1
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Fatima N, Saif Ur Rahman M, Qasim M, Ali Ashfaq U, Ahmed U, Masoud MS. Transcriptional Factors Mediated Reprogramming to Pluripotency. Curr Stem Cell Res Ther 2024; 19:367-388. [PMID: 37073151 DOI: 10.2174/1574888x18666230417084518] [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: 12/18/2022] [Revised: 02/01/2023] [Accepted: 02/06/2023] [Indexed: 04/20/2023]
Abstract
A unique kind of pluripotent cell, i.e., Induced pluripotent stem cells (iPSCs), now being targeted for iPSC synthesis, are produced by reprogramming animal and human differentiated cells (with no change in genetic makeup for the sake of high efficacy iPSCs formation). The conversion of specific cells to iPSCs has revolutionized stem cell research by making pluripotent cells more controllable for regenerative therapy. For the past 15 years, somatic cell reprogramming to pluripotency with force expression of specified factors has been a fascinating field of biomedical study. For that technological primary viewpoint reprogramming method, a cocktail of four transcription factors (TF) has required: Kruppel-like factor 4 (KLF4), four-octamer binding protein 34 (OCT3/4), MYC and SOX2 (together referred to as OSKM) and host cells. IPS cells have great potential for future tissue replacement treatments because of their ability to self-renew and specialize in all adult cell types, although factor-mediated reprogramming mechanisms are still poorly understood medically. This technique has dramatically improved performance and efficiency, making it more useful in drug discovery, disease remodeling, and regenerative medicine. Moreover, in these four TF cocktails, more than 30 reprogramming combinations were proposed, but for reprogramming effectiveness, only a few numbers have been demonstrated for the somatic cells of humans and mice. Stoichiometry, a combination of reprogramming agents and chromatin remodeling compounds, impacts kinetics, quality, and efficiency in stem cell research.
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Affiliation(s)
- Nazira Fatima
- Laboratory Animal Center, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, China
| | - Muhammad Saif Ur Rahman
- Institute of Advanced Studies, Shenzhen University, Shenzhen, 518060, China
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China
| | - Muhammad Qasim
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan
| | - Usman Ali Ashfaq
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan
| | - Uzair Ahmed
- EMBL Partnership Institute for Genome Editing Technologies, Vilnius University, Vilnius, 10257, Lithuania
| | - Muhammad Shareef Masoud
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, 38000, Pakistan
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2
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Martínez-Zamudio RI, Stefa A, Nabuco Leva Ferreira Freitas JA, Vasilopoulos T, Simpson M, Doré G, Roux PF, Galan MA, Chokshi RJ, Bischof O, Herbig U. Escape from oncogene-induced senescence is controlled by POU2F2 and memorized by chromatin scars. CELL GENOMICS 2023; 3:100293. [PMID: 37082139 PMCID: PMC10112333 DOI: 10.1016/j.xgen.2023.100293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 01/13/2023] [Accepted: 03/02/2023] [Indexed: 04/22/2023]
Abstract
Although oncogene-induced senescence (OIS) is a potent tumor-suppressor mechanism, recent studies revealed that cells could escape from OIS with features of transformed cells. However, the mechanisms that promote OIS escape remain unclear, and evidence of post-senescent cells in human cancers is missing. Here, we unravel the regulatory mechanisms underlying OIS escape using dynamic multidimensional profiling. We demonstrate a critical role for AP1 and POU2F2 transcription factors in escape from OIS and identify senescence-associated chromatin scars (SACSs) as an epigenetic memory of OIS detectable during colorectal cancer progression. POU2F2 levels are already elevated in precancerous lesions and as cells escape from OIS, and its expression and binding activity to cis-regulatory elements are associated with decreased patient survival. Our results support a model in which POU2F2 exploits a precoded enhancer landscape necessary for senescence escape and reveal POU2F2 and SACS gene signatures as valuable biomarkers with diagnostic and prognostic potential.
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Affiliation(s)
- Ricardo Iván Martínez-Zamudio
- Center for Cell Signaling, Department of Microbiology, Biochemistry, and Molecular Genetics, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
- Department of Pharmacology, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Alketa Stefa
- Center for Cell Signaling, Department of Microbiology, Biochemistry, and Molecular Genetics, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
- Graduate School of Biomedical and Health Sciences, Rutgers University, Newark, NJ 07103 USA
| | - José Américo Nabuco Leva Ferreira Freitas
- Sorbonne Université, UMR 8256, Biological Adaptation and Ageing – IBPS, 75005 Paris, France
- INSERM U1164, 75005 Paris, France
- IMRB, Mondor Institute for Biomedical Research, INSERM U955 – Université Paris Est Créteil, UPEC, Faculté de Médecine de Créteil 8, rue du Général Sarrail, 94010 Créteil, France
| | - Themistoklis Vasilopoulos
- Center for Cell Signaling, Department of Microbiology, Biochemistry, and Molecular Genetics, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
- Graduate School of Biomedical and Health Sciences, Rutgers University, Newark, NJ 07103 USA
| | - Mark Simpson
- Center for Cell Signaling, Department of Microbiology, Biochemistry, and Molecular Genetics, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
| | - Gregory Doré
- Institut Pasteur, Plasmodium RNA Biology Unit, 25 Rue du Docteur Roux, 75724 Cedex 15 Paris, France
| | - Pierre-François Roux
- IRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, Université de Montpellier, Institut Régional du Cancer de Montpellier, Montpellier, France
| | - Mark A. Galan
- Department of Pathology and Laboratory Medicine, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
| | - Ravi J. Chokshi
- Department of Surgery, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
| | - Oliver Bischof
- IMRB, Mondor Institute for Biomedical Research, INSERM U955 – Université Paris Est Créteil, UPEC, Faculté de Médecine de Créteil 8, rue du Général Sarrail, 94010 Créteil, France
| | - Utz Herbig
- Center for Cell Signaling, Department of Microbiology, Biochemistry, and Molecular Genetics, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
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3
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Expression of Chrna9 is regulated by Tbx3 in undifferentiated pluripotent stem cells. Sci Rep 2023; 13:1611. [PMID: 36709241 PMCID: PMC9884305 DOI: 10.1038/s41598-023-28814-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 01/25/2023] [Indexed: 01/30/2023] Open
Abstract
It was reported that nicotinic acetylcholine receptor (nAChR)-mediated signaling pathways affect the proliferation and differentiation of pluripotent stem cells. However, detail expression profiles of nAChR genes were unrevealed in these cells. In this study, we comprehensively investigated the gene expression of α subunit of nAChRs (Chrna) during differentiation and induction of pluripotent stem cells. Mouse embryonic stem (ES) cells expressed multiple Chrna genes (Chrna3-5, 7 and 9) in undifferentiated status. Among them, Chrna9 was markedly down-regulated upon the differentiation into mesenchymal cell lineage. In mouse tissues and cells, Chrna9 was mainly expressed in testes, ES cells and embryonal F9 teratocarcinoma stem cells. Expression of Chrna9 gene was acutely reduced during differentiation of ES and F9 cells within 24 h. In contrast, Chrna9 expression was increased in induced pluripotent stem cells established from mouse embryonic fibroblast. It was shown by the reporter assays that T element-like sequence in the promoter region of Chrna9 gene is important for its activities in ES cells. Chrna9 was markedly reduced by siRNA-mediated knockdown of Tbx3, a pluripotency-related transcription factor of the T-box gene family. These results indicate that Chrna9 is a nAChR gene that are transcriptionally regulated by Tbx3 in undifferentiated pluripotent cells.
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4
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Huang T, Xiao H, Tian Q, He Z, Yuan C, Lin Z, Gao X, Yao M. Identification of upstream transcription factor binding sites in orthologous genes using mixed Student’s t-test statistics. PLoS Comput Biol 2022; 18:e1009773. [PMID: 35671296 PMCID: PMC9205514 DOI: 10.1371/journal.pcbi.1009773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 06/17/2022] [Accepted: 04/30/2022] [Indexed: 11/18/2022] Open
Abstract
Background Transcription factor (TF) regulates the transcription of DNA to messenger RNA by binding to upstream sequence motifs. Identifying the locations of known motifs in whole genomes is computationally intensive. Methodology/Principal findings This study presents a computational tool, named “Grit”, for screening TF-binding sites (TFBS) by coordinating transcription factors to their promoter sequences in orthologous genes. This tool employs a newly developed mixed Student’s t-test statistical method that detects high-scoring binding sites utilizing conservation information among species. The program performs sequence scanning at a rate of 3.2 Mbp/s on a quad-core Amazon server and has been benchmarked by the well-established ChIP-Seq datasets, putting Grit amongst the top-ranked TFBS predictors. It significantly outperforms the well-known transcription factor motif scanning tools, Pscan (4.8%) and FIMO (17.8%), in analyzing well-documented ChIP-Atlas human genome Chip-Seq datasets. Significance Grit is a good alternative to current available motif scanning tools. Locating transcription factor-binding (TF-binding) site in the genome and identification their function is fundamental in understanding various biological processes. Improve the performance of the prediction tools is important because accurate TF-binding site prediction can save cost and time for wet-lab experiments. Also, genome wide TF-binding site prediction can provide new insights for transcriptome regulation in system biology perspective. This study developed a new TF-binding site prediction tool based on mixed Student’s t-test statistical method. The tool is amongst the top-ranked TF-binding site predictors, as such, it can help the researchers in TF-binding site identification and transcriptional regulation mechanism interpretation of genes.
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Affiliation(s)
- Tinghua Huang
- College of Animal Science, Yangtze University, Jingzhou, China
| | - Hong Xiao
- College of Animal Science, Yangtze University, Jingzhou, China
| | - Qi Tian
- College of Animal Science, Yangtze University, Jingzhou, China
| | - Zhen He
- College of Animal Science, Yangtze University, Jingzhou, China
| | - Cheng Yuan
- College of Animal Science, Yangtze University, Jingzhou, China
| | - Zezhao Lin
- College of Animal Science, Yangtze University, Jingzhou, China
| | - Xuejun Gao
- College of Animal Science, Yangtze University, Jingzhou, China
- * E-mail: (XG); (MY)
| | - Min Yao
- College of Animal Science, Yangtze University, Jingzhou, China
- * E-mail: (XG); (MY)
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5
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Transcription factor networks in trophoblast development. Cell Mol Life Sci 2022; 79:337. [PMID: 35657505 PMCID: PMC9166831 DOI: 10.1007/s00018-022-04363-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 05/05/2022] [Accepted: 05/06/2022] [Indexed: 12/12/2022]
Abstract
The placenta sustains embryonic development and is critical for a successful pregnancy outcome. It provides the site of exchange between the mother and the embryo, has immunological functions and is a vital endocrine organ. To perform these diverse roles, the placenta comprises highly specialized trophoblast cell types, including syncytiotrophoblast and extravillous trophoblast. The coordinated actions of transcription factors (TFs) regulate their emergence during development, subsequent specialization, and identity. These TFs integrate diverse signaling cues, form TF networks, associate with chromatin remodeling and modifying factors, and collectively determine the cell type-specific characteristics. Here, we summarize the general properties of TFs, provide an overview of TFs involved in the development and function of the human trophoblast, and address similarities and differences to their murine orthologs. In addition, we discuss how the recent establishment of human in vitro models combined with -omics approaches propel our knowledge and transform the human trophoblast field.
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6
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Wang Y, Jia L, Wang C, Du Z, Zhang S, Zhou L, Wen X, Li H, Chen H, Nie Y, Li D, Liu S, Figueroa DS, Ay F, Xu W, Zhang S, Li W, Cui J, Hoffman AR, Guo H, Hu JF. Pluripotency exit is guided by the Peln1-mediated disruption of intrachromosomal architecture. J Cell Biol 2022; 221:213009. [PMID: 35171230 PMCID: PMC8855478 DOI: 10.1083/jcb.202009134] [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: 09/24/2020] [Revised: 12/01/2021] [Accepted: 01/19/2022] [Indexed: 11/22/2022] Open
Abstract
The molecular circuitry that causes stem cells to exit from pluripotency remains largely uncharacterized. Using chromatin RNA in situ reverse transcription sequencing, we identified Peln1 as a novel chromatin RNA component in the promoter complex of Oct4, a stem cell master transcription factor gene. Peln1 was negatively associated with pluripotent status during somatic reprogramming. Peln1 overexpression caused E14 cells to exit from pluripotency, while Peln1 downregulation induced robust reprogramming. Mechanistically, we discovered that Peln1 interacted with the Oct4 promoter and recruited the DNA methyltransferase DNMT3A. By de novo altering the epigenotype in the Oct4 promoter, Peln1 dismantled the intrachromosomal loop that is required for the maintenance of pluripotency. Using RNA reverse transcription-associated trap sequencing, we showed that Peln1 targets multiple pathway genes that are associated with stem cell self-renewal. These findings demonstrate that Peln1 can act as a new epigenetic player and use a trans mechanism to induce an exit from the pluripotent state in stem cells.
