev 2022; 67:25-34. [PMID: 35941043 DOI: 10.1016/j.cytogfr.2022.06.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 06/27/2022] [Indexed: 11/24/2022]
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35
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Abstract
POUV is a relatively newly emerged class of POU transcription factors present in jawed vertebrates (Gnathostomata). The function of POUV-class proteins is inextricably linked to zygotic genome activation (ZGA). A large body of evidence now extends the role of these proteins to subsequent developmental stages. While some functions resemble those of other POU-class proteins and are related to neuroectoderm development, others have emerged de novo. The most notable of the latter functions is pluripotency control by Oct4 in mammals. In this review, we focus on these de novo functions in the best-studied species harbouring POUV proteins-zebrafish, Xenopus (anamniotes) and mammals (amniotes). Despite the broad diversity of their biological functions in vertebrates, POUV proteins exert a common feature related to their role in safeguarding the undifferentiated state of cells. Here we summarize numerous pieces of evidence for these specific functions of the POUV-class proteins and recap available loss-of-function data.
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Affiliation(s)
- Evgeny I. Bakhmet
- Laboratory of the Molecular Biology of Stem Cells, Institute of Cytology, Russian Academy of Sciences, St Petersburg, Russia
| | - Alexey N. Tomilin
- Laboratory of the Molecular Biology of Stem Cells, Institute of Cytology, Russian Academy of Sciences, St Petersburg, Russia
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36
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Zhu L, Li X, Xu F, Yin Z, Jin J, Liu Z, Qi H, Shuai J. Network modeling-based identification of the switching targets between pyroptosis and secondary pyroptosis. CHAOS, SOLITONS, AND FRACTALS 2022; 155:111724. [PMID: 36570873 PMCID: PMC9759288 DOI: 10.1016/j.chaos.2021.111724] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 12/09/2021] [Indexed: 06/17/2023]
Abstract
The newly identified cell death type, pyroptosis plays crucial roles in various diseases. Most recently, mounting evidence accumulates that pyroptotic signaling is highly correlated with coronavirus disease 2019 (COVID-19). Thus, understanding the induction of the pyroptotic signaling and dissecting the detail molecular control mechanisms are urgently needed. Based on recent experimental studies, a core regulatory model of the pyroptotic signaling is constructed to investigate the intricate crosstalk dynamics between the two cell death types, i.e., pyroptosis and secondary pyroptosis. The model well reproduces the experimental observations under different conditions. Sensitivity analysis determines that only the expression level of caspase-1 or GSDMD has the potential to individually change death modes. The decrease of caspase-1 or GSDMD level switches cell death from pyroptosis to secondary pyroptosis. Besides, eight biochemical reactions are identified that can efficiently switch death modes. While from the viewpoint of bifurcation analysis, the expression level of caspase-3 is further identified and twelve biochemical reactions are obtained. The coexistence of pyroptosis and secondary pyroptosis is predicted to be observed not only within the bistable range, but also within proper monostable range, presenting two potential different control mechanisms. Combined with the landscape theory, we further explore the stochastic dynamic and global stability of the pyroptotic system, accurately quantifying how each component mediates the individual occurrence probability of pyroptosis and secondary pyroptosis. Overall, this study sheds new light on the intricate crosstalk of the pyroptotic signaling and uncovers the regulatory mechanisms of various stable state transitions, providing potential clues to guide the development for prevention and treatment of pyroptosis-related diseases.
