Results for 'Model systems'

987 found
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  1.  59
    Model systems in developmental biology.Jessica A. Bolker - 1995 - Bioessays 17 (5):451-455.
    The practical criteria by which developmental biologists choose their model systems have evolutionary correlates. The result is a sample that is not merely small, but biased in particular ways, for example towards species with rapid, highly canalized development. These biases influence both data collection and interpretation, and our views of how development works and which aspects of it are important.
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  2.  28
    Model systems in stem cell biology.Jason Scott Robert - 2004 - Bioessays 26 (9):1005-1012.
    Stem cell scientists and ethicists have focused intently on questions relevant to the developmental stage and developmental capacities of stem cells. Comparably less attention has been paid to an equally important set of questions about the nature of stem cells, their common characteristics, their non‐negligible differences and their possible developmental species specificity. Answers to these questions are essential to the project of justly inferring anything about human stem cell biology from studies in non‐human model systems—and so to the (...)
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  3. Science without Laws. Model Systems, Cases, Exemplary Narratives.Angela N. H. Creager, Elizabeth Lunbeck & M. Norton Wise - 2008 - Journal of the History of Biology 41 (1):199-202.
  4.  37
    What is so special about smell? Olfaction as a model system in neurobiology.Ann-Sophie Barwich - 2015 - Postgraduate Medical Journal 92:27-33.
    Neurobiology studies mechanisms of cell signalling. A key question is how cells recognise specific signals. In this context, olfaction has become an important experimental system over the past 25 years. The olfactory system responds to an array of structurally diverse stimuli. The discovery of the olfactory receptors (ORs), recognising these stimuli, established the olfactory pathway as part of a greater group of signalling mechanisms mediated by G-protein-coupled receptors (GPCRs). GPCRs are the largest protein family in the mammalian genome and involved (...)
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  5.  13
    The Model System of Contemporary Literary Criticism.Mary Poovey - 2001 - Critical Inquiry 27 (3):408-438.
  6.  61
    Relational model systems: The craft of logic.Raphael Stern - 1984 - Synthese 60 (2):225 - 252.
  7. Relational model systems.Raphael Stern - 1983 - In Alex Orenstein & Rafael Stern (eds.), Developments in Semantics. Haven. pp. 2--114.
     
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  8.  20
    A Model System Works: Looking Deeper than Suicide.Stuart J. Youngner - 1993 - Journal of Clinical Ethics 4 (4):332-333.
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  9.  8
    A model system approach to memory.Richard F. Thompson - 1989 - In P. Solomon, G. Goethals, Clarence M. Kelley & Ron Stephens (eds.), Memory: Interdisciplinary Approaches. Springer Verlag. pp. 17--32.
  10.  23
    Model systems” versus “neuroethological” approach to hippocampal function.Richard F. Thompson, Paul R. Solomon & Donald J. Weisz - 1979 - Behavioral and Brain Sciences 2 (4):517-518.
  11.  27
    Modelling systems with intentional dynamics: A lesson from quantum mechanics.R. E. Shaw, E. E. Kadar & Jeffrey Kinsella-Shaw - 1994 - In Karl H. Pribram (ed.), Origins: Brain and Self-Organization. Lawrence Erlbaum. pp. 53--101.
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  12.  61
    The vertebrate limb: A model system to study the Hox/hom gene network during development and evolution.Denis Duboule - 1992 - Bioessays 14 (6):375-384.
    The potential of the vertebrate limb as a model system to study developmental mechanisms is particularly well illustrated by the analysis of the Hox gene network. These genes are probably involved in the establishment of patterns encoding positional information. Their functional organisation during both limb and trunk development are very similar and seem to involve the progressive activation in time, along the chromosome, of a battery of genes whose products could differentially instruct those cells where they are expressed. This (...)
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  13.  4
    The vertebrate limb: A model system to study the Hox/hom gene network during development and evolution.Denis Duboule - 1992 - Bioessays 14 (6):375-384.
    The potential of the vertebrate limb as a model system to study developmental mechanisms is particularly well illustrated by the analysis of the Hox gene network. These genes are probably involved in the establishment of patterns encoding positional information. Their functional organisation during both limb and trunk development are very similar and seem to involve the progressive activation in time, along the chromosome, of a battery of genes whose products could differentially instruct those cells where they are expressed. This (...)
