Results for 'Gene clustering'

979 found
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  1.  21
    Why are Hox genes clustered?Richard S. Mann - 1997 - Bioessays 19 (8):661-664.
    The evolutionarily conserved genomic organization of the Hox genes has been a puzzle ever since it was discovered that their order along the chromosome is similar to the order of their functional domains along the antero‐posterior axis. Why has this colinearity been maintained throughout evolution? A close look at regulatory sequences from the mouse Hox clusters(1,2) suggests that enhancer sharing between adjacent Hox genes may be one reason. Moreover, characterizing the activity of one of these mouse enhancers in Drosophila(2) illustrates (...)
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  2.  20
    Gene clusters and polycistronic transcription in eukaryotes.Thomas Blumenthal - 1998 - Bioessays 20 (6):480-487.
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  3.  13
    Personality and Its Partisan Political Correlates Predict U.S. State Differences in Covid-19 Policies and Mask Wearing Percentages.Gene M. Heyman - 2021 - Frontiers in Psychology 12.
    A central feature of the Covid-19 pandemic is state differences. Some state Governors closed all but essential businesses, others did not. In some states, most of the population wore face coverings when in public; in other states, <50% wore face coverings. According to journalists, these differences were symptomatic of a politically polarized America. The Big 5 personality factors also cluster at the state level. For example, residents of Utah score high on Conscientiousness and low on Neuroticism, whereas residents of Massachusetts (...)
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  4. 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) (...)
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  5.  26
    Contemporary Philosophy of Art: Readings in Analytic Aesthetics.John W. Bender & Gene Blocker (eds.) - 1993 - Pearson College Division.
    An anthology of contemporary readings in analytic aesthetics, this reference reflects the relationships among the central aesthetic concerns of recent years. Providing a new perspective on the contemporary philosophy of art, this volume examines the challenge of Postmodernism and how it may or may not affect the future of analytic aesthetics... offers a case study of the progress that has been made in handling the problem of expression in the arts... reconceptualizes the concepts of the art work, its properties, and (...)
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  6.  20
    What the papers say: Promoter choice within a gene cluster: A switch of loyalties.Emma Whitelaw - 1990 - Bioessays 12 (6):283-285.
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  7.  41
    Identifying patterns in primary care consultations: a cluster analysis.Joachim P. Sturmberg, Eu-Gene Siew, Leonid Churilov & Kate Smith-Miles - 2009 - Journal of Evaluation in Clinical Practice 15 (3):558-564.
  8. Genes and family environment in familial clustering of cancer.Knut Borch-Johnsen, Jørgen H. Olsen & Thorkild I. A. Sørensen - 1994 - Theoretical Medicine and Bioethics 15 (4).
    Familial clustering of a disease is defined as the occurrence of the disease within some families in excess of what would be expected from the occurrence in the population. It has been demonstrated for several cancer types, ranging from rare cancers as the adenomatosis-coli-associated colon cancer or the Li-Fraumeni syndrome to more common cancers as breast cancer and colon cancer. Familial clustering, however, is merely an epidemiological pattern, and it does not tell whether genetic or environmental causes or (...)
     
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  9.  28
    A cluster translocation model may explain the collinearity of Hox gene expressions.Spyros Papageorgiou - 2004 - Bioessays 26 (2):189-195.
    A model is proposed that deals with the observed collinearities (spatial, temporal and quantitative) of Hox gene expression during pattern formation along the primary and secondary axes of vertebrates. In particular, in the proximodistal axis of the developing limb, it is assumed that a morphogen gradient is laid down with its source at the distal tip of the bud. The extracellular signals in every cell of the morphogenetic field are transduced and uniformly amplified so that molecules are produced in (...)
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  10.  9
    A cluster of Drosophila homeobox genes involved in mesoderm differentiation programs.Krzysztof Jagla, Maria Bellard & Manfred Frasch - 2001 - Bioessays 23 (2):125-133.
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  11.  84
    Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis.Ling-Yun Dai, Rong Zhu & Juan Wang - 2020 - Complexity 2020:1-10.
