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Matsuguchi S, Hirai Y. Syntaxin4, P-cadherin, and CCAAT enhancer binding protein β as signaling elements in the novel differentiation pathway for cultured embryonic stem cells. Biochem Biophys Res Commun 2023; 672:27-35. [PMID: 37331168 DOI: 10.1016/j.bbrc.2023.06.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 05/15/2023] [Accepted: 06/13/2023] [Indexed: 06/20/2023]
Abstract
Pluripotent stem cells possess the potential to differentiate into all three germ layers. However, upon removal of the stemness factors, pluripotent stem cells, such as embryonic stem cells (ESCs), exhibit EMT-like cell behavior and lose stemness signatures. This process involves the membrane translocation of the t-SNARE protein syntaxin4 (Stx4) and the expression of the intercellular adhesion molecule P-cadherin. The forced expression of either of these elements induces the emergence of such phenotypes even in the presence of stemness factors. Interestingly, extracellular Stx4, but not P-cadherin, appears to induce a significant upregulation of the gastrulation-related gene brachyury, along with a slight upregulation of the smooth muscle cell-related gene ACTA2 in ESCs. Furthermore, our findings reveal that extracellular Stx4 plays a role in preventing the elimination of CCAAT enhancer binding protein β (C/EBPβ). Notably, the forced overexpression of C/EBPβ led to the downregulation of brachyury and a significant upregulation of ACTA2 in ESCs. These observations suggest that extracellular Stx4 contributes to early mesoderm induction while simultaneously activating an element that alters the differentiation state. The fact that a single differentiation cue can elicit multiple differentiation responses may reflect the challenges associated with achieving sensitive and directed differentiation in cultured stem cells.
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Affiliation(s)
- Shuji Matsuguchi
- Department of Biomedical Sciences, School of Biological and Environmental Sciences, Kwansei Gakuin University, 1 Gakuen-Uegahara, Sanda, 669-1330, Japan.
| | - Yohei Hirai
- Department of Biomedical Sciences, School of Biological and Environmental Sciences, Kwansei Gakuin University, 1 Gakuen-Uegahara, Sanda, 669-1330, Japan.
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2
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Jiang Z, Generoso SF, Badia M, Payer B, Carey LB. A conserved expression signature predicts growth rate and reveals cell & lineage-specific differences. PLoS Comput Biol 2021; 17:e1009582. [PMID: 34762642 PMCID: PMC8610284 DOI: 10.1371/journal.pcbi.1009582] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 11/23/2021] [Accepted: 10/21/2021] [Indexed: 12/23/2022] Open
Abstract
Isogenic cells cultured together show heterogeneity in their proliferation rate. To determine the differences between fast and slow-proliferating cells, we developed a method to sort cells by proliferation rate, and performed RNA-seq on slow and fast proliferating subpopulations of pluripotent mouse embryonic stem cells (mESCs) and mouse fibroblasts. We found that slowly proliferating mESCs have a more naïve pluripotent character. We identified an evolutionarily conserved proliferation-correlated transcriptomic signature that is common to all eukaryotes: fast cells have higher expression of genes for protein synthesis and protein degradation. This signature accurately predicted growth rate in yeast and cancer cells, and identified lineage-specific proliferation dynamics during development, using C. elegans scRNA-seq data. In contrast, sorting by mitochondria membrane potential revealed a highly cell-type specific mitochondria-state related transcriptome. mESCs with hyperpolarized mitochondria are fast proliferating, while the opposite is true for fibroblasts. The mitochondrial electron transport chain inhibitor antimycin affected slow and fast subpopulations differently. While a major transcriptional-signature associated with cell-to-cell heterogeneity in proliferation is conserved, the metabolic and energetic dependency of cell proliferation is cell-type specific. By performing RNA sequencing on cells sorted by their proliferation rate, this study identifies a gene expression signature capable of predicting proliferation rates in diverse eukaryotic cell types and species. This signature, applied to single-cell RNA sequencing data from embryos of the roundworm C. elegans, reveals lineage-specific proliferation differences during development. In contrast to the universality of the proliferation signature, mitochondria and metabolism related genes show a high degree of cell-type specificity; mouse pluripotent stem cells (mESCs) and differentiated cells (fibroblasts) exhibit opposite relations between mitochondria state and proliferation. Furthermore, we identified a slow proliferating subpopulation of mESCs with higher expression of pluripotency genes. Finally, we show that fast and slow proliferating subpopulations are differentially sensitive to mitochondria inhibitory drugs in different cell types. Highlights:
A FACS-based method to determine the transcriptomes of fast and slow proliferating subpopulations. A universal proliferation-correlated transcriptional signature indicates high protein synthesis and degradation in fast proliferating cells across cell types and species. Applied to scRNA-seq, the expression signature predicts the global proliferation slowdown during C. elegans development. Mitochondria membrane potential predicts proliferation rate in a cell-type specific manner, with ETC complex III inhibitor having distinct effects on fibroblasts vs mESCs.
