Results for 'gene expression'

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  1.  26
    Gene expression in the twilight of death.Alexander E. Pozhitkov & Peter A. Noble - 2017 - Bioessays 39 (9):1700066.
    After a vertebrate dies, many of its organ systems, tissues, and cells remain functional while its body no longer works as a whole. We define this state as the “twilight of death” − the transition from a living body to a decomposed corpse. We claim that the study of the twilight of death is important to ethical, legal and medical science. We examined gene expression at the twilight of death in the zebrafish and mouse reaching the conclusion that (...)
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  2. Gene expression patterns in a novel animal appendage: The sea urchin pluteus arm.A. C. Love, M. E. Lee & R. A. Raff - 2007 - Evolution & Development 9:51–68.
    The larval arms of echinoid plutei are used for locomotion and feeding. They are composed of internal calcite skeletal rods covered by an ectoderm layer bearing a ciliary band. Skeletogenesis includes an autonomous molecular differentiation program in primary mesenchyme cells (PMCs), initiated when PMCs leave the vegetal plate for the blastocoel, and a patterning of the differentiated skeletal units that requires molecular cues from the overlaying ectoderm. The arms represent a larval feature that arose in the echinoid lineage during the (...)
     
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  3.  5
    How gene expression in fast‐proliferating cells keeps pace.Rui G. Martinho, Leonardo G. Guilgur & Pedro Prudêncio - 2015 - Bioessays 37 (5):514-524.
    The development of living organisms requires a precise coordination of all basic cellular processes, in space and time. Early embryogenesis of most species with externally deposited eggs starts with a series of extremely fast cleavage cycles. These divisions have a strong influence on gene expression as mitosis represses transcription and pre‐mRNA processing. In this review, we will describe the distinct adaptations for efficient gene expression and discuss the emerging role of the multifunctional NineTeen Complex (NTC) in (...)
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  4.  14
    Gene expression and the evolution of insect polyphenisms†.Jay D. Evans & Diana E. Wheeler - 2001 - Bioessays 23 (1):62-68.
    Polyphenic differences between individuals arise not through differences at the genome level but as a result of specific cues received during development. Polyphenisms often involve entire suites of characters, as shown dramatically by the polyphenic castes found in many social insect colonies. An understanding of the genetic architecture behind polyphenisms provides a novel means of studying the interplay between genomes, gene expression and phenotypes. Here we discuss polyphenisms and molecular genetic tools now available to unravel their developmental bases (...)
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  5.  15
    Stochastic gene expression, disruption of tissue averaging effects and cancer as a disease of development.Jean-Pascal Capp - 2005 - Bioessays 27 (12):1277-1285.
    Despite the extensive literature describing the somatic genetic alterations in cancer cells, the precise origins of cancer cells remain controversial. In this article, I suggest that the etiology of cancer and the generation of genetic instability in cancer cells should be considered in the light of recent findings on both the stochastic nature of gene expression and its regulation at tissue level. By postulating that gene expression is intrinsically probabilistic and that stabilization of gene (...) arises by cellular interactions in “morphogenetic fields”, development and cellular differentiation can be rethought in an evolutionary perspective. In particular, this article proposes that disruptions of cellular interactions are the initial source of abnormal gene expression in cancer cells. Consequently, cancer phenotypes such as genetic and epigenetic instabilities, and also the presence of cells with stem cell‐like properties, may result from inaccurate and aberrant patterns of gene expression generated by microenvironmental alterations. Finally, the therapeutic implications of this view are discussed. BioEssays 27:1277–1285, 2005. © 2005 Wiley Periodicals, Inc. (shrink)
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  6.  24
    Temperature‐controlled Rhythmic Gene Expression in Endothermic Mammals: All Diurnal Rhythms are Equal, but Some are Circadian.Marco Preußner & Florian Heyd - 2018 - Bioessays 40 (7):1700216.