    The explosion of multiomics data poses new challenges to existing data mining methods. Joint analysis of multiomics data can make the best of the complementary information that is provided by different types of data. Therefore, they can more accurately explore the biological mechanism of diseases. In this article, two forms of joint nonnegative matrix factorization based on the sparse and graph Laplacian regularization method are proposed. In the method, the graph regularization constraint can preserve the local geometric structure of data. (...)
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  12.  20
    Applying Wave Processing Techniques to Clustering of Gene Expressions.P. D. O'Neill, G. D. Magoulas & X. Liu - 2006 - Journal of Intelligent Systems 15 (1-4):107-128.
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  13.  26
    Widespread organisation of C. elegans genes into operons: Fact or function?Rachael Nimmo & Alison Woollard - 2002 - Bioessays 24 (11):983-987.
    A recent report by Blumenthal et al.1 provides convincing evidence that at least 15% of Caenorhabditis elegans genes are co‐transcribed within over a thousand operons. Polycistronic transcription of gene clusters is very rare in eukaryotes. The widespread occurrence of operons in C. elegans thus raises some interesting questions about the origin and function of these multigenic transcriptional units. BioEssays 24:983–987, 2002. © 2002 Wiley‐Periodicals, Inc.
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  14.  17
    Drosophila chorion genes: Cracking the eggshell's secrets.Terry L. Orr-Weaver - 1991 - Bioessays 13 (3):97-105.
    The chorion genes of Drosophila are amplified in response to developmental signals in the follicle cells of the ovary prior to their transcription. Their expression is regulated both temporally and spatially within this tissue. They thus serve as models both for the regulation of DNA replication and of developmental transcription. The regulatory elements for DNA amplification have been delineated. Their analysis reveals that amplification is mediated by several regulatory regions and initiates at defined origins within the chorion cluster. Proteins involved (...)
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  15.  32
    fushi tarazu: A Hox gene changes its role.Wim G. M. Damen - 2002 - Bioessays 24 (11):992-995.
    The Hox genes play a role in anteroposterior axis specification of bilaterian animals that has been conserved for more than 600 million years. However, some of these genes have occasionally changed their roles in evolution. For example, the insect gene fushi tarazu (ftz), although localised in the Hox cluster, no longer acts as a Hox gene, but is involved in segmentation and nervous system development. Recent data of Mouchel‐Vielh et al.,1 and Hughes and Kaufman2 on ftz homologues in (...)
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  16.  17
    Models of gene–culture evolution are incomplete without incorporating epigenetic effects.Gillian Ragsdale & Robert Andrew Foley - 2022 - Behavioral and Brain Sciences 45:e174.
    Epigenetics impacts gene–culture coevolution by amplifying phenotypic variation, including clustering, and bridging the difference in timescales between genetic and cultural evolution. The dual inheritance model described by Uchiyama et al. could be modified to provide greater explanatory power by incorporating epigenetic effects.
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  17.  19
    The effect of GeneChip gene definitions on the microarray study of cancers.Xuesong Lu & Xuegong Zhang - 2006 - Bioessays 28 (7):739-746.
    The Affymetrix GeneChip is a popular microarray platform for genome‐wide expression profiling and has been widely used in functional genomics especially in the classification of cancers. Due to the updating of genome data, much of the genome information with which the chips were designed is out‐of‐date and it has been reported that many of the genes/transcripts on the chips differ from their original definition when mapping the probes to the new genome information. Dai et al. have reported that the updated (...)
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  18.  39
    Pseudoalleles and Gene Complexes: The Search for the Elusive Link Between Genome Structure and Gene Function.Michel Morange - 2015 - Perspectives in Biology and Medicine 58 (2):196-204.
    The history of research on pseudoalleles, closely linked genes that have similar functions, is rich and complex. Because pseudoalleles’ proximity on the chromosome makes their distinction by the complementation tests traditionally used by geneticists difficult, and because they have similar functions, they were initially often considered as allelic forms of the same gene, hence their name. The Hox cluster is an emblematic example of a pseudoallelic gene complex. The first observations of pseudoalleles were made very early but remained (...)
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  19.  28
    Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm.Omar Saber Qasim, Zakariya Yahya Algamal & Sarah Ghanim Mahmood Al-Kababchee - 2023 - Journal of Intelligent Systems 32 (1).