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Affiliation(s)
- Zhisheng Jiang
- Center for Quantitative Biology and Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Serena F. Generoso
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marta Badia
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Bernhard Payer
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- * E-mail: (BP); (LBC)
| | - Lucas B. Carey
- Center for Quantitative Biology and Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- * E-mail: (BP); (LBC)
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3
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Setthawong P, Phakdeedindan P, Techakumphu M, Tharasanit T. Molecular signature and colony morphology affect in vitro pluripotency of porcine induced pluripotent stem cells. Reprod Domest Anim 2021; 56:1104-1116. [PMID: 34013645 DOI: 10.1111/rda.13954] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 05/17/2021] [Indexed: 12/29/2022]
Abstract
Overall efficiency of cell reprogramming for porcine fibroblasts into induced pluripotent stem cells (iPSCs) is currently poor, and few cell lines have been established. This study examined gene expression during early phase of cellular reprogramming in the relationship to the iPSC colony morphology and in vitro pluripotent characteristics. Fibroblasts were reprogrammed with OCT4, SOX2, KLF4 and c-MYC. Two different colony morphologies referred to either compact (n = 10) or loose (n = 10) colonies were further examined for proliferative activity, gene expression and in vitro pluripotency. A total of 1,697 iPSC-like colonies (2.34%) were observed after gene transduction. The compact colonies contained with tightly packed cells with a distinct-clear border between the colony and feeder cells, while loose colonies demonstrated irregular colony boundary. For quantitative expression of genes responsible for early phase cell reprogramming, the Dppa2 and EpCAM were significantly upregulated while NR0B1 was downregulated in compact colonies compared with loose phenotype (p < .05). Higher proportion of compact iPSC phenotype (5 of 10, 50%) could be maintained in undifferentiated state for more than 50 passages compared unfavourably with loose morphology (3 of 10, 30%). All iPS cell lines obtained from these two types of colony morphologies expressed pluripotent genes and proteins (OCT4, NANOG and E-cadherin). In addition, they could aggregate and form three-dimensional structure of embryoid bodies. However, only compact iPSC colonies differentiated into three germ layers. Molecular signature of early phase of cell reprogramming coupled with primary colony morphology reflected the in vitro pluripotency of porcine iPSCs. These findings can be simply applied for pre-screening selection of the porcine iPSC cell line.
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Affiliation(s)
- Piyathip Setthawong
- Department of Obstetrics, Gynaecology and Reproduction, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
| | - Praopilas Phakdeedindan
- Department of Animal Husbandry, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
| | - Mongkol Techakumphu
- Department of Obstetrics, Gynaecology and Reproduction, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
| | - Theerawat Tharasanit
- Department of Obstetrics, Gynaecology and Reproduction, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.,CU-Animal Fertility Research Unit, Chulalongkorn University, Bangkok, Thailand
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4
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Gao N, Hu J, He B, Ji Z, Hu X, Huang J, Wei Y, Peng J, Wei Y, Zhou Y, Shen X, Li H, Feng X, Xiao Q, Shi L, Sun Y, Zhou C, Zhou H, Yang H. Endogenous promoter-driven sgRNA for monitoring the expression of low-abundance transcripts and lncRNAs. Nat Cell Biol 2021; 23:99-108. [PMID: 33398178 DOI: 10.1038/s41556-020-00610-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 11/24/2020] [Indexed: 01/15/2023]
Abstract
Detection of endogenous signals and precise control of genetic circuits in the natural context are essential to understand biological processes. However, the tools to process endogenous information are limited. Here we developed a generalizable endogenous transcription-gated switch that releases single-guide RNAs in the presence of an endogenous promoter. When the endogenous transcription-gated switch is coupled with the highly sensitive CRISPR-activator-associated reporter we developed, we can reliably detect the activity of endogenous genes, including genes with very low expression (<0.001 relative to Gapdh; quantitative-PCR analysis). Notably, we could also monitor the transcriptional activity of typically long non-coding RNAs expressed at low levels in living cells using this approach. Together, our method provides a powerful platform to sense the activity of endogenous genetic elements underlying cellular functions.