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  14. Aging and memory: A model systems approach.P. R. Solomon & W. W. Pendlebury - 1992 - In L. R. Squire & N. Butters (eds.), Neuropsychology of Memory. Guilford Press. pp. 262--276.
     
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  15.  14
    Deubiquitinating Enzymes in Model Systems and Therapy: Redundancy and Compensation Have Implications.Sarah Zachariah & Douglas A. Gray - 2019 - Bioessays 41 (11):1900112.
    The multiplicity of deubiquitinating enzymes (DUBs) encoded by vertebrate genomes is partly attributable to whole genome duplication events that occurred early in chordate evolution. By surveying the literature for the largest family of DUBs (the ubiquitin-specific proteases), extensive functional redundancy for duplicated genes has been confirmed as opposed to singletons. Dramatically conflicting results have been reported for loss of function studies conducted through RNA interference as opposed to inactivating mutations, but the contradictory findings can be reconciled by a recently proposed (...)
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  16.  13
    Georg Striedter, Model Systems in Biology: History, Philosophy, and Practical Concerns, Cambridge, MA: MIT Press, 2022.Nina Atanasova - 2023 - History and Philosophy of the Life Sciences 45 (3):1-4.
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  17.  23
    Science without Laws: Model Systems, Cases, Exemplary Narratives.Angela N. H. Creager, Elizabeth Lunbeck, M. Norton Wise, Barbara Herrnstein Smith & E. Roy Weintraub (eds.) - 2007 - Duke University Press.
    Physicists regularly invoke universal laws, such as those of motion and electromagnetism, to explain events. Biological and medical scientists have no such laws. How then do they acquire a reliable body of knowledge about biological organisms and human disease? One way is by repeatedly returning to, manipulating, observing, interpreting, and reinterpreting certain subjects—such as flies, mice, worms, or microbes—or, as they are known in biology, “model systems.” Across the natural and social sciences, other disciplinary fields have developed canonical (...)
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  18.  9
    Yeast as a model system for understanding the control of DNA replication in eukaryotes.Rachel Bartlett & Paul Nurse - 1990 - Bioessays 12 (10):457-463.
    In the yeasts Saccharomyces cerevisiae and Schizosaccharomyces pombe, the initiation of DNA replication is controlled at a point called START. At this point, the cellular environment is assessed; only if conditions are appropriate do cells traverse START, thus becoming committed to initiate DNA replication and complete the remainder of the cell cycle. The cdc2+ / CDC28+ gene, encoding the protein kinase p34, is a key element in this complex control. The identification of structural and functional homologues of p34 suggests that (...)
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  19. The biochemistry of memory consolidation: A model system for the philosophy of mind.Kenneth Aizawa - 2007 - Synthese 155 (1):65-98.
    This paper argues that the biochemistry of memory consolidation provides valuable model systems for exploring the multiple realization of psychological states.
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  20.  9
    “To Exist Is to Have Confidence in One’s Way of Being”: Rituals as Model Systems.Clifford Geertz - 2007 - In Angela N. H. Creager, Elizabeth Lunbeck, M. Norton Wise, Barbara Herrnstein Smith & E. Roy Weintraub (eds.), Science without Laws: Model Systems, Cases, Exemplary Narratives. Duke University Press. pp. 212-224.
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  21.  6
    Society Ladenness Model: System-Parametric Analysis.Alla Nerubasska, Volha Paulava, Valentyna Bogachenko & Oresta Lopuha - 2021 - Postmodern Openings 12 (1Sup1):271-286.
    The system-parametric method developed by A. Uyemov allows creating a model of the contemporary bifurcational reality. There are many terms adopted from other sciences which are often used in postmodern philosophy. Bifurcation is one of such terms adopted from synergetics. In this article emphasis is placed on the contemporary time which is bifurcational in its essence. Using the key thesis of the systems method which states that any object can be presented as a system, we propose to create (...)
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  22.  16
    Bacteriophage lambda as a model system.Allan M. Campbell - 1986 - Bioessays 5 (6):277-280.
  23.  15
    Understanding Human Lung Development through In Vitro Model Systems.Renee F. Conway, Tristan Frum, Ansley S. Conchola & Jason R. Spence - 2020 - Bioessays 42 (6):2000006.