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Affiliation(s)
- Yichen Wang
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China.,Department of Endocrinology, First Hospital of Jilin University, Changchun, Jilin, China.,Stanford University Medical School, VA Palo Alto Health Care System, Palo Alto, CA
| | - Lin Jia
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China.,Stanford University Medical School, VA Palo Alto Health Care System, Palo Alto, CA
| | - Cong Wang
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China.,Stanford University Medical School, VA Palo Alto Health Care System, Palo Alto, CA
| | - Zhonghua Du
- Stanford University Medical School, VA Palo Alto Health Care System, Palo Alto, CA
| | - Shilin Zhang
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China.,Stanford University Medical School, VA Palo Alto Health Care System, Palo Alto, CA
| | - Lei Zhou
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China.,Stanford University Medical School, VA Palo Alto Health Care System, Palo Alto, CA
| | - Xue Wen
- Department of Endocrinology, First Hospital of Jilin University, Changchun, Jilin, China
| | - Hui Li
- Department of Endocrinology, First Hospital of Jilin University, Changchun, Jilin, China
| | - Huiling Chen
- Stanford University Medical School, VA Palo Alto Health Care System, Palo Alto, CA
| | - Yuanyuan Nie
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China.,Stanford University Medical School, VA Palo Alto Health Care System, Palo Alto, CA
| | - Dan Li
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China
| | - Shanshan Liu
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China.,Stanford University Medical School, VA Palo Alto Health Care System, Palo Alto, CA
| | | | - Ferhat Ay
- La Jolla Institute for Allergy and Immunology, La Jolla, CA
| | - Wei Xu
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China
| | - Songling Zhang
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China
| | - Wei Li
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China
| | - Jiuwei Cui
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China
| | - Andrew R Hoffman
- Department of Endocrinology, First Hospital of Jilin University, Changchun, Jilin, China
| | - Hui Guo
- Department of Endocrinology, First Hospital of Jilin University, Changchun, Jilin, China
| | - Ji-Fan Hu
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, Cancer Center, First Hospital of Jilin University, Changchun, Jilin, China.,Stanford University Medical School, VA Palo Alto Health Care System, Palo Alto, CA
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7
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Voss L, Bartos M, Elgueta C, Sauer JF. Interneuron function and cognitive behavior are preserved upon postnatal removal of Lhx6. Sci Rep 2022; 12:4923. [PMID: 35318414 PMCID: PMC8941127 DOI: 10.1038/s41598-022-09003-4] [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: 04/15/2021] [Accepted: 03/09/2022] [Indexed: 11/22/2022] Open
Abstract
LIM homeobox domain transcription factor 6 (Lhx6) is crucial for the prenatal specification and differentiation of hippocampal GABAergic interneuron precursors. Interestingly, Lhx6 remains to be expressed in parvalbumin-positive hippocampal interneurons (PVIs) long after specification and differentiation have been completed, the functional implications of which remain elusive. We addressed the role of adult-expressed Lhx6 in the hippocampus by knocking down Lhx6 in adult mice (> 8 weeks old) using viral or transgenic expression of Cre-recombinase in Lhx6loxP/loxP mice. Late removal of Lhx6 did not affect the number of PVIs and had no impact on the morphological and physiological properties of PVIs. Furthermore, mice lacking Lhx6 in PVIs displayed normal cognitive behavior. Loss of Lhx6 only partially reduced the expression of Sox6 and Arx, downstream transcription factors that depend on Lhx6 during embryonic development of PVIs. Our data thus suggest that while Lhx6 is vitally important to drive interneuron transcriptional networks during early development, it becomes uncoupled from downstream effectors during postnatal life.
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Affiliation(s)
- Lars Voss
- Institute of Physiology I, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Marlene Bartos
- Institute of Physiology I, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Claudio Elgueta
- Institute of Physiology I, Medical Faculty, University of Freiburg, Freiburg, Germany.
| | - Jonas-Frederic Sauer
- Institute of Physiology I, Medical Faculty, University of Freiburg, Freiburg, Germany.
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8
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Qiu C, Cao J, Martin BK, Li T, Welsh IC, Srivatsan S, Huang X, Calderon D, Noble WS, Disteche CM, Murray SA, Spielmann M, Moens CB, Trapnell C, Shendure J. Systematic reconstruction of cellular trajectories across mouse embryogenesis. Nat Genet 2022; 54:328-341. [PMID: 35288709 PMCID: PMC8920898 DOI: 10.1038/s41588-022-01018-x] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 01/21/2022] [Indexed: 12/12/2022]
Abstract
Mammalian embryogenesis is characterized by rapid cellular proliferation and diversification. Within a few weeks, a single-cell zygote gives rise to millions of cells expressing a panoply of molecular programs. Although intensively studied, a comprehensive delineation of the major cellular trajectories that comprise mammalian development in vivo remains elusive. Here, we set out to integrate several single-cell RNA-sequencing (scRNA-seq) datasets that collectively span mouse gastrulation and organogenesis, supplemented with new profiling of ~150,000 nuclei from approximately embryonic day 8.5 (E8.5) embryos staged in one-somite increments. Overall, we define cell states at each of 19 successive stages spanning E3.5 to E13.5 and heuristically connect them to their pseudoancestors and pseudodescendants. Although constructed through automated procedures, the resulting directed acyclic graph (TOME (trajectories of mammalian embryogenesis)) is largely consistent with our contemporary understanding of mammalian development. We leverage TOME to systematically nominate transcription factors (TFs) as candidate regulators of each cell type's specification, as well as 'cell-type homologs' across vertebrate evolution.
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Affiliation(s)
- Chengxiang Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
| | - Junyue Cao
- The Rockefeller University, New York, NY, USA
| | - Beth K Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Tony Li
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Xingfan Huang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Diego Calderon
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - William Stafford Noble
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Christine M Disteche
- Department of Pathology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Malte Spielmann
- Human Molecular Genomics Group, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Human Genetics, University of Lübeck, Lübeck, Germany
| | - Cecilia B Moens
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
- Howard Hughes Medical Institute, Seattle, WA, USA.
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9
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Hau AC, Mommaerts E, Laub V, Müller T, Dittmar G, Schulte D. Transcriptional cooperation of PBX1 and PAX6 in adult neural progenitor cells. Sci Rep 2021; 11:21013. [PMID: 34697387 PMCID: PMC8545929 DOI: 10.1038/s41598-021-99968-5] [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: 05/17/2021] [Accepted: 09/29/2021] [Indexed: 11/29/2022] Open
Abstract
PAX6 is a highly conserved transcription factor and key regulator of several neurogenic processes, including the continuous generation of dopaminergic/GABAergic interneurons in the adult ventricular-subventricular (V-SVZ) neurogenic system in mice. Here we report that PAX6 cooperates with the TALE-homeodomain transcription factor PBX1 in this context. Chromatin-immunoprecipitation showed that PBX1 and PAX6 co-occupy shared genomic binding sites in adult V-SVZ stem- and progenitor cell cultures and mouse embryonic stem cells, while depletion of Pbx1 revealed that association of PAX6 with these sites requires the presence of PBX1. Expression profiling together with viral overexpression or knockdown of Pax6 or Pbx1 identified novel PBX1-PAX6 co-regulated genes, including several transcription factors. Computational modeling of genome wide expression identified novel cross-regulatory networks among these very transcription factors. Taken together, the results presented here highlight the intimate link that exists between PAX6 and TALE-HD family proteins and contribute novel insights into how the orchestrated activity of transcription factors shapes adult V-SVZ neurogenesis.
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Affiliation(s)
- Ann-Christin Hau
- Neurological Institute, Edinger Institute, University Hospital, Goethe University, Heinrich-Hoffmann-Str. 7, 60528, Frankfurt, Germany. .,NorLux Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Strassen, Luxembourg. .,National Center of Pathology, Laboratoire National de Santé, 1 rue Louis Rech, 3555, Dudelange, Luxembourg.
| | - Elise Mommaerts
- Quantitative Biology Unit, LUXGEN, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445, Strassen, Luxembourg
| | - Vera Laub
- Neurological Institute, Edinger Institute, University Hospital, Goethe University, Heinrich-Hoffmann-Str. 7, 60528, Frankfurt, Germany
| | - Tamara Müller
- Neurological Institute, Edinger Institute, University Hospital, Goethe University, Heinrich-Hoffmann-Str. 7, 60528, Frankfurt, Germany
| | - Gunnar Dittmar
- Quantitative Biology Unit, LUXGEN, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445, Strassen, Luxembourg
| | - Dorothea Schulte
- Neurological Institute, Edinger Institute, University Hospital, Goethe University, Heinrich-Hoffmann-Str. 7, 60528, Frankfurt, Germany.
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10
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Zhou S, Cisse B. Regulation of Microglia for the Treatment of Glioma. World Neurosurg 2021; 154:222-227. [PMID: 34583499 DOI: 10.1016/j.wneu.2021.06.107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 06/24/2021] [Indexed: 10/20/2022]
Abstract
Microglia are the resident macrophages of the central nervous system (CNS). They are derived from the erythromyeloid progenitors in the embryonic yolk sac, and they are maintained postnatally by limited self-renewal and longevity. As the most abundant immune cells in the CNS, they play critical roles in homeostasis and various CNS pathologies, including tumor, stroke, and neurodegenerative disease. For instance, in gliomas, up to more than 30% of cells in the tumor microenvironment can be microglia and tumor-associated macrophages. These cells are typically coopted by tumor cells to create a pro-tumorigenic microenvironment. The transcriptional regulation of the development and function of microglia in health and disease is not well understood. Transcription factors are master regulators of cell fates and functions and activate target genes that execute a genetic program typically initiated by external stimuli. Several transcription factors, not necessarily specific to microglia, have been shown to play roles in the development, function, and activation state of microglia. In this review, we summarize our current understanding of the roles of transcription factors in the functions of microglia in normal CNS homeostasis and in gliomas. A thorough understanding of the transcription factors and their target genes that mediate and regulate the functions of microglia in gliomas may help identify new targets for immune therapies. These stroma-directed therapies may be combined with tumor cell-directed therapies for more effective treatment of these diseases.
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Affiliation(s)
- Sichang Zhou
- Department of Neurosurgery, NewYork-Presbyterian/Weill Cornell Medicine, New York, New York, USA
| | - Babacar Cisse
- Department of Neurosurgery, NewYork-Presbyterian/Weill Cornell Medicine, New York, New York, USA.
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11
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Saint-André V. Computational biology approaches for mapping transcriptional regulatory networks. Comput Struct Biotechnol J 2021; 19:4884-4895. [PMID: 34522292 PMCID: PMC8426465 DOI: 10.1016/j.csbj.2021.08.028] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 08/16/2021] [Accepted: 08/16/2021] [Indexed: 12/13/2022] Open
Abstract
Transcriptional Regulatory Networks (TRNs) are mainly responsible for the cell-type- or cell-state-specific expression of gene sets from the same DNA sequence. However, so far there are no precise maps of TRNs available for each cell-type or cell-state, and no ideal tool to map those networks clearly and in full from biological samples. In this review, major approaches and tools to map TRNs from high-throughput data are presented, depending on the type of methods or data used to infer them, and their advantages and limitations are discussed. After summarizing the main principles defining the topology and structure–function relationships in TRNs, an overview of the extensive work done to map TRNs from bulk transcriptomic data will be presented by type of methodological approach. Most recent modellings of TRNs using other types of molecular data or integrating different data types, including single-cell RNA-sequencing and chromatin information, will then be discussed, before briefly concluding with improvements expected to come in the field.
