Epigenetics of Aging and Aging-Associated Diseases
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Innovation and Robustness in Complex Regulatory Gene Networks
Innovation and robustness in complex regulatory gene networks S. Ciliberti*, O. C. Martin*†, and A. Wagner‡§ *Unite´Mixte Recherche 8565, Laboratoire de Physique The´orique et Mode`les Statistiques, Universite´Paris-Sud and Centre National de la Recherche Scientifique, F-91405 Orsay, France; †Unite´Mixte de Recherche 820, Laboratoire de Ge´ne´ tique Ve´ge´ tale, L’Institut National de la Recherche Agronomique, Ferme du Moulon, F-91190 Gif-sur-Yvette, France; and ‡Department of Biochemistry, University of Zurich, Y27-J-54, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland Communicated by Giorgio Parisi, University of Rome, Rome, Italy, June 20, 2007 (received for review November 24, 2006) The history of life involves countless evolutionary innovations, a environmental variation. Mutational robustness means that a steady stream of ingenuity that has been flowing for more than 3 system produces little phenotypic variation when subjected to billion years. Very little is known about the principles of biological genotypic variation caused by mutations. At first sight, such organization that allow such innovation. Here, we examine these robustness might pose a problem for evolutionary innovation, principles for evolutionary innovation in gene expression patterns. because a robust system cannot produce much of the variation To this end, we study a model for the transcriptional regulation that can become the basis for evolutionary innovation. networks that are at the heart of embryonic development. A As we shall see, there is some truth to this appearance, but it genotype corresponds to a regulatory network of a given topol- is in other respects flawed. Robustness and the ability to innovate ogy, and a phenotype corresponds to a steady-state gene expres- cannot only coexist, but the first may be a precondition for the sion pattern. -
The Health and Life Expectancy of Older Blacks and Hispanics in the United States
Today’s Research on Aging P r o g r a m a n d P o l i c y i m P l i c a t i o n s Issue 28, June 2013 The Health and Life Expectancy of Older Blacks and Hispanics in the United States Despite advances in health care and increases in income over Yet while older blacks have lower life expectancies than the past 50 years, significant gaps in life expectancy and health older whites, Hispanics actually are expected to live longer— by race and ethnicity persist among older Americans. This again, both at birth and at older ages. At age 65, for newsletter highlights recent work by National Institute on example, Latino males can expect to live, on average, an Aging (NIA)-supported researchers and others who examined additional 18.8 years, while Latina women have a life life expectancy and health trends among older blacks and expectancy of an additional 22 years—almost two years Hispanics. By 2030, the U.S. elderly population is expected to more than 65-year-old white females. Similar differences become more racially and ethnically diverse than it is today can be found at age 75 for both men and women. (See (see Box 1, page 2). Understanding their differences in health Box 2, page 3, for a discussion of factors influencing life and addressing disparities are critically important to improving expectancy among Hispanics.) the nation’s overall health and well-being. Hispanics have longer life expectancies than Life Expectancy non-Hispanic whites or blacks. -
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B
Transformations of Lamarckism Vienna Series in Theoretical Biology Gerd B. M ü ller, G ü nter P. Wagner, and Werner Callebaut, editors The Evolution of Cognition , edited by Cecilia Heyes and Ludwig Huber, 2000 Origination of Organismal Form: Beyond the Gene in Development and Evolutionary Biology , edited by Gerd B. M ü ller and Stuart A. Newman, 2003 Environment, Development, and Evolution: Toward a Synthesis , edited by Brian K. Hall, Roy D. Pearson, and Gerd B. M ü ller, 2004 Evolution of Communication Systems: A Comparative Approach , edited by D. Kimbrough Oller and Ulrike Griebel, 2004 Modularity: Understanding the Development and Evolution of Natural Complex