Search results for 'GENE-EXPRESSION' (try it on Scholar)

  1.  24
    Rolf Ohlsson, Victor Lobanenkov & Elena Klenova (2010). Does CTCF Mediate Between Nuclear Organization and Gene Expression? Bioessays 32 (1):37-50.
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  2.  7
    Jean‐Pascal Capp (2012). Stochastic Gene Expression Stabilization as a New Therapeutic Strategy for Cancer. Bioessays 34 (3):170-173.
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  3.  3
    Philippe Collas, Eivind G. Lund & Anja R. Oldenburg (2014). Closing the (Nuclear) Envelope on the Genome: How Nuclear Lamins Interact with Promoters and Modulate Gene Expression. Bioessays 36 (1):75-83.
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  4.  4
    Angelika Merkel & Roderic Guigó (2011). Review of 'Cap‐Analysis Gene Expression'. [REVIEW] Bioessays 33 (3):233-234.
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  5.  1
    Hunter B. Fraser (2011). Genome‐Wide Approaches to the Study of Adaptive Gene Expression Evolution. Bioessays 33 (6):469-477.
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  6.  18
    Tianjaio Chu, Two Statistical Problems for Inference to Regulatory Structure From Associations of Gene Expression Measurements with Microarrays.
    Of the many proposals for inferring genetic regulatory structure from microarray measurements of mRNA transcript hybridization, several aim to estimate regulatory structure from the associations of gene expression levels measured in repeated samples. The repeated samples may be from a single experimental condition, or from several distinct experimental conditions; they may be “equilibrium” measurements or time series; the associations may be estimated by correlation coefficients or by conditional frequencies (for discretized measurements) or by some other statistic. This paper describes two (...)
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  7.  19
    Ohad Nachtomy, Ayelet Shavit & Zohar Yakhini (2007). Gene Expression and the Concept of the Phenotype. Studies in History and Philosophy of Science Part C 38 (1):238-254.
    While the definition of the ‘genotype’ has undergone dramatic changes in the transition from classical to molecular genetics, the definition of the ‘phenotype’ has remained for a long time within the classical framework. In addition, while the notion of the genotype has received significant attention from philosophers of biology, the notion of the phenotype has not. Recent developments in the technology of measuring gene-expression levels have made it possible to conceive of phenotypic traits in terms of levels of gene (...)
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  8.  32
    Joel D. Velasco (2012). Objective and Subjective Probability in Gene Expression. Progress in Biophysics and Molecular Biology 110:5-10.
    In this paper I address the question of whether the probabilities that appear in models of stochastic gene expression are objective or subjective. I argue that while our best models of the phenomena in question are stochastic models, this fact should not lead us to automatically assume that the processes are inherently stochastic. After distinguishing between models and reality, I give a brief introduction to the philosophical problem of the interpretation of probability statements. I argue that the objective vs. subjective (...)
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  9.  7
    Hans V. Westerhoff & Daniel Kahn (1993). Control Involving Metabolism and Gene Expression. Acta Biotheoretica 41 (1-2):75-83.
    Control of DNA supercoiling by the free-energy of hydrolysis of ATP that involves gene expression is analyzed in terms of three levels of unconnected metabolic pathways. These are synthesis and breakdown of topoisomerase mRNAs, synthesis and breakdown of topoisomerase proteins and supercoiling and relaxation of DNA. The so-called square-matrix method previously developed for the control of metabolic pathways, is extended to deal with this hierarchical control system. It turns out that also in this case, the matrix of control coefficients is (...)
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  10.  5
    Francesco Catania & Michael Lynch (2013). A Simple Model to Explain Evolutionary Trends of Eukaryotic Gene Architecture and Expression. Bioessays 35 (6):561-570.
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  11.  3
    Pater Spirtes, Clark Glymour, Richard Scheines, Stuart Kauffman, Valerio Aimale & Frank Wimberly, Constructing Bayesian Network Models of Gene Expression Networks From Microarray Data.
    Through their transcript products genes regulate the rates at which an immense variety of transcripts and subsequent proteins occur. Understanding the mechanisms that determine which genes are expressed, and when they are expressed, is one of the keys to genetic manipulation for many purposes, including the development of new treatments for disease. Viewing each gene in a genome as a distinct variable that is either on or off, or more realistically as a continuous variable, the values of some of these (...)