    The circadian clock is a cell autonomous oscillator that controls many aspects of physiology through generating rhythmic gene expression in a time of day dependent manner. In addition, in endothermic mammals body temperature cycles contribute to rhythmic gene expression. These body temperature‐controlled rhythms are hard to distinguish from classic circadian rhythms if analyzed in vivo in endothermic organisms. However, they do not fulfill all criteria of being circadian if analyzed in cell culture or in conditions where (...)
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  7.  3
    Monoallelic gene expression and mammalian evolution.Barry Keverne - 2009 - Bioessays 31 (12):1318-1326.
    Monoallelic gene expression has played a significant role in the evolution of mammals enabling the expansion of a vast repertoire of olfactory receptor types and providing increased sensitivity and diversity. Monoallelic expression of immune receptor genes has also increased diversity for antigen recognition, while the same mechanism that marks a single allele for preferential rearrangement also provides a distinguishing feature for directing hypermutations. Random monoallelic expression of the X chromosome is necessary to balance gene dosage (...)
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  8.  6
    Stochastic gene expression stabilization as a new therapeutic strategy for cancer.Jean-Pascal Capp - 2012 - Bioessays 34 (3):170-173.
    Graphical AbstractCurrent differentiation therapies for cancer may not be effective because it might not be enough to only use molecules targeting chromatin remodelers. It may also be necessary to stabilize the re-expressed genes to convert malignant cells into benign ones.
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  9.  5
    New genes expressed in human brains: Implications for annotating evolving genomes.Yong E. Zhang, Patrick Landback, Maria Vibranovski & Manyuan Long - 2012 - Bioessays 34 (11):982-991.
    New genes have frequently formed and spread to fixation in a wide variety of organisms, constituting abundant sets of lineage‐specific genes. It was recently reported that an excess of primate‐specific and human‐specific genes were upregulated in the brains of fetuses and infants, and especially in the prefrontal cortex, which is involved in cognition. These findings reveal the prevalent addition of new genetic components to the transcriptome of the human brain. More generally, these findings suggest that genomes are continually evolving in (...)
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  10.  10
    Gene expression and the concept of the phenotype.Ohad Nachtomy, Ayelet Shavit & Zohar Yakhini - 2007 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 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 (...)
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  11.  10
    White gene expression, repressive chromatin domains and homeotic gene regulation in Drosophila.Vincenzo Pirrotta & Luca Rastelli - 1994 - Bioessays 16 (8):549-556.
    The use of Drosophila chromosomal rearrangements and transposon constructs involving the white gene reveals the existence of repressive chromatin domains that can spread over considerable genomic distances. One such type of domain is found in heterochromatin and is responsible for classical position‐effect variegation. Another type of repressive domain is established, beginning at specific sequences, by complexes of Polycomb Group proteins. Such complexes, which normally regulate the expression of many genes, including the homeotic loci, are responsible for silencing, white (...)
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  12.  22
    Gene expression and the evolution of insect polyphenisms.Jay D. Evans & Diana E. Wheeler - 2001 - Bioessays 23 (1):62-68.
    Polyphenic differences between individuals arise not through differences at the genome level but as a result of specific cues received during development. Polyphenisms often involve entire suites of characters, as shown dramatically by the polyphenic castes found in many social insect colonies. An understanding of the genetic architecture behind polyphenisms provides a novel means of studying the interplay between genomes, gene expression and phenotypes. Here we discuss polyphenisms and molecular genetic tools now available to unravel their developmental bases (...)
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  13.  5
    Gene expression, cellular diversification and tumor progression to the metastatic phenotype.Garth L. Nicolson - 1991 - Bioessays 13 (7):337-342.
    Alterations in the expression of certain genes or in their products can render benign tumor cells metastatic. Experimentally this has been quickly performed by transferring dominantly acting oncogenes such as c‐H‐rasEJ into susceptible cells, but in vivo such a rapid qualitative change in a dominantly acting oncogene occurs only rarely, and progression to highly metastatic phenotypes is thought to occur through a slow stepwise process. Such slow changes can be reversible and need not involve known dominantly acting oncogenes, consistent (...)
