Intercellular Competition and the Inevitability of Multicellular Aging
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The Evolution of Cooperation a White Paper Prepared for the John Templeton Foundation
The evolution of cooperation A white paper prepared for the John Templeton foundation Contents Introduction - Darwin’s theory of design - The puzzle of cooperation - This review Cooperation across the tree of life - What is cooperation? - Explanations for Cooperation - The success of inclusive fitness - The debate over inclusive fitness - Alternative ways to measure cooperation - Cooperation between species - The social amoeba: the perfect test case for cooperation Cooperation in Humans - What’s special about humans? - Explanations for cooperation in humans - Cooperative games - Inter-personal and cross-cultural differences in cooperation - Psychological systems designed for cooperation - The origins of cooperation in humans - The How: The mechanism of cooperation Conclusion - The puzzle of cooperation revisited - Open questions in cooperation research 1 Introduction You probably take cooperation for granted. You’d be excused for doing so – cooperation is all around us. Children team up to complete a project on time. Neighbours help each other mend fences. Colleagues share ideas and resources. The very fabric of our society is cooperative. We divide up tasks, with farmers producing food, policemen upholding laws, teachers teaching, so that we may all share the benefits of a functioning society without any one person having to master all domains. What’s more, cooperation is logical, at least to you and me. Two hands are better than one, as the saying goes. If you want something another person has, it makes sense that you might share something of your own. Division of labour efficient. If you have a reputation as a cooperative person, others will likely help you down the line. Cooperation is a straightforward way to achieve more than you ever could on your own. -
Markers of T Cell Senescence in Humans
International Journal of Molecular Sciences Review Markers of T Cell Senescence in Humans Weili Xu 1,2 and Anis Larbi 1,2,3,4,5,* 1 Biology of Aging Program and Immunomonitoring Platform, Singapore Immunology Network (SIgN), Agency for Science Technology and Research (A*STAR), Immunos Building, Biopolis, Singapore 138648, Singapore; [email protected] 2 School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore 3 Department of Microbiology, National University of Singapore, Singapore 117597, Singapore 4 Department of Geriatrics, Faculty of Medicine, University of Sherbrooke, Sherbrooke, QC J1K 2R1, Canada 5 Faculty of Sciences, University ElManar, Tunis 1068, Tunisia * Correspondence: [email protected]; Tel.: +65-6407-0412 Received: 31 May 2017; Accepted: 26 July 2017; Published: 10 August 2017 Abstract: Many countries are facing the aging of their population, and many more will face a similar obstacle in the near future, which could be a burden to many healthcare systems. Increased susceptibility to infections, cardiovascular and neurodegenerative disease, cancer as well as reduced efficacy of vaccination are important matters for researchers in the field of aging. As older adults show higher prevalence for a variety of diseases, this also implies higher risk of complications, including nosocomial infections, slower recovery and sequels that may reduce the autonomy and overall quality of life of older adults. The age-related effects on the immune system termed as “immunosenescence” can be exemplified by the reported hypo-responsiveness to influenza vaccination of the elderly. T cells, which belong to the adaptive arm of the immune system, have been extensively studied and the knowledge gathered enables a better understanding of how the immune system may be affected after acute/chronic infections and how this matters in the long run. -
Genomic Profiling Reveals High Frequency of DNA Repair Genetic
www.nature.com/scientificreports OPEN Genomic profling reveals high frequency of DNA repair genetic aberrations in gallbladder cancer Reham Abdel‑Wahab1,9, Timothy A. Yap2, Russell Madison4, Shubham Pant1,2, Matthew Cooke4, Kai Wang4,5,7, Haitao Zhao8, Tanios Bekaii‑Saab6, Elif Karatas1, Lawrence N. Kwong3, Funda Meric‑Bernstam2, Mitesh Borad6 & Milind Javle1,10* DNA repair gene aberrations (GAs) occur in several cancers, may be prognostic and are actionable. We investigated the frequency of DNA repair GAs in gallbladder cancer (GBC), association with tumor mutational burden (TMB), microsatellite instability (MSI), programmed cell death protein 1 (PD‑1), and its ligand (PD‑L1) expression. Comprehensive genomic profling (CGP) of 760 GBC was performed. We investigated GAs in 19 DNA repair genes including direct DNA repair genes (ATM, ATR , BRCA1, BRCA2, FANCA, FANCD2, MLH1, MSH2, MSH6, PALB2, POLD1, POLE, PRKDC, and RAD50) and caretaker genes (BAP1, CDK12, MLL3, TP53, and BLM) and classifed patients into 3 groups based on TMB level: low (< 5.5 mutations/Mb), intermediate (5.5–19.5 mutations/Mb), and high (≥ 19.5 mutations/Mb). We assessed MSI status and PD‑1 & PD‑L1 expression. 658 (86.6%) had at least 1 actionable GA. Direct DNA repair gene GAs were identifed in 109 patients (14.2%), while 476 (62.6%) had GAs in caretaker genes. Both direct and caretaker DNA repair GAs were signifcantly associated with high TMB (P = 0.0005 and 0.0001, respectively). Tumor PD‑L1 expression was positive in 119 (15.6%), with 17 (2.2%) being moderate or high. DNA repair GAs are relatively frequent in GBC and associated with coexisting actionable mutations and a high TMB. -