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  12.  10
    Clark Glymour, Two Statistical Problems for Inference to Regulatory Structure From Associations of Gene Expression Measurements with Microarrays.
    Of the many proposals for inferring genetic regulatory structure from microarray measurements of mRNA transcript hybridization, several aim to estimate regulatory structure from the associations of gene expression levels measured in repeated samples. The repeated samples may be from a single experimental condition, or from several distinct experimental conditions; they may be “equilibrium” measurements or time series; the associations may be estimated by correlation coefficients or by conditional frequencies (for discretized measurements) or by some other statistic. This paper describes two (...)
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  13. Constantine Cavarnos & American Society of Psychopathology of Expression (2001). Plutarch's Advice on Keeping Well a Lecture Delivered at the International Congress of Psychopathology of Expression and Art Therapy Which Met in September 2000 at Mclean Hospital in Belmont, Massachusetts, Together with an Anthology of Relevant Texts From Plutarch's Works. Monograph Collection (Matt - Pseudo).
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  14.  6
    Ying Ge & Bo T. Porse (2014). The Functional Consequences of Intron Retention: Alternative Splicing Coupled to NMD as a Regulator of Gene Expression. Bioessays 36 (3):236-243.
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  15.  19
    Kunihiko Kaneko (2011). Characterization of Stem Cells and Cancer Cells on the Basis of Gene Expression Profile Stability, Plasticity, and Robustness. Bioessays 33 (6):403-413.
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  16.  5
    Jean‐Pascal Capp (2005). Stochastic Gene Expression, Disruption of Tissue Averaging Effects and Cancer as a Disease of Development. Bioessays 27 (12):1277-1285.
  17.  1
    Barry Keverne (2009). Monoallelic Gene Expression and Mammalian Evolution. Bioessays 31 (12):1318-1326.
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  18.  12
    Jeffrey S. Han & Jef D. Boeke (2005). LINE‐1 Retrotransposons: Modulators of Quantity and Quality of Mammalian Gene Expression? Bioessays 27 (8):775-784.
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  19.  9
    Randall T. Moon & David Kimelman (1998). From Cortical Rotation to Organizer Gene Expression: Toward a Molecular Explanation of Axis Specification in Xenopus. Bioessays 20 (7):536-546.
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  20.  6
    Jay D. Evans & Diana E. Wheeler (2001). Gene Expression and the Evolution of Insect Polyphenisms. Bioessays 23 (1):62-68.
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  21.  1
    Vincenzo Pirrotta & Luca Rastelli (1994). White Gene Expression, Repressive Chromatin Domains and Homeotic Gene Regulation in Drosophila. Bioessays 16 (8):549-556.
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  22.  13
    Aleš Cvekl & Joram Piatigorsky (1996). Lens Development and Crystallin Gene Expression: Many Roles for Pax‐6. Bioessays 18 (8):621-630.
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  23.  5
    Miles F. Wilkinson & Ann‐Bin Shyu (2001). Multifunctional Regulatory Proteins That Control Gene Expression in Both the Nucleus and the Cytoplasm. Bioessays 23 (9):775-787.
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  24.  8
    Diya Banerjee & Frank Slack (2002). Control of Developmental Timing by Small Temporal RNAs: A Paradigm for RNA‐Mediated Regulation of Gene Expression. Bioessays 24 (2):119-129.
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  25.  2
    Vivek M. Advani & Jonathan D. Dinman (2016). Reprogramming the Genetic Code: The Emerging Role of Ribosomal Frameshifting in Regulating Cellular Gene Expression. Bioessays 38 (1):21-26.
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  26.  5
    Claudio D. Stern & Daniel Vasiliauskas (1998). Clocked Gene Expression in Somite Formation. Bioessays 20 (7):528-531.
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  27.  4
    HiteshChandrakant Sheth (2014). Psychiatry, Karma and Gene Expression. International Journal of Yoga - Philosophy, Psychology and Parapsychology 2 (1):15.
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  28.  2
    Niall Dillon & Pierangela Sabbattini (2000). Functional Gene Expression Domains: Defining the Functional Unit of Eukaryotic Gene Regulation. Bioessays 22 (7):657-665.