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Affiliation(s)
- Violaine Saint-André
- Hub de Bioinformatique et Biostatistique - Département Biologie Computationnelle, Institut Pasteur, Paris, France
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12
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Clarke ZA, Andrews TS, Atif J, Pouyabahar D, Innes BT, MacParland SA, Bader GD. Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods. Nat Protoc 2021; 16:2749-2764. [PMID: 34031612 DOI: 10.1038/s41596-021-00534-0] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 03/12/2021] [Indexed: 11/09/2022]
Abstract
Single-cell transcriptomics can profile thousands of cells in a single experiment and identify novel cell types, states and dynamics in a wide variety of tissues and organisms. Standard experimental protocols and analysis workflows have been developed to create single-cell transcriptomic maps from tissues. This tutorial focuses on how to interpret these data to identify cell types, states and other biologically relevant patterns with the objective of creating an annotated map of cells. We recommend a three-step workflow including automatic cell annotation (wherever possible), manual cell annotation and verification. Frequently encountered challenges are discussed, as well as strategies to address them. Guiding principles and specific recommendations for software tools and resources that can be used for each step are covered, and an R notebook is included to help run the recommended workflow. Basic familiarity with computer software is assumed, and basic knowledge of programming (e.g., in the R language) is recommended.
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Affiliation(s)
- Zoe A Clarke
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Tallulah S Andrews
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.,Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, Ontario, Canada.,Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Jawairia Atif
- Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, Ontario, Canada.,Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Delaram Pouyabahar
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Brendan T Innes
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sonya A MacParland
- Ajmera Transplant Centre, Toronto General Hospital Research Institute, Toronto, Ontario, Canada. .,Department of Immunology, University of Toronto, Toronto, Ontario, Canada. .,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
| | - Gary D Bader
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada. .,The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada. .,Department of Computer Science, University of Toronto, Toronto, Ontario, Canada. .,Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada.
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13
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Posfai E, Lanner F, Mulas C, Leitch HG. All models are wrong, but some are useful: Establishing standards for stem cell-based embryo models. Stem Cell Reports 2021; 16:1117-1141. [PMID: 33979598 PMCID: PMC8185978 DOI: 10.1016/j.stemcr.2021.03.019] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/17/2021] [Accepted: 03/17/2021] [Indexed: 02/06/2023] Open
Abstract
Detailed studies of the embryo allow an increasingly mechanistic understanding of development, which has proved of profound relevance to human disease. The last decade has seen in vitro cultured stem cell-based models of embryo development flourish, which provide an alternative to the embryo for accessible experimentation. However, the usefulness of any stem cell-based embryo model will be determined by how accurately it reflects in vivo embryonic development, and/or the extent to which it facilitates new discoveries. Stringent benchmarking of embryo models is thus an important consideration for this growing field. Here we provide an overview of means to evaluate both the properties of stem cells, the building blocks of most embryo models, as well as the usefulness of current and future in vitro embryo models.
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Affiliation(s)
- Eszter Posfai
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
| | - Fredrik Lanner
- Department of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden; Division of Obstetrics and Gynecology, Karolinska Universitetssjukhuset, Stockholm, Sweden; Ming Wai Lau Center for Reparative Medicine, Stockholm node, Karolinska Institutet, Stockholm, Sweden
| | - Carla Mulas
- Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Harry G Leitch
- MRC London Institute of Medical Sciences, London, UK; Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London W12 0NN, UK; Centre for Paediatrics and Child Health, Faculty of Medicine, Imperial College London, London W2 1PG, UK
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14
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Seavey CN, Pobbati AV, Hallett A, Ma S, Reynolds JP, Kanai R, Lamar JM, Rubin BP. WWTR1(TAZ)- CAMTA1 gene fusion is sufficient to dysregulate YAP/TAZ signaling and drive epithelioid hemangioendothelioma tumorigenesis. Genes Dev 2021; 35:512-527. [PMID: 33766982 PMCID: PMC8015722 DOI: 10.1101/gad.348220.120] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 02/26/2021] [Indexed: 12/11/2022]
Abstract
Epithelioid hemangioendothelioma (EHE) is a genetically homogenous vascular sarcoma that is a paradigm for TAZ dysregulation in cancer. EHE harbors a WWTR1(TAZ)-CAMTA1 gene fusion in >90% of cases, 45% of which have no other genetic alterations. In this study, we used a first of its kind approach to target the Wwtr1-Camta1 gene fusion to the Wwtr1 locus, to develop a conditional EHE mouse model whereby Wwtr1-Camta1 is controlled by the endogenous transcriptional regulators upon Cre activation. These mice develop EHE tumors that are indistinguishable from human EHE clinically, histologically, immunohistochemically, and genetically. Overall, these results demonstrate unequivocally that TAZ-CAMTA1 is sufficient to drive EHE formation with exquisite specificity, as no other tumor types were observed. Furthermore, we fully credential this unique EHE mouse model as a valid preclinical model for understanding the role of TAZ dysregulation in cancer formation and for testing therapies directed at TAZ-CAMTA1, TAZ, and YAP/TAZ signaling.
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Affiliation(s)
- Caleb N Seavey
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA
- Department of General Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA
- Department of Molecular Medicine, PRISM Program, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio 44195, USA
| | - Ajaybabu V Pobbati
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA
| | - Andrea Hallett
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA
| | - Shuang Ma
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA
| | - Jordan P Reynolds
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA
| | - Ryan Kanai
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, New York 12208, USA
| | - John M Lamar
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, New York 12208, USA
| | - Brian P Rubin
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA
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15
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Lackner A, Sehlke R, Garmhausen M, Giuseppe Stirparo G, Huth M, Titz-Teixeira F, van der Lelij P, Ramesmayer J, Thomas HF, Ralser M, Santini L, Galimberti E, Sarov M, Stewart AF, Smith A, Beyer A, Leeb M. Cooperative genetic networks drive embryonic stem cell transition from naïve to formative pluripotency. EMBO J 2021; 40:e105776. [PMID: 33687089 PMCID: PMC8047444 DOI: 10.15252/embj.2020105776] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 12/11/2022] Open
Abstract
In the mammalian embryo, epiblast cells must exit the naïve state and acquire formative pluripotency. This cell state transition is recapitulated by mouse embryonic stem cells (ESCs), which undergo pluripotency progression in defined conditions in vitro. However, our understanding of the molecular cascades and gene networks involved in the exit from naïve pluripotency remains fragmentary. Here, we employed a combination of genetic screens in haploid ESCs, CRISPR/Cas9 gene disruption, large‐scale transcriptomics and computational systems biology to delineate the regulatory circuits governing naïve state exit. Transcriptome profiles for 73 ESC lines deficient for regulators of the exit from naïve pluripotency predominantly manifest delays on the trajectory from naïve to formative epiblast. We find that gene networks operative in ESCs are also active during transition from pre‐ to post‐implantation epiblast in utero. We identified 496 naïve state‐associated genes tightly connected to the in vivo epiblast state transition and largely conserved in primate embryos. Integrated analysis of mutant transcriptomes revealed funnelling of multiple gene activities into discrete regulatory modules. Finally, we delineate how intersections with signalling pathways direct this pivotal mammalian cell state transition.
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Affiliation(s)
- Andreas Lackner
- Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Vienna, Austria
| | - Robert Sehlke
- Cologne Excellence Cluster Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Marius Garmhausen
- Cologne Excellence Cluster Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Giuliano Giuseppe Stirparo
- Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.,Living Systems Institute, University of Exeter, Exeter, UK
| | - Michelle Huth
- Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Vienna, Austria
| | - Fabian Titz-Teixeira
- Cologne Excellence Cluster Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Petra van der Lelij
- Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Vienna, Austria
| | - Julia Ramesmayer
- Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Vienna, Austria
| | - Henry F Thomas
- Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Vienna, Austria
| | - Meryem Ralser
- Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Laura Santini
- Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Vienna, Austria
| | - Elena Galimberti
- Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Vienna, Austria
| | - Mihail Sarov
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - A Francis Stewart
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.,Biotechnology Center, Center for Molecular and Cellular Bioengineering, Technische Universität Dresden, Dresden, Germany
| | - Austin Smith
- Wellcome - MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.,Living Systems Institute, University of Exeter, Exeter, UK
| | - Andreas Beyer
- Cologne Excellence Cluster Cellular Stress Response in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany.,Center for Molecular Medicine (CMMC), University of Cologne, Cologne, Germany
| | - Martin Leeb
- Max Perutz Laboratories Vienna, University of Vienna, Vienna Biocenter, Vienna, Austria
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16
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LncRNA Mrhl orchestrates differentiation programs in mouse embryonic stem cells through chromatin mediated regulation. Stem Cell Res 2021; 53:102250. [PMID: 33662735 DOI: 10.1016/j.scr.2021.102250] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 01/15/2021] [Accepted: 02/10/2021] [Indexed: 12/15/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) have been well-established to act as regulators and mediators of development and cell fate specification programs. LncRNA Mrhl (meiotic recombination hotspot locus) has been shown to act in a negative feedback loop with WNT signaling to regulate male germ cell meiotic commitment. In our current study, we have addressed the role of Mrhl in development and differentiation using mouse embryonic stem cells (mESCs) as our model system of study. Mrhl is a nuclear-localized, chromatin-bound lncRNA with moderately stable expression in mESCs. Transcriptome analyses and loss-of-function phenotype studies revealed dysregulation of developmental processes, lineage-specific transcription factors and key networks along with aberrance in specification of early lineages during differentiation of mESCs. Genome-wide chromatin occupancy studies suggest regulation of chromatin architecture at key target loci through triplex formation. Our studies thus reveal a role for lncRNA Mrhl in regulating differentiation programs in mESCs in the context of appropriate cues through chromatin-mediated responses.
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17
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Zhang R, Xu K, Shao Y, Sun Y, Saredy J, Cutler E, Yao T, Liu M, Liu L, Drummer Iv C, Lu Y, Saaoud F, Ni D, Wang J, Li Y, Li R, Jiang X, Wang H, Yang X. Tissue Treg Secretomes and Transcription Factors Shared With Stem Cells Contribute to a Treg Niche to Maintain Treg-Ness With 80% Innate Immune Pathways, and Functions of Immunosuppression and Tissue Repair. Front Immunol 2021; 11:632239. [PMID: 33613572 PMCID: PMC7892453 DOI: 10.3389/fimmu.2020.632239] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 12/18/2020] [Indexed: 12/12/2022] Open
Abstract
We used functional -omics angles and examined transcriptomic heterogeneity in CD4+Foxp3+ regulatory T cells (Treg) from spleen (s-Treg), lymph nodes (LN-Treg), intestine (int-Treg), and visceral adipose tissue (VAT-Treg), and made significant findings: 1) Five new shared Treg genes including NIBAN, TNFRSF1b, DUSP4,VAV2, and KLRG1, and 68 new signatures are identified. Among 27 signaling pathways shared in four tissue Treg, 22 pathways are innate immune pathways (81.5%); 2) s-Treg, LN-Treg, int-Treg, and VAT-Treg have zero, 49, 45, and 116 upregulated pathways, respectively; 3) 12, 7, and 15 out of 373 CD markers are identified as specific for LN-Treg, int-Treg, and VAT-Treg, respectively, which may initiate innate immune signaling; 4) 7, 49, 44, and 79 increased cytokines out of 1176 cytokines are identified for four Treg, respectively, suggesting that Treg have much more secretory proteins/cytokines than IL-10, TGF-β, and IL-35; 5) LN-Treg, int-Treg, and VAT-Treg have 13 additional secretory functions more than s-Treg, found by analyzing 1,706 secretomic genes; 6) 2, 20, 25, and 43 increased transcription factors (TFs) out of 1,496 TFs are identified four Treg, respectively; 7) LN-Treg and int-Treg have increased pyroptosis regulators but VAT-Treg have increased apoptosis regulators; 8) 1, 15, 19, and 31 increased kinases out of 661 kinome are identified for s-Treg, LN-Treg, int-Treg, and VAT-Treg, respectively; 9) comparing with that of s-Treg, LN-Treg, int-Treg, and VAT-Treg increase activated cluster (clusters 1–3) markers; and decrease resting cluster (clusters 4–6) markers; and 10) Treg promote tissue repair by sharing secretomes and TFs AHR, ETV5, EGR1, and KLF4 with stem cells, which partially promote upregulation of all the groups of Treg genes. These results suggest that stem cell-shared master genes make tissue Treg as the first T cell type using a Treg niche to maintain their Treg-ness with 80% innate immune pathways, and triple functions of immunosuppression, tissue repair, and homeostasis maintenance. Our results have provided novel insights on the roles of innate immune pathways on Treg heterogeneity and new therapeutic targets for immunosuppression, tissue repair, cardiovascular diseases, chronic kidney disease, autoimmune diseases, transplantation, and cancers.
