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  1. Regenerative Pathologies: Stem Cells, Teratomas and Theories of Cancer. [REVIEW]Melinda Cooper - 2009 - Medicine Studies 1 (1):55-66.
    What is now familiarly referred to as the ‘embryonic stem (ES) cell’ is a recent biological category whose origins lie in research into benign and malignant teratomas carried out in the 1950s, 60s and 70s. In these studies, the question of the normal or pathological character of the ES cell was a matter of considerable debate and indeed the term ES cell was often used interchangeably with that of the embryonal carcinoma (EC) cell. This article argues that the indecisiveness of (...)
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  • The tissue organization field theory of cancer: A testable replacement for the somatic mutation theory.Ana M. Soto & Carlos Sonnenschein - 2011 - Bioessays 33 (5):332-340.
    The somatic mutation theory (SMT) of cancer has been and remains the prevalent theory attempting to explain how neoplasms arise and progress. This theory proposes that cancer is a clonal, cell‐based disease, and implicitly assumes that quiescence is the default state of cells in multicellular organisms. The SMT has not been rigorously tested, and several lines of evidence raise questions that are not addressed by this theory. Herein, we propose experimental strategies that may validate the SMT. We also call attention (...)
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  • The default state of the cell: Quiescence or proliferation?Edward Parr - 2012 - Bioessays 34 (1):36-37.
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  • (1 other version)Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
    Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.
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  • (4 other versions)The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - Chicago, IL: University of Chicago Press. Edited by Ian Hacking.
    Thomas S. Kuhn's classic book is now available with a new index.
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  • On physicalism and downward causation in developmental and cancer biology.A. M. Soto, C. Sonnenschein & P. A. Miquel - 2008 - Acta Biotheoretica 56 (4):257-274.
    The dominant position in Philosophy of Science contends that downward causation is an illusion. Instead, we argue that downward causation doesn’t introduce vicious circles either in physics or in biology. We also question the metaphysical claim that “physical facts fix all the facts.” Downward causation does not imply any contradiction if we reject the assumption of the completeness and the causal closure of the physical world that this assertion contains. We provide an argument for rejecting this assumption. Furthermore, this allows (...)
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  • Downward causation in fluid convection.Robert C. Bishop - 2008 - Synthese 160 (2):229 - 248.
    Recent developments in nonlinear dynamics have found wide application in many areas of science from physics to neuroscience. Nonlinear phenomena such as feedback loops, inter-level relations, wholes constraining and modifying the behavior of their parts, and memory effects are interesting candidates for emergence and downward causation. Rayleigh–Bénard convection is an example of a nonlinear system that, I suggest, yields important insights for metaphysics and philosophy of science. In this paper I propose convection as a model for downward causation in classical (...)
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  • Perspectives On Organisms: Biological Time, Symmetries And Singularities.Maël Montévil & Giuseppe Longo - 2014 - Springer.
    This authored monograph introduces a genuinely theoretical approach to biology. Starting point is the investigation of empirical biological scaling including their variability, which is found in the literature, e.g. allometric relationships, fractals, etc. The book then analyzes two different aspects of biological time: first, a supplementary temporal dimension to accommodate proper biological rhythms; secondly, the concepts of protension and retention as a means of local organization of time in living organisms. Moreover, the book investigates the role of symmetry in biology, (...)
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  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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  • (4 other versions)The Logic of Scientific Discovery.Karl Popper - 1959 - Studia Logica 9:262-265.
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  • A Conceptual Model of Morphogenesis and Regeneration.A. Tosenberger, N. Bessonov, M. Levin, N. Reinberg, V. Volpert & N. Morozova - 2015 - Acta Biotheoretica 63 (3):283-294.
    This paper is devoted to computer modelling of the development and regeneration of multicellular biological structures. Some species are able to regenerate parts of their body after amputation damage, but the global rules governing cooperative cell behaviour during morphogenesis are not known. Here, we consider a simplified model organism, which consists of tissues formed around special cells that can be interpreted as stem cells. We assume that stem cells communicate with each other by a set of signals, and that the (...)
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  • SMT or TOFT? How the Two Main Theories of Carcinogenesis are Made Incompatible.Angélique Stéphanou & Nicolas Glade - 2015 - Acta Biotheoretica 63 (3):257-267.