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Affiliation(s)
- Ligang Zhu
- Department of Physics, and Fujian Provincial Key Lab for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
| | - Xiang Li
- Department of Physics, and Fujian Provincial Key Lab for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Xiamen University, Xiamen 361102, China
| | - Fei Xu
- Department of Physics, and Fujian Provincial Key Lab for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
| | - Zhiyong Yin
- Department of Physics, and Fujian Provincial Key Lab for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
| | - Jun Jin
- Department of Physics, and Fujian Provincial Key Lab for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
| | - Zhilong Liu
- Department of Physics, and Fujian Provincial Key Lab for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
| | - Hong Qi
- Complex Systems Research Center, Shanxi University, Taiyuan 030006, China
| | - Jianwei Shuai
- Department of Physics, and Fujian Provincial Key Lab for Soft Functional Materials Research, Xiamen University, Xiamen 361005, China
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Xiamen University, Xiamen 361102, China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361102, China
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37
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O-GlcNAcylation of Sox2 at threonine 258 regulates the self-renewal and early cell fate of embryonic stem cells. Exp Mol Med 2021; 53:1759-1768. [PMID: 34819616 PMCID: PMC8639819 DOI: 10.1038/s12276-021-00707-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 09/13/2021] [Accepted: 09/26/2021] [Indexed: 12/27/2022] Open
Abstract
Sox2 is a core transcription factor in embryonic stem cells (ESCs), and O-GlcNAcylation is a type of post-translational modification of nuclear-cytoplasmic proteins. Although both factors play important roles in the maintenance and differentiation of ESCs and the serine 248 (S248) and threonine 258 (T258) residues of Sox2 are modified by O-GlcNAcylation, the function of Sox2 O-GlcNAcylation is unclear. Here, we show that O-GlcNAcylation of Sox2 at T258 regulates mouse ESC self-renewal and early cell fate. ESCs in which wild-type Sox2 was replaced with the Sox2 T258A mutant exhibited reduced self-renewal, whereas ESCs with the Sox2 S248A point mutation did not. ESCs with the Sox2 T258A mutation heterologously introduced using the CRISPR/Cas9 system, designated E14-Sox2TA/WT, also exhibited reduced self-renewal. RNA sequencing analysis under self-renewal conditions showed that upregulated expression of early differentiation genes, rather than a downregulated expression of self-renewal genes, was responsible for the reduced self-renewal of E14-Sox2TA/WT cells. There was a significant decrease in ectodermal tissue and a marked increase in cartilage tissue in E14-Sox2TA/WT-derived teratomas compared with normal E14 ESC-derived teratomas. RNA sequencing of teratomas revealed that genes related to brain development had generally downregulated expression in the E14-Sox2TA/WT-derived teratomas. Our findings using the Sox2 T258A mutant suggest that Sox2 T258 O-GlcNAc has a positive effect on ESC self-renewal and plays an important role in the proper development of ectodermal lineage cells. Overall, our study directly links O-GlcNAcylation and early cell fate decisions.
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38
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Li B, Hon GC. Single-Cell Genomics: Catalyst for Cell Fate Engineering. Front Bioeng Biotechnol 2021; 9:748942. [PMID: 34733831 PMCID: PMC8558416 DOI: 10.3389/fbioe.2021.748942] [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: 08/16/2021] [Accepted: 10/05/2021] [Indexed: 12/14/2022] Open
Abstract
As we near a complete catalog of mammalian cell types, the capability to engineer specific cell types on demand would transform biomedical research and regenerative medicine. However, the current pace of discovering new cell types far outstrips our ability to engineer them. One attractive strategy for cellular engineering is direct reprogramming, where induction of specific transcription factor (TF) cocktails orchestrates cell state transitions. Here, we review the foundational studies of TF-mediated reprogramming in the context of a general framework for cell fate engineering, which consists of: discovering new reprogramming cocktails, assessing engineered cells, and revealing molecular mechanisms. Traditional bulk reprogramming methods established a strong foundation for TF-mediated reprogramming, but were limited by their small scale and difficulty resolving cellular heterogeneity. Recently, single-cell technologies have overcome these challenges to rapidly accelerate progress in cell fate engineering. In the next decade, we anticipate that these tools will enable unprecedented control of cell state.