How the Evolution of Multicellularity Set the Stage for Cancer’
www.nature.com/bjc CORRESPONDENCE Comment on ‘How the evolution of multicellularity set the stage for cancer’ British Journal of Cancer (2018) 119:133–134; https://doi.org/ multicellular and multicellular evolutionary origins rather than 10.1038/s41416-018-0091-0 pure unicellular evolutionary origin. Ceaseless proliferation is the most characteristic feature of cancer. But, this behaviour is rarely adopted by unicellular organisms in nature. In addition to cell communication, cell-to- We read the paper “How the evolution of multicellularity set the substrate and cell-to-cell adhesions, earlier unicellular organisms stage for cancer” with interest, which was published in a recent (prokaryotes and protists) acquired a variety of anti-proliferative issue of the British Journal of Cancer.1 In this paper, the authors capabilities (cell cycle negative regulation, programmed cell underlined that disruption of gene regulatory networks, which death, contact-dependent inhibition, toxin-antitoxin, etc.) through maintain the multicellular state, induces cancer. The atavistic the pseudo-multicellular mode of life and responses to selective model of cancer is undoubtedly effective in integrating many pressure.6,7 Indeed, exponential growth may lead to species parameters in a performing heuristic framework. It hypothesises extinction due to starvation or destruction of the protective that cancer results from a transition from multicellularity to biofilm. Earlier prokaryotes inevitably faced this problem and unicellularity, through an active constrained process. In this natural evolution proposed different solutions to circumvent schema, dysregulation of a set of fundamental points of them, which were thereafter fixed by heredity. vulnerability, which govern multicellularity maintenance, is Trigos et al.1 underlined that many hallmarks of the malignant sufficient to model carcinogenesis. -
Ageing Research Reviews Revamping the Evolutionary
Ageing Research Reviews 55 (2019) 100947 Contents lists available at ScienceDirect Ageing Research Reviews journal homepage: www.elsevier.com/locate/arr Review Revamping the evolutionary theories of aging T ⁎ Adiv A. Johnsona, , Maxim N. Shokhirevb, Boris Shoshitaishvilic a Nikon Instruments, Melville, NY, United States b Razavi Newman Integrative Genomics and Bioinformatics Core, The Salk Institute for Biological Studies, La Jolla, CA, United States c Division of Literatures, Cultures, and Languages, Stanford University, Stanford, CA, United States ARTICLE INFO ABSTRACT Keywords: Radical lifespan disparities exist in the animal kingdom. While the ocean quahog can survive for half a mil- Evolution of aging lennium, the mayfly survives for less than 48 h. The evolutionary theories of aging seek to explain whysuchstark Mutation accumulation longevity differences exist and why a deleterious process like aging evolved. The classical mutation accumu- Antagonistic pleiotropy lation, antagonistic pleiotropy, and disposable soma theories predict that increased extrinsic mortality should Disposable soma select for the evolution of shorter lifespans and vice versa. Most experimental and comparative field studies Lifespan conform to this prediction. Indeed, animals with extreme longevity (e.g., Greenland shark, bowhead whale, giant Extrinsic mortality tortoise, vestimentiferan tubeworms) typically experience minimal predation. However, data from guppies, nematodes, and computational models show that increased extrinsic mortality can sometimes lead to longer evolved lifespans. The existence of theoretically immortal animals that experience extrinsic mortality – like planarian flatworms, panther worms, and hydra – further challenges classical assumptions. Octopuses pose another puzzle by exhibiting short lifespans and an uncanny intelligence, the latter of which is often associated with longevity and reduced extrinsic mortality. -
Moderate Stem Cell Telomere Shortening Rate Postpones Cancer Onset in Stochastic Model
Moderate stem cell telomere shortening rate postpones cancer onset in stochastic model. Simon Holbek, Kristian Moss Bendtsen, Jeppe Juul University of Copenhagen, Niels Bohr Institute, Blegdamsvej 17, DK-2100 Copenhagen, Denmark (Dated: November 3, 2018) Mammalian cells are restricted from proliferating indefinitely. Telomeres at the end of each chromosome are shortened at cell division and, when they reach a critical length, the cell will enter permanent cell cycle arrest - a state known as senescence. This mechanism is thought to be tumor suppressing, as it helps prevent precancerous cells from dividing uncontrollably. Stem cells express the enzyme telomerase, which elongates the telomeres, thereby postponing senescence. However, unlike germ cells and most types of cancer cells, stem cells only express telomerase at levels insufficient to fully maintain the length of their telomeres leading to a slow decline in proliferation potential. It is not yet fully