    The building of a global model of carcinogenesis is one of modern biology’s greatest challenges. The traditional somatic mutation theory is now supplemented by a new approach, called the Tissue Organization Field Theory. According to TOFT, the original source of cancer is loss of tissue organization rather than genetic mutations. In this paper, we study the argumentative strategy used by the advocates of TOFT to impose their view. In particular, we criticize their claim of incompatibility used to justify the necessity (...)
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  • The evolving concept of tumor microenvironments.Ezio Laconi - 2007 - Bioessays 29 (8):738-744.
    The role of the microenvironment in cancer development is being increasingly appreciated. This paper will review data that highlight an emerging distinction between two different entities: the microenvironment that altered/preneoplastic/neoplastic cells find in the tissue where they reside, and the peculiar microenvironment inside the focal lesion (tumor) that these cells contribute to create. While alteration in the tissue environment can contribute to the selective clonal expansion of altered cells to form focal proliferative lesions, the atypical, non‐integrated growth pattern that defines (...)
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  • Reprogramming cell fates: reconciling rarity with robustness.Sui Huang - 2009 - Bioessays 31 (5):546-560.
    The stunning possibility of “reprogramming” differentiated somatic cells to express a pluripotent stem cell phenotype (iPS, induced pluripotent stem cell) and the “ground state” character of pluripotency reveal fundamental features of cell fate regulation that lie beyond existing paradigms. The rarity of reprogramming events appears to contradict the robustness with which the unfathomably complex phenotype of stem cells can reliably be generated. This apparent paradox, however, is naturally explained by the rugged “epigenetic landscape” with valleys representing “preprogrammed” attractor states that (...)
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  • Beyond the oncogene paradigm: Understanding complexity in cancerogenesis.M. Bizzarri, A. Cucina, F. Conti & F. D’Anselmi - 2008 - Acta Biotheoretica 56 (3):173-196.
    In the past decades, an enormous amount of precious information has been collected about molecular and genetic characteristics of cancer. This knowledge is mainly based on a reductionistic approach, meanwhile cancer is widely recognized to be a ‘system biology disease’. The behavior of complex physiological processes cannot be understood simply by knowing how the parts work in isolation. There is not solely a matter how to integrate all available knowledge in such a way that we can still deal with complexity, (...)
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  • Reductionism in Biology.Ingo Brigandt & Alan Love - 2008 - The Stanford Encyclopedia of Philosophy.
    Reductionism encompasses a set of ontological, epistemological, and methodological claims about the relation of different scientific domains. The basic question of reduction is whether the properties, concepts, explanations, or methods from one scientific domain (typically at higher levels of organization) can be deduced from or explained by the properties, concepts, explanations, or methods from another domain of science (typically one about lower levels of organization). Reduction is germane to a variety of issues in philosophy of science, including the structure of (...)
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  • (4 other versions)The Logic of Scientific Discovery.K. Popper - 1959 - British Journal for the Philosophy of Science 10 (37):55-57.
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  • SMT or TOFT? How the Two Main Theories of Carcinogenesis are Made (Artificially) Incompatible.Baptiste Bedessem & Stéphanie Ruphy - 2015 - Acta Biotheoretica 63 (3):257-267.
    The building of a global model of carcinogenesis is one of modern biology’s greatest challenges. The traditional somatic mutation theory is now supplemented by a new approach, called the Tissue Organization Field Theory. According to TOFT, the original source of cancer is loss of tissue organization rather than genetic mutations. In this paper, we study the argumentative strategy used by the advocates of TOFT to impose their view. In particular, we criticize their claim of incompatibility used to justify the necessity (...)
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  • A Conceptual Model of Morphogenesis and Regeneration.Angélique Stéphanou & Nicolas Glade - 2015 - Acta Biotheoretica 63 (3):283-294.
    This paper is devoted to computer modelling of the development and regeneration of multicellular biological structures. Some species are able to regenerate parts of their body after amputation damage, but the global rules governing cooperative cell behaviour during morphogenesis are not known. Here, we consider a simplified model organism, which consists of tissues formed around special cells that can be interpreted as stem cells. We assume that stem cells communicate with each other by a set of signals, and that the (...)
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