    Data mining’s primary clustering method has several uses, including gene analysis. A set of unlabeled data is divided into clusters using data features in a clustering study, which is an unsupervised learning problem. Data in a cluster are more comparable to one another than to those in other groups. However, the number of clusters has a direct impact on how well the K-means algorithm performs. In order to find the best solutions for these real-world optimization issues, it (...)
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  20.  24
    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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  21.  19
    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, the complex (...)
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  22.  98
    The promise and peril of CRISPR gene drives.Gabriel E. Zentner & Michael J. Wade - 2017 - Bioessays 39 (10):1700109.
    Gene drives are selfish genetic elements that use a variety of mechanisms to ensure they are transmitted to subsequent generations at greater than expected frequencies. Synthetic gene drives based on the clustered regularly interspersed palindromic repeats genome editing system have been proposed as a way to alter the genetic characteristics of natural populations of organisms relevant to the goals of public health, conservation, and agriculture. Here, we review the principles and potential applications of CRISPR drives, as well as (...)
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  23.  81
    The Ethics of Genetic Cognitive Enhancement: Gene Editing or Embryo Selection?Marcelo de Araujo - 2020 - Philosophies 5 (3):20.
    Recent research with human embryos, in different parts of the world, has sparked a new debate on the ethics of genetic human enhancement. This debate, however, has mainly focused on gene-editing technologies, especially CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats). Less attention has been given to the prospect of pursuing genetic human enhancement by means of IVF (In Vitro Fertilisation) in conjunction with in vitro gametogenesis, genome-wide association studies, and embryo selection. This article examines the different ethical implications of (...)
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  24. A critical review of the ethical and legal issues in human germline gene editing: Considering human rights and a call for an African perspective.B. Shozi - 2020 - South African Journal of Bioethics and Law 13 (1):62.
    In the wake of the advent of genome editing technology CRISPR-Cas9 (clustered regularly interspaced palindromic repeat (CRISPR)-associated protein 9), there has been a global debate around the implications of manipulating the human genome. While CRISPR-based germline gene editing is new, the debate about the ethics of gene editing is not – for several decades now, scholars have debated the ethics of making heritable changes to the human genome. The arguments that have been raised both for and against the (...)
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  25.  32
    Human Flourishing in an Age of Gene Editing.Erik Parens & Josephine Johnston (eds.) - 2019 - Oxford University Press.
    International uproar followed the recent announcement of the birth of twin girls whose genomes had been edited with a breakthrough DNA editing-technology. This technology, called clustered regularly interspaced short palindrome repeats or CRISPR-Cas9, can alter any DNA, including DNA in embryos, meaning that changes can be passed to the offspring of the person that embryo becomes. Should we use gene editing technologies to change ourselves, our children, and future generations to come? The potential uses of CRISPR-Cas9 and other (...) editing technologies are unprecedented in human history. By using these technologies, we eradicate certain dreadful diseases. Altering human DNA, however, raises enormously difficult questions. Some of these questions are about safety: Can these technologies be deployed without posing an unreasonable risk of physical harm to current and future generations? Can all physical risks be adequately assessed, and responsibly managed? But gene editing technologies also raise other moral questions, which touch on deeply held, personal, cultural, and societal values: Might such technologies redefine what it means to be healthy, or normal, or cherished? Might they undermine relationships between parents and children, or exacerbate the gap between the haves and have-nots? The broadest form of this second kind of question is the focus of this book: What might gene editing--and related technologies--mean for human flourishing? In the new essays collected here, an interdisciplinary group of scholars asks age--old questions about the nature and well-being of humans in the context of a revolutionary new biotechnology--one that has the potential to change the genetic make-up of both existing people and future generations. Welcoming readers who study related issues and those not yet familiar with the formal study of bioethics, the authors of these essays open up a conversation about the ethics of gene editing. It is through this conversation that citizens can influence laws and the distribution of funding for science and medicine, that professional leaders can shape understanding and use of gene editing and related technologies by scientists, patients, and practitioners, and that individuals can make decisions about their own lives and the lives of their families. (shrink)
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  26.  69
    Informed consent and community engagement in open field research: lessons for gene drive science.Jerome Amir Singh - 2019 - BMC Medical Ethics 20 (1):54.