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Affiliation(s)
- Ruijing Zhang
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.,Department of Nephrology, The Second Hospital of Shanxi Medical University, Shanxi, China.,Shanxi Medical University, Shanxi, China.,Department of Nephrology, The Affiliated People's Hospital of Shanxi Medical University, Shanxi, China
| | - Keman Xu
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Ying Shao
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Yu Sun
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Jason Saredy
- Metabolic Disease Research & Thrombosis Research, Departments of Pharmacology, Microbiology and Immunology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Elizabeth Cutler
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.,School of Science and Engineering, Tulane University, New Orleans, LA, United States
| | - Tian Yao
- Shanxi Medical University, Shanxi, China
| | - Ming Liu
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.,Shanxi Medical University, Shanxi, China
| | - Lu Liu
- Metabolic Disease Research & Thrombosis Research, Departments of Pharmacology, Microbiology and Immunology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Charles Drummer Iv
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Yifan Lu
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Fatma Saaoud
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Dong Ni
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Jirong Wang
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.,Department of Nephrology, The Second Hospital of Shanxi Medical University, Shanxi, China
| | - Yafeng Li
- Department of Nephrology, The Affiliated People's Hospital of Shanxi Medical University, Shanxi, China
| | - Rongshan Li
- Department of Nephrology, The Affiliated People's Hospital of Shanxi Medical University, Shanxi, China
| | - Xiaohua Jiang
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.,Metabolic Disease Research & Thrombosis Research, Departments of Pharmacology, Microbiology and Immunology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Hong Wang
- Metabolic Disease Research & Thrombosis Research, Departments of Pharmacology, Microbiology and Immunology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
| | - Xiaofeng Yang
- Centers for Cardiovascular Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.,Metabolic Disease Research & Thrombosis Research, Departments of Pharmacology, Microbiology and Immunology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States.,Inflammation, Translational & Clinical Lung Research, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, United States
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18
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Zanin M, Aitya NA, Basilio J, Baumbach J, Benis A, Behera CK, Bucholc M, Castiglione F, Chouvarda I, Comte B, Dao TT, Ding X, Pujos-Guillot E, Filipovic N, Finn DP, Glass DH, Harel N, Iesmantas T, Ivanoska I, Joshi A, Boudjeltia KZ, Kaoui B, Kaur D, Maguire LP, McClean PL, McCombe N, de Miranda JL, Moisescu MA, Pappalardo F, Polster A, Prasad G, Rozman D, Sacala I, Sanchez-Bornot JM, Schmid JA, Sharp T, Solé-Casals J, Spiwok V, Spyrou GM, Stalidzans E, Stres B, Sustersic T, Symeonidis I, Tieri P, Todd S, Van Steen K, Veneva M, Wang DH, Wang H, Wang H, Watterson S, Wong-Lin K, Yang S, Zou X, Schmidt HH. An Early Stage Researcher's Primer on Systems Medicine Terminology. NETWORK AND SYSTEMS MEDICINE 2021; 4:2-50. [PMID: 33659919 PMCID: PMC7919422 DOI: 10.1089/nsm.2020.0003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/27/2020] [Indexed: 12/19/2022] Open
Abstract
Background: Systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring Systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to Systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the Systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic.
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Affiliation(s)
- Massimiliano Zanin
- Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Madrid, Spain
| | - Nadim A.A. Aitya
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - José Basilio
- Center for Physiology and Pharmacology, Institute of Vascular Biology and Thrombosis Research, Medical University of Vienna, Vienna, Austria
| | - Jan Baumbach
- TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Arriel Benis
- Faculty of Technology Management, Holon Institute of Technology (HIT), Holon, Israel
| | - Chandan K. Behera
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Magda Bucholc
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Filippo Castiglione
- CNR National Research Council, IAC Institute for Applied Computing, Rome, Italy
| | - Ioanna Chouvarda
- Lab of Computing, Medical Informatics, and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Blandine Comte
- Université Clermont Auvergne, INRAE, UNH, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France
| | - Tien-Tuan Dao
- Biomechanics and Bioengineering Laboratory (UMR CNRS 7338), Université de Technologie de Compiègne, Compiègne, France
- Labex MS2T “Control of Technological Systems-of-Systems,” CNRS and Université de Technologie de Compiègne, Compiègne, France
| | - Xuemei Ding
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Estelle Pujos-Guillot
- Université Clermont Auvergne, INRAE, UNH, Plateforme d'Exploration du Métabolisme, MetaboHUB Clermont, Clermont-Ferrand, France
| | - Nenad Filipovic
- Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
- Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia
- Steinbeis Advanced Risk Technologies Institute doo Kragujevac, Kragujevac, Serbia
| | - David P. Finn
- Pharmacology and Therapeutics, School of Medicine, Galway Neuroscience Centre, National University of Ireland, Galway, Republic of Ireland
| | - David H. Glass
- School of Computing, Ulster University, Ulster, United Kingdom
| | - Nissim Harel
- Faculty of Sciences, Holon Institute of Technology (HIT), Holon, Israel
| | - Tomas Iesmantas
- Department of Mathematics and Natural Sciences, Kaunas University of Technology, Kaunas, Lithuania
| | - Ilinka Ivanoska
- Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia
| | - Alok Joshi
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Karim Zouaoui Boudjeltia
- Laboratory of Experimental Medicine (ULB 222), Medicine Faculty, Université libre de Bruxelles, CHU de Charleroi, Charleroi, Belgium
| | - Badr Kaoui
- Biomechanics and Bioengineering Laboratory (UMR CNRS 7338), Université de Technologie de Compiègne, Compiègne, France
- Labex MS2T “Control of Technological Systems-of-Systems,” CNRS and Université de Technologie de Compiègne, Compiègne, France
| | - Daman Kaur
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Ulster, United Kingdom
| | - Liam P. Maguire
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Paula L. McClean
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, Ulster University, Ulster, United Kingdom
| | - Niamh McCombe
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - João Luís de Miranda
- Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Portalegre, Portalegre, Portugal
- Centro de Recursos Naturais e Ambiente (CERENA), Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
| | | | | | - Annikka Polster
- Centre for Molecular Medicine Norway (NCMM), Forskningparken, Oslo, Norway
| | - Girijesh Prasad
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Damjana Rozman
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Ioan Sacala
- Faculty of Automatic Control and Computers, University Politehnica of Bucharest, Bucharest, Romania
| | - Jose M. Sanchez-Bornot
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Johannes A. Schmid
- Center for Physiology and Pharmacology, Institute of Vascular Biology and Thrombosis Research, Medical University of Vienna, Vienna, Austria
| | - Trevor Sharp
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | - Jordi Solé-Casals
- Data and Signal Processing Research Group, University of Vic–Central University of Catalonia, Vic, Spain
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- College of Artificial Intelligence, Nankai University, Tianjin, China
| | - Vojtěch Spiwok
- Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czech Republic
| | - George M. Spyrou
- The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
| | - Egils Stalidzans
- Computational Systems Biology Group, Institute of Microbiology and Biotechnology, University of Latvia, Riga, Latvia
| | - Blaž Stres
- Department of Animal Science, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
- Faculty of Civil and Geodetic Engineering, University of Ljubljana, Ljubljana, Slovenia
- Department of Automation, Biocybernetics and Robotics, Jozef Stefan Institute, Ljubljana, Slovenia
| | - Tijana Sustersic
- Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia
- Bioengineering Research and Development Center (BioIRC), Kragujevac, Serbia
- Steinbeis Advanced Risk Technologies Institute doo Kragujevac, Kragujevac, Serbia
| | - Ioannis Symeonidis
- Center for Research and Technology Hellas, Hellenic Institute of Transport, Thessaloniki, Greece
| | - Paolo Tieri
- CNR National Research Council, IAC Institute for Applied Computing, Rome, Italy
| | - Stephen Todd
- Altnagelvin Area Hospital, Western Health and Social Care Trust, Altnagelvin, United Kingdom
| | - Kristel Van Steen
- BIO3-Systems Genetics, GIGA-R, University of Liege, Liege, Belgium
- BIO3-Systems Medicine, Department of Human Genetics, KU Leuven, Leuven, Belgium
| | | | - Da-Hui Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, and School of Systems Science, Beijing Normal University, Beijing, China
| | - Haiying Wang
- School of Computing, Ulster University, Ulster, United Kingdom
| | - Hui Wang
- School of Computing, Ulster University, Ulster, United Kingdom
| | - Steven Watterson
- Northern Ireland Centre for Stratified Medicine, Ulster University, Londonderry, United Kingdom
| | - KongFatt Wong-Lin
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Su Yang
- Intelligent Systems Research Centre, School of Computing, Engineering and Intelligent Systems, Ulster University, Ulster, United Kingdom
| | - Xin Zou
- Shanghai Centre for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Harald H.H.W. Schmidt
- Faculty of Health, Medicine & Life Science, Maastricht University, Maastricht, The Netherlands
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19
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FOLFOX Therapy Induces Feedback Upregulation of CD44v6 through YB-1 to Maintain Stemness in Colon Initiating Cells. Int J Mol Sci 2021; 22:ijms22020753. [PMID: 33451103 PMCID: PMC7828641 DOI: 10.3390/ijms22020753] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/04/2021] [Accepted: 01/09/2021] [Indexed: 02/07/2023] Open
Abstract
Cancer initiating cells (CICs) drive tumor formation and drug-resistance, but how they develop drug-resistance characteristics is not well understood. In this study, we demonstrate that chemotherapeutic agent FOLFOX, commonly used for drug-resistant/metastatic colorectal cancer (CRC) treatment, induces overexpression of CD44v6, MDR1, and oncogenic transcription/translation factor Y-box-binding protein-1 (YB-1). Our study revealed that CD44v6, a receptor for hyaluronan, increased the YB-1 expression through PGE2/EP1-mTOR pathway. Deleting CD44v6, and YB-1 by the CRISPR/Cas9 system attenuates the in vitro and in vivo tumor growth of CICs from FOLFOX resistant cells. The results of DNA:CD44v6 immunoprecipitated complexes by ChIP (chromatin-immunoprecipitation) assay showed that CD44v6 maintained the stemness traits by promoting several antiapoptotic and stemness genes, including cyclin-D1,BCL2,FZD1,GINS-1, and MMP9. Further, computer-based analysis of the clones obtained from the DNA:CD44v6 complex revealed the presence of various consensus binding sites for core stemness-associated transcription factors “CTOS” (c-Myc, TWIST1, OCT4, and SOX2). Simultaneous expressions of CD44v6 and CTOS in CD44v6 knockout CICs reverted differentiated CD44v6-knockout CICs into CICs. Finally, this study for the first time describes a positive feedback loop that couples YB-1 induction and CD44 alternative splicing to sustain the MDR1 and CD44v6 expressions, and CD44v6 is required for the reversion of differentiated tumor cells into CICs.
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20
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Papathanasiou M, Tsiftsoglou SA, Polyzos AP, Papadopoulou D, Valakos D, Klagkou E, Karagianni P, Pliatska M, Talianidis I, Agelopoulos M, Thanos D. Identification of a dynamic gene regulatory network required for pluripotency factor-induced reprogramming of mouse fibroblasts and hepatocytes. EMBO J 2021; 40:e102236. [PMID: 33034061 PMCID: PMC7780151 DOI: 10.15252/embj.2019102236] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 08/27/2020] [Accepted: 09/07/2020] [Indexed: 01/04/2023] Open
Abstract
The generation of induced pluripotent stem cells (iPSCs) from somatic cells provides an excellent model to study mechanisms of transcription factor-induced global alterations of the epigenome and genome function. Here, we have investigated the early transcriptional events of cellular reprogramming triggered by the co-expression of Oct4, Sox2, Klf4, and c-Myc (OSKM) in mouse embryonic fibroblasts (MEFs) and mouse hepatocytes (mHeps). In this analysis, we identified a gene regulatory network composed of nine transcriptional regulators (9TR; Cbfa2t3, Gli2, Irf6, Nanog, Ovol1, Rcan1, Taf1c, Tead4, and Tfap4), which are directly targeted by OSKM, in vivo. Functional studies using single and double shRNA knockdowns of any of these factors caused disruption of the network and dramatic reductions in reprogramming efficiency, indicating that this network is essential for the induction and establishment of pluripotency. We demonstrate that the stochastic co-expression of 9TR network components occurs in a remarkably small number of cells, approximating the percentage of terminally reprogrammed cells as a result of dynamic molecular events. Thus, the early DNA-binding patterns of OSKM and the subsequent probabilistic co-expression of essential 9TR components in subpopulations of cells undergoing reprogramming steer the reconstruction of a gene regulatory network marking the transition to pluripotency.