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Affiliation(s)
- Boxun Li
- Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Gary C. Hon
- Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
- Division of Basic Reproductive Biology Research, Department of Obstetrics and Gynecology, Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, United States
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39
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Huang X, Lin X, Liu F, Wu G, Yang Z, Meng A. The rise of developmental biology in China. Dev Growth Differ 2021; 64:106-115. [PMID: 34510425 DOI: 10.1111/dgd.12751] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 08/16/2021] [Accepted: 08/21/2021] [Indexed: 11/30/2022]
Abstract
Developmental biology research in China started from experimental embryology, in particular from studies on aquatic and reptile animals. The recent growth of the developmental biology community in China parallels the increased governmental funding support and the recruitment of overseas talents. This flourishing field in China embraces the activities of developmental biology-related societies, national meetings, key research initiatives and talented scientists. The first Development paper from China, published in 2000, marked the beginning of a new era. More recently, the second decade in the 21st century witnessed the blossoming of developmental biology research in China. Significant research spotlights, technical advances, and up-and-coming areas will be discussed in this overview.
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Affiliation(s)
- Xun Huang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Xinhua Lin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Feng Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Gen Wu
- High Technology Research and Development Center, Beijing, China
| | - Zhongzhou Yang
- State Key Laboratory of Pharmaceutical Biotechnology and MOE Key Laboratory of Model Animal for Disease Study, Model Animal Research Center, Medical School of Nanjing University, Nanjing, China
| | - Anming Meng
- State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing, China
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40
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Quantifying the optimal strategy of population control of quorum sensing network in Escherichia coli. NPJ Syst Biol Appl 2021; 7:35. [PMID: 34475401 PMCID: PMC8413372 DOI: 10.1038/s41540-021-00196-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 07/12/2021] [Indexed: 12/13/2022] Open
Abstract
Biological functions of bacteria can be regulated by monitoring their own population density induced by the quorum sensing system. However, quantitative insight into the system’s dynamics and regulatory mechanism remain challenging. Here, we construct a comprehensive mathematical model of the synthetic quorum sensing circuit that controls population density in Escherichia coli. Simulations agree well with experimental results obtained under different ribosome-binding site (RBS) efficiencies. We present a quantitative description of the component dynamics and show how the components respond to isopropyl-β-D-1-thiogalactopyranoside (IPTG) induction. The optimal IPTG-induction range for efficiently controlling population density is quantified. The controllable area of population density by acyl-homoserine lactone (AHL) permeability is quantified as well, indicating that high AHL permeability should be treated with a high dose of IPTG, while low AHL permeability should be induced with low dose for efficiently controlling. Unexpectedly, an oscillatory behavior of the growth curve is observed with proper RBS-binding strengths and the oscillation is greatly restricted by the bacterial death induced by toxic metabolic by-products. Moreover, we identify that the mechanism underlying the emergence of oscillation is determined by the negative feedback loop structure within the signaling. Bifurcation analysis and landscape theory are further employed to study the stochastic dynamic and global stability of the system, revealing two faces of toxic metabolic by-products in controlling oscillatory behavior. Overall, our study presents a quantitative basis for understanding and new insights into the control mechanism of quorum sensing system, providing possible clues to guide the development of more rational control strategy.
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41
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Fu M, Chen H, Cai Z, Yang Y, Feng Z, Zeng M, Chen L, Qin Y, Cai B, Zhu P, Zhou C, Yu S, Guo J, Liu J, Cao S, Pei D. Forkhead box family transcription factors as versatile regulators for cellular reprogramming to pluripotency. CELL REGENERATION (LONDON, ENGLAND) 2021; 10:17. [PMID: 34212295 PMCID: PMC8249537 DOI: 10.1186/s13619-021-00078-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 03/01/2021] [Indexed: 11/24/2022]
Abstract
Forkhead box (Fox) transcription factors play important roles in mammalian development and disease. However, their function in mouse somatic cell reprogramming remains unclear. Here, we report that FoxD subfamily and FoxG1 accelerate induced pluripotent stem cells (iPSCs) generation from mouse fibroblasts as early as day4 while FoxA and FoxO subfamily impede this process obviously. More importantly, FoxD3, FoxD4 and FoxG1 can replace Oct4 respectively and generate iPSCs with germline transmission together with Sox2 and Klf4. On the contrary, FoxO6 almost totally blocks reprogramming through inhibiting cell proliferation, suppressing the expression of pluripotent genes and hindering the process of mesenchymal to epithelial transition (MET). Thus, our study uncovers unexpected roles of Fox transcription factors in reprogramming and offers new insights into cell fate transition.