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Affiliation(s)
- Ni Gao
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jing Hu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Bingbing He
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Zhengbang Ji
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xinde Hu
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jia Huang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yu Wei
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Jianpeng Peng
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Yinghui Wei
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yingsi Zhou
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xiaowen Shen
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - He Li
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xue Feng
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Qingquan Xiao
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Linyu Shi
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yidi Sun
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Changyang Zhou
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Haibo Zhou
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
| | - Hui Yang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
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5
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Hao J, Yang X, Zhang C, Zhang XT, Shi M, Wang SH, Mi L, Zhao YT, Cao H, Wang Y. KLF3 promotes the 8-cell-like transcriptional state in pluripotent stem cells. Cell Prolif 2020; 53:e12914. [PMID: 32990380 PMCID: PMC7653263 DOI: 10.1111/cpr.12914] [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: 08/06/2020] [Revised: 09/05/2020] [Accepted: 09/06/2020] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES Mouse embryonic stem cell (mESC) culture contains various heterogeneous populations, which serve as excellent models to study gene regulation in early embryo development. The heterogeneity is typically defined by transcriptional activities, for example, the expression of Nanog or Rex1 mRNA. Our objectives were to identify mESC heterogeneity that are caused by mechanisms other than transcriptional control. MATERIALS AND METHODS Klf3 mRNA and protein were analysed by RT-qPCR, Western blotting or immunofluorescence in mESCs, C2C12 cells, early mouse embryos and various mouse tissues. An ESC reporter line expressing KLF3-GFP fusion protein was made to study heterogeneity of KLF3 protein expression in ESCs. GFP-positive mESCs were sorted for further analysis including RT-qPCR and RNA-seq. RESULTS In the majority of mESCs, KLF3 protein is actively degraded due to its proline-rich sequence and highly disordered structure. Interestingly, KLF3 protein is stabilized in a small subset of mESCs. Transcriptome analysis indicates that KLF3-positive mESCs upregulate genes that are initially activated in 8-cell embryos. Consistently, KLF3 protein but not mRNA is dramatically increased in 8-cell embryos. Forced expression of KLF3 protein in mESCs promotes the expression of 8-cell-embryo activated genes. CONCLUSIONS Our study identifies previously unrecognized heterogeneity due to KLF3 protein expression in mESCs.
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Affiliation(s)
- Jing Hao
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Xi Yang
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Chao Zhang
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Xue-Tao Zhang
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Ming Shi
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Shao-Hua Wang
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Li Mi
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Yu-Ting Zhao
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Huiqing Cao
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
| | - Yangming Wang
- Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing, China
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6
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Pálóczi J, Szántai Á, Kobolák J, Bock I, Ruivo E, Kiss B, Gáspár R, Pipis J, Ocsovszki I, Táncos Z, Fehér A, Dinnyés A, Onódi Z, Madonna R, Ferdinandy P, Görbe A. Systematic analysis of different pluripotent stem cell-derived cardiac myocytes as potential testing model for cardiocytoprotection. Vascul Pharmacol 2020; 133-134:106781. [PMID: 32827678 DOI: 10.1016/j.vph.2020.106781] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 08/13/2020] [Indexed: 01/26/2023]
Abstract
INTRODUCTION Stem cell-derived cardiac myocytes are potential sources for testing cardiocytoprotective molecules against ischemia/reperfusion injury in vitro. MATERIALS AND METHODS Here we performed a systematic analysis of two different induced pluripotent stem cell lines (iPSC 3.4 and 4.1) and an embryonic stem cell (ESC) line-derived cardiac myocytes at two different developmental stages. Cell viability in simulated ischemia/reperfusion (SI/R)-induced injury and a known cardiocytoprotective NO-donor, S-nitroso-n-acetylpenicillamine (SNAP) was tested. RESULTS After analysis of full embryoid bodies (EBs) and cardiac marker (VCAM and cardiac troponin I) positive cells of three lines at 6 conditions (32 different conditions altogether), we found significant SI/R injury-induced cell death in both full EBs and VCAM+ cardiac cells at later stage of their differentiation. Moreover, full EBs of the iPS 4.1 cell line after oxidative stress induction by SNAP was protected at day-8 samples. CONCLUSION We have shown that 4.1 iPS-derived cardiomyocyte line could serve as a testing platform for cardiocytoprotection.