Systems , edited by Werner Callebaut and Diego Rasskin-Gutman, 2005 Compositional Evolution: The Impact of Sex, Symbiosis, and Modularity on the Gradualist Framework of Evolution , by Richard A. Watson, 2006 Biological Emergences: Evolution by Natural Experiment , by Robert G. B. Reid, 2007 Modeling Biology: Structure, Behaviors, Evolution , edited by Manfred D. Laubichler and Gerd B. M ü ller, 2007 Evolution of Communicative Flexibility: Complexity, Creativity, and Adaptability in Human and Animal Communication , edited by Kimbrough D. Oller and Ulrike Griebel, 2008 Functions in Biological and Artifi cial Worlds: Comparative Philosophical Perspectives , edited by Ulrich Krohs and Peter Kroes, 2009 Cognitive Biology: Evolutionary and Developmental Perspectives on Mind, Brain, and Behavior , edited by Luca Tommasi, Mary A. Peterson, and Lynn Nadel, 2009 Innovation in Cultural Systems: Contributions from Evolutionary Anthropology , edited by Michael J. O ’ Brien and Stephen J. Shennan, 2010 The Major Transitions in Evolution Revisited , edited by Brett Calcott and Kim Sterelny, 2011 Transformations of Lamarckism: From Subtle Fluids to Molecular Biology , edited by Snait B. -
Ecological Developmental Biology and Disease States CHAPTER 5 Teratogenesis: Environmental Assaults on Development 167
Integrating Epigenetics, Medicine, and Evolution Scott F. Gilbert David Epel Swarthmore College Hopkins Marine Station, Stanford University Sinauer Associates, Inc. • Publishers Sunderland, Massachusetts U.S.A. © Sinauer Associates, Inc. This material cannot be copied, reproduced, manufactured or disseminated in any form without express written permission from the publisher. Brief Contents PART 1 Environmental Signals and Normal Development CHAPTER 1 The Environment as a Normal Agent in Producing Phenotypes 3 CHAPTER 2 How Agents in the Environment Effect Molecular Changes in Development 37 CHAPTER 3 Developmental Symbiosis: Co-Development as a Strategy for Life 79 CHAPTER 4 Embryonic Defenses: Survival in a Hostile World 119 PART 2 Ecological Developmental Biology and Disease States CHAPTER 5 Teratogenesis: Environmental Assaults on Development 167 CHAPTER 6 Endocrine Disruptors 197 CHAPTER 7 The Epigenetic Origin of Adult Diseases 245 PART 3 Toward a Developmental Evolutionary Synthesis CHAPTER 8 The Modern Synthesis: Natural Selection of Allelic Variation 289 CHAPTER 9 Evolution through Developmental Regulatory Genes 323 CHAPTER 10 Environment, Development, and Evolution: Toward a New Synthesis 369 CODA Philosophical Concerns Raised by Ecological Developmental Biology 403 APPENDIX A Lysenko, Kammerer, and the Truncated Tradition of Ecological Developmental Biology 421 APPENDIX B The Molecular Mechanisms of Epigenetic Change 433 APPENDIX C Writing Development Out of the Modern Synthesis 441 APPENDIX D Epigenetic Inheritance Systems: -
Synergism Between Chromatin Dynamics and Gene Transcription
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.17.444405; this version posted May 17, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Synergism between Chromatin Dynamics and Gene Transcription 2 Enhances Robustness and Stability of Epigenetic Cell Memory 3 Zihao Wang1,2, Songhao Luo1,2, Meiling Chen1,2, Tianshou Zhou1,2,*, and Jiajun Zhang1,2,† 4 1 Key Laboratory of Computational Mathematics, Guangdong Province 5 2 School of Mathematics, Sun Yat-Sen University, Guangzhou, 510275, P. R. China 6 *[email protected], †[email protected] 7 8 Abstract 9 Apart from carrying hereditary information inherited from their ancestors and being able to pass on 10 the information to their descendants, cells can also inherit and transmit information that is not stored 11 as changes in their genome sequence. Such epigenetic cell memory, which is particularly important 12 in multicellular organisms, involves multiple biochemical modules mainly including chromatin 13 organization, epigenetic modification and gene transcription. The synergetic mechanism among 14 these three modules remains poorly understood and how they collaboratively affect the robustness 15 and stability of epigenetic memory is unclear either. Here we developed a multiscale model to 16 address these questions. We found that the chromatin organization driven by long-range epigenetic 17 modifications can significantly enhance epigenetic cell memory and its stability in contrast to that 18 driven by local interaction and that chromatin topology and gene activity can promptly and 19 simultaneously respond to changes in nucleosome modifications while maintaining the robustness 20 and stability of epigenetic cell memory over several cell cycles. -