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  14.  5
    Gene expression during metamorphosis: An ideal model for post‐embryonic development.Jamshed R. Tata - 1993 - Bioessays 15 (4):239-248.
    The precocious induction in vivo and in culture of insect and amphibian metamorphosis by exogenous ecdysteroids and thyroid hormones, and its retardation or inhibition by juvenile hormone and prolactin, respectively, has allowed the analysis of such diverse processes of post‐embryonic development as morphogenesis, tissue remodelling, functional reorganization, and programmed cell death. Metamorphosis in vertebrates also shares many similarities with mammalian development in the late foetal and perinatal period. This review describes the regulation of expression of some of the ‘adult’ (...)
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  15.  57
    Gene Expression in the Hippocampus in a Rat Model of Premenstrual Dysphoric Disorder After Treatment With Baixiangdan Capsules.Sheng Wei, Peng Sun, Yinghui Guo, Jingxuan Chen, Jieqiong Wang, Chunhong Song, Zifa Li, Ling Xue & Mingqi Qiao - 2018 - Frontiers in Psychology 9.
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  16.  21
    Gene expression and the concept of the phenotype.Ohad Nachtomy, Ayelet Shavit & Zohar Yakhini - 2005 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 38 (1):238-254.
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  17.  10
    Serial analysis of gene expression: ESTs get smaller.Mark D. Adams - 1996 - Bioessays 18 (4):261-262.
    Measuring gene expression on a global scale has been one of the vexing problems of cell biology. Velculescu et al.(1) recently proposed a system for identifying gene expression levels based on very short sequence tags – about nine base pairs – located at a specific site within a gene transcript. By coupling the strategy to current automated sequencing machines and the large expressed sequence tag databases, it should be possible to follow changes in gene (...)
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  18.  3
    Introns and gene expression: Cellular constraints, transcriptional regulation, and evolutionary consequences.Patricia Heyn, Alex T. Kalinka, Pavel Tomancak & Karla M. Neugebauer - 2015 - Bioessays 37 (2):148-154.
    A gene's “expression profile” denotes the number of transcripts present relative to all other transcripts. The overall rate of transcript production is determined by transcription and RNA processing rates. While the speed of elongating RNA polymerase II has been characterized for many different genes and organisms, gene‐architectural features – primarily the number and length of exons and introns – have recently emerged as important regulatory players. Several new studies indicate that rapidly cycling cells constrain gene‐architecture toward (...)
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  19.  3
    Clocked gene expression in somite formation.Claudio D. Stern & Daniel Vasiliauskas - 1998 - Bioessays 20 (7):528-531.
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  20.  4
    Idiomatic (gene) expressions.Matthew V. Rockman - 2003 - Bioessays 25 (5):421-424.
    Hidden among the myriad nucleotide variants that constitute each species' gene pool are a few variants that contribute to phenotypic variation. Many of these differences that make a difference are non‐coding cis‐regulatory variants, which, unlike coding variants, can only be identified through laborious experimental analysis. Recently, Cowles et al.1 described a screening method that does an end‐run around this problem by searching for genes whose cis regulation varies without having to find the polymorphic nucleotides that influence transcription. While we (...)
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  21.  4
    Genome analysis with gene expression microarrays.Mark Schena - 1996 - Bioessays 18 (5):427-431.
    Advances in biochemistry, chemistry and engineering have enabled the development of a new gene expression assay. This ‘chip‐based’ approach utilizes microscopic arrays of cDNAs printed on glass as high‐density hybridization targets. Fluorescent probe mixtures derived from total cellular messenger RNA (mRNA) hybridize to cognate elements on the array, allowing accurate measurement of the expression of the corresponding genes. Array densities of >1,000 cDNAs per cm2 enable quantitative expression monitoring of a large number of genes in a (...)
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  22.  5
    Serial analysis of gene expression (SAGE): unraveling the bioinformatics tools.Renu Tuteja & Narendra Tuteja - 2004 - Bioessays 26 (8):916-922.
