85 research outputs found

    Dimensions of Copeland-Erdos Sequences

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    The base-kk {\em Copeland-Erd\"os sequence} given by an infinite set AA of positive integers is the infinite sequence \CE_k(A) formed by concatenating the base-kk representations of the elements of AA in numerical order. This paper concerns the following four quantities. The {\em finite-state dimension} \dimfs (\CE_k(A)), a finite-state version of classical Hausdorff dimension introduced in 2001. The {\em finite-state strong dimension} \Dimfs(\CE_k(A)), a finite-state version of classical packing dimension introduced in 2004. This is a dual of \dimfs(\CE_k(A)) satisfying \Dimfs(\CE_k(A)) \geq \dimfs(\CE_k(A)). The {\em zeta-dimension} \Dimzeta(A), a kind of discrete fractal dimension discovered many times over the past few decades. The {\em lower zeta-dimension} \dimzeta(A), a dual of \Dimzeta(A) satisfying \dimzeta(A)\leq \Dimzeta(A). We prove the following. \dimfs(\CE_k(A))\geq \dimzeta(A). This extends the 1946 proof by Copeland and Erd\"os that the sequence \CE_k(\mathrm{PRIMES}) is Borel normal. \Dimfs(\CE_k(A))\geq \Dimzeta(A). These bounds are tight in the strong sense that these four quantities can have (simultaneously) any four values in [0,1][0,1] satisfying the four above-mentioned inequalities.Comment: 19 page

    Dimensions of Copeland-Erdos Sequences

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    The base-k Copeland-Erdös sequence given by an infinite set A of positive integers is the infinite sequence CEk(A) formed by concatenating the base-k representations of the elements of A in numerical order. This paper concerns the following four quantities. • The finite-state dimension dimFS(CEk(A)), a finite-state version of classical Hausdorff dimension introduced in 2001. • The finite-state strong dimension DimFS(CEk(A)), a finite-state version of classical packing dimension introduced in 2004. This is a dual of dimFS(CEk(A)) satisfying DimFS(CEk(A)) ≥ dimFS(CEk(A)). • The zeta-dimension Dimζ(A), a kind of discrete fractal dimension discovered many times over the past few decades. • The lower zeta-dimension dimζ(A), a dual of Dimζ(A) satisfying dimζ(A) ≤ Dimζ(A). We prove the following. 1. dimFS(CEk(A)) ≥ dimζ(A). This extends the 1946 proof by Copeland and Erdös that the sequence CEk(PRIMES) is Borel normal. 2. DimFS(CEk(A)) ≥ Dimζ(A). 3. These bounds are tight in the strong sense that these four quantities can have (simultane-ously) any four values in [0, 1] satisfying the four above-mentioned inequalities

    The nuclear envelope as a chromatin organizer

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    In the past 15 years our perception of nuclear envelope function has evolved perhaps nearly as much as the nuclear envelope itself evolved in the last 3 billion years. Historically viewed as little more than a diffusion barrier between the cytoplasm and the nucleoplasm, the nuclear envelope is now known to have roles in the cell cycle, cytoskeletal stability and cell migration, genome architecture, epigenetics, regulation of transcription, splicing and DNA replication. Here we will review both what is known and what is speculated about the role of the nuclear envelope in genome organization, particularly with respect to the positioning and repositioning of genes and chromosomes within the nucleus during differentiation

    Signalling entropy: A novel network-theoretical framework for systems analysis and interpretation of functional omic data

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    a b s t r a c t A key challenge in systems biology is the elucidation of the underlying principles, or fundamental laws, which determine the cellular phenotype. Understanding how these fundamental principles are altered in diseases like cancer is important for translating basic scientific knowledge into clinical advances. While significant progress is being made, with the identification of novel drug targets and treatments by means of systems biological methods, our fundamental systems level understanding of why certain treatments succeed and others fail is still lacking. We here advocate a novel methodological framework for systems analysis and interpretation of molecular omic data, which is based on statistical mechanical principles. Specifically, we propose the notion of cellular signalling entropy (or uncertainty), as a novel means of analysing and interpreting omic data, and more fundamentally, as a means of elucidating systems-level principles underlying basic biology and disease. We describe the power of signalling entropy to discriminate cells according to differentiation potential and cancer status. We further argue the case for an empirical cellular entropy-robustness correlation theorem and demonstrate its existence in cancer cell line drug sensitivity data. Specifically, we find that high signalling entropy correlates with drug resistance and further describe how entropy could be used to identify the achilles heels of cancer cells. In summary, signalling entropy is a deep and powerful concept, based on rigorous statistical mechanical principles, which, with improved data quality and coverage, will allow a much deeper understanding of the systems biological principles underlying normal and disease physiology