Recurrent Herpes Simplex Virus Type 1 (HSV-1) Infection Modulates Neuronal Aging Marks in in Vitro and in Vivo Models
International Journal of Molecular Sciences Article Recurrent Herpes Simplex Virus Type 1 (HSV-1) Infection Modulates Neuronal Aging Marks in In Vitro and In Vivo Models Giorgia Napoletani 1 , Virginia Protto 1 , Maria Elena Marcocci 1 , Lucia Nencioni 1 , Anna Teresa Palamara 1,2,† and Giovanna De Chiara 3,*,† 1 Department of Public Health and Infectious Diseases, Sapienza University of Rome, Laboratory Affiliated to Istituto Pasteur Italia–Fondazione Cenci Bolognetti, 00185 Rome, Italy; [email protected] (G.N.); [email protected] (V.P.); [email protected] (M.E.M.); [email protected] (L.N.); [email protected] (A.T.P.) 2 Department of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy 3 Institute of Translational Pharmacology, National Research Council (CNR), 00133 Rome, Italy * Correspondence: [email protected] † Co-last authors. Abstract: Herpes simplex virus 1 (HSV-1) is a widespread neurotropic virus establishing a life-long latent infection in neurons with periodic reactivations. Recent studies linked HSV-1 to neurodegen- erative processes related to age-related disorders such as Alzheimer’s disease. Here, we explored whether recurrent HSV-1 infection might accelerate aging in neurons, focusing on peculiar marks of aged cells, such as the increase in histone H4 lysine (K) 16 acetylation (ac) (H4K16ac); the decrease Citation: Napoletani, G.; Protto, V.; of H3K56ac, and the modified expression of Sin3/HDAC1 and HIRA proteins. By exploiting both Marcocci, M.E.; Nencioni, L.; in vitro and in vivo models of recurrent HSV-1 infection, we found a significant increase in H4K16ac, Palamara, A.T.; De Chiara, G. -
Epigenetic Clocks
Cognitive Vitality Reports® are reports written by neuroscientists at the Alzheimer’s Drug Discovery Foundation (ADDF). These scientific reports include analysis of drugs, drugs-in- development, drug targets, supplements, nutraceuticals, food/drink, non-pharmacologic interventions, and risk factors. Neuroscientists evaluate the potential benefit (or harm) for brain health, as well as for age-related health concerns that can affect brain health (e.g., cardiovascular diseases, cancers, diabetes/metabolic syndrome). In addition, these reports include evaluation of safety data, from clinical trials if available, and from preclinical models. Epigenetic Clocks Evidence Summary Horvath and Hannum epigenetic clocks are highly correlative of age and time to death in population studies; however, it is unclear how valuable these clocks will be as a measure in individuals. Neuroprotective Benefit: There is no evidence that blood epigenetic clocks correlate with Alzheimer’s disease. Aging and related health concerns: Evidence suggests that epigenetic clocks correlate with mortality and several disease states in population studies. Safety: N/A 1 What is it? DNA methylation (DNAm) is one of three primary epigenetic mechanisms that control gene expression (the other two being histone tail modifications and microRNA regulation of mRNA). A methyl group (CH3) is attached to a cytosine DNA base pair, usually located next to a guanine base pair (a CpG site), which modifies the packaging of the DNA and changes gene expression. Three DNA methyltransferases: DNMT1, DNMT3a and DNMT3b, primarily mediate DNAm. DNMT1 has a maintenance role – during DNA replication, it copies the methylation pattern of the original strand. DNMT3a and DNMT3b add methyl groups to new CpG sites (Sen et al, 2016). -
Early-Life Experience, Epigenetics, and the Developing Brain