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Affiliation(s)
| | | | | | | | | | | | | | - Maria Pliatska
- Biomedical Research Foundation Academy of AthensAthensGreece
| | | | | | - Dimitris Thanos
- Biomedical Research Foundation Academy of AthensAthensGreece
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21
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Miura K, Oiwa Y, Kawamura Y. Induced Pluripotent Stem Cells from Cancer-Resistant Naked Mole-Rats. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1319:329-339. [PMID: 34424523 DOI: 10.1007/978-3-030-65943-1_13] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Stem cells play essential roles in the development and tissue homeostasis of animals and are closely associated with carcinogenesis and aging. Also, the somatic cell reprogramming process to induced pluripotent stem (iPS) cells shares several characteristics with carcinogenesis. In this chapter, we focus on iPS cells and the reprogramming process of somatic cells in the naked mole-rat (NMR), the longest-living rodent with remarkable cancer resistance capabilities. NMR somatic cells show resistance to reprogramming induction, and generated NMR-iPS cells have a unique tumor-resistant phenotype. This phenotype is regulated by expressional activation of the tumor suppressor ARF gene and loss-of-function mutation in oncogene ERAS. Notably, it was also found that NMR somatic cells undergo senescence when ARF is suppressed during reprogramming, which would contribute to the resistance to both reprogramming and cancer in NMR somatic cells. Further studies on reprogramming resistance in NMR somatic cells and their concomitant tumor resistance in NMR-iPS cells would contribute to a better understanding of both cancer resistance and delayed aging in NMRs. In addition, NMR-iPS cells can be used as a new and important cell source for advancing research concerning several extraordinary physiological characteristics of NMR. Furthermore, study of NMR-iPS cells could lead to the development of safer regenerative therapies in the future.
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Affiliation(s)
- Kyoko Miura
- Department of Aging and Longevity Research, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan. .,Biomedical Animal Research Laboratory, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan.
| | - Yuki Oiwa
- Department of Aging and Longevity Research, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.,Biomedical Animal Research Laboratory, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan
| | - Yoshimi Kawamura
- Department of Aging and Longevity Research, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.,Biomedical Animal Research Laboratory, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan
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22
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Postema FAM, Oosterwijk JC, Hennekam RC. Genetic control of tumor development in malformation syndromes. Am J Med Genet A 2020; 185:324-335. [PMID: 33141500 DOI: 10.1002/ajmg.a.61947] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 10/19/2020] [Accepted: 10/19/2020] [Indexed: 02/01/2023]
Abstract
One of the questions that arises frequently when caring for an individual with a malformation syndrome, is whether some form of tumor surveillance is indicated. In some syndromes there is a highly variable increased risk to develop tumors, while in others this is not the case. The risks can be hard to predict and difficult to explain to affected individuals and their families, and often also to caregivers. The queries arise especially if syndrome causing mutations are also known to occur in tumors. It needs insight in the mechanisms to understand and explain differences of tumor occurrence, and to offer optimal care to individuals with syndromes. Here we provide a short overview of the major mechanisms of the control for tumor occurrences in malformation syndromes.
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Affiliation(s)
- Floor A M Postema
- Department of Pediatrics, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jan C Oosterwijk
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Raoul C Hennekam
- Department of Pediatrics, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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23
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Wu Z, Guan KL. Hippo Signaling in Embryogenesis and Development. Trends Biochem Sci 2020; 46:51-63. [PMID: 32928629 DOI: 10.1016/j.tibs.2020.08.008] [Citation(s) in RCA: 94] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 07/27/2020] [Accepted: 08/13/2020] [Indexed: 12/13/2022]
Abstract
Hippo pathway components are structurally and functionally conserved and are notable for their role in controlling organ size. More diverse functions of the Hippo pathway have been recognized, including development, tissue homeostasis, wound healing and regeneration, immunity, and tumorigenesis. During embryogenesis, different signaling pathways are repeatedly and cooperatively activated, leading to differential gene expression in specific developmental contexts. In this article, we present an overview on the regulation and function of the Hippo pathway in mammalian early development. We introduce the Hippo pathway components and major upstream signals that act through this pathway to influence embryogenesis. We also discuss the roles of Hippo pathway in tissue specification and organ development during organogenesis.
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Affiliation(s)
- Zhengming Wu
- Department of Pharmacology and Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA
| | - Kun-Liang Guan
- Department of Pharmacology and Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA.
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24
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Barth E, Sieber P, Stark H, Schuster S. Robustness during Aging-Molecular Biological and Physiological Aspects. Cells 2020; 9:E1862. [PMID: 32784503 PMCID: PMC7465392 DOI: 10.3390/cells9081862] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 07/27/2020] [Accepted: 08/05/2020] [Indexed: 12/13/2022] Open
Abstract
Understanding the process of aging is still an important challenge to enable healthy aging and to prevent age-related diseases. Most studies in age research investigate the decline in organ functionality and gene activity with age. The focus on decline can even be considered a paradigm in that field. However, there are certain aspects that remain surprisingly stable and keep the organism robust. Here, we present and discuss various properties of robust behavior during human and animal aging, including physiological and molecular biological features, such as the hematocrit, body temperature, immunity against infectious diseases and others. We examine, in the context of robustness, the different theories of how aging occurs. We regard the role of aging in the light of evolution.
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Affiliation(s)
- Emanuel Barth
- RNA Bioinformatics/High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Patricia Sieber
- Matthias Schleiden Institute, Bioinformatics, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Heiko Stark
- Institute of Zoology and Evolutionary Research with Phyletic Museum, Friedrich Schiller University Jena, 07743 Jena, Germany;
| | - Stefan Schuster
- Matthias Schleiden Institute, Bioinformatics, Friedrich Schiller University Jena, 07743 Jena, Germany;
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25
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Kolovos P, Nishimura K, Sankar A, Sidoli S, Cloos PA, Helin K, Christensen J. PR-DUB maintains the expression of critical genes through FOXK1/2- and ASXL1/2/3-dependent recruitment to chromatin and H2AK119ub1 deubiquitination. Genome Res 2020; 30:1119-1130. [PMID: 32747411 PMCID: PMC7462075 DOI: 10.1101/gr.261016.120] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 07/10/2020] [Indexed: 12/12/2022]
Abstract
Polycomb group proteins are important for maintaining gene expression patterns and cell identity in metazoans. The mammalian Polycomb repressive deubiquitinase (PR-DUB) complexes catalyze removal of monoubiquitination on lysine 119 of histone H2A (H2AK119ub1) through a multiprotein core comprised of BAP1, HCFC1, FOXK1/2, and OGT in combination with either of ASXL1, 2, or 3. Mutations in PR-DUB components are frequent in cancer. However, mechanistic understanding of PR-DUB function in gene regulation is limited. Here, we show that BAP1 is dependent on the ASXL proteins and FOXK1/2 in facilitating gene activation across the genome. Although PR-DUB was previously shown to cooperate with PRC2, we observed minimal overlap and functional interaction between BAP1 and PRC2 in embryonic stem cells. Collectively, these results demonstrate that PR-DUB, by counteracting accumulation of H2AK119ub1, maintains chromatin in an optimal configuration ensuring expression of genes important for general functions such as cell metabolism and homeostasis.
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Affiliation(s)
- Petros Kolovos
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, DK-2200 Copenhagen N, Denmark.,The Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, DK-2200 Copenhagen N, Denmark.,Department of Molecular Biology and Genetics, Democritus University of Thrace, University Campus Dragana, 68100, Alexandroupolis, Greece
| | - Koutarou Nishimura
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, DK-2200 Copenhagen N, Denmark.,The Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, DK-2200 Copenhagen N, Denmark.,Cell Biology Program and Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center (MSKCC), New York, New York 10065, USA
| | - Aditya Sankar
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, DK-2200 Copenhagen N, Denmark.,The Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Simone Sidoli
- Department of Biochemistry, Albert Einstein College of Medicine, Bronx, New York 10461, USA
| | - Paul A Cloos
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, DK-2200 Copenhagen N, Denmark.,The Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Kristian Helin
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, DK-2200 Copenhagen N, Denmark.,The Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, DK-2200 Copenhagen N, Denmark.,Cell Biology Program and Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center (MSKCC), New York, New York 10065, USA
| | - Jesper Christensen
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, DK-2200 Copenhagen N, Denmark.,The Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, DK-2200 Copenhagen N, Denmark
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26
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Jo K, Santos-Buitrago B, Kim M, Rhee S, Talcott C, Kim S. Logic-based analysis of gene expression data predicts association between TNF, TGFB1 and EGF pathways in basal-like breast cancer. Methods 2020; 179:89-100. [PMID: 32445696 DOI: 10.1016/j.ymeth.2020.05.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 04/30/2020] [Accepted: 05/13/2020] [Indexed: 12/16/2022] Open
Abstract
For breast cancer, clinically important subtypes are well characterized at the molecular level in terms of gene expression profiles. In addition, signaling pathways in breast cancer have been extensively studied as therapeutic targets due to their roles in tumor growth and metastasis. However, it is challenging to put signaling pathways and gene expression profiles together to characterize biological mechanisms of breast cancer subtypes since many signaling events result from post-translational modifications, rather than gene expression differences. We designed a logic-based computational framework to explain the differences in gene expression profiles among breast cancer subtypes using Pathway Logic and transcriptional network information. Pathway Logic is a rewriting-logic-based formal system for modeling biological pathways including post-translational modifications. Our method demonstrated its utility by constructing subtype-specific path from key receptors (TNFR, TGFBR1 and EGFR) to key transcription factor (TF) regulators (RELA, ATF2, SMAD3 and ELK1) and identifying potential association between pathways via TFs in basal-specific paths, which could provide a novel insight on aggressive breast cancer subtypes. Codes and results are available at http://epigenomics.snu.ac.kr/PL/.
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Affiliation(s)
- Kyuri Jo
- Department of Computer Engineering, Chungbuk National University, Cheongju, Republic of Korea
| | - Beatriz Santos-Buitrago
- Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea
| | - Minsu Kim
- Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Sungmin Rhee
- Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea
| | | | - Sun Kim
- Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea; Institute of Engineering Research, Seoul National University, Seoul, Republic of Korea; Bioinformatics Institute, Seoul National University, Seoul, Republic of Korea.
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27
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Delás MJ, Briscoe J. Repressive interactions in gene regulatory networks: When you have no other choice. Curr Top Dev Biol 2020; 139:239-266. [PMID: 32450962 DOI: 10.1016/bs.ctdb.2020.03.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Tightly regulated gene expression programs, orchestrated by complex interactions between transcription factors, control cell type specification during development. Repressive interactions play a critical role in these networks, facilitating decision-making between two or more alternative cell fates. Here, we use the ventral neural tube as an example to illustrate how cross repressive interactions within a network drive pattern formation and specify cell types in response to a graded patterning signal. This and other systems serve to highlight how external signals are integrated through the cis regulatory elements controlling key genes and provide insight into the molecular underpinning of the process. Even the simplest networks can lead to counterintuitive results and we argue that a combination of experimental dissection and modeling approaches will be necessary to fully understand network behavior and the underlying design principles. Studying these gene regulatory networks as a whole ultimately allows us to extract fundamental properties applicable across systems that can expand our mechanistic understanding of how organisms develop.
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Affiliation(s)
| | - James Briscoe
- The Francis Crick Institute, London, United Kingdom.