    An abundance of information about lung development in animal models exists; however, comparatively little is known about lung development in humans. Recent advances using primary human lung tissue combined with the use of human in vitro model systems, such as human pluripotent stem cell‐derived tissue, have led to a growing understanding of the mechanisms governing human lung development. They have illuminated key differences between animal models and humans, underscoring the need for continued advancements in modeling human lung development (...)
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  24.  9
    Medakafish as a model system for vertebrate developmental genetics.Yuji Ishikawa - 2000 - Bioessays 22 (5):487-495.
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  25.  20
    Myelin mutants: Model systems for the study of normal and abnormal myelination.Ian R. Griffiths - 1996 - Bioessays 18 (10):789-797.
    Spontaneous mutations that perturb myelination occur in a range of species including man, and together with engineered mutations have been used to study disease, normal myelination and axon/glial inter‐relationships. Only a minority of the currently defined mutations have an apparently simple pathogenesis due to lack of a functional protein. Mutations in the myelin basic protein gene lead to a lack of protein, resulting in changes in the structure of myelin, which can be rescued by transgenic complementation. The pathogenesis of autosomal (...)
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  26.  46
    Science without Laws: Model Systems, Cases, Exemplary Narratives. [REVIEW]Lorraine Daston - 2008 - Common Knowledge 14 (3):494-494.
  27.  10
    Thumper the Infinitesimal Rabbit: A Fictionalist Perspective on Some “Unimaginable” Model Systems in Biology.Brian McLoone - 2019 - Philosophy of Science 86 (4):662-671.
    Fictionalists believe that scientific models are about model systems that are imaginary. Michael Weisberg has claimed that fictionalism is indefensible because many scientific models are about model systems that are unimaginable. According to a certain account of imagination, what Weisberg says is plausible. According to another, more defensible account of imagination, it is not. I discuss these issues within the context of an allegedly unimaginable model system in ecology, but the conclusions I draw are more (...)
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  28.  44
    The place of art among other modelling systems.Juri Lotman - 2011 - Sign Systems Studies 39 (2/4):249-269.
    This article by Juri Lotman from the third volume of Trudy po znakovym sistemam (Sign Systems Studies) in 1967, deals with the problem of artistic modelling. The general working questions are whether art displays any characteristic traits that are common for all modelling systems and which could be the specific traits that can distinguish art from other modelling systems. Art is seen as a secondary modelling system, more precisely, as a play-type model, which is characterised simultaneously (...)
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  29.  39
    The pea aphid, Acyrthosiphon pisum: an emerging genomic model system for ecological, developmental and evolutionary studies.Jennifer A. Brisson & David L. Stern - 2006 - Bioessays 28 (7):747-755.
    Aphids display an abundance of adaptations that are not easily studied in existing model systems. Here we review the biology of a new genomic model system, the pea aphid, Acyrthosiphon pisum. We then discuss several phenomena that are particularly accessible to study in the pea aphid: the developmental genetic basis of polyphenisms, aphid–bacterial symbioses, the genetics of adaptation and mechanisms of virus transmission. The pea aphid can be maintained in the laboratory and natural populations can be studied (...)
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  30.  49
    The place of art among other modelling systems.Kalevi Kull - 2011 - Sign Systems Studies 39 (2-4):249-269.
    This article by Juri Lotman from the third volume of Trudy po znakovym sistemam (Sign Systems Studies) in 1967, deals with the problem of artistic modelling. The general working questions are whether art displays any characteristic traits that are common for all modelling systems and which could be the specific traits that can distinguish art from other modelling systems. Art is seen as a secondary modelling system, more precisely, as a play-type model, which is characterised simultaneously (...)
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  31.  41
    Empowering plant evo-devo: Virus induced gene silencing validates new and emerging model systems.Verónica S. Di Stilio - 2011 - Bioessays 33 (9):711-718.
  32.  18
    Hormone signaling in evolution and development: a non‐model system approachs.Andreas Heyland, Jason Hodin & Adam M. Reitzel - 2005 - Bioessays 27 (1):64-75.
    Cooption and modularity are informative concepts in evolutionary developmental biology. Genes function within complex networks that act as modules in development. These modules can then be coopted in various functional and evolutionary contexts. Hormonal signaling, the main focus of this review, has a modular character. By regulating the activities of genes, proteins and other cellular molecules, a hormonal signal can have major effects on physiological and ontogenetic processes within and across tissues over a wide spatial and temporal scale. Because of (...)