Neuropsychopharmacology REVIEWS (2015) 40, 141–153 & 2015 American College of Neuropsychopharmacology. All rights reserved 0893-133X/15 REVIEW ............................................................................................................................................................... www.neuropsychopharmacologyreviews.org 141 Early-Life Experience, Epigenetics, and the Developing Brain 1 ,1 Marija Kundakovic and Frances A Champagne* 1Department of Psychology, Columbia University, New York, NY, USA Development is a dynamic process that involves interplay between genes and the environment. In mammals, the quality of the postnatal environment is shaped by parent–offspring interactions that promote growth and survival and can lead to divergent developmental trajectories with implications for later-life neurobiological and behavioral characteristics. Emerging evidence suggests that epigenetic factors (ie, DNA methylation, posttranslational histone modifications, and small non- coding RNAs) may have a critical role in these parental care effects. Although this evidence is drawn primarily from rodent studies, there is increasing support for these effects in humans. Through these molecular mechanisms, variation in risk of psychopathology may emerge, particularly as a consequence of early-life neglect and abuse. Here we will highlight evidence of dynamic epigenetic changes in the developing brain in response to variation in the quality of postnatal parent–offspring interactions. The recruitment of epigenetic pathways for the -
Hst3 Is Turned Over by a Replication Stress-Responsive SCF Phospho
Hst3 is turned over by a replication stress-responsive SCFCdc4 phospho-degron Ellen R. Edenberga, Ajay A. Vashishtb, Benjamin R. Topacioa, James A. Wohlschlegelb, and David P. Toczyskia,1 aDepartment of Biochemistry and Biophysics, University of California, San Francisco, CA 94158; and bDepartment of Biological Chemistry, University of California, Los Angeles, CA 90095 Edited* by Stephen J. Elledge, Harvard Medical School, Boston, MA, and approved March 10, 2014 (received for review August 13, 2013) Hst3 is the histone deacetylase that removes histone H3K56 several E3 ubiquitin ligases to identify the one responsible for acetylation. H3K56 acetylation is a cell-cycle– and damage-regu- targeting Hst3 for degradation and found that Hst3 is partially lated chromatin marker, and proper regulation of H3K56 acetyla- stabilized at the nonpermissive temperature of temperature- tion is important for replication, genomic stability, chromatin sensitive mutants in CDC53 (the cullin scaffold for all SCF assembly, and the response to and recovery from DNA damage. ligases) and CDC4 (encoding an essential F-box protein) (Fig. Understanding the regulation of enzymes that regulate H3K56 1A). Inactivation of SCFCdc4 also stabilized Hst3 after treatment acetylation is of great interest, because the loss of H3K56 acetyla- B HST3 with hydroxyurea (HU) to induce replication stress (Fig. 1 ). tion leads to genomic instability. is controlled at both the Cdc4 transcriptional and posttranscriptional level. Here, we show that SCF recognizes its substrates through a phospho-degron – Hst3 is targeted for turnover by the ubiquitin ligase SCFCdc4 (20 22). To understand how Hst3 was targeted for turnover both after phosphorylation of a multisite degron. -
From 1957 to Nowadays: a Brief History of Epigenetics
International Journal of Molecular Sciences Review From 1957 to Nowadays: A Brief History of Epigenetics Paul Peixoto 1,2, Pierre-François Cartron 3,4,5,6,7,8, Aurélien A. Serandour 3,4,6,7,8 and Eric Hervouet 1,2,9,* 1 Univ. Bourgogne Franche-Comté, INSERM, EFS BFC, UMR1098, Interactions Hôte-Greffon-Tumeur/Ingénierie Cellulaire et Génique, F-25000 Besançon, France; [email protected] 2 EPIGENEXP Platform, Univ. Bourgogne Franche-Comté, F-25000 Besançon, France 3 CRCINA, INSERM, Université de Nantes, 44000 Nantes, France; [email protected] (P.-F.C.); [email protected] (A.A.S.) 4 Equipe Apoptose et Progression Tumorale, LaBCT, Institut de Cancérologie de l’Ouest, 44805 Saint Herblain, France 5 Cancéropole Grand-Ouest, Réseau Niches et Epigénétique des Tumeurs (NET), 44000 Nantes, France 6 EpiSAVMEN Network (Région Pays de la Loire), 44000 Nantes, France 7 LabEX IGO, Université de Nantes, 44000 Nantes, France 8 Ecole Centrale Nantes, 44300 Nantes, France 9 DImaCell Platform, Univ. Bourgogne Franche-Comté, F-25000 Besançon, France * Correspondence: [email protected] Received: 9 September 2020; Accepted: 13 October 2020; Published: 14 October 2020 Abstract: Due to the spectacular number of studies focusing on epigenetics in the last few decades, and particularly for the last few years, the availability of a chronology of epigenetics appears essential. Indeed, our review places epigenetic events and the identification of the main epigenetic writers, readers and erasers on a historic scale. This review helps to understand the increasing knowledge in molecular and cellular biology, the development of new biochemical techniques and advances in epigenetics and, more importantly, the roles played by epigenetics in many physiological and pathological situations. -