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28
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Nakatake Y, Ko SB, Sharov AA, Wakabayashi S, Murakami M, Sakota M, Chikazawa N, Ookura C, Sato S, Ito N, Ishikawa-Hirayama M, Mak SS, Jakt LM, Ueno T, Hiratsuka K, Matsushita M, Goparaju SK, Akiyama T, Ishiguro KI, Oda M, Gouda N, Umezawa A, Akutsu H, Nishimura K, Matoba R, Ohara O, Ko MS. Generation and Profiling of 2,135 Human ESC Lines for the Systematic Analyses of Cell States Perturbed by Inducing Single Transcription Factors. Cell Rep 2020; 31:107655. [DOI: 10.1016/j.celrep.2020.107655] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 03/07/2020] [Accepted: 04/23/2020] [Indexed: 01/23/2023] Open
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29
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Fathi Maroufi N, Hasegawa K, Vahedian V, Nazari Soltan Ahmad S, Zarebkohan A, Miresmaeili Mazrakhondi SA, Hosseini V, Rahbarghazi R. A glimpse into molecular mechanisms of embryonic stem cells pluripotency: Current status and future perspective. J Cell Physiol 2020; 235:6377-6392. [DOI: 10.1002/jcp.29616] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 01/09/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Nazila Fathi Maroufi
- Stem Cell and Regenerative Medicine InstituteTabriz University of Medical Sciences Tabriz Iran
- Student Research CommitteeTabriz University of Medical Sciences Tabriz Iran
- Department of Biochemistry and Clinical Laboratories, Faculty of MedicineTabriz University of Medical Sciences Tabriz Iran
| | - Kouichi Hasegawa
- Institute for Integrated Cell‐Material Sciences, Institute for Advanced StudyKyoto University Kyoto Japan
| | - Vahid Vahedian
- Department of Medical Laboratory Sciences, Faculty of MedicineIslamic Azad University Sari Iran
- Clinical Laboratory Medicine DepartmentRofeydeh Hospital University of Social Welfare and Rehabilitation Science Tehran Iran
| | - Saeed Nazari Soltan Ahmad
- Department of Biochemistry and Clinical Laboratories, Faculty of MedicineTabriz University of Medical Sciences Tabriz Iran
| | - Amir Zarebkohan
- Department of Medical Nanotechnology, Faculty of Advanced Medical SciencesTabriz University of Medical Sciences Tabriz Iran
| | | | - Vahid Hosseini
- Department of Biochemistry and Clinical Laboratories, Faculty of MedicineTabriz University of Medical Sciences Tabriz Iran
- Tuberculosis and Lung Disease Research CenterTabriz University of Medical Sciences Tabriz Iran
| | - Reza Rahbarghazi
- Tuberculosis and Lung Disease Research CenterTabriz University of Medical Sciences Tabriz Iran
- Department of Applied Cell Sciences, Faculty of Advanced Medical SciencesTabriz University of Medical Sciences Tabriz Iran
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30
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Knauer S, Javelle M, Li L, Li X, Ma X, Wimalanathan K, Kumari S, Johnston R, Leiboff S, Meeley R, Schnable PS, Ware D, Lawrence-Dill C, Yu J, Muehlbauer GJ, Scanlon MJ, Timmermans MCP. A high-resolution gene expression atlas links dedicated meristem genes to key architectural traits. Genome Res 2019; 29:1962-1973. [PMID: 31744902 PMCID: PMC6886502 DOI: 10.1101/gr.250878.119] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 10/02/2019] [Indexed: 12/20/2022]
Abstract
The shoot apical meristem (SAM) orchestrates the balance between stem cell proliferation and organ initiation essential for postembryonic shoot growth. Meristems show a striking diversity in shape and size. How this morphological diversity relates to variation in plant architecture and the molecular circuitries driving it are unclear. By generating a high-resolution gene expression atlas of the vegetative maize shoot apex, we show here that distinct sets of genes govern the regulation and identity of stem cells in maize versus Arabidopsis. Cell identities in the maize SAM reflect the combinatorial activity of transcription factors (TFs) that drive the preferential, differential expression of individual members within gene families functioning in a plethora of cellular processes. Subfunctionalization thus emerges as a fundamental feature underlying cell identity. Moreover, we show that adult plant characters are, to a significant degree, regulated by gene circuitries acting in the SAM, with natural variation modulating agronomically important architectural traits enriched specifically near dynamically expressed SAM genes and the TFs that regulate them. Besides unique mechanisms of maize stem cell regulation, our atlas thus identifies key new targets for crop improvement.
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Affiliation(s)
- Steffen Knauer
- Center for Plant Molecular Biology, University of Tuebingen, 72076 Tuebingen, Germany.,Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
| | - Marie Javelle
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
| | - Lin Li
- Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota 55108, USA
| | - Xianran Li
- Department of Agronomy, Iowa State University, Ames, Iowa 50011, USA
| | - Xiaoli Ma
- Center for Plant Molecular Biology, University of Tuebingen, 72076 Tuebingen, Germany
| | - Kokulapalan Wimalanathan
- Interdepartmental Bioinformatics and Computational Biology Program, Iowa State University, Ames, Iowa 50011, USA
| | - Sunita Kumari
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
| | - Robyn Johnston
- Plant Biology Section, School of Intergrated Plant Science, Cornell University, Ithaca, New York 14853, USA
| | - Samuel Leiboff
- Plant Biology Section, School of Intergrated Plant Science, Cornell University, Ithaca, New York 14853, USA
| | - Robert Meeley
- DuPont Pioneer, Agricultural Biotechnology, Johnston, Iowa 50131, USA
| | | | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
| | - Carolyn Lawrence-Dill
- Department of Agronomy, Iowa State University, Ames, Iowa 50011, USA.,Interdepartmental Bioinformatics and Computational Biology Program, Iowa State University, Ames, Iowa 50011, USA
| | - Jianming Yu
- Department of Agronomy, Iowa State University, Ames, Iowa 50011, USA
| | - Gary J Muehlbauer
- Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota 55108, USA
| | - Michael J Scanlon
- Plant Biology Section, School of Intergrated Plant Science, Cornell University, Ithaca, New York 14853, USA
| | - Marja C P Timmermans
- Center for Plant Molecular Biology, University of Tuebingen, 72076 Tuebingen, Germany.,Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA
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31
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Denyer T, Ma X, Klesen S, Scacchi E, Nieselt K, Timmermans MCP. Spatiotemporal Developmental Trajectories in the Arabidopsis Root Revealed Using High-Throughput Single-Cell RNA Sequencing. Dev Cell 2019; 48:840-852.e5. [PMID: 30913408 DOI: 10.1016/j.devcel.2019.02.022] [Citation(s) in RCA: 248] [Impact Index Per Article: 49.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 01/30/2019] [Accepted: 02/22/2019] [Indexed: 12/11/2022]
Abstract
High-throughput single-cell RNA sequencing (scRNA-seq) is becoming a cornerstone of developmental research, providing unprecedented power in understanding dynamic processes. Here, we present a high-resolution scRNA-seq expression atlas of the Arabidopsis root composed of thousands of independently profiled cells. This atlas provides detailed spatiotemporal information, identifying defining expression features for all major cell types, including the scarce cells of the quiescent center. These reveal key developmental regulators and downstream genes that translate cell fate into distinctive cell shapes and functions. Developmental trajectories derived from pseudotime analysis depict a finely resolved cascade of cell progressions from the niche through differentiation that are supported by mirroring expression waves of highly interconnected transcription factors. This study demonstrates the power of applying scRNA-seq to plants and provides an unparalleled spatiotemporal perspective of root cell differentiation.
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Affiliation(s)
- Tom Denyer
- Center for Plant Molecular Biology, University of Tübingen, Auf der Morgenstelle 32, Tübingen 72076, Germany
| | - Xiaoli Ma
- Center for Plant Molecular Biology, University of Tübingen, Auf der Morgenstelle 32, Tübingen 72076, Germany
| | - Simon Klesen
- Center for Plant Molecular Biology, University of Tübingen, Auf der Morgenstelle 32, Tübingen 72076, Germany
| | - Emanuele Scacchi
- Center for Plant Molecular Biology, University of Tübingen, Auf der Morgenstelle 32, Tübingen 72076, Germany
| | - Kay Nieselt
- Center for Bioinformatics, University of Tübingen, Sand 14, Tübingen 72076, Germany
| | - Marja C P Timmermans
- Center for Plant Molecular Biology, University of Tübingen, Auf der Morgenstelle 32, Tübingen 72076, Germany.
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Chen L, Toke NH, Luo S, Vasoya RP, Aita R, Parthasarathy A, Tsai YH, Spence JR, Verzi MP. HNF4 factors control chromatin accessibility and are redundantly required for maturation of the fetal intestine. Development 2019; 146:dev.179432. [PMID: 31345929 DOI: 10.1242/dev.179432] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Accepted: 07/10/2019] [Indexed: 12/17/2022]
Abstract
As embryos mature, cells undergo remarkable transitions that are accompanied by shifts in transcription factor regulatory networks. Mechanisms driving developmental transitions are incompletely understood. The embryonic intestine transitions from a rapidly proliferating tube with pseudostratified epithelium prior to murine embryonic day (E) 14.5 to an exquisitely folded columnar epithelium in fetal stages. We sought to identify factors driving mouse fetal intestinal maturation by mining chromatin accessibility data for transcription factor motifs. ATAC-seq accessible regions shift during tissue maturation, with CDX2 transcription factor motifs abundant at chromatin-accessible regions of the embryo. Hepatocyte nuclear factor 4 (HNF4) transcription factor motifs are the most abundant in the fetal stages (>E16.5). Genetic inactivation of Hnf4a and its paralog Hnf4g revealed that HNF4 factors are redundantly required for fetal maturation. CDX2 binds to and activates Hnf4 gene loci to elevate HNF4 expression at fetal stages. HNF4 and CDX2 transcription factors then occupy shared genomic regulatory sites to promote chromatin accessibility and gene expression in the maturing intestine. Thus, HNF4 paralogs are key components of an intestinal transcription factor network shift during the embryonic to fetal transition.
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Affiliation(s)
- Lei Chen
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA.,Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
| | - Natalie H Toke
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA
| | - Shirley Luo
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA
| | - Roshan P Vasoya
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA
| | - Rohit Aita
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA
| | - Aditya Parthasarathy
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA
| | - Yu-Hwai Tsai
- Department of Internal Medicine, Gastroenterology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Jason R Spence
- Department of Internal Medicine, Gastroenterology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.,Department of Cell and Developmental Biology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.,Department of Biomedical Engineering, University of Michigan College of Engineering, Ann Arbor, MI, USA.,Center for Organogenesis, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Michael P Verzi
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ 08854, USA .,Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08903, USA
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Abstract
Single cell biology is currently revolutionizing developmental and evolutionary biology, revealing new cell types and states in an impressive range of biological systems. With the accumulation of data, however, the field is grappling with a central unanswered question: what exactly is a cell type? This question is further complicated by the inherently dynamic nature of developmental processes. In this Hypothesis article, we propose that a 'periodic table of cell types' can be used as a framework for distinguishing cell types from cell states, in which the periods and groups correspond to developmental trajectories and stages along differentiation, respectively. The different states of the same cell type are further analogous to 'isotopes'. We also highlight how the concept of a periodic table of cell types could be useful for predicting new cell types and states, and for recognizing relationships between cell types throughout development and evolution.
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Affiliation(s)
- Bo Xia
- Institute for Computational Medicine, NYU Langone Health, New York, NY 10016, USA
| | - Itai Yanai
- Institute for Computational Medicine, NYU Langone Health, New York, NY 10016, USA
- Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
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Hashimoto M, Sasaki H. Epiblast Formation by TEAD-YAP-Dependent Expression of Pluripotency Factors and Competitive Elimination of Unspecified Cells. Dev Cell 2019; 50:139-154.e5. [PMID: 31204175 DOI: 10.1016/j.devcel.2019.05.024] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 03/29/2019] [Accepted: 05/10/2019] [Indexed: 01/15/2023]
Abstract
The epiblast is a pluripotent cell population first formed in preimplantation embryos, and its quality is important for proper development. Here, we examined the mechanisms of epiblast formation and found that the Hippo pathway transcription factor TEAD and its coactivator YAP regulate expression of pluripotency factors. After specification of the inner cell mass, YAP accumulates in the nuclei and activates TEAD. TEAD activity is required for strong expression of pluripotency factors and is variable in the forming epiblast. Cells showing low TEAD activity are eliminated from the epiblast through cell competition. Pluripotency factor expression and MYC control cell competition downstream of TEAD activity. Cell competition eliminates unspecified cells and is required for proper organization of the epiblast. These results suggest that induction of pluripotency factors by TEAD activity and elimination of unspecified cells via cell competition ensure the production of an epiblast with naive pluripotency.
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Affiliation(s)
- Masakazu Hashimoto
- Laboratory for Embryogenesis, Graduate School of Frontier Biosciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Hiroshi Sasaki
- Laboratory for Embryogenesis, Graduate School of Frontier Biosciences, Osaka University, Suita, Osaka 565-0871, Japan.
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Abstract
Cancer-initiating cells (CIC) are the driving force in tumor progression. There is strong evidence that CIC fulfill this task via exosomes (TEX), which modulate and reprogram stroma, nontransformed cells, and non-CIC. Characterization of CIC, besides others, builds on expression of CIC markers, many of which are known as metastasis-associated molecules. We here discuss that the linkage between CIC/CIC-TEX and metastasis-associated molecules is not fortuitously, but relies on the contribution of these markers to TEX biogenesis including loading and TEX target interactions. In addition, CIC markers contribute to TEX binding- and uptake-promoted activation of signaling cascades, transcription initiation, and translational control. Our point of view will be outlined for pancreas and colon CIC highly expressing CD44v6, Tspan8, EPCAM, claudin7, and LGR5, which distinctly but coordinately contribute to tumor progression. Despite overwhelming progress in unraveling the metastatic cascade and the multiple tasks taken over by CIC-TEX, there remains a considerable gap in linking CIC biomarkers, TEX, and TEX-initiated target modulation with metastasis. We will try to outline possible bridges, which could allow depicting pathways for new and expectedly powerful therapeutic interference with tumor progression.