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  33.  56
    Molecular biology of T‐cell‐derived lymphokines: A model system for proliferation and differentiation of hemopoietic cells.K. Arai, T. Yokota, A. Miyajima, N. Arai & F. Lee - 1986 - Bioessays 5 (4):166-171.
    Many lymphokine genes have now been cloned from activated T cells and their products have been expressed in mammalian cells. Use of these recombinant lymphokines has provided the opportunity to evaluate both the spectrum of their biological activities and the mechanisms of their action in promoting proliferation and differentiation of hemopoietic and lymphoid cells. Characterization of the structure of lymphokine genes will provide information about their regulated expression in T‐cell activation.
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  34.  37
    Nanog Expression in Embryonic Stem Cells - An Ideal Model System to Dissect Enhancer Function.Steven Blinka & Sridhar Rao - 2017 - Bioessays 39 (12):1700086.
    Embryonic stem cells are derived from the preimplantation embryo and can differentiate into virtually any other cell type, which is governed by lineage specific transcriptions factors binding to cis regulatory elements to mediate changes in gene expression. The reliance on transcriptional regulation to maintain pluripotency makes ESCs a valuable model to study the role of distal CREs such as enhancers in modulating gene expression to affect cell fate decisions. This review will highlight recent advance on transcriptional enhancers, focusing on (...)
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  35. Corruption Models of Behaviour in the Structure of the Political System of Society.Oleh Kuz, Nina Konnova & Dmytro Korotkov - 2024 - Dialogue and Universalism 34 (1):131-141.
    The phenomenon of corruption as a type of crime is immanently inherent in social and political reality. Sociality as a trans-societal universal form of human community is the environment in which corruption ties are born and function. The socio-political structure is organized as a collective effort, on the one hand, it overcomes disintegration, and on the other, it generates corrupt behaviour patterns. Corruption models of behaviour have an extremely wide scale of distribution and are characterized by active institutional expansion into (...)
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  36.  4
    Melanoma formation in xiphophorus: A model system for the role of receptor tyrosine kinases in tumorigenesis.Barbara Malitschek, Dorothee Förnzler & Manfred Schartl - 1995 - Bioessays 17 (12):1017-1023.
    Cancer is one of the most frequent fatal human diseases. It is a genetic disease, and molecular analysis of the genes involved revealed that they belong to several distinct classes of molecules, one of which is the receptor tyrosine kinases. Neoplastic transformation is regarded as the result of a multistep process and, in most cases, it is hard to evaluate what the initial events in tumor formation are. What makes it difficult to approach this question is the paucity of animal (...)
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  37.  7
    Studying Invention: The Hand Tool as a Model System.Antolin M. Llorente, Stacey Dixon & Robert J. Weber - 1993 - Science, Technology and Human Values 18 (4):480-505.
    Invention is an important source of technology, and, to understand invention, one needs a model system or prototype. A candidate model system is the hand tool. Using the hand tool as an example, the authors present a systematic approach to invention, dealing with description, classification, and joining or integrating simpler forms. Heuristics for when to integrate are presented. Finally, the authors introduce a new way of thinking about hand tools: simple spatial transformations applied to an abstract element make (...)
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  38.  51
    The place of art among other modelling systems.Kalevi Kull - 2011 - Sign Systems Studies 39 (2/4):249-269.
    This article by Juri Lotman from the third volume of Trudy po znakovym sistemam (Sign Systems Studies) in 1967, deals with the problem of artistic modelling. The general working questions are whether art displays any characteristic traits that are common for all modelling systems and which could be the specific traits that can distinguish art from other modelling systems. Art is seen as a secondary modelling system, more precisely, as a play-type model, which is characterised simultaneously (...)
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  39. Induced pluripotent stem cells as new model systems in oncology.Lucie Laplane, Allan Beke, William Vainchenker & Eric Solary - 2015 - Stem Cells 33:2887-2892.