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Affiliation(s)
- Meijun Fu
- Joint School of Life Science, Guangzhou Institutes of Biomedicine and Health, Chinese Academic and Sciences, Guangzhou Medical School, Guangzhou, 511436, China.,CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China.,University of Chinese Academy of Science, Beijing, 100049, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China
| | - Huan Chen
- Joint School of Life Science, Guangzhou Institutes of Biomedicine and Health, Chinese Academic and Sciences, Guangzhou Medical School, Guangzhou, 511436, China.,CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China
| | - Zepo Cai
- Joint School of Life Science, Guangzhou Institutes of Biomedicine and Health, Chinese Academic and Sciences, Guangzhou Medical School, Guangzhou, 511436, China.,CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China
| | - Yihang Yang
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China.,University of Chinese Academy of Science, Beijing, 100049, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China
| | - Ziyu Feng
- Center for Cell Lineage and Atlas, Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Mengying Zeng
- Center for Cell Lineage and Atlas, Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Lijun Chen
- Joint School of Life Science, Guangzhou Institutes of Biomedicine and Health, Chinese Academic and Sciences, Guangzhou Medical School, Guangzhou, 511436, China.,CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China
| | - Yue Qin
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China.,University of Chinese Academy of Science, Beijing, 100049, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China
| | - Baomei Cai
- Center for Cell Lineage and Atlas, Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Pinghui Zhu
- Center for Cell Lineage and Atlas, Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Chunhua Zhou
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China
| | - Shengyong Yu
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China.,University of Chinese Academy of Science, Beijing, 100049, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China
| | - Jing Guo
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China.,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China
| | - Jing Liu
- CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China. .,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China. .,Center for Cell Lineage and Atlas, Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
| | - Shangtao Cao
- Center for Cell Lineage and Atlas, Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
| | - Duanqing Pei
- Joint School of Life Science, Guangzhou Institutes of Biomedicine and Health, Chinese Academic and Sciences, Guangzhou Medical School, Guangzhou, 511436, China. .,CAS Key Laboratory of Regenerative Biology, South China Institutes for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China. .,University of Chinese Academy of Science, Beijing, 100049, China. .,Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Science, Chinese Academic and Sciences, Guangzhou, 510530, China. .,Center for Cell Lineage and Atlas, Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
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42
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Biological importance of OCT transcription factors in reprogramming and development. Exp Mol Med 2021; 53:1018-1028. [PMID: 34117345 PMCID: PMC8257633 DOI: 10.1038/s12276-021-00637-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 03/22/2021] [Accepted: 03/24/2021] [Indexed: 02/07/2023] Open
Abstract
Ectopic expression of Oct4, Sox2, Klf4 and c-Myc can reprogram somatic cells into induced pluripotent stem cells (iPSCs). Attempts to identify genes or chemicals that can functionally replace each of these four reprogramming factors have revealed that exogenous Oct4 is not necessary for reprogramming under certain conditions or in the presence of alternative factors that can regulate endogenous Oct4 expression. For example, polycistronic expression of Sox2, Klf4 and c-Myc can elicit reprogramming by activating endogenous Oct4 expression indirectly. Experiments in which the reprogramming competence of all other Oct family members tested and also in different species have led to the decisive conclusion that Oct proteins display different reprogramming competences and species-dependent reprogramming activity despite their profound sequence conservation. We discuss the roles of the structural components of Oct proteins in reprogramming and how donor cell epigenomes endow Oct proteins with different reprogramming competences. Cells can be reprogrammed into induced pluripotent stem cells (iPSCs), embryonic-like stem cells that can turn into any cell type and have extensive potential medical uses, without adding the transcription factor OCT4. Although other nearly identical OCT family members had been tried, only OCT4 could induce reprogramming and was previously thought to be indispensable. However, it now appears that the reprogramming can be induced by multiple pathways, as detailed in a review by Hans Schöler, Max Planck Institute for Biomolecular Medicine, Münster, and Johnny Kim, Max Planck Institute for Heart and Lung Research, Bad Nauheim, in Germany. They report that any factors that trigger cells to activate endogeous OCT4 can produce iPSCs without exogeously admistration of OCT4. The mechanisms for producing iPSCs can differ between species. These results illuminate the complex mechanisms of reprogramming.