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  29.  1
    Nikolai V. Tomilin (2008). Regulation of Mammalian Gene Expression by Retroelements and Non‐Coding Tandem Repeats. Bioessays 30 (4):338-348.
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  30. David E. Featherstone & Kendal Broadie (2002). Wrestling with Pleiotropy: Genomic and Topological Analysis of the Yeast Gene Expression Network. Bioessays 24 (3):267-274.
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  31. Jay D. Evans & Diana E. Wheeler (2001). Gene Expression and the Evolution of Insect Polyphenisms†. Bioessays 23 (1):62-68.
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  32.  4
    William F. Thompson, L. S. Kaufman & J. C. Watson (1985). Induction of Plant Gene Expression by Light. Bioessays 3 (4):153-159.
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  33. Colyn Crane‐Robinson (1999). How Do Linker Histones Mediate Differential Gene Expression? Bioessays 21 (5):367-371.
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  34. Joe L. Key (1989). Modulation of Gene Expression by Auxin. Bioessays 11 (2-3):52-58.
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  35.  2
    Jamshed R. Tata (1993). Gene Expression During Metamorphosis: An Ideal Model for Post‐Embryonic Development. Bioessays 15 (4):239-248.
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  36.  2
    Salome Gluecksohn-Waelsch & Donald Defranco (1991). Lethal Chromosomal Deletions in the Mouse, a Model System for the Study of Development and Regulation of Postnatal Gene Expression. Bioessays 13 (11):557-561.
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  37. Mark Schena (1996). Genome Analysis with Gene Expression Microarrays. Bioessays 18 (5):427-431.
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  38.  8
    Ann Ehrenhofer‐Murray, Hemmo Meyer & Wolfgang Nellen (2013). Coal Mining Meets Chromatin Research: Digging for Mechanisms in Epigenetic Control of Gene Expression. Bioessays 35 (2):141-144.
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  39. Joan A. Steitz (1986). Shaping Research in Gene Expression: Role of the Cambridge Medical Research Council Laboratory of Molecular Biology. Perspectives in Biology and Medicine 29 (3 Pt 2):S90.
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  40.  1
    Steven Finkbeiner & Michael E. Greenberg (1997). Spatial Features of Calcium-Regulated Gene Expression. Bioessays 19 (8):657-660.
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  41.  3
    So Hee Kwon & Jerry L. Workman (2011). The Changing Faces of HP1: From Heterochromatin Formation and Gene Silencing to Euchromatic Gene Expression. Bioessays 33 (4):280-289.
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  42.  1
    Vernon French & Antonia Monteiro (1994). Butterfly Wings: Colour Patterns and Now Gene Expression Patterns. Bioessays 16 (11):789-791.
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  43.  5
    Iain J. McEwan, Anthony P. H. Wright & Jan‐Åke Gustafsson (1997). Mechanism of Gene Expression by the Glucocorticoid Receptor: Role of Protein‐Protein Interactions. Bioessays 19 (2):153-160.
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  44.  4
    Carol R. Andersson & Steve A. Kay (1998). COP1 and HY5 Interact to Mediate Light‐Induced Gene Expression. Bioessays 20 (6):445-448.
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  45. Arthur B. Pardee (1985). Roots: Molecular Basis of Gene Expression: Origins From the Pajama Experiment. Bioessays 2 (2):86-89.
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  46.  3
    Sébastien Desfarges & Angela Ciuffi (2012). Viral Integration and Consequences on Host Gene Expression. In Witzany (ed.), Viruses: Essential Agents of Life. Springer 147--175.
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  47.  1
    Emilie Montellier, Sophie Rousseaux, Yingming Zhao & Saadi Khochbin (2012). Histone Crotonylation Specifically Marks the Haploid Male Germ Cell Gene Expression Program. Bioessays 34 (3):187-193.
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  48.  2
    Sarah E. Webb, Marc Moreau, Catherine Leclerc & Andrew L. Miller (2001). Calcium in Development: From Ion Transients to Gene Expression. Bioessays 23 (4):372-374.
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  49.  2
    Mark D. Adams (1996). Serial Analysis of Gene Expression: ESTs Get Smaller. Bioessays 18 (4):261-262.
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  50.  2
    Jane Silverthorne & Elaine M. Tobin (1987). Phytochrome Regulation of Nuclear Gene Expression. Bioessays 7 (1):18-23.
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