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      Manifold epigenetics: A conceptual model that guides engineering strategies to improve whole-body regenerative health

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          Abstract

          Despite the promising advances in regenerative medicine, there is a critical need for improved therapies. For example, delaying aging and improving healthspan is an imminent societal challenge. Our ability to identify biological cues as well as communications between cells and organs are keys to enhance regenerative health and improve patient care. Epigenetics represents one of the major biological mechanisms involving in tissue regeneration, and therefore can be viewed as a systemic (body-wide) control. However, how epigenetic regulations concertedly lead to the development of biological memories at the whole-body level remains unclear. Here, we review the evolving definitions of epigenetics and identify missing links. We then propose our Manifold Epigenetic Model (MEMo) as a conceptual framework to explain how epigenetic memory arises and discuss what strategies can be applied to manipulate the body-wide memory. In summary we provide a conceptual roadmap for the development of new engineering approaches to improve regenerative health.

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          Most cited references101

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          The Hallmarks of Aging

          Aging is characterized by a progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death. This deterioration is the primary risk factor for major human pathologies, including cancer, diabetes, cardiovascular disorders, and neurodegenerative diseases. Aging research has experienced an unprecedented advance over recent years, particularly with the discovery that the rate of aging is controlled, at least to some extent, by genetic pathways and biochemical processes conserved in evolution. This Review enumerates nine tentative hallmarks that represent common denominators of aging in different organisms, with special emphasis on mammalian aging. These hallmarks are: genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, deregulated nutrient sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, and altered intercellular communication. A major challenge is to dissect the interconnectedness between the candidate hallmarks and their relative contributions to aging, with the final goal of identifying pharmaceutical targets to improve human health during aging, with minimal side effects. Copyright © 2013 Elsevier Inc. All rights reserved.
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            Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors.

            Differentiated cells can be reprogrammed to an embryonic-like state by transfer of nuclear contents into oocytes or by fusion with embryonic stem (ES) cells. Little is known about factors that induce this reprogramming. Here, we demonstrate induction of pluripotent stem cells from mouse embryonic or adult fibroblasts by introducing four factors, Oct3/4, Sox2, c-Myc, and Klf4, under ES cell culture conditions. Unexpectedly, Nanog was dispensable. These cells, which we designated iPS (induced pluripotent stem) cells, exhibit the morphology and growth properties of ES cells and express ES cell marker genes. Subcutaneous transplantation of iPS cells into nude mice resulted in tumors containing a variety of tissues from all three germ layers. Following injection into blastocysts, iPS cells contributed to mouse embryonic development. These data demonstrate that pluripotent stem cells can be directly generated from fibroblast cultures by the addition of only a few defined factors.
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              CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes

              Cell-cell communication mediated by ligand-receptor complexes is critical to coordinating diverse biological processes, such as development, differentiation and inflammation. To investigate how the context-dependent crosstalk of different cell types enables physiological processes to proceed, we developed CellPhoneDB, a novel repository of ligands, receptors and their interactions. In contrast to other repositories, our database takes into account the subunit architecture of both ligands and receptors, representing heteromeric complexes accurately. We integrated our resource with a statistical framework that predicts enriched cellular interactions between two cell types from single-cell transcriptomics data. Here, we outline the structure and content of our repository, provide procedures for inferring cell-cell communication networks from single-cell RNA sequencing data and present a practical step-by-step guide to help implement the protocol. CellPhoneDB v.2.0 is an updated version of our resource that incorporates additional functionalities to enable users to introduce new interacting molecules and reduces the time and resources needed to interrogate large datasets. CellPhoneDB v.2.0 is publicly available, both as code and as a user-friendly web interface; it can be used by both experts and researchers with little experience in computational genomics. In our protocol, we demonstrate how to evaluate meaningful biological interactions with CellPhoneDB v.2.0 using published datasets. This protocol typically takes ~2 h to complete, from installation to statistical analysis and visualization, for a dataset of ~10 GB, 10,000 cells and 19 cell types, and using five threads.
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                Author and article information

                Contributors
                Journal
                Front Cell Dev Biol
                Front Cell Dev Biol
                Front. Cell Dev. Biol.
                Frontiers in Cell and Developmental Biology
                Frontiers Media S.A.
                2296-634X
                14 February 2023
                2023
                : 11
                : 1122422
                Affiliations
                [1] 1 Department of Molecular Pharmacology and Experimental Therapeutics , Mayo Clinic , Rochester, MN, United States
                [2] 2 Department of Immunology , Mayo Clinic , Rochester, MN, United States
                [3] 3 Department of Biochemistry and Molecular Biology , Mayo Clinic , Rochester, MN, United States
                Author notes

                Edited by: Qiang Wu, Macau University of Science and Technology, Macao, SAR China

                Reviewed by: Xiaojun Tian, Arizona State University, United States

                Min Huang, Chinese Academy of Sciences (CAS), China

                *Correspondence: Shizhen Zhu, zhu.shizhen@ 123456mayo.edu ; Hu Li, li.hu@ 123456mayo.edu
                [ † ]

                These authors have contributed equally to this work

                This article was submitted to Stem Cell Research, a section of the journal Frontiers in Cell and Developmental Biology

                Article
                1122422
                10.3389/fcell.2023.1122422
                9971008
                36866271
                ef356a63-43c0-4731-9bb2-2f1494d163f8
                Copyright © 2023 Ung, Correia, Billadeau, Zhu and Li.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 December 2022
                : 30 January 2023
                Funding
                This work was supported by a grant P30CA015083 from the Mayo Clinic Cancer Center, Mayo Center for Biomedical Discovery and Center for Individualized Medicine (HL and SZ); grants support from the Glenn Foundation for Medical Research, and the David F. and Margaret T. Grohne Cancer Immunology and Immunotherapy Program (HL) and Mayo Clinic Department of Artificial Intelligence and informatics Eric and Wendy Schmidt funding (HL), and grants R01AG056318, P50CA136393, R03OD34496-1 (HL) from NIH, a R01 grant CA240323 (SZ) from the National Cancer Institute; a grant W81XWH-17-1-0498 (SZ) from the United States Department of Defense (DoD); a V Scholar award.
                Categories
                Cell and Developmental Biology
                Perspective

                regenerative health,aging,manifold epigenetics,epigenetics memory,body-wide phenotypes,epigenetics

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