    Serial analysis of gene expression (SAGE) is a powerful technique that can be used for global analysis of gene expression. Its chief advantage over other methods is that it does not require prior knowledge of the genes of interest and provides qualitative and quantitative data of potentially every transcribed sequence in a particular cell or tissue type. This is a technique of expression profiling, which permits simultaneous, comparative and quantitative analysis of gene‐specific, 9‐ to (...)
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  23.  19
    Regulation of Gene Expression and Replication Initiation by Non‐Coding Transcription: A Model Based on Reshaping Nucleosome‐Depleted Regions.Julien Soudet & Françoise Stutz - 2019 - Bioessays 41 (11):1900043.
    RNA polymerase II (RNAP II) non‐coding transcription is now known to cover almost the entire eukaryotic genome, a phenomenon referred to as pervasive transcription. As a consequence, regions previously thought to be non‐transcribed are subject to the passage of RNAP II and its associated proteins for histone modification. This is the case for the nucleosome‐depleted regions (NDRs), which provide key sites of entry into the chromatin for proteins required for the initiation of coding gene transcription and DNA replication. In (...)
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  24.  6
    Control involving metabolism and Gene expression.Hans V. Westerhoff & Daniel Kahn - 1993 - 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 (...)
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  25.  8
    Induction of plant gene expression by light.William F. Thompson, L. S. Kaufman & J. C. Watson - 1985 - Bioessays 3 (4):153-159.
    Light effects on the activity of several genes have recently been exploited in studies of plant gene expression. We discuss here some examples involving nuclear genes of higher plants, with emphasis on responses mediated by the phytochrome system. Recent work has revealed considerable diversity in the responses of different genes, indicating that several different regulatory programs are probably involved. A start has been made in studies of nuclear events associated with the changes in expression. Transcriptional regulation almost (...)
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  26.  13
    Functional gene expression domains: defining the functional unit of eukaryotic gene regulation.Niall Dillon & Pierangela Sabbattini - 2000 - Bioessays 22 (7):657-665.
    The term functional domain is often used to describe the region containing the cis acting sequences that regulate a gene locus. “Strong” domain models propose that the domain is a spatially isolated entity consisting of a region of extended accessible chromatin bordered by insulators that have evolved to act as functional boundaries. However, the observation that independently regulated loci can overlap partially or completely raises questions about functional requirements for physically isolated domain structures. An alternative model, the “weak” domain (...)
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  27.  2
    Phytochrome regulation of nuclear gene expression.Jane Silverthorne & Elaine M. Tobin - 1987 - Bioessays 7 (1):18-23.
    Phytochrome is known to regulate the expression of several major nuclearencoded polypeptides at the level of transcription. Both in vivo in vitro methods are currently being used to determine the step(s) between the light activation of phytochrome and changes in gene expression.
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  28.  6
    Mitochondrial content is central to nuclear gene expression: Profound implications for human health.Rebecca Muir, Alan Diot & Joanna Poulton - 2016 - Bioessays 38 (2):150-156.
    We review a recent paper in Genome Research by Guantes et al. showing that nuclear gene expression is influenced by the bioenergetic status of the mitochondria. The amount of energy that mitochondria make available for gene expression varies considerably. It depends on: the energetic demands of the tissue; the mitochondrial DNA (mtDNA) mutant load; the number of mitochondria; stressors present in the cell. Hence, when failing mitochondria place the cell in energy crisis there are major effects (...)
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  29.  22
    DNA Conformation Regulates Gene Expression: The MYC Promoter and Beyond.Olga Zaytseva & Leonie M. Quinn - 2018 - Bioessays 40 (4):1700235.
    Emerging evidence suggests that DNA topology plays an instructive role in cell fate control through regulation of gene expression. Transcription produces torsional stress, and the resultant supercoiling of the DNA molecule generates an array of secondary structures. In turn, local DNA architecture is harnessed by the cell, acting within sensory feedback mechanisms to mediate transcriptional output. MYC is a potent oncogene, which is upregulated in the majority of cancers; thus numerous studies have focused on detailed understanding of its (...)