    The development of the CRISPR/Cas9 gene editing system has generated new possibilities for the use of gene drive constructs to reduce or suppress mosquito populations to levels that do not support disease transmission. Despite this prospect, social resistance to genetically modified organisms remains high. Gene drive open field research thus raises important questions regarding what is owed to those who may not consent to such research, or those could be affected by the proposed research, but whose consent (...)
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  27.  39
    (2 other versions)Measure and representation of the genetic similarity between populations by the percentage of isoactive genes.Alicia Sánchez-Mazas, Laurent Excoffier & André Langaney - 1986 - Theoria 2 (1):143-154.
    A similarity index allowing comparisons of human populations has been defined as the common “Percentage of Isoactive Genes” or PIG, which can be calculated from any gene frequency distribution characterizing two populations. The complement to one of this value has been proved to be a distance, a measure which can be used in most techniques of cluster analysis as well as in usual representations of multivariated data (dendrograms, etc...). Furthermore, the formula can be generalized to a set of populations. (...)
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  28.  27
    Lethal chromosomal deletions in the mouse, a model system for the study of development and regulation of postnatal gene expression.Salome Gluecksohn-Waelsch & Donald Defranco - 1991 - Bioessays 13 (11):557-561.
    Mechanisms involved in the regulation of development and its genetic control are receiving ever‐increasing attention in studies of mammalian developmental genetics. The potential success of such studies is strongly enhanced by the availability of suitable systems of analysis. Such a system was identified in a series of radiation‐induced chromosomal deletions at and around the albino (c) locus of the mouse associated with cell type‐specific effects on liver differentiation. Their detailed study has aided the analysis of possible machanisms of cell type‐specific (...)
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  29.  27
    Do repeated arrays of regulatory small‐RNA genes elicit genomic imprinting?Stéphane Labialle & Jérôme Cavaillé - 2011 - Bioessays 33 (8):565-573.
    The basic premise of the host‐defense theory is that genomic imprinting, the parent‐of‐origin expression of a subset of mammalian genes, derives from mechanisms originally dedicated to silencing repeated and retroviral‐like sequences that deeply colonized mammalian genomes. We propose that large clusters of tandemly‐repeated C/D‐box small nucleolar RNAs (snoRNAs) or microRNAs represent a novel category of sequences recognized as “genomic parasites”, contributing to the emergence of genomic imprinting in a subset of chromosomal regions that contain them. Such a view is supported (...)
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  30.  28
    Expression patterns of mouse hox genes: Clues to an understanding of developmental and evolutionary strategies.Stephen J. Gaunt - 1991 - Bioessays 13 (10):505-513.
    Expression patterns of Antennapedia‐like homeogenes in the mouse embryo show many similarities to those of their homologues in Drosophila. It is argued here that homeogenes may regulate development of the body plan in mouse by mechanisms similar to those used in Drosophila. In particular, they may differentially specify positional address of cell groups within lineage compartments along the body axes. In vertebrates, a single ancestral homeogene cluster has become duplicated to give four separate clusters. Comparisons of homeogene expression patterns between (...)
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  31.  28
    Understanding fundamental principles of enhancer biology at a model locus.Mira Kassouf, Seren Ford, Joseph Blayney & Doug Higgs - 2023 - Bioessays 45 (10):2300047.
    Despite ever‐increasing accumulation of genomic data, the fundamental question of how individual genes are switched on during development, lineage‐specification and differentiation is not fully answered. It is widely accepted that this involves the interaction between at least three fundamental regulatory elements: enhancers, promoters and insulators. Enhancers contain transcription factor binding sites which are bound by transcription factors (TFs) and co‐factors expressed during cell fate decisions and maintain imposed patterns of activation, at least in part, via their epigenetic modification. This information (...)
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  32.  33
    Mosaic evolution in the Drosophila genome.Christopher H. Martin & Elliot M. Meyerowitz - 1988 - Bioessays 9 (2‐3):65-69.