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Affiliation(s)
- J Pálóczi
- Cardiovascular Research Group, Department of Biochemistry, University of Szeged, 6720 Hungary
| | - Á Szántai
- Cardiovascular Research Group, Department of Biochemistry, University of Szeged, 6720 Hungary
| | - J Kobolák
- Biotalentum Ltd., Gödöllő, 2100 Hungary
| | - I Bock
- Biotalentum Ltd., Gödöllő, 2100 Hungary
| | - E Ruivo
- Cardiovascular Research Group, Department of Biochemistry, University of Szeged, 6720 Hungary
| | - B Kiss
- Cardiovascular Research Group, Department of Biochemistry, University of Szeged, 6720 Hungary; MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, 1085 Hungary
| | - R Gáspár
- Cardiovascular Research Group, Department of Biochemistry, University of Szeged, 6720 Hungary
| | - J Pipis
- Pharmahungary Group, Szeged, 6722 Hungary
| | - I Ocsovszki
- Cardiovascular Research Group, Department of Biochemistry, University of Szeged, 6720 Hungary
| | - Z Táncos
- Biotalentum Ltd., Gödöllő, 2100 Hungary
| | - A Fehér
- Biotalentum Ltd., Gödöllő, 2100 Hungary
| | - A Dinnyés
- Biotalentum Ltd., Gödöllő, 2100 Hungary; Molecular Animal Biotechnology Laboratory, Szent István University, Gödöllő, 2100 Hungary
| | - Z Onódi
- MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, 1085 Hungary
| | - R Madonna
- Institute of Cardiology, Department of Surgical, Medical and Molecular Pathology and Critical Area Medicine, University of Pisa, 56124 Pisa; Internal Medicine, Cardiology Division, University of Texas Medical School in Houston, Houston, Texas
| | - P Ferdinandy
- Cardiovascular Research Group, Department of Biochemistry, University of Szeged, 6720 Hungary; Pharmahungary Group, Szeged, 6722 Hungary; MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, 1085 Hungary; Cardiovascular Research Group, Department of Pharmacology and Pharmacotherapy, University of Szeged, 6720, Hungary
| | - A Görbe
- Cardiovascular Research Group, Department of Biochemistry, University of Szeged, 6720 Hungary; Pharmahungary Group, Szeged, 6722 Hungary; MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, 1085 Hungary; Cardiovascular Research Group, Department of Pharmacology and Pharmacotherapy, University of Szeged, 6720, Hungary.
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7
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Mnatsakanyan H, Sabater I Serra R, Salmeron-Sanchez M, Rico P. Zinc Maintains Embryonic Stem Cell Pluripotency and Multilineage Differentiation Potential via AKT Activation. Front Cell Dev Biol 2019; 7:180. [PMID: 31544103 PMCID: PMC6728745 DOI: 10.3389/fcell.2019.00180] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 08/19/2019] [Indexed: 12/18/2022] Open
Abstract
Embryonic stem cells (ESCs) possess remarkable abilities, as they can differentiate into all cell types (pluripotency) and be self-renewing, giving rise to two identical cells. These characteristics make ESCs a powerful research tool in fundamental embryogenesis as well as candidates for use in regenerative medicine. Significant efforts have been devoted to developing protocols to control ESC fate, including soluble and complex cocktails of growth factors and small molecules seeking to activate/inhibit key signaling pathways for the maintenance of pluripotency states or activate differentiation. Here we describe a novel method for the effective maintenance of mouse ESCs, avoiding the supplementation of complex inhibitory cocktails or cytokines, e.g., LIF. We show that the addition of zinc to ESC cultures leads to a stable pluripotent state that shares biochemical, transcriptional and karyotypic features with the classical LIF treatment. We demonstrate for the first time that ESCs maintained in long-term cultures with added zinc, are capable of sustaining a stable ESCs pluripotent phenotype, as well as differentiating efficiently upon external stimulation. We show that zinc promotes long-term ESC self-renewal (>30 days) via activation of ZIP7 and AKT signaling pathways. Furthermore, the combination of zinc with LIF results in a synergistic effect that enhances LIF effects, increases AKT and STAT3 activity, promotes the expression of pluripotency regulators and avoids the expression of differentiation markers.