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  30.  3
    Regulation of mammalian gene expression by retroelements and non‐coding tandem repeats.Nikolai V. Tomilin - 2008 - Bioessays 30 (4):338-348.
    Genomes of higher eukaryotes contain abundant non‐coding repeated sequences whose overall biological impact is unclear. They comprise two categories. The first consists of retrotransposon‐derived elements. These are three major families of retroelements (LINEs, SINEs and LTRs). SINEs are clustered in gene‐rich regions and are found in promoters of genes while LINEs are concentrated in gene‐poor regions and are depleted from promoters. The second class consists of non‐coding tandem repeats (satellite DNAs and TTAGGG arrays), which are associated with mammalian (...)
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  31.  4
    Activation of mammalian gene expression by the UV component of sunlight – from models to reality.Rex M. Tyrrell - 1996 - Bioessays 18 (2):139-148.
    Ultraviolet radiation activates the expression of a wide variety of genes, by pathways which differ between the short non‐solar ultraviolet C (UVC) wavelengths, which are strongly absorbed by nucleic acids, and the long solar ultraviolet A (UVA, 320–380 nm) wavelengths, which generate active oxygen intermediates. Intermediate solar ultraviolet (UV) wavelengths in the UVB (290–320 nm) range also contain an oxidative component, but more closely resemble UVC in their gene activating properties. Short wavelength UV, in common with other extracellular (...)
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  32.  1
    Roots: Molecular basis of gene expression: Origins from the Pajama experiment.Arthur B. Pardee - 1985 - Bioessays 2 (2):86-89.
    The Pajama (Pardee, Jacob, Monod) experiment provided a breakthrough in our understanding of the molecular mechanisms by which gene expression is regulated. Today, twenty‐five years later it provides a paradigm for thinking about problems of gene expression, such as growth regulation and differentiation. From this experiment emerged entities such as repressors, regulatory genes, the operon as a group of jointly controlled genes, and messenger RNA.
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  33.  8
    On gene expression patterns in mammalian hibernation.Katharine M. Brauch - 2008 - Bioessays 30 (9):920-920.
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  34.  2
    Stochastic gene expression is the driving force of cancer.Jean-Pascal Capp - 2011 - Bioessays 33 (10):781-782.
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  35.  45
    Genome evolution is driven by gene expression-generated biophysical constraints through RNA-directed genetic variation: A hypothesis.Didier Auboeuf - 2017 - Bioessays 39 (10):1700069.
    The biogenesis of RNAs and proteins is a threat to the cell. Indeed, the act of transcription and nascent RNAs challenge DNA stability. Both RNAs and nascent proteins can also initiate the formation of toxic aggregates because of their physicochemical properties. In reviewing the literature, I show that co-transcriptional and co-translational biophysical constraints can trigger DNA instability that in turn increases the likelihood that sequences that alleviate the constraints emerge over evolutionary time. These directed genetic variations rely on the biogenesis (...)
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  36.  3
    Lens development and crystallin gene expression: many roles for Pax‐6.Aleš Cvekl & Joram Piatigorsky - 1996 - Bioessays 18 (8):621-630.
    The vertebrate eye lens has been used extensively as a model for developmental processes such as determination, embryonic induction, cellular differentiation, transdifferentiation and regeneration, with the crystallin genes being a prime example of developmentally controlled, tissue‐preferred gene expression. Recent studies have shown that Pax‐6, a transcription factor containing both a paired domain and homeodomain, is a key protein regulating lens determination and crystallin gene expression in the lens. The use of Pax‐6 for expression of different (...)
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  37.  4
    Modulation of gene expression by auxin.Joe L. Key - 1989 - Bioessays 11 (2-3):52-58.