    Investigation of the evolution of the DNA sequences that comprise a small gene cluster in five closely related species of Drosophila shows that it evolves as a mosaic, with adjacent subregions displaying very different rates and types of evolution. It appears that local differences in the influence of selectional and mutational forces result in the formation of these distinct subregions.
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  33.  29
    The circadian clock of cyanobacteria.Takao Kondo & Masahiro Ishiura - 2000 - Bioessays 22 (1):10-15.
    A circadian clock, with physiological characteristics similar to those of eukaryotes, functions in the photosynthetic prokaryote, cyanobacteria. The molecular mechanism of this clock has been efficiently dissected using a luciferase reporter gene that reports the status of the clock. A circadian clock gene cluster, kaiABC, has been cloned via rhythm mutants of cyanobacterium, Synechococcus, and many clock mutations mapped to the three kai genes. Although kai genes do not share any homology with clock genes so far identified in (...)
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  34.  35
    Vertebrate genome evolution: a slow shuffle or a big bang?Nick G. C. Smith, Robert Knight & Laurence D. Hurst - 1999 - Bioessays 21 (8):697-703.
    In vertebrates it is often found that if one considers a group of genes clustered on a certain chromosome, then the homologues of those genes often form another cluster on a different chromosome. There are four explanations, not necessarily mutually exclusive, to explain how such homologous clusters appeared. Homologous clusters are expected at a low probability even if genes are distributed at random. The duplication of a subset of the genome might create homologous clusters, as would a duplication of the (...)
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  35.  26
    Immune Cell Identity: Perspective from a Palimpsest.Ellen V. Rothenberg - 2015 - Perspectives in Biology and Medicine 58 (2):205-228.
    The vertebrate immune system provides a remarkable showcase of the different ways the genome can be used to specify cellular identity and to mediate cellular function. It is arguably the leading mammalian system in which gene regulation programs that drive the acquisition of specific cell-type identities have been elucidated at the single cell level. More broadly for molecular genomics, the activation-induced gene expression pathways used in immune effector responses have provided textbook cases for fundamental elements of transcription factor (...)
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  36.  23
    Active genetics comes alive.Valentino M. Gantz & Ethan Bier - 2022 - Bioessays 44 (8):2100279.
    Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)‐based “active genetic” elements developed in 2015 bypassed the fundamental rules of traditional genetics. Inherited in a super‐Mendelian fashion, such selfish genetic entities offered a variety of potential applications including: gene‐drives to disseminate gene cassettes carrying desired traits throughout insect populations to control disease vectors or pest species, allelic drives biasing inheritance of preferred allelic variants, neutralizing genetic elements to delete and replace or to halt the spread of gene‐drives, split‐drives with (...)
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  37.  27
    Prime editing in plants and mammalian cells: Mechanism, achievements, limitations, and future prospects.V. Edwin Hillary & S. Antony Ceasar - 2022 - Bioessays 44 (9):2200032.
    Clustered, regularly interspaced, short palindromic repeat (CRISPR)/CRISPR‐associated protein (CRISPR/Cas) system has revolutionized genetic research in the life sciences. Four classes of CRISPR/Cas‐derived genome editing agents, such as nuclease, base editor, recombinase, and prime editor have been introduced for engineering the genomes of diverse organisms. The recently introduced prime editing system offers precise editing without many off‐target effects than traditional CRISPR‐based systems. Many researchers have successfully applied this gene‐editing toolbox in diverse systems for various genome‐editing applications. This review presents the (...)
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  38.  13
    Connecting phenotype to genotype: PheWAS-inspired analysis of autism spectrum disorder.John Matta, Daniel Dobrino, Dacosta Yeboah, Swade Howard, Yasser El-Manzalawy & Tayo Obafemi-Ajayi - 2022 - Frontiers in Human Neuroscience 16:960991.
    Autism Spectrum Disorder (ASD) is extremely heterogeneous clinically and genetically. There is a pressing need for a better understanding of the heterogeneity of ASD based on scientifically rigorous approaches centered on systematic evaluation of the clinical and research utility of both phenotype and genotype markers. This paper presents a holistic PheWAS-inspired method to identify meaningful associations between ASD phenotypes and genotypes. We generate two types of phenotype-phenotype (p-p) graphs: a direct graph that utilizes only phenotype data, and an indirect graph (...)