    Advances in Microbial Fermentation Processes

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    This book covedered high-quality contributions (original research articles or review papers) providing a picture on innovations in microbial fermentative processes, including improvements of quality/safety of fermented foods and beverages, production of high added-values products, and valorization/recovery of agro-food wastes

    Analysis of Gene Targeting Techniques for Huntington’s Disease and Gene Expression in Human Cells

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    Gemstone Team CHANGEHuntington’s disease (HD) is an inherited neurodegenerative disorder that is caused by a CAG trinucleotide repeat expansion in the huntingtin (HTT) gene. Our team performed a literature analysis to investigate the current state of research for treating HD and identified a new technology called prime editing that could be applied to HD in combination with single nucleotide polymorphisms (SNPs). We found that at least 729 SNPs within the HTT gene are compatible with our proposed approach. Experimentally, we performed preliminary studies using Western Blots and RT-qPCR to examine the differences in expression of HTT in a variety of cell lines. Our literature-based work suggests that prime editing is a promising tool for addressing the basis of a variety of genetic disorders. Our experimental-based work confirms that human fibroblast cells express HTT and therefore may be used in proof of concept studies of gene targeting techniques to address HD

    DISPERSAL, GENETIC STRUCTURE, NETWORK CONNECTIVITY AND CONSERVATION OF AN AT-RISK, LARGE-LANDSCAPE SPECIES

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    Wide-ranging species face many threats to genetic connectivity. In light of these threats, one major challenge is the efficient use of scarce resources for the conservation of these species. Setting conservation priorities for landscapes and connectivity can be informed using molecular genetics, and can ensure the efficient use of scare resources to maximize returns in biodiversity conservation. The greater sage-grouse (Centrocercus urophasianus; hereafter sage grouse) is a species of conservation concern that spans eleven state boundaries, land managed by multiple agencies, and one international boundary. Across the species’ distribution, the threats to the genetic connectivity range from agricultural conversion to energy development, to catastrophic wildfire. In order to prioritize management as threats loom, there is considerable interest in gaining insight into the species’ population genetic substructure, dispersal capabilities, and range-wide genetic connectivity. The insights gained and be used to prioritize management efforts to preserve or restore genetic diversity and connectivity. This dissertation is composed of an investigation of population genetic substructure, breeding season dispersal, and the characterization of a range-wide genetic network for conservation prioritization. Limitations in greater sage-grouse dispersal have resulted in the existence of five subpopulations across the northeastern range of the species, none of which appears to be genetically isolated. The genetic structure discovered appears to have been shaped by the natural landscape and ecological features. However, recent disturbances associated with human alteration of the landscape may have increased subpopulation divergence. Existing state conservation areas align well with genetic subpopulation structure allowing straightforward translation of management planning to the conservation of genetic diversity and connectivity. Simulation-based evaluation of the analytical methods used to detect subpopulation structure provided insight into interpretation of the evolutionary history of subpopulation divergence. While many individuals remained philopatric to the same breeding sites (leks) year after year, more individuals dispersed to alternate leks. Evidence for sex-biased dispersal did not exist: either in tendency to disperse nor in distances traveled. Dispersal appears costly, as there was a greater occurrence of mortality among farther dispersing individuals. Individuals dispersed within, into and out of designated conservation areas, providing additional evidence that these areas are not isolated. Breeding dispersal likely counteracts the effect of philopatry, fostering gene flow. Using network theory, I characterized the patterns of range-wide genetic connectivity among spring breeding congregations (leks), finding that connectivity is greatest among neighboring leks. The entire network is connected such that there are no isolated subunits. Hubs of genetic connectivity exist, evidenced by increased measures of both local and global network centrality, indicative of their importance to maintaining gene flow across the entire species’ iv range. These high-centrality hubs are centrally located within the species’ distribution, with concentrations within the Upper Snake River Basin of Idaho and the Green River Basin of Wyoming. Conservation efforts to protect these areas could prove essential to securing range-wide genetic connectivity into the future. Overall, this research provides insight into how to use molecular genetic analyses of substructure, dispersal, and connectivity of a continuously distributed species across a vast landscape to inform management and prioritize conservation actions

    Gene Editing in pig models of inherited retinal diseases

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