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43
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Wang X, Zhao J, Zhu Z. Exogenous Expression of pou5f3 Facilitates the Development of Somatic Cell Nuclear Transfer Embryos in Zebrafish at the Early Stage. Cell Reprogram 2021; 23:191-197. [PMID: 34101505 DOI: 10.1089/cell.2021.0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Enucleated oocytes can reprogram differentiated nuclei to totipotency after somatic cell nuclear transfer (SCNT), which is valuable in understanding nuclear reprogramming and generating genetically modified animals. To date, reprogramming efficiency is low and the development of SCNT embryos is not going as well as anticipated. To further disclose the reprogramming mechanisms during SCNT zebrafish embryo development, we examined the expression patterns of transcription regulation factors and regulated them by mRNA and morpholino microinjection. In this study, we show that stem cell-related transcription factors are downregulated in zebrafish SCNT embryos at the blastula stage. Exogenous expression of pou5f3 at the single-cell stage improves SCNT embryo development from the blastula to the gastrula stage. We also found that exogenous expression of klf4 or sox2 decreases SCNT embryo development from the blastula to the gastrula stage, while expression of nanog is necessary for the development of SCNT embryos. Our results conclude that zebrafish pou5f3 facilitates the development of SCNT embryos from the blastula to gastrula stage.
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Affiliation(s)
- Xuegeng Wang
- College of Life Sciences, Peking University, Beijing, P.R. China.,Institute of Modern Aquaculture Science and Engineering, College of Life Sciences, South China Normal University, Guangzhou, P.R. China
| | - Jue Zhao
- College of Life Sciences, Peking University, Beijing, P.R. China
| | - Zuoyan Zhu
- College of Life Sciences, Peking University, Beijing, P.R. China
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44
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Yan P, Liu Z, Song M, Wu Z, Xu W, Li K, Ji Q, Wang S, Liu X, Yan K, Esteban CR, Ci W, Belmonte JCI, Xie W, Ren J, Zhang W, Sun Q, Qu J, Liu GH. Genome-wide R-loop Landscapes during Cell Differentiation and Reprogramming. Cell Rep 2021; 32:107870. [PMID: 32640235 DOI: 10.1016/j.celrep.2020.107870] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 06/01/2020] [Accepted: 06/15/2020] [Indexed: 12/14/2022] Open
Abstract
DNA:RNA hybrids play key roles in both physiological and disease states by regulating chromatin and genome organization. Their homeostasis during cell differentiation and cell plasticity remains elusive. Using an isogenic human stem cell platform, we systematically characterize R-loops, DNA methylation, histone modifications, and chromatin accessibility in pluripotent cells and their lineage-differentiated derivatives. We confirm that a portion of R-loops formed co-transcriptionally at pluripotency genes in pluripotent stem cells and at lineage-controlling genes in differentiated lineages. Notably, a subset of R-loops maintained after differentiation are associated with repressive chromatin marks on silent pluripotency genes and undesired lineage genes. Moreover, in reprogrammed pluripotent cells, cell-of-origin-specific R-loops are initially present but are resolved with serial passaging. Our analysis suggests a multifaceted role of R-loops in cell fate determination that may serve as an additional layer of modulation on cell fate memory and cell plasticity.