Epigenetics Analysis and Integrated Analysis of Multiomics Data, Including Epigenetic Data, Using Artificial Intelligence in the Era of Precision Medicine
biomolecules Review Epigenetics Analysis and Integrated Analysis of Multiomics Data, Including Epigenetic Data, Using Artificial Intelligence in the Era of Precision Medicine Ryuji Hamamoto 1,2,*, Masaaki Komatsu 1,2, Ken Takasawa 1,2 , Ken Asada 1,2 and Syuzo Kaneko 1 1 Division of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan; [email protected] (M.K.); [email protected] (K.T.); [email protected] (K.A.); [email protected] (S.K.) 2 Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan * Correspondence: [email protected]; Tel.: +81-3-3547-5271 Received: 1 December 2019; Accepted: 27 December 2019; Published: 30 December 2019 Abstract: To clarify the mechanisms of diseases, such as cancer, studies analyzing genetic mutations have been actively conducted for a long time, and a large number of achievements have already been reported. Indeed, genomic medicine is considered the core discipline of precision medicine, and currently, the clinical application of cutting-edge genomic medicine aimed at improving the prevention, diagnosis and treatment of a wide range of diseases is promoted. However, although the Human Genome Project was completed in 2003 and large-scale genetic analyses have since been accomplished worldwide with the development of next-generation sequencing (NGS), explaining the mechanism of disease onset only using genetic variation has been recognized as difficult. Meanwhile, the importance of epigenetics, which describes inheritance by mechanisms other than the genomic DNA sequence, has recently attracted attention, and, in particular, many studies have reported the involvement of epigenetic deregulation in human cancer. -
Increased Epigenetic Age in Normal Breast Tissue from Luminal Breast Cancer Patients Erin W
Hofstatter et al. Clinical Epigenetics (2018) 10:112 https://doi.org/10.1186/s13148-018-0534-8 RESEARCH Open Access Increased epigenetic age in normal breast tissue from luminal breast cancer patients Erin W. Hofstatter1*† , Steve Horvath2,3†, Disha Dalela4, Piyush Gupta5, Anees B. Chagpar6, Vikram B. Wali1, Veerle Bossuyt7, Anna Maria Storniolo8, Christos Hatzis1, Gauri Patwardhan1, Marie-Kristin Von Wahlde1,9, Meghan Butler4, Lianne Epstein1, Karen Stavris4, Tracy Sturrock4, Alexander Au4,10, Stephanie Kwei4 and Lajos Pusztai1 Abstract Background: Age is one of the most important risk factors for developing breast cancer. However, age-related changes in normal breast tissue that potentially lead to breast cancer are incompletely understood. Quantifying tissue-level DNA methylation can contribute to understanding these processes. We hypothesized that occurrence of breast cancer should be associated with an acceleration of epigenetic aging in normal breast tissue. Results: Ninety-six normal breast tissue samples were obtained from 88 subjects (breast cancer = 35 subjects/40 samples, unaffected = 53 subjects/53 samples). Normal tissue samples from breast cancer patients were obtained from distant non-tumor sites of primary mastectomy specimens, while samples from unaffected women were obtained from the Komen Tissue Bank (n = 25) and from non-cancer-related breast surgery specimens (n = 28). Patients were further stratified into four cohorts: age < 50 years with and without breast cancer and age ≥ 50 with and without breast cancer. The Illumina HumanMethylation450k BeadChip microarray was used to generate methylation profiles from extracted DNA samples. Data was analyzed using the “Epigenetic Clock,” a published biomarker of aging based on a defined set of 353 CpGs in the human genome.