    Auxin, a class of plant hormones which affects a wide array of growth and developmental processes including cell elongation and cell division, alters gene expression in a very rapid, selective, and dramatic way. The relative level of some mRNAs decreases several fold, while that of other mRNAs increases many fold. These changes are mediated, at least in some cases, by very fast (within 5–10 min) modulation by auxin of transcription as measured by run‐off transcription assays using nuclei isolated (...)
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  38. The Full Bayesian Significance Test for Mixture Models: Results in Gene Expression Clustering.Julio Michael Stern, Marcelo de Souza Lauretto & Carlos Alberto de Braganca Pereira - 2008 - Genetics and Molecular Research 7 (3):883-897.
    Gene clustering is a useful exploratory technique to group together genes with similar expression levels under distinct cell cycle phases or distinct conditions. It helps the biologist to identify potentially meaningful relationships between genes. In this study, we propose a clustering method based on multivariate normal mixture models, where the number of clusters is predicted via sequential hypothesis tests: at each step, the method considers a mixture model of m components (m = 2 in the first step) and (...)
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  39.  7
    Hues of American agrarianism.Gene Wunderlich - 2000 - Agriculture and Human Values 17 (2):191-197.
    Agrarianism in America assumes manyforms, in part because of the varied sources ofruralistic values, some evolving from times beforenationhood. Views expressed are sometimes anti-city,other times pro-rural. The Jeffersonian perspective isrevealed in three forms, two by historians, one by aphilosopher. They agree that Jefferson was animportant figure in America's land system, but theydiffer markedly in their uses of Jeffersonian valuesabout agriculture, land, and rural life. The essayconcludes with a basis for “new agrarianism” basedmore on land than agriculture as enterprise.
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  40.  1
    X‐linked gene expression and sex determination in Caenorhabditis elegans.Philip M. Meneely - 1990 - Bioessays 12 (11):513-518.
    The signal for sex determination in the nematode Caenorhabditis elegans is the ratio between the number of × chromosomes and the number of sets of autosomes (the X/A ratio). Animals with an X/A ratio of 0.67 (a triploid with two × chromosomes) or less are males. Animals with an X/A ratio of 0.75 or more are hermaphrodites. Thus, diploid males have one × chromosome and diploid hermaphrodites have two × chromosomes. However, the difference in X‐chromosome number between the sexes is (...)
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  41.  2
    The kinetics of mammalian gene expression.James L. Hargrove, Martin G. Hulsey & Elmus G. Beale - 1991 - Bioessays 13 (12):667-674.
    When rates of transcription from specific genes change, delays of variable length intervene before the corresponding mRNAs and proteins attain new levels. For most mammalian genes, the time required to complete transcription, processing, and transport of mRNA is much shorter than the period needed to achieve a new, steady‐state level of protein. Studies of inducible genes have shown that the period required to attain new levels of individual mRNAs and proteins is related to their unique half‐lives. The basis for this (...)
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  42.  2
    Regulation of gene expression in developing epidermal epithelia.Carolyn Byrne - 1997 - Bioessays 19 (8):691-698.
    Skin is one of the most thoroughly studied epithelia and can be used as a model for transcriptional control of epithelial differentiation. In particular, the stages of epidermal development and differentiation from a simple epithelium are well characterized. Temporal gene expression during development can be used to assign roles for transcription factors in epidermal differentiation. Approaches to understanding transcriptional regulation in epidermis include extensive promoter analysis and expression studies, in some cases coupled to functional studies. This work (...)
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  43.  6
    Regulation of mitochondrial gene expression in Trypanosoma brucei.Kenneth D. Stuart - 1987 - Bioessays 6 (4):178-181.
    Trypanosoma brucei mitochondria contain unusual small circular DNAs of unknown function. These are catenated with a long informational DNA sequence containing genes homologous to those found in other mitochondria. Although these genes are transcribed throughout the life cycle, differential production of the mitochondrial respiratory system during the life cycle is accompanied by differential abundance of specific transcripts and differential polyadenylation of mitochondrial gene transcripts. Multiple transcripts occur for most of the mitochondrial genes. Transcripts of the apocytochrome b gene (...)