understood how this decline influences the risk of cancer and the longevity of the organism. We here develop a stochastic model to explore the role of telomere dynamics in relation to both senescence and cancer. The model describes the accumulation of cancerous mutations in a multicel- lular organism and creates a coherent theoretical framework for interpreting the results of several recent experiments on telomerase regulation. We demonstrate that the longest average cancer free life span before cancer onset is obtained when stem cells start with relatively long telomeres that are shortened at a steady rate at cell division. Furthermore, the risk of cancer early in life can be reduced by having a short initial telomere length. Finally, our model suggests that evolution will favour a shorter than optimal average cancer free life span in order to postpone cancer onset until late in life. -
Human Cell and Organism Aging: Are There Limits? Interrupted Case Study on Cell Aging
Human Cell and Organism Aging: Are there Limits? Interrupted Case study on Cell Aging Teresa Gonya Department of Biological Sciences University of Wisconsin-Fox Valley Menasha, WI The search for the fountain of youth persists in advertising, and individuals are constantly bombarded with messages about diet, exercise, vitamins and minerals that can help prolong one’s life. The biological basis of aging is often not mentioned in the anti-aging promotions. Is it possible that a diet rich in protein, or fruits and vegetables can add years to your life? Is it possible that a vitamin or mineral ‘tonic’ can promote tissue repair and extend life? Is it possible that a vitamin drink can extend your normal life expectancy? Even clinical medicine focuses on developing new treatments that are based on preventing aging and maintaining organ longevity. We are told to exercise to keep our heart healthy and to stop smoking to prevent damage to body tissues, especially the lungs and blood vessels. The new field of regenerative medicine is based on the premise that stem cells may one day be able to repair tissue and return function to damaged organs. There are real limits to longevity that are based on genetics, lifestyle, medical history and sociology. (1) At the foundation of organism longevity is cell longevity. All organisms are composed of cells. Four different types of tissue cells form the basis of all organs that are found in any animal organism. Each type of tissue cell has a different ability to undergo mitosis and replace itself, should it become damaged or injured. -
Unit 3 Cells Lesson 6 - Cell Theory What Do Living Things Have in Common?
Unit 3 Cells Lesson 6 - Cell Theory What do living things have in common? Explore and question spontaneous generation, an early belief on the properties of life. Observing Phenomena In the 1600s, this was a recipe for creating mice: Place a dirty shirt in an open container of wheat for 21 days and the wheat will transform into mice. 1) Discuss what you think of this recipe. People may have believed that it worked because they did not notice the mice that were living in and reproducing in the wheat containers and maybe hiding beneath the dirty shirts. Observing Phenomena Another belief of spontaneous generation was that fish formed from the mud of dry river beds. 2) What do you think about the recipe for making fish from the mud of a dried up river bed? Observing Phenomena People believed that these recipes would work because they believed in “spontaneous generation.” 3) Why do you think it is called spontaneous generation? Because a living thing spontaneously came into existence from a mixture of nonliving things. What beliefs about natural phenomena did you have as a young child? For example, some young children might think that clouds are fluffy like cotton balls or the moon is made of cheese. As you have gotten older, how have these beliefs changed as you acquired more knowledge? 4) Discuss why they might have believed these and what has changed people's understanding of living things today. Investigation 1: Categorizing Substances In your notebook, write a list of what you think all living things have in common. -
Clark2019.Pdf (4.792Mb)
This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (e.g. PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: This work is protected by copyright and other intellectual property rights, which are retained by the thesis author, unless otherwise stated. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the author. The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the author. When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given. Model Organisms to Models: How Ageing Affects Infectious Disease Dynamics Jessica Clark A thesis submitted for the degree of Doctor of Philosophy The University of Edinburgh 2019 Declaration I declare that this thesis has been composed by myself and that the work has not been submitted for any other degree or professional qualification. I confirm that the work submitted is my own, except where work which has formed part of jointly-authored publications has been included. My contribution and those of the other authors to this work have been explicitly indicated below. I confirm that appropriate credit has been given within this thesis where reference has been made to the work of others. The work presented in Chapter 2 was previously published in Ecology Letters as Disease Spread in Age Structured Populations with Maternal Age Effects by Jessica Clark (Author of Declaration & Student), Jenny Garbutt (Research Group Member), Luke McNally (Collaborator) & Tom Little (Primary Supervisor). -