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Affiliation(s)
- Pengze Yan
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zunpeng Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Moshi Song
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Zeming Wu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Xu
- Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Kuan Li
- Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Qianzhao Ji
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Si Wang
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kaowen Yan
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | | | - Weimin Ci
- China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, School of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | | | - Wei Xie
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jie Ren
- China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, School of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China
| | - Weiqi Zhang
- China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, School of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China.
| | - Qianwen Sun
- Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing 100084, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China.
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Brain Disorders, Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing 100053, China; University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China.
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45
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Raas MWD, Zijlmans DW, Marks H. Overcoming epigenetic roadblocks. Nat Chem Biol 2021; 17:6-7. [PMID: 32807970 DOI: 10.1038/s41589-020-0629-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Maximilian W D Raas
- Department of Molecular Biology, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University, Nijmegen, the Netherlands
| | - Dick W Zijlmans
- Department of Molecular Biology, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University, Nijmegen, the Netherlands
| | - Hendrik Marks
- Department of Molecular Biology, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud University, Nijmegen, the Netherlands.
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46
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Xu X, Du Y, Ma L, Zhang S, Shi L, Chen Z, Zhou Z, Hui Y, Liu Y, Fang Y, Fan B, Liu Z, Li N, Zhou S, Jiang C, Liu L, Zhang X. Mapping germ-layer specification preventing genes in hPSCs via genome-scale CRISPR screening. iScience 2021; 24:101926. [PMID: 33385119 PMCID: PMC7772566 DOI: 10.1016/j.isci.2020.101926] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 08/17/2020] [Accepted: 12/07/2020] [Indexed: 12/21/2022] Open
Abstract
Understanding the biological processes that determine the entry of three germ layers of human pluripotent stem cells (hPSCs) is a central question in developmental and stem cell biology. Here, we genetically engineered hPSCs with the germ layer reporter and inducible CRISPR/Cas9 knockout system, and a genome-scale screening was performed to define pathways restricting germ layer specification. Genes clustered in the key biological processes, including embryonic development, mRNA processing, metabolism, and epigenetic regulation, were centered in the governance of pluripotency and lineage development. Other than typical pluripotent transcription factors and signaling molecules, loss of function of mesendodermal specifiers resulted in advanced neuroectodermal differentiation, given their inter-germ layer antagonizing effect. Regarding the epigenetic superfamily, microRNAs enriched in hPSCs showed clear germ layer-targeting specificity. The cholesterol synthesis pathway maintained hPSCs via retardation of neuroectoderm specification. Thus, in this study, we identified a full landscape of genetic wiring and biological processes that control hPSC self-renewal and trilineage specification.
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Affiliation(s)
- Xiangjie Xu
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Yanhua Du
- Department of Immunology and Microbiology, Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Lin Ma
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
- Department of Pathology and Pathophysiology, Tongji University School of Medicine, Shanghai 200092, China
| | - Shuwei Zhang
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Lei Shi
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Zhenyu Chen
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Zhongshu Zhou
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Yi Hui
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Yang Liu
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Yujiang Fang
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
- Department of Pathology and Pathophysiology, Tongji University School of Medicine, Shanghai 200092, China
| | - Beibei Fan
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Zhongliang Liu
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Nan Li
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Shanshan Zhou
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
| | - Cizhong Jiang
- The School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Ling Liu
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
- Brain and Spinal Cord Clinical Research Center, Tongji University School of Medicine, Shanghai 200092, China
- Department of Pathology and Pathophysiology, Tongji University School of Medicine, Shanghai 200092, China
| | - Xiaoqing Zhang
- Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Reconstruction and Regeneration of Spine and Spinal Cord Injury, Ministry of Education, Shanghai 200065, China
- Key Laboratory of Neuroregeneration of Shanghai Universities, Tongji University School of Medicine, Shanghai 200092, China
- Tsingtao Advanced Research Institute, Tongji University, Qingdao 266071, China
- Shanghai Institute of Stem Cell Research and Clinical Translation, Shanghai 200120, China
- Brain and Spinal Cord Clinical Research Center, Tongji University School of Medicine, Shanghai 200092, China
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47
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Abstract
The epithelial-mesenchymal transition (EMT) and the corresponding reverse process, mesenchymal-epithelial transition (MET), are dynamic and reversible cellular programs orchestrated by many changes at both biochemical and morphological levels. A recent surge in identifying the molecular mechanisms underlying EMT/MET has led to the development of various mathematical models that have contributed to our improved understanding of dynamics at single-cell and population levels: (a) multi-stability-how many phenotypes can cells attain during an EMT/MET?, (b) reversibility/irreversibility-what time and/or concentration of an EMT inducer marks the "tipping point" when cells induced to undergo EMT cannot revert?, (c) symmetry in EMT/MET-do cells take the same path when reverting as they took during the induction of EMT?, and (d) non-cell autonomous mechanisms-how does a cell undergoing EMT alter the tendency of its neighbors to undergo EMT? These dynamical traits may facilitate a heterogenous response within a cell population undergoing EMT/MET. Here, we present a few examples of designing different mathematical models that can contribute to decoding EMT/MET dynamics.