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Affiliation(s)
- Hayk Mnatsakanyan
- Centre for Biomaterials and Tissue Engineering (CBIT), Universitat Politècnica de València, Valencia, Spain
| | - Roser Sabater I Serra
- Centre for Biomaterials and Tissue Engineering (CBIT), Universitat Politècnica de València, Valencia, Spain.,Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
| | - Manuel Salmeron-Sanchez
- Centre for Biomaterials and Tissue Engineering (CBIT), Universitat Politècnica de València, Valencia, Spain.,Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain.,Division of Biomedical Engineering, Centre for the Cellular Microenvironment, School of Engineering, University of Glasgow, Glasgow, United Kingdom
| | - Patricia Rico
- Centre for Biomaterials and Tissue Engineering (CBIT), Universitat Politècnica de València, Valencia, Spain.,Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, Spain
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8
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Edri S, Hayward P, Baillie-Johnson P, Steventon BJ, Martinez Arias A. An epiblast stem cell-derived multipotent progenitor population for axial extension. Development 2019; 146:dev.168187. [PMID: 31023877 DOI: 10.1242/dev.168187] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Accepted: 04/10/2019] [Indexed: 12/21/2022]
Abstract
The caudal lateral epiblast of mammalian embryos harbours bipotent progenitors that contribute to the spinal cord and the paraxial mesoderm in concert with the body axis elongation. These progenitors, called neural mesodermal progenitors (NMPs), are identified as cells that co-express Sox2 and T/brachyury, a criterion used to derive NMP-like cells from embryonic stem cells in vitro However, unlike embryonic NMPs, these progenitors do not self-renew. Here, we find that the protocols that yield NMP-like cells in vitro initially produce a multipotent population that, in addition to NMPs, generates progenitors for the lateral plate and intermediate mesoderm. We show that epiblast stem cells (EpiSCs) are an effective source of these multipotent progenitors, which are further differentiated by a balance between BMP and Nodal signalling. Importantly, we show that NMP-like cells derived from EpiSCs exhibit limited self-renewal in vitro and a gene expression signature like their embryonic counterparts.
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Affiliation(s)
- Shlomit Edri
- Department of Genetics, Downing Site, University of Cambridge, Cambridge CB2 3EH, UK
| | - Penny Hayward
- Department of Genetics, Downing Site, University of Cambridge, Cambridge CB2 3EH, UK
| | - Peter Baillie-Johnson
- Department of Genetics, Downing Site, University of Cambridge, Cambridge CB2 3EH, UK
| | - Benjamin J Steventon
- Department of Genetics, Downing Site, University of Cambridge, Cambridge CB2 3EH, UK
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9
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Feigelman J, Ganscha S, Hastreiter S, Schwarzfischer M, Filipczyk A, Schroeder T, Theis FJ, Marr C, Claassen M. Analysis of Cell Lineage Trees by Exact Bayesian Inference Identifies Negative Autoregulation of Nanog in Mouse Embryonic Stem Cells. Cell Syst 2019; 3:480-490.e13. [PMID: 27883891 DOI: 10.1016/j.cels.2016.11.001] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 08/25/2016] [Accepted: 10/31/2016] [Indexed: 11/28/2022]
Abstract
Many cellular effectors of pluripotency are dynamically regulated. In principle, regulatory mechanisms can be inferred from single-cell observations of effector activity across time. However, rigorous inference techniques suitable for noisy, incomplete, and heterogeneous data are lacking. Here, we introduce stochastic inference on lineage trees (STILT), an algorithm capable of identifying stochastic models that accurately describe the quantitative behavior of cell fate markers observed using time-lapse microscopy data collected from proliferating cell populations. STILT performs exact Bayesian parameter inference and stochastic model selection using a particle-filter-based algorithm. We use STILT to investigate the autoregulation of Nanog, a heterogeneously expressed core pluripotency factor, in mouse embryonic stem cells. STILT rejects the possibility of positive Nanog autoregulation with high confidence; instead, model predictions indicate weak negative feedback. We use STILT for rational experimental design and validate model predictions using novel experimental data. STILT is available for download as an open source framework from http://www.imsb.ethz.ch/research/claassen/Software/stilt---stochastic-inference-on-lineage-trees.html.
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Affiliation(s)
- Justin Feigelman
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland; Department of Mathematics, Technische Universität München, 85748 Garching, Germany
| | - Stefan Ganscha
- Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland
| | - Simon Hastreiter
- Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland
| | - Michael Schwarzfischer
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Adam Filipczyk
- Department of Microbiology, Oslo University Hospital, 0450 Oslo, Norway
| | - Timm Schroeder
- Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany; Department of Mathematics, Technische Universität München, 85748 Garching, Germany
| | - Carsten Marr
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany.
| | - Manfred Claassen
- Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland.