Hayflick, His Limit, and Cellular Ageing Clearly a Next Step Is Automation
PERSPECTIVES Finally, the most apparent drawback is the Whether or not nucleic acid computers 175–179 (2000). 3. Faulhammer, D., Cukras, A., Lipton, R. J. & Landweber, L. time required for each computation. ultimately prove feasible, they have already F. Molecular computation: RNA solutions to chess Whereas a simple desktop computer can contributed to multi-disciplinary science by problems. Proc. Natl Acad. Sci. USA 97, 1385–1389 (2000). solve the seven-city instance of the Travelling causing us to question the nature of comput- 4. Ouyang, Q., Kaplan, P. D., Liu, S. & Libchaber, A. DNA Salesman Problem in less than a second, ing and to forge new links between the biolog- solution of the maximal clique problem. Science 278, 1 446–449 (1997). Adleman took seven days . The use of DNA ical and computational sciences. For example, 5. Henegariu, O., Heerema, N. A., Dlouhy, S. R., Vance, G. H. chips2 or other approaches may eventually it has led us to focus on the nature of biologi- & Vogt, P. H. Multiplex PCR: Critical parameters and step- by-step protocol. Biotechniques 23, 504–511 (1997). lead to automation, which would save con- cal DNA computations, such as the assembly 6. Karp, G. Cell and Molecular Biology: Concepts and siderable amounts of time, but fundamental of modern genes from encrypted building- Experiments 2nd edn (John Wiley & Sons, New York, 1999). DNA computing technology needs to blocks in the genomes of some single-celled 7. Seife, C. RNA works out knight moves. Science 287, advance far beyond its current bounds before ciliates (FIG. 5)14. -
Cooperation and Conflict During the Unicellular–Multicellular and Prokaryotic–Eukaryotic Transitions
Font-Ch17 8/1/03 6:43 PM Page 195 CHAPTER 17 Cooperation and conflict during the unicellular–multicellular and prokaryotic–eukaryotic transitions Richard E. Michod and Aurora M. Nedelcu Individuals often associate in groups that, under group. Initially, group fitness is taken to be the aver- certain conditions, may evolve into higher-level age of the lower-level fitnesses of its members, but, individuals. It is these conditions and this process as the evolutionary transition proceeds, group fit- of individuation of groups that we wish to under- ness becomes decoupled from the fitness of lower- stand. These groups may involve members of the level components. Witness, for example, colonies of same species or different species. For example, eusocial insects or the cell groups that form organ- under certain conditions bacteria associate to form isms; in these cases, some group members have no a fruiting body, amoebae associate to form a slug- individual fitness (sterile castes, somatic cells) yet like slime mold, solitary cells form a colonial group, this does not detract from the fitness of the group, normally solitary wasps breed cooperatively, birds indeed it is presumed to enhance it. associate to form a colony, and mammals form soci- The essence of an evolutionary transition in indi- eties. Likewise, individuals of different species viduality is that the lower-level individuals must as associate and form symbiotic associations; about it were “relinquish” their “claim” to fitness, that is 2000 million years ago, such an association evolved to flourish and multiply, in favor of the new higher- into the first mitochondriate eukaryotic cell. -
Muller's Ratchet As a Mechanism of Frailty and Multimorbidity
bioRxivMuller’s preprint ratchetdoi: https://doi.org/10.1101/439877 and frailty ; this version posted[Type Octoberhere] 10, 2018. The copyright holder Govindarajufor this preprint and (which Innan was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Muller’s ratchet as a mechanism of frailty and multimorbidity 2 3 Diddahally R. Govindarajua,b,1, 2, and Hideki Innanc,1,2 4 5 aDepartment of Human Evolutionary Biology, Harvard University, Cambridge, MA 02138; 6 and bThe Institute of Aging Research, Albert Einstein College of Medicine, Bronx, 7 NY 1046, and cGraduate University for Advanced Studies, Hayama, Kanagawa, 8 240-0193, Japan 9 10 11 12 Authors contributions: D.R.G., H.I designed study, performed research, contributed new 13 analytical tools, analyzed data and wrote the paper 14 15 The authors declare no conflict of interest 16 1D.R.G., and H.I. contributed equally to this work and listed alphabetically 17 2 Correspondence: Email: [email protected]; [email protected] 18 19 Senescence | mutation accumulation | asexual reproduction | somatic cell-lineages| 20 organs and organ systems |Muller’s ratchet | fitness decay| frailty and multimorbidity 21 22 23 24 25 26 27 28 29 30 31 32 1 bioRxivMuller’s preprint ratchetdoi: https://doi.org/10.1101/439877 and frailty ; this version posted[Type Octoberhere] 10, 2018. The copyright holder Govindarajufor this preprint and (which Innan was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 33 Mutation accumulation has been proposed as a cause of senescence.