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Affiliation(s)
- Shubham Tripathi
- PhD Program in Systems, Synthetic, and Physical Biology, Rice University, Houston, TX, USA
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA
| | - Jianhua Xing
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Herbert Levine
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA.
- Department of Physics and Department of Bioengineering, Northeastern University, Boston, MA, USA.
| | - Mohit Kumar Jolly
- Centre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, Karnataka, India.
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48
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Kim KP, Choi J, Yoon J, Bruder JM, Shin B, Kim J, Arauzo-Bravo MJ, Han D, Wu G, Han DW, Kim J, Cramer P, Schöler HR. Permissive epigenomes endow reprogramming competence to transcriptional regulators. Nat Chem Biol 2021; 17:47-56. [PMID: 32807969 DOI: 10.1038/s41589-020-0618-6] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 07/08/2020] [Indexed: 01/09/2023]
Abstract
Identifying molecular and cellular processes that regulate reprogramming competence of transcription factors broadens our understanding of reprogramming mechanisms. In the present study, by a chemical screen targeting major epigenetic pathways in human reprogramming, we discovered that inhibiting specific epigenetic roadblocks including disruptor of telomeric silencing 1-like (DOT1L)-mediated H3K79/K27 methylation, but also other epigenetic pathways, catalyzed by lysine-specific histone demethylase 1A, DNA methyltransferases and histone deacetylases, allows induced pluripotent stem cell generation with almost all OCT factors. We found that simultaneous inhibition of these pathways not only dramatically enhances reprogramming competence of most OCT factors, but in fact enables dismantling of species-dependent reprogramming competence of OCT6, NR5A1, NR5A2, TET1 and GATA3. Harnessing these induced permissive epigenetic states, we performed an additional screen with 98 candidate genes. Thereby, we identified 25 transcriptional regulators (OTX2, SIX3, and so on) that can functionally replace OCT4 in inducing pluripotency. Our findings provide a conceptual framework for understanding how transcription factors elicit reprogramming in dependency of the donor cell epigenome that differs across species.