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  39.  14
    Spatial genome organization, TGFβ, and biomolecular condensates: Do they talk during development?Marta Vicioso-Mantis & Marian A. Martínez-Balbás - 2022 - Bioessays 44 (12):2200145.
    Cis‐regulatory elements govern gene expression programs to determine cell identity during development. Recently, the possibility that multiple enhancers are orchestrated in clusters of enhancers has been suggested. How these elements are arranged in the 3D space to control the activation of a specific promoter remains unclear. Our recent work revealed that the TGFβ pathway drives the assembly of enhancer clusters and precise gene activation during neurogenesis. We discovered that the TGFβ pathway coactivator JMJD3 was essential in maintaining these (...)
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  40. When Extinction Is Warranted: Invasive Species, Suppression-Drives and the Worst-Case Scenario.Ann C. Thresher - 2022 - Ethics, Policy and Environment 25 (2):132-152.
    Most current techniques to deal with invasive species are ineffective or have highly damaging side effects. To this end suppression-drives based on clustered regularly inter-spaced short palindromic repeats (CRISPR/Cas9) have been touted as a potential silver bullet for the problem, allowing for a highly focused, humane and cost-effective means of removing a target species from an environment. Suppression-drives come with serious risks, however, such that the precautionary principle seems to warrant us not deploying this technology. The focus of this paper (...)
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  41.  24
    Managing New Technology When Effective Control is Lost: Facing Hard Choices With CRISPR.Joel Andrew Zimbelman - 2022 - Journal of Religious Ethics 50 (3):433-460.
    This paper seeks to expand our appreciation of the gene editing tool, clustered regularly interspaced short palindromic repeats‐associated protein 9 (CRISPR‐Cas9), its function, its benefits and risks, and the challenges of regulating its use. I frame CRISPR's emergence and its current use in the context of 150 years of formal exploration of heredity and genetics. I describe CRISPR's structure and explain how it functions as a useful engineering tool. The contemporary international and domestic regulatory environment governing human genetic interventions (...)
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  42.  18
    Exploring the role of transcriptional and post‐transcriptional processes in mRNA co‐expression.Óscar García-Blay, Pieter G. A. Verhagen, Benjamin Martin & Maike M. K. Hansen - 2023 - Bioessays 45 (12):2300130.
    Co‐expression of two or more genes at the single‐cell level is usually associated with functional co‐regulation. While mRNA co‐expression—measured as the correlation in mRNA levels—can be influenced by both transcriptional and post‐transcriptional events, transcriptional regulation is typically considered dominant. We review and connect the literature describing transcriptional and post‐transcriptional regulation of co‐expression. To enhance our understanding, we integrate four datasets spanning single‐cell gene expression data, single‐cell promoter activity data and individual transcript half‐lives. Confirming expectations, we find that positive co‐expression (...)
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  43.  35
    From heavy metal‐binders to biosensors: Ciliate metallothioneins discussed.Juan C. Gutiérrez, Francisco Amaro & Ana Martín-González - 2009 - Bioessays 31 (7):805-816.
    Metallothioneins (MTs) are ubiquitous proteins with the capacity to bind heavy metal ions (mainly Cd, Zn or Cu), and they have been found in animals, plants, eukaryotic and prokaryotic micro‐organisms. We have carried out a comparative analysis of ciliate MTs (Tetrahymena species) to well‐known MTs from other organisms, discussing their exclusive features, such as the presence of aromatic amino acid residues and almost exclusive cysteine clusters (CCC) present in cadmium‐binding metallothioneins (CdMTs), higher heavy metal‐MT stoichiometry values, and a strictly conserved (...)
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  44.  73
    The CRISPR Revolution in Genome Engineering: Perspectives from Religious Ethics.Jung Lee - 2022 - Journal of Religious Ethics 50 (3):333-360.