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  44.  14
    Objective and Subjective Probability in Gene Expression.Joel D. Velasco - 2012 - 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 (...)
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  45.  13
    Analysis and Research of Key Genes in Gene Expression Network Based on Complex Network.Guobin Chen, Jun Qi, Chao Tang, Ying Wang, Yongzhong Wu & Xiaolong Shi - 2020 - Complexity 2020:1-12.
    Gene expression network is also a type of complex network. It is challenging to analyze the gene expression network through relevant knowledge and algorithms of a complex network. In this paper, the existing characteristics of genes are analyzed from various indexes of the gene expression network to analyze key genes and TOP genes. Firstly, gene chip data are screened, gene data with obvious characteristics are selected, and relevant clustering characteristics are analyzed. Then, (...)
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  46.  10
    Beyond the known functions of the CCR4‐NOT complex in gene expression regulatory mechanisms.Marta Ukleja, José María Valpuesta, Andrzej Dziembowski & Jorge Cuellar - 2016 - Bioessays 38 (10):1048-1058.
    Large protein assemblies are usually the effectors of major cellular processes. The intricate cell homeostasis network is divided into numerous interconnected pathways, each controlled by a set of protein machines. One of these master regulators is the CCR4‐NOT complex, which ultimately controls protein expression levels. This multisubunit complex assembles around a scaffold platform, which enables a wide variety of well‐studied functions from mRNA synthesis to transcript decay, as well as other tasks still being identified. Solving the structure of the (...)
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  47.  10
    Mechanisms of How Random Input Controls Bursting Gene Expression.Sijia Xiao, Yan Wang, Zhigang Wang & Haohua Wang - 2022 - Complexity 2022:1-17.
    The process of gene expression is affected by many extracellular stimulus signals, and the stochasticity of these signals reshapes gene expression. To adapt the fluctuation of the extracellular environment, genes have many strategies for augmenting their survival probability, frequency modulation, and amplitude modulation. However, it is unclear how genes utilize the stochasticity of signals to regulate gene expression and which strategy will be chosen to maximize cellular function. Here, we analyze a simple mechanistic model (...)
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  48.  10
    Structural elements regulating zein gene expression.Gary A. Thompson & Brian A. Larkins - 1989 - Bioessays 10 (4):108-113.
    Zeins are a group of alcohol‐soluble proteins that are synthesized in the endosperm of developing maize seeds. These proteins are encoded by a large number of genes located on several chromosomes; based upon the number of mutants that have been isolated, zein gene regulation is complex. Comparisons of gene flanking regions reveal conserved sequences that may be important for their regulation. Studies of transformed plant tissues support the assertion that cis‐acting elements with the 5′ flanking regions of zein (...)
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  49.  7
    Disruption of daily rhythms in gene expression: The importance of being synchronised.Alun T. L. Hughes & Hugh D. Piggins - 2014 - Bioessays 36 (7):644-648.
    Extending a normal 24 hours day by four hours is unexpectedly highly disruptive to daily rhythms in gene expression in the blood. Using a paradigm in which human subjects were exposed to a 28 hours day, Archer and colleagues show how this sleep‐altering forced desynchrony protocol caused complex disruption to daily rhythms in distinct groups of genes. Such perturbations in the temporal organisation of the blood transcriptome arise quickly, and point to the fragile nature of coordinated genomic activity. (...)
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  50.  10
    Genome‐wide approaches to the study of adaptive gene expression evolution.Hunter B. Fraser - 2011 - Bioessays 33 (6):469-477.
    The role of gene expression in evolutionary adaptation has been a subject of debate for over 40 years.cis‐regulation of transcription has been proposed to be the primary source of morphological novelty in evolution, though this is based on only a handful of examples. Recently the first genome‐wide studies of gene expression adaptation have been published, giving us an initial global view of this process. Systematic studies such as these will allow a number of key questions currently (...)
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