    The demonstration that pluripotent stem cells could be generated by somatic cell reprogramming led to wonder if these so-called induced pluripotent stem (iPS) cells would extend our investigation capabilities in the cancer research field. The first iPS cells derived from cancer cells have now revealed the benefits and potential pitfalls of this new model. iPS cells appear to be an innovative approach to decipher the steps of cell transformation as well as to screen the activity and toxicity of anticancer (...)
     
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  40.  23
    Newly evolved genes: Moving from comparative genomics to functional studies in model systems.José M. Ranz & John Parsch - 2012 - Bioessays 34 (6):477-483.
    Genes are gained and lost over the course of evolution. A recent study found that over 1,800 new genes have appeared during primate evolution and that an unexpectedly high proportion of these genes are expressed in the human brain. But what are the molecular functions of newly evolved genes and what is their impact on an organism's fitness? The acquisition of new genes may provide a rich source of genetic diversity that fuels evolutionary innovation. Although gene manipulation experiments are not (...)
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  41.  22
    Identifying roles for neurotransmission in circuit assembly: insights gained from multiple model systems and experimental approaches.Adam Bleckert & Rachel Ol Wong - 2011 - Bioessays 33 (1):61-72.
  42.  23
    Vienna–Chicago: The cultural transformation of the model system of the un‐opposed molar.Xianghong Luan & Thomas G. H. Diekwisch - 2007 - Bioessays 29 (8):819-830.
    The discussion over the roles of genes and environment on the phenotypical specification of organisms has held a central role in science philosophy since the late 19th century and has re‐emerged in today's debate over genetic determinism and developmental plasticity. In fin‐de‐siecle Vienna, this debate coincided with a philosophical debate over empiricism/materialism versus idealism/vitalism. Turn‐of‐the‐century Vienna's highly interdisciplinary environment was also the birthplace for the model system of the un‐opposed molar. The un‐opposed molar system features new tissue formation at (...)
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  43.  12
    Science without laws: model systems, cases, exemplary narratives - Edited by Angela N. H. Creager, Elizabeth Lunbeck and N. Norton Wise. [REVIEW]Joan Steigerwald - 2009 - Centaurus 51 (2):172-173.
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  44.  17
    Arabidopsis to Zebrafish: A Commentary on "Rosetta Stone" Model Systems in the Biological Sciences.Howard Gest - 1995 - Perspectives in Biology and Medicine 39 (1):77-85.
  45.  50
    Semioticians Make Strange Bedfellows! Or, Once Again: “Is Language a Primary Modelling System?”. [REVIEW]Han-Liang Chang - 2009 - Biosemiotics 2 (2):169-179.
    Like other sciences, biosemiotics also has its time-honoured archive, consisting of writings by those who have been invented and revered as ancestors of the discipline. One such example is Jakob von Uexküll. As to the people who ‘invented’ him, they are either, to paraphrase a French cliché, ‘agents du cosmopolitisme sémiotique’ like Thomas Sebeok, or de jure and de facto progenitor like Thure von Uexküll. In the archive is the special issue of Semiotica 42. 1 (1982) edited by the late (...)
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  46. Sensory and cognitive mechanisms in temporal processing elucidated by a model systems approach.Thomas Rammsayer - 2003 - In Hede Helfrich (ed.), Time and Mind Ii: Information Processing Perspectives. Hogrefe & Huber Publishers. pp. 97--113.
     
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  47.  12
    Convergent Validation of Methods for the Identification of Psychotherapeutic Phase Transitions in Time Series of Empirical and Model Systems.Günter Schiepek, Helmut Schöller, Giulio de Felice, Sune Vork Steffensen, Marie Skaalum Bloch, Clemens Fartacek, Wolfgang Aichhorn & Kathrin Viol - 2020 - Frontiers in Psychology 11.
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  48.  27
    Individual differences in subtle awareness and levels of awareness: Olfaction as a model system.Gary E. Schwartz - 2000 - In Robert G. Kunzendorf & B. Alan Wallace (eds.), Individual Differences in Conscious Experience. John Benjamins. pp. 209.
  49.  18
    Penrose matching rules from realistic potentials in a model system.S. Lim, M. Mihalkovič & C. L. Henley - 2008 - Philosophical Magazine 88 (13-15):1977-1984.
  50.  6
    Empowering plant evo-devo: Virus induced gene silencing validates new and emerging model systems.Verónica S. Di Stilio - 2011 - Bioessays 33 (9):711-718.
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