    This focus issue considers the normative implications of the recent emergence in genome editing technology known as CRISPR (clustered regularly interspaced short palindromic repeats) or CRISPR‐associated protein 9. Originally discovered in the adaptive immune systems of bacteria and archaea, CRISPR enables researchers to make efficient and site‐specific modifications to the genomes of cells and organisms. More accessible, precise, and economic than previous gene editing technologies, CRISPR holds the promise of not only transforming the fields of genetics, agriculture, and human (...)
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  45. Cell Types as Natural Kinds.Matthew H. Slater - 2013 - Biological Theory 7 (2):170-179.
    Talk of different types of cells is commonplace in the biological sciences. We know a great deal, for example, about human muscle cells by studying the same type of cells in mice. Information about cell type is apparently largely projectible across species boundaries. But what defines cell type? Do cells come pre-packaged into different natural kinds? Philosophical attention to these questions has been extremely limited [see e.g., Wilson (Species: New Interdisciplinary Essays, pp 187–207, 1999; Genes and the Agents of Life, (...)
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  46.  24
    A Novel Eukaryote‐Like CRISPR Activation Tool in Bacteria: Features and Capabilities.Yang Liu & Baojun Wang - 2020 - Bioessays 42 (6):1900252.
    CRISPR (clustered regularly interspaced short palindromic repeats) activation (CRISPRa) in bacteria is an attractive method for programmable gene activation. Recently, a eukaryote‐like, σ54‐dependent CRISPRa system has been reported. It exhibits high dynamic ranges and permits flexible target site selection. Here, an overview of the existing strategies of CRISPRa in bacteria is presented, and the characteristics and design principles of the CRISPRa system are introduced. Possible scenarios for applying the eukaryote‐like CRISPRa system is discussed with corresponding suggestions for performance optimization (...)
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  47.  44
    Introducing the Brave New Crispr World.Arvin M. Gouw - 2020 - Zygon 55 (2):421-429.
    Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) has been the buzzword for genome editing in the past few years, especially with the birth of Lulu and Nana, twin girls who were genetically edited using the CRISPR/Cas system. To discuss this, a group of scientists, theologians, and ethicists gathered at the 2019 Institute on Religion in the Age of Science (IRAS) conference to discuss the implications of CRISPR gene editing. It became quickly apparent through our discussions that this CRISPR revolution (...)
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  48. The Biological Notion of Individual.Robert A. Wilson & Matthew J. Barker - 2013 - Stanford Encyclopedia of Philosophy.
    Individuals are a prominent part of the biological world. Although biologists and philosophers of biology draw freely on the concept of an individual in articulating both widely accepted and more controversial claims, there has been little explicit work devoted to the biological notion of an individual itself. How should we think about biological individuals? What are the roles that biological individuals play in processes such as natural selection (are genes and groups also units of selection?), speciation (are species individuals?), and (...)
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  49.  12
    C2H2 proteins: Evolutionary aspects of domain architecture and diversification.Artem N. Bonchuk & Pavel G. Georgiev - 2024 - Bioessays 46 (8):2400052.
    The largest group of transcription factors in higher eukaryotes are C2H2 proteins, which contain C2H2‐type zinc finger domains that specifically bind to DNA. Few well‐studied C2H2 proteins, however, demonstrate their key role in the control of gene expression and chromosome architecture. Here we review the features of the domain architecture of C2H2 proteins and the likely origin of C2H2 zinc fingers. A comprehensive investigation of proteomes for the presence of proteins with multiple clustered C2H2 domains has revealed a key (...)
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    microRNAs as novel regulators of stem cell pluripotency and somatic cell reprogramming.Meng Amy Li & Lin He - 2012 - Bioessays 34 (8):670-680.
    Emerging evidence suggests that microRNA (miRNA)‐mediated post‐transcriptional gene regulation plays an essential role in modulating embryonic stem (ES) cell pluripotency maintenance, differentiation, and reprogramming of somatic cells to an ES cell‐like state. Investigations from ES cell‐enriched miRNAs, such as mouse miR‐290 cluster and human miR‐302 cluster, and ES cell‐depleted miRNAs such as let‐7 family miRNAs, revealed a common theme that miRNAs target diverse cellular processes including cell cycle regulators, signaling pathway effectors, transcription factors, and epigenetic modifiers and shape their (...)
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