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10
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CRISPR/Cas9-mediated genome editing in naïve human embryonic stem cells. Sci Rep 2017; 7:16650. [PMID: 29192200 PMCID: PMC5709416 DOI: 10.1038/s41598-017-16932-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Accepted: 11/20/2017] [Indexed: 12/26/2022] Open
Abstract
The combination of genome-edited human embryonic stem cells (hESCs) and subsequent neural differentiation is a powerful tool to study neurodevelopmental disorders. Since the naïve state of pluripotency has favourable characteristics for efficient genome-editing, we optimized a workflow for the CRISPR/Cas9 system in these naïve stem cells. Editing efficiencies of respectively 1.3–8.4% and 3.8–19% were generated with the Cas9 nuclease and the D10A Cas9 nickase mutant. Next to this, wildtype and genome-edited naïve hESCs were successfully differentiated to neural progenitor cells. As a proof-of-principle of our workflow, two monoclonal genome-edited naïve hESCs colonies were obtained for TUNA, a long non-coding RNA involved in pluripotency and neural differentiation. In these genome-edited hESCs, an effect was seen on expression of TUNA, although not on neural differentiation potential. In conclusion, we optimized a genome-editing workflow in naïve hESCs that can be used to study candidate genes involved in neural differentiation and/or functioning.
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11
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Wang J, Jenjaroenpun P, Bhinge A, Angarica VE, Del Sol A, Nookaew I, Kuznetsov VA, Stanton LW. Single-cell gene expression analysis reveals regulators of distinct cell subpopulations among developing human neurons. Genome Res 2017; 27:1783-1794. [PMID: 29030469 PMCID: PMC5668937 DOI: 10.1101/gr.223313.117] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Accepted: 09/06/2017] [Indexed: 12/23/2022]
Abstract
The stochastic dynamics and regulatory mechanisms that govern differentiation of individual human neural precursor cells (NPC) into mature neurons are currently not fully understood. Here, we used single-cell RNA-sequencing (scRNA-seq) of developing neurons to dissect/identify NPC subtypes and critical developmental stages of alternative lineage specifications. This study comprises an unsupervised, high-resolution strategy for identifying cell developmental bifurcations, tracking the stochastic transcript kinetics of the subpopulations, elucidating regulatory networks, and finding key regulators. Our data revealed the bifurcation and developmental tracks of the two NPC subpopulations, and we captured an early (24 h) transition phase that leads to alternative neuronal specifications. The consequent up-regulation and down-regulation of stage- and subpopulation-specific gene groups during the course of maturation revealed biological insights with regard to key regulatory transcription factors and lincRNAs that control cellular programs in the identified neuronal subpopulations.
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Affiliation(s)
- Jiaxu Wang
- Stem Cell and Regenerative Biology, Genome Institute of Singapore/A-STAR, Singapore 138672
| | - Piroon Jenjaroenpun
- Genome and Gene expression Data Analysis Division, Bioinformatics Institute, Singapore 138671
| | - Akshay Bhinge
- Stem Cell and Regenerative Biology, Genome Institute of Singapore/A-STAR, Singapore 138672
| | | | - Antonio Del Sol
- Luxembourg Centre for Systems Biomedicine, Campus Belval, University of Luxembourg, L-4367 Luxembourg
| | - Intawat Nookaew
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205, USA
| | - Vladimir A Kuznetsov
- Genome and Gene expression Data Analysis Division, Bioinformatics Institute, Singapore 138671
| | - Lawrence W Stanton
- Stem Cell and Regenerative Biology, Genome Institute of Singapore/A-STAR, Singapore 138672
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12
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Peck BCE, Shanahan MT, Singh AP, Sethupathy P. Gut Microbial Influences on the Mammalian Intestinal Stem Cell Niche. Stem Cells Int 2017; 2017:5604727. [PMID: 28904533 PMCID: PMC5585682 DOI: 10.1155/2017/5604727] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 08/02/2017] [Indexed: 02/07/2023] Open
Abstract
The mammalian intestinal epithelial stem cell (IESC) niche is comprised of diverse epithelial, immune, and stromal cells, which together respond to environmental changes within the lumen and exert coordinated regulation of IESC behavior. There is growing appreciation for the role of the gut microbiota in modulating intestinal proliferation and differentiation, as well as other aspects of intestinal physiology. In this review, we evaluate the diverse roles of known niche cells in responding to gut microbiota and supporting IESCs. Furthermore, we discuss the potential mechanisms by which microbiota may exert their influence on niche cells and possibly on IESCs directly. Finally, we present an overview of the benefits and limitations of available tools to study niche-microbe interactions and provide our recommendations regarding their use and standardization. The study of host-microbe interactions in the gut is a rapidly growing field, and the IESC niche is at the forefront of host-microbe activity to control nutrient absorption, endocrine signaling, energy homeostasis, immune response, and systemic health.