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Affiliation(s)
- Zhe Wang
- Department of Oncology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
| | - Margot Zöller
- Department of Oncology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
- Pancreas Section, University Hospital of Surgery, Heidelberg, Germany.
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Zhu J, Wang Y, Yu W, Xia K, Huang Y, Wang J, Liu B, Tao H, Liang C, Li F. Long Noncoding RNA: Function and Mechanism on Differentiation of Mesenchymal Stem Cells and Embryonic Stem Cells. Curr Stem Cell Res Ther 2019; 14:259-267. [PMID: 30479219 DOI: 10.2174/1574888x14666181127145809] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 10/20/2018] [Accepted: 11/22/2018] [Indexed: 12/30/2022]
Abstract
Background:Long suspected as transcriptional noise, recently recognized, long non-coding
RNAs (lncRNAs) are emerging as an indicator, biomarker and therapy target in the physiologic and
pathologic process. Mesenchymal stem cells and embryonic stem cells are important source for normal
and therapeutic tissue repair. However, the mechanism of stem cell differentiation is not completely
understood. Research on lncRNAs may provide novel insights into the mechanism of differentiation
process of the stem cell which is important for the application of stem cell therapy. The lncRNAs field
is still very young, new insights into lncRNAs function are emerging to a greater understanding of biological
processes.
Objective:
In this review, we summarize the recent researches studying lncRNAs and illustrate how
they act in the differentiation of the mesenchymal stem cells and embryonic stem cells, and discuss
some future directions in this field.
Results:
Numerous lncRNAs were differentially expressed during differentiation of mesenchymal stem
cells and embryonic stem cells. LncRNAs were able to regulate the differentiation processes through
epigenetic regulation, transcription regulation and post-transcription regulation.
Conclusion:
LncRNAs are involved in the differentiation process of mesenchymal stem cells and embryonic
stem cells, and they could become promising indicator, biomarker and therapeutic targets in the
physiologic and pathologic process. However, the mechanisms of the role of lncRNAs still require further
investigation.
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Affiliation(s)
- Jian Zhu
- Department of Orthopedics, The Second Affiliated Hospital, Zhejiang University School of Medicine, #88 Jie Fang Road, Hangzhou, 310009, Zhejiang, China
| | - Yitian Wang
- Department of Orthopedics, The Second Affiliated Hospital, Zhejiang University School of Medicine, #88 Jie Fang Road, Hangzhou, 310009, Zhejiang, China
| | - Wei Yu
- Department of Orthopedics, The Second Affiliated Hospital, Zhejiang University School of Medicine, #88 Jie Fang Road, Hangzhou, 310009, Zhejiang, China
| | - Kaishun Xia
- Department of Orthopedics, The Second Affiliated Hospital, Zhejiang University School of Medicine, #88 Jie Fang Road, Hangzhou, 310009, Zhejiang, China
| | - Yuluan Huang
- Department of Gynecologic Oncology, Women`s Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Junjie Wang
- Department of Orthopedics, The Second Affiliated Hospital, Zhejiang University School of Medicine, #88 Jie Fang Road, Hangzhou, 310009, Zhejiang, China
| | - Bing Liu
- Department of Orthopedics, The Second Affiliated Hospital, Zhejiang University School of Medicine, #88 Jie Fang Road, Hangzhou, 310009, Zhejiang, China
| | - Huimin Tao
- Department of Orthopedics, The Second Affiliated Hospital, Zhejiang University School of Medicine, #88 Jie Fang Road, Hangzhou, 310009, Zhejiang, China
| | - Chengzhen Liang
- Department of Orthopedics, The Second Affiliated Hospital, Zhejiang University School of Medicine, #88 Jie Fang Road, Hangzhou, 310009, Zhejiang, China
| | - Fangcai Li
- Department of Orthopedics, The Second Affiliated Hospital, Zhejiang University School of Medicine, #88 Jie Fang Road, Hangzhou, 310009, Zhejiang, China
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Chromatin Bottlenecks in Cancer. Trends Cancer 2019; 5:183-194. [DOI: 10.1016/j.trecan.2019.01.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 01/25/2019] [Accepted: 01/28/2019] [Indexed: 02/01/2023]
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Kingsbury TJ, Kim M, Civin CI. Regulation of cancer stem cell properties by SIX1, a member of the PAX-SIX-EYA-DACH network. Adv Cancer Res 2019; 141:1-42. [PMID: 30691681 DOI: 10.1016/bs.acr.2018.12.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The PAX-SIX-EYA-DACH network (PSEDN) is a central developmental transcriptional regulatory network from Drosophila to humans. The PSEDN is comprised of four conserved protein families; including paired box (PAX), sine oculis (SIX), eyes absent (EYA), and dachshund (DACH). Aberrant expression of PSEDN members, particularly SIX1, has been observed in multiple human cancers, where SIX1 expression correlates with increased aggressiveness and poor prognosis. In conjunction with its transcriptional activator EYA, the SIX1 transcription factor increases cancer stem cell (CSC) numbers and induces epithelial-mesenchymal transition (EMT). SIX1 promotes multiple hallmarks and enabling characteristics of cancer via regulation of cell proliferation, senescence, apoptosis, genome stability, and energy metabolism. SIX1 also influences the tumor microenvironment, enhancing recruitment of tumor-associated macrophages and stimulating angiogenesis, to promote tumor development and progression. EYA proteins are multifunctional, possessing a transcriptional activation domain and tyrosine phosphatase activity, that each contributes to cancer stem cell properties. DACH proteins function as tumor suppressors in solid cancers, opposing the actions of SIX-EYA and reducing CSC prevalence. Multiple mechanisms can lead to increased SIX1 expression, including loss of SIX1-targeting tumor suppressor microRNAs (miRs), whose expression correlates inversely with SIX1 expression in cancer patient samples. In this review, we discuss the major mechanisms by which SIX1 confers CSC and EMT features and other important cancer cell characteristics. The roles of EYA and DACH in CSCs and cancer progression are briefly highlighted. Finally, we summarize the clinical significance of SIX1 in cancer to emphasize the potential therapeutic benefits of effective strategies to disrupt PSEDN protein interactions and functions.
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Fu Q, Liu CJ, Zhang X, Zhai ZS, Wang YZ, Hu MX, Xu XL, Zhang HW, Qin T. Glucocorticoid receptor regulates expression of microRNA-22 and downstream signaling pathway in apoptosis of pancreatic acinar cells. World J Gastroenterol 2018; 24:5120-5130. [PMID: 30568389 PMCID: PMC6288647 DOI: 10.3748/wjg.v24.i45.5120] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 11/12/2018] [Accepted: 11/13/2018] [Indexed: 02/06/2023] Open
Abstract
AIM To elucidate the underlying mechanism that microRNA-22 (miR-22) promotes the apoptosis of rat pancreatic acinar cells (AR42J) and the elements that regulate the expression of miR-22.
METHODS One hundred nanomoles per liter of caerulein (Cae) was administrated to induce the apoptosis of AR42J cells and the apoptosis rate was detected by flow cytometry analysis. An amylase assay kit was used to measure the amylase expression level in the supernatant. Quantitative real-time PCR (qRT-PCR) was adopted to measure miR-22 expression. We used online tools to predict the potential transcription promoter of miR-22 and the binding sites, which was further identified by using luciferase reporter analysis, chromatin immunoprecipitation (ChIP) and ChIP-qPCR assays. Then, a mimic of miR-22, Nr3c1 plasmid encoding the glucocorticoid receptor (GR), and si-Nr3c1 were used to transfect AR42J cells, respectively. The mRNA expression of miR-22, Nr3c1, and Erb-b2 receptor tyrosine kinase 3 (ErbB3) was confirmed by qRT-PCR and the apoptosis rate of AR42J cells was detected by flow cytometry analysis. Western blot was used to detect the expression of ErbB3, GR, PI3k, PI3k-p85α, Akt, p-Akt, Bad, Bax, Bcl-xl, Bcl-2, and cleaved caspase3.
RESULTS After inducing apoptosis of AR42J cells in vitro, the expression of miR-22 was significantly increased by 2.20 ± 0.26 and 4.19 ± 0.54 times, respectively, at 3 h and 6 h in comparison with the control group. As revealed by qRT-PCR assay, the expression of miR-22 was 78.25 ± 6.61 times higher in the miR-22 mimic group relative to the miRNA control group, accompanied with an obviously increased acinar cell apoptosis rate (32.53 ± 1.15 vs 18.07 ± 0.89, P = 0.0006). The upregulation of miR-22 could suppress its target gene, ErbB3, and the phosphorylation of PI3k and Akt. Furthermore, we predicted the potential transcription promoter of miR-22 and the binding sites using online tools. Luciferase reporter analysis and site-directed mutagenesis indicated that the binding site (GACAGCCATGTACA) of the GR, which is encoded by the Nr3c1 gene. Downregulation of the expression of GR could upregulate the expression of miR-22, which further promoted the apoptosis of AR42J cells.
CONCLUSION GR transcriptionally represses the expression of miR-22, which further promotes the apoptosis of pancreatic acinar cells by downregulating the downstream signaling pathway.