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Affiliation(s)
- Kee-Pyo Kim
- Department of Cell and Developmental Biology, Max Planck Institute for Molecular Biomedicine, Münster, Germany
| | - Jinmi Choi
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Juyong Yoon
- Department of Cell and Developmental Biology, Max Planck Institute for Molecular Biomedicine, Münster, Germany
- Department of Early Discovery, Ksilink, Strasbourg, France
| | - Jan M Bruder
- Department of Cell and Developmental Biology, Max Planck Institute for Molecular Biomedicine, Münster, Germany
| | - Borami Shin
- Department of Cell and Developmental Biology, Max Planck Institute for Molecular Biomedicine, Münster, Germany
| | - Jonghun Kim
- Department of Stem Cell Biology, School of Medicine, Konkuk University, Seoul, Republic of Korea
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
| | - Marcos J Arauzo-Bravo
- Group of Computational Biology and Systems Biomedicine, Biodonostia Health Research Institute, San Sebastian, Spain
- IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - Dong Han
- Department of Cell and Developmental Biology, Max Planck Institute for Molecular Biomedicine, Münster, Germany
| | - Guangming Wu
- Department of Cell and Developmental Biology, Max Planck Institute for Molecular Biomedicine, Münster, Germany
- Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Dong Wook Han
- School of Biotechnology and Healthcare, Wuyi University, Jiangmen, China
| | - Johnny Kim
- Department of Cardiac Development and Remodeling, Max-Planck-Institute for Heart and Lung Research, Bad Nauheim, Germany
| | - Patrick Cramer
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Hans R Schöler
- Department of Cell and Developmental Biology, Max Planck Institute for Molecular Biomedicine, Münster, Germany.
- Medical Faculty, University of Münster, Münster, Germany.
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49
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Yan P, Ren J, Zhang W, Qu J, Liu GH. Protein quality control of cell stemness. CELL REGENERATION (LONDON, ENGLAND) 2020; 9:22. [PMID: 33179756 PMCID: PMC7658286 DOI: 10.1186/s13619-020-00064-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 09/14/2020] [Indexed: 02/07/2023]
Abstract
Protein quality control (PQC) systems play essential roles in the recognition, refolding and clearance of aberrant proteins, thus ensuring cellular protein homeostasis, or proteostasis. Especially, continued proliferation and differentiation of stem cells require a high rate of translation; therefore, accurate PQC systems are essential to maintain stem cell function. Growing evidence suggested crucial roles of PQC systems in regulating the stemness and differentiation of stem cells. This review focuses on current knowledge regarding the components of the proteostasis network in stem cells, and the importance of proteostasis in maintaining stem cell identity and regenerative functions. A complete understanding of this process might uncover potential applications in aging intervention and aging-related diseases.
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Affiliation(s)
- Pengze Yan
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jie Ren
- University of Chinese Academy of Sciences, Beijing, 100049, China
- China National Center for Bioinformation, Beijing, 100101, China
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
| | - Weiqi Zhang
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- China National Center for Bioinformation, Beijing, 100101, China.
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jing Qu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guang-Hui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Brain Disorders, Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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50
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Ibrahim IH, Abdel-Aziz HG, Hassan FE, El-Sameea HS. Role of GATA3 exon 6 germline mutations in breast cancer progression in Egyptian female patients. Exp Biol Med (Maywood) 2020; 246:40-47. [PMID: 32938228 DOI: 10.1177/1535370220958610] [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: 12/24/2022] Open
Abstract
IMPACT STATEMENT GATA3 mutations are known to play an important role in breast cancer progression. The exact role and mechanisms of these mutations remain controversial as some studies suggest a relation to breast tumor growth, while others suggest a relation to longer survival. GATA3 germline mutations are not well studied in breast cancer. In this study, it was hypothesized that different types of GATA3 mutations could contribute to the breast cancer progression in different ways. GATA3 exon 6, which is important for GATA3 protein functions, was reported to have hotspots, and hence it was selected for study. Intronic GATA3 germline mutations were found to be related to favorable prognosis, while protein coding mutations were found to be related to unfavorable prognosis. Bioinformatics study of large publically available datasets showed that GATA3 mutations lead to dysregulation of pathways related to T-cells activation, inflammation, and breast cancer development.
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Affiliation(s)
- Iman H Ibrahim
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy (Girls) Al-Azhar University, Cairo 11765, Egypt
| | - Heba G Abdel-Aziz
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy (Girls) Al-Azhar University, Cairo 11765, Egypt
| | - Fatema Em Hassan
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy (Girls) Al-Azhar University, Cairo 11765, Egypt
| | - Hesham Sa El-Sameea
- Department of Clinical Pathology, Faculty of Medicine (New Damietta) Al-Azhar University, Damietta 34711, Egypt
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