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Affiliation(s)
- Bailey C. E. Peck
- Department of Surgery, School of Medicine, University of Michigan, Ann Arbor, MI 48105, USA
| | - Michael T. Shanahan
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Ajeet P. Singh
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Praveen Sethupathy
- Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
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13
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Symmons O, Raj A. What's Luck Got to Do with It: Single Cells, Multiple Fates, and Biological Nondeterminism. Mol Cell 2017; 62:788-802. [PMID: 27259209 DOI: 10.1016/j.molcel.2016.05.023] [Citation(s) in RCA: 131] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
The field of single-cell biology has morphed from a philosophical digression at its inception, to a playground for quantitative biologists, to a major area of biomedical research. The last several years have witnessed an explosion of new technologies, allowing us to apply even more of the modern molecular biology toolkit to single cells. Conceptual progress, however, has been comparatively slow. Here, we provide a framework for classifying both the origins of the differences between individual cells and the consequences of those differences. We discuss how the concept of "random" differences is context dependent, and propose that rigorous definitions of inputs and outputs may bring clarity to the discussion. We also categorize ways in which probabilistic behavior may influence cellular function, highlighting studies that point to exciting future directions in the field.
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Affiliation(s)
- Orsolya Symmons
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Arjun Raj
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
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14
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Waisman A, Vazquez Echegaray C, Solari C, Cosentino MS, Martyn I, Deglincerti A, Ozair MZ, Ruzo A, Barañao L, Miriuka S, Brivanlou A, Guberman A. Inhibition of Cell Division and DNA Replication Impair Mouse-Naïve Pluripotency Exit. J Mol Biol 2017; 429:2802-2815. [PMID: 28684247 DOI: 10.1016/j.jmb.2017.06.020] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2017] [Revised: 06/24/2017] [Accepted: 06/28/2017] [Indexed: 12/27/2022]
Abstract
The cell cycle has gained attention as a key determinant for cell fate decisions, but the contribution of DNA replication and mitosis in stem cell differentiation has not been extensively studied. To understand if these processes act as "windows of opportunity" for changes in cell identity, we established synchronized cultures of mouse embryonic stem cells as they exit the ground state of pluripotency. We show that initial transcriptional changes in this transition do not require passage through mitosis and that conversion to primed pluripotency is linked to lineage priming in the G1 phase. Importantly, we demonstrate that impairment of DNA replication severely blocks transcriptional switch to primed pluripotency, even in the absence of p53 activity induced by the DNA damage response. Our data suggest an important role for DNA replication during mouse embryonic stem cell differentiation, which could shed light on why pluripotent cells are only receptive to differentiation signals during G1, that is, before the S phase.
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Affiliation(s)
- Ariel Waisman
- Universidad de Buenos Aires, Laboratorio de Regulación Génica en Células Madre, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina; CONICET-Universidad de Buenos Aires, Instituto de Química Biológica (IQUIBICEN), Buenos Aires, Argentina
| | - Camila Vazquez Echegaray
- Universidad de Buenos Aires, Laboratorio de Regulación Génica en Células Madre, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina; CONICET-Universidad de Buenos Aires, Instituto de Química Biológica (IQUIBICEN), Buenos Aires, Argentina
| | - Claudia Solari
- Universidad de Buenos Aires, Laboratorio de Regulación Génica en Células Madre, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina; CONICET-Universidad de Buenos Aires, Instituto de Química Biológica (IQUIBICEN), Buenos Aires, Argentina
| | - María Soledad Cosentino
- Universidad de Buenos Aires, Laboratorio de Regulación Génica en Células Madre, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina; CONICET-Universidad de Buenos Aires, Instituto de Química Biológica (IQUIBICEN), Buenos Aires, Argentina
| | - Iain Martyn
- Laboratory of Stem Cell Biology and Molecular Embryology, The Rockefeller University, New York, NY 10065, USA
| | - Alessia Deglincerti
- Laboratory of Stem Cell Biology and Molecular Embryology, The Rockefeller University, New York, NY 10065, USA
| | - Mohammad Zeeshan Ozair
- Laboratory of Stem Cell Biology and Molecular Embryology, The Rockefeller University, New York, NY 10065, USA
| | - Albert Ruzo
- Laboratory of Stem Cell Biology and Molecular Embryology, The Rockefeller University, New York, NY 10065, USA
| | - Lino Barañao
- Universidad de Buenos Aires, Laboratorio de Regulación Génica en Células Madre, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Santiago Miriuka
- CONICET-Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI), Laboratorio de Investigación de Aplicación a Neurociencias (LIAN), Buenos Aires, Argentina
| | - Ali Brivanlou
- Laboratory of Stem Cell Biology and Molecular Embryology, The Rockefeller University, New York, NY 10065, USA
| | - Alejandra Guberman
- Universidad de Buenos Aires, Laboratorio de Regulación Génica en Células Madre, Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina; CONICET-Universidad de Buenos Aires, Instituto de Química Biológica (IQUIBICEN), Buenos Aires, Argentina; Departamento de Fisiología y Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina.