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Affiliation(s)
- Qiang Fu
- Department of Hepatobiliary and Pancreatic Surgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), School of Medicine, Zhengzhou University, Zhengzhou 450003, Henan Province, China
| | - Chuan-Jiang Liu
- Department of Hepatobiliary and Pancreatic Surgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), School of Medicine, Zhengzhou University, Zhengzhou 450003, Henan Province, China
| | - Xu Zhang
- Department of Hepatobiliary and Pancreatic Surgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), School of Medicine, Zhengzhou University, Zhengzhou 450003, Henan Province, China
| | - Zhen-Sheng Zhai
- Department of Hepatobiliary and Pancreatic Surgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), School of Medicine, Zhengzhou University, Zhengzhou 450003, Henan Province, China
| | - Yu-Zhu Wang
- Department of Hepatobiliary and Pancreatic Surgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), School of Medicine, Zhengzhou University, Zhengzhou 450003, Henan Province, China
| | - Ming-Xing Hu
- Department of Hepatobiliary and Pancreatic Surgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), School of Medicine, Zhengzhou University, Zhengzhou 450003, Henan Province, China
| | - Xian-Ling Xu
- Department of Hepatobiliary and Pancreatic Surgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), School of Medicine, Zhengzhou University, Zhengzhou 450003, Henan Province, China
| | - Hong-Wei Zhang
- Department of Hepatobiliary and Pancreatic Surgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), School of Medicine, Zhengzhou University, Zhengzhou 450003, Henan Province, China
| | - Tao Qin
- Department of Hepatobiliary and Pancreatic Surgery, People’s Hospital of Zhengzhou University (Henan Provincial People’s Hospital), School of Medicine, Zhengzhou University, Zhengzhou 450003, Henan Province, China
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Swindell WR, Bojanowski K, Kindy MS, Chau RMW, Ko D. GM604 regulates developmental neurogenesis pathways and the expression of genes associated with amyotrophic lateral sclerosis. Transl Neurodegener 2018; 7:30. [PMID: 30524706 PMCID: PMC6276193 DOI: 10.1186/s40035-018-0135-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 10/21/2018] [Indexed: 12/11/2022] Open
Abstract
Background Amyotrophic lateral sclerosis (ALS) is currently an incurable disease without highly effective pharmacological treatments. The peptide drug GM604 (GM6 or Alirinetide) was developed as a candidate ALS therapy, which has demonstrated safety and good drug-like properties with a favorable pharmacokinetic profile. GM6 is hypothesized to bolster neuron survival through the multi-target regulation of developmental pathways, but mechanisms of action are not fully understood. Methods This study used RNA-seq to evaluate transcriptome responses in SH-SY5Y neuroblastoma cells following GM6 treatment (6, 24 and 48 h). Results We identified 2867 protein-coding genes with expression significantly altered by GM6 (FDR < 0.10). Early (6 h) responses included up-regulation of Notch and hedgehog signaling components, with increased expression of developmental genes mediating neurogenesis and axon growth. Prolonged GM6 treatment (24 and 48 h) altered the expression of genes contributing to cell adhesion and the extracellular matrix. GM6 further down-regulated the expression of genes associated with mitochondria, inflammatory responses, mRNA processing and chromatin organization. GM6-increased genes were located near GC-rich motifs interacting with C2H2 zinc finger transcription factors, whereas GM6-decreased genes were located near AT-rich motifs associated with helix-turn-helix homeodomain factors. Such motifs interacted with a diverse network of transcription factors encoded by GM6-regulated genes (STAT3, HOXD11, HES7, GLI1). We identified 77 ALS-associated genes with expression significantly altered by GM6 treatment (FDR < 0.10), which were known to function in neurogenesis, axon guidance and the intrinsic apoptosis pathway. Conclusions Our findings support the hypothesis that GM6 acts through developmental-stage pathways to influence neuron survival. Gene expression responses were consistent with neurotrophic effects, ECM modulation, and activation of the Notch and hedgehog neurodevelopmental pathways. This multifaceted mechanism of action is unique among existing ALS drug candidates and may be applicable to multiple neurodegenerative diseases. Electronic supplementary material The online version of this article (10.1186/s40035-018-0135-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- William R Swindell
- 1Heritage College of Osteopathic Medicine, Ohio University, Athens, OH USA
| | | | - Mark S Kindy
- 3Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, Tampa, FL USA.,4James A. Haley VAMC, Tampa, FL USA
| | | | - Dorothy Ko
- Genervon Biopharmaceuticals LLC, Pasadena, CA USA
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41
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Cui G, Suo S, Wang R, Qian Y, Han JDJ, Peng G, Tam PPL, Jing N. Mouse gastrulation: Attributes of transcription factor regulatory network for epiblast patterning. Dev Growth Differ 2018; 60:463-472. [DOI: 10.1111/dgd.12568] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2018] [Revised: 08/23/2018] [Accepted: 08/23/2018] [Indexed: 01/13/2023]
Affiliation(s)
- Guizhong Cui
- State Key Laboratory of Cell Biology; CAS Center for Excellence in Molecular Cell Science; Shanghai Institute of Biochemistry and Cell Biology; Chinese Academy of Sciences; University of Chinese Academy of Sciences; Shanghai China
| | - Shengbao Suo
- Key Laboratory of Computational Biology; CAS Center for Excellence in Molecular Cell Science; Collaborative Innovation Center for Genetics and Developmental Biology; Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology; Shanghai Institutes for Biological Sciences; Chinese Academy of Sciences; Shanghai China
| | - Ran Wang
- State Key Laboratory of Cell Biology; CAS Center for Excellence in Molecular Cell Science; Shanghai Institute of Biochemistry and Cell Biology; Chinese Academy of Sciences; University of Chinese Academy of Sciences; Shanghai China
| | - Yun Qian
- State Key Laboratory of Cell Biology; CAS Center for Excellence in Molecular Cell Science; Shanghai Institute of Biochemistry and Cell Biology; Chinese Academy of Sciences; University of Chinese Academy of Sciences; Shanghai China
| | - Jing-Dong J. Han
- Key Laboratory of Computational Biology; CAS Center for Excellence in Molecular Cell Science; Collaborative Innovation Center for Genetics and Developmental Biology; Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology; Shanghai Institutes for Biological Sciences; Chinese Academy of Sciences; Shanghai China
| | - Guangdun Peng
- State Key Laboratory of Cell Biology; CAS Center for Excellence in Molecular Cell Science; Shanghai Institute of Biochemistry and Cell Biology; Chinese Academy of Sciences; University of Chinese Academy of Sciences; Shanghai China
| | - Patrick P. L. Tam
- Embryology Unit; Children's Medical Research Institute; University of Sydney; Sydney New South Wales Australia
- School of Medical Sciences; Faculty of Medicine and Health; University of Sydney; Sydney New South Wales Australia
| | - Naihe Jing
- State Key Laboratory of Cell Biology; CAS Center for Excellence in Molecular Cell Science; Shanghai Institute of Biochemistry and Cell Biology; Chinese Academy of Sciences; University of Chinese Academy of Sciences; Shanghai China
- School of Life Science and Technology; ShanghaiTech University; Shanghai China
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Abstract
Embryonic development and stem cell differentiation, during which coordinated cell fate specification takes place in a spatial and temporal context, serve as a paradigm for studying the orderly assembly of gene regulatory networks (GRNs) and the fundamental mechanism of GRNs in driving lineage determination. However, knowledge of reliable GRN annotation for dynamic development regulation, particularly for unveiling the complex temporal and spatial architecture of tissue stem cells, remains inadequate. With the advent of single-cell RNA sequencing technology, elucidating GRNs in development and stem cell processes poses both new challenges and unprecedented opportunities. This review takes a snapshot of some of this work and its implication in the regulative nature of early mammalian development and specification of the distinct cell types during embryogenesis.
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Affiliation(s)
- Guangdun Peng
- CAS Key Laboratory of Regenerative Biology and Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
- Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China
| | - Jing-Dong J. Han
- Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Collaborative Innovation Center for Genetics and Developmental Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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43
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Wu F, Liu Y, Wu Q, Li D, Zhang L, Wu X, Wang R, Zhang D, Gao S, Li W. Long non-coding RNAs potentially function synergistically in the cellular reprogramming of SCNT embryos. BMC Genomics 2018; 19:631. [PMID: 30139326 PMCID: PMC6107955 DOI: 10.1186/s12864-018-5021-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2018] [Accepted: 08/15/2018] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Long non-coding RNAs (lncRNAs), a type of epigenetic regulator, are thought to play important roles in embryonic development in mice, and several developmental defects are associated with epigenetic modification disorders. The most dramatic epigenetic reprogramming event occurs during somatic cell nuclear transfer (SCNT) when the expression profile of a differentiated cell is abolished, and a newly embryo-specific expression profile is established. However, the molecular mechanism underlying somatic reprogramming remains unclear, and the dynamics and functions of lncRNAs in this process have not yet been illustrated, resulting in inefficient reprogramming. RESULTS In this study, 63 single-cell RNA-seq libraries were first generated and sequenced. A total of 7009 mouse polyadenylation lncRNAs (including 5204 novel lncRNAs) were obtained, and a comprehensive analysis of in vivo and SCNT mouse pre-implantation embryo lncRNAs was further performed based on our single-cell RNA sequencing data. Expression profile analysis revealed that lncRNAs were expressed in a developmental stage-specific manner during mouse early-stage embryonic development, whereas a more temporal and spatially specific expression pattern was identified in mouse SCNT embryos with changes in the state of chromatin during somatic cell reprogramming, leading to incomplete zygotic genome activation, oocyte to embryo transition and 2-cell to 4-cell transition. No obvious differences between other stages and mouse NTC or NTM embryos at the same stage were observed. Gene oncology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and weighted gene co-expression network analysis (WGCNA) of lncRNAs and their association with known protein-coding genes suggested that several lncRNAs and their associated with known protein-coding genes might be involved in mouse embryonic development and cell reprogramming. CONCLUSIONS This is a novel report on the expression landscapes of lncRNAs of mouse NT embryos by scRNA-seq analysis. This study will provide insight into the molecular mechanism underlying the involvement of lncRNAs in mouse pre-implantation embryonic development and epigenetic reprogramming in mammalian species after SCNT-based cloning.
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Affiliation(s)
- Fengrui Wu
- Anhui Province Key Laboratory of Environmental Hormone and Reproduction, Anhui Province Key Laboratory of Embryo Development and Reproductive Regulation, Fuyang Normal University, Fuyang, China
| | - Yong Liu
- Anhui Province Key Laboratory of Environmental Hormone and Reproduction, Anhui Province Key Laboratory of Embryo Development and Reproductive Regulation, Fuyang Normal University, Fuyang, China
| | - Qingqing Wu
- Anhui Province Key Laboratory of Environmental Hormone and Reproduction, Anhui Province Key Laboratory of Embryo Development and Reproductive Regulation, Fuyang Normal University, Fuyang, China
| | - Dengkun Li
- Anhui Province Key Laboratory of Environmental Hormone and Reproduction, Anhui Province Key Laboratory of Embryo Development and Reproductive Regulation, Fuyang Normal University, Fuyang, China
| | - Ling Zhang
- Anhui Province Key Laboratory of Environmental Hormone and Reproduction, Anhui Province Key Laboratory of Embryo Development and Reproductive Regulation, Fuyang Normal University, Fuyang, China
| | - Xiaoqing Wu
- Anhui Province Key Laboratory of Environmental Hormone and Reproduction, Anhui Province Key Laboratory of Embryo Development and Reproductive Regulation, Fuyang Normal University, Fuyang, China
| | - Rong Wang
- Anhui Province Key Laboratory of Environmental Hormone and Reproduction, Anhui Province Key Laboratory of Embryo Development and Reproductive Regulation, Fuyang Normal University, Fuyang, China
| | - Di Zhang
- Anhui Province Key Laboratory of Environmental Hormone and Reproduction, Anhui Province Key Laboratory of Embryo Development and Reproductive Regulation, Fuyang Normal University, Fuyang, China
| | - Shaorong Gao
- School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Wenyong Li
- Anhui Province Key Laboratory of Environmental Hormone and Reproduction, Anhui Province Key Laboratory of Embryo Development and Reproductive Regulation, Fuyang Normal University, Fuyang, China
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Yamane M, Ohtsuka S, Matsuura K, Nakamura A, Niwa H. Overlapping functions of Krüppel-like factor family members: targeting multiple transcription factors to maintain the naïve pluripotency of mouse embryonic stem cells. Development 2018; 145:dev.162404. [PMID: 29739838 DOI: 10.1242/dev.162404] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Accepted: 04/30/2018] [Indexed: 01/02/2023]
Abstract
Krüppel-like factors (Klfs) have a pivotal role in maintaining self-renewal of mouse embryonic stem cells (mESCs). The functions of three Klf family members (Klf2, Klf4 and Klf5) have been identified, and are suggested to largely overlap. For further dissection of their functions, we applied an inducible knockout system for these Klf family members and assessed the effects of combinatorial loss of function. As a result, we confirmed that any one of Klf2, Klf4 and Klf5 was sufficient to support self-renewal, whereas the removal of all three compromised it. The activity of any single transcription factor, except for a Klf family member, was not sufficient to restore self-renewal of triple-knockout mESCs. However, some particular combinations of transcription factors were capable of the restoration. The triple-knockout mESCs were successfully captured at primed state. These data indicate that the pivotal function of a Klf family member is transduced into the activation of multiple transcription factors in a naïve-state-specific manner.
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Affiliation(s)
- Mariko Yamane
- Laboratory for Pluripotent Stem Cell Studies, RIKEN Center for Developmental Biology (CDB), 2-2-3 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan.,Department of Pluripotent Stem Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto 860-0811, Japan
| | - Satoshi Ohtsuka
- Laboratory for Pluripotent Stem Cell Studies, RIKEN Center for Developmental Biology (CDB), 2-2-3 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan.,Department of Life Science, Medical Research Institute, Kanazawa Medical University, 1-1 Daigaku, Uchinada kahoku, Ishikawa 920-0293, Japan
| | - Kumi Matsuura
- Laboratory for Pluripotent Stem Cell Studies, RIKEN Center for Developmental Biology (CDB), 2-2-3 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan.,Department of Pluripotent Stem Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto 860-0811, Japan
| | - Akira Nakamura
- Department of Germline Development, Institute of Molecular Embryology and Genetics, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto 860-0811, Japan
| | - Hitoshi Niwa
- Laboratory for Pluripotent Stem Cell Studies, RIKEN Center for Developmental Biology (CDB), 2-2-3 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan .,Department of Pluripotent Stem Cell Biology, Institute of Molecular Embryology and Genetics, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto 860-0811, Japan.,JST, CREST, Sanbancho, Chiyoda-ku, Tokyo 1020075, Japan
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Functional Role of Circular RNA in Regenerative Medicine. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1087:299-308. [PMID: 30259376 DOI: 10.1007/978-981-13-1426-1_24] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Every year, millions of people around the world suffer from different forms of tissue trauma. Regenerative medicine refers to therapy that replaces the injured organ or cells. Stem cells are the frontiers and hotspots of current regenerative medicine research. Circular RNAs (circRNAs) are essential for the early development of many species. It was found that they could guide stem cell differentiation through interacting with certain microRNAs (miRNAs). Based on this concept, it is meaningful to look into how circRNAs influence stem cells and its role in regenerative medicine. In this chapter we will discuss the functional roles of circRNAs in the prevention, repair, or progression of chronic diseases, through the communication between stem cells.
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