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15
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Betschinger J. Charting Developmental Dissolution of Pluripotency. J Mol Biol 2016; 429:1441-1458. [PMID: 28013029 DOI: 10.1016/j.jmb.2016.12.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 12/14/2016] [Indexed: 02/06/2023]
Abstract
The formation of tissues and organs during metazoan development begs fundamental questions of cellular plasticity: How can the very same genome program have diverse cell types? How do cell identity programs unfold during development in space and time? How can defects in these mechanisms cause disease and also provide opportunities for therapeutic intervention? And ultimately, can developmental programs be exploited for bioengineering tissues and organs? Understanding principle designs of cellular identity and developmental progression is crucial for providing answers. Here, I will discuss how the capture of embryonic pluripotency in murine embryonic stem cells (ESCs) in vitro has allowed fundamental insights into the molecular underpinnings of a developmental cell state and how its ordered disassembly during differentiation prepares for lineage specification.
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Affiliation(s)
- Joerg Betschinger
- Friedrich Miescher Institute for Biomedical Research, Maulbeerstrasse 66, 4058 Basel, Switzerland.
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16
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First steps to define murine amniotic fluid stem cell microenvironment. Sci Rep 2016; 6:37080. [PMID: 27845396 PMCID: PMC5109045 DOI: 10.1038/srep37080] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Accepted: 10/24/2016] [Indexed: 12/19/2022] Open
Abstract
Stem cell niche refers to the microenvironment where stem cells reside in living organisms. Several elements define the niche and regulate stem cell characteristics, such as stromal support cells, gap junctions, soluble factors, extracellular matrix proteins, blood vessels and neural inputs. In the last years, different studies demonstrated the presence of cKit+ cells in human and murine amniotic fluid, which have been defined as amniotic fluid stem (AFS) cells. Firstly, we characterized the murine cKit+ cells present both in the amniotic fluid and in the amnion. Secondly, to analyze the AFS cell microenvironment, we injected murine YFP+ embryonic stem cells (ESC) into the amniotic fluid of E13.5 wild type embryos. Four days after transplantation we found that YFP+ sorted cells maintained the expression of pluripotency markers and that ESC adherent to the amnion were more similar to original ESC in respect to those isolated from the amniotic fluid. Moreover, cytokines evaluation and oxygen concentration analysis revealed in this microenvironment the presence of factors that are considered key regulators in stem cell niches. This is the first indication that AFS cells reside in a microenvironment that possess specific characteristics able to maintain stemness of resident and exogenous stem cells.
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17
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Moris N, Pina C, Arias AM. Transition states and cell fate decisions in epigenetic landscapes. Nat Rev Genet 2016; 17:693-703. [PMID: 27616569 DOI: 10.1038/nrg.2016.98] [Citation(s) in RCA: 235] [Impact Index Per Article: 29.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Waddington's epigenetic landscape is an abstract metaphor frequently used to represent the relationship between gene activity and cell fates during development. Over the past few years, it has become a useful framework for interpreting results from single-cell transcriptomics experiments. It has led to the proposal that, during fate transitions, cells experience smooth, continuous progressions of global transcriptional activity, which can be captured by (pseudo)temporal dynamics. Here, focusing strictly on the fate decision events, we suggest an alternative view: that fate transitions occur in a discontinuous, stochastic manner whereby signals modulate the probability of the transition events.
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Affiliation(s)
- Naomi Moris
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK
| | - Cristina Pina
- Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
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