Results for 'cell heterogeneity'

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  1.  10
    Assembling the thymus medulla: Development and function of epithelial cell heterogeneity.Kieran D. James, Emilie J. Cosway, Sonia M. Parnell, Andrea J. White, William E. Jenkinson & Graham Anderson - 2024 - Bioessays 46 (3):2300165.
    The thymus is a unique primary lymphoid organ that supports the production of self‐tolerant T‐cells essential for adaptive immunity. Intrathymic microenvironments are microanatomically compartmentalised, forming defined cortical, and medullary regions each differentially supporting critical aspects of thymus‐dependent T‐cell maturation. Importantly, the specific functional properties of thymic cortical and medullary compartments are defined by highly specialised thymic epithelial cells (TEC). For example, in the medulla heterogenous medullary TEC (mTEC) contribute to the enforcement of central tolerance by supporting deletion of autoreactive (...)
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  2.  18
    Mitochondrial heterogeneity, metabolic scaling and cell death.Juvid Aryaman, Hanne Hoitzing, Joerg P. Burgstaller, Iain G. Johnston & Nick S. Jones - 2017 - Bioessays 39 (7):1700001.
    Heterogeneity in mitochondrial content has been previously suggested as a major contributor to cellular noise, with multiple studies indicating its direct involvement in biomedically important cellular phenomena. A recently published dataset explored the connection between mitochondrial functionality and cell physiology, where a non‐linearity between mitochondrial functionality and cell size was found. Using mathematical models, we suggest that a combination of metabolic scaling and a simple model of cell death may account for these observations. However, our findings (...)
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  3.  12
    Modeling heterogeneity in the pluripotent state: A promising strategy for improving the efficiency and fidelity of stem cell differentiation.Vladimir Espinosa Angarica & Antonio del Sol - 2016 - Bioessays 38 (8):758-768.
    Pluripotency can be considered a functional characteristic of pluripotent stem cells (PSCs) populations and their niches, rather than a property of individual cells. In this view, individual cells within the population independently adopt a variety of different expression states, maintained by different signaling, transcriptional, and epigenetics regulatory networks. In this review, we propose that generation of integrative network models from single cell data will be essential for getting a better understanding of the regulation of self‐renewal and differentiation. In particular, (...)
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  4.  9
    Defining heterogeneity within bacterial populations via single cell approaches.Kimberly M. Davis & Ralph R. Isberg - 2016 - Bioessays 38 (8):782-790.
    Bacterial populations are heterogeneous, which in many cases can provide a selective advantage during changes in environmental conditions. In some instances, heterogeneity exists at the genetic level, in which significant allelic variation occurs within a population seeded by a single cell. In other cases, heterogeneity exists due to phenotypic differences within a clonal, genetically identical population. A variety of mechanisms can drive this latter strategy. Stochastic fluctuations can drive differential gene expression, but heterogeneity in gene expression (...)
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  5.  17
    Single cell RNA‐sequencing: A powerful yet still challenging technology to study cellular heterogeneity.May Ke, Badran Elshenawy, Helen Sheldon, Anjali Arora & Francesca M. Buffa - 2022 - Bioessays 44 (11):2200084.
    Almost all biomedical research to date has relied upon mean measurements from cell populations, however it is well established that what it is observed at this macroscopic level can be the result of many interactions of several different single cells. Thus, the observable macroscopic ‘average’ cannot outright be used as representative of the ‘average cell’. Rather, it is the resulting emerging behaviour of the actions and interactions of many different cells. Single‐cell RNA sequencing (scRNA‐Seq) enables the comparison (...)
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  6.  21
    The roots of cancer: Stem cells and the basis for tumor heterogeneity.Maho Shibata & Michael M. Shen - 2013 - Bioessays 35 (3):253-260.
    Recent studies of prostate cancer and other tumor types have revealed significant support, as well as unexpected complexities, for the application of concepts from normal stem cell biology to cancer. In particular, the cell of origin and cancer stem cell models have been proposed to explain the heterogeneity of tumors during the initiation, propagation, and evolution of cancer. Thus, a basis of intertumor heterogeneity has emerged from studies investigating whether stem cells and/or non‐stem cells can (...)
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  7. Simulation of a low temperature water gas shift reactor using the heterogeneous model/application to a PEM fuel cell.Pablo Giunta, Norma Amadeo & Miguel Laborde - 2005 - In Alan F. Blackwell & David MacKay (eds.), Power. Cambridge University Press. pp. 7123--1.
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  8.  17
    Modeling Cell-to-Cell Spread of HIV-1 with Nonlocal Infections.Xiaoting Fan, Yi Song & Wencai Zhao - 2018 - Complexity 2018:1-10.
    This paper is devoted to develop a nonlocal and time-delayed reaction-diffusion model for HIV infection within host cell-to-cell viral transmissions. In a bounded spatial domain, we study threshold dynamics in terms of basic reproduction numberR0for the heterogeneous model. Our results show that ifR0 1, virus will persist in the host environment.
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  9.  18
    The roles of heterogeneous nuclear ribonucleoproteins (hnRNP) in RNA metabolism.Florian Weighardt, Giuseppe Biamonti & Silvano Riva - 1996 - Bioessays 18 (9):747-756.
    In eukaryotic cells, messenger RNAs are formed by extensive posttranscriptional processing of primary transcripts, assembled with a large number of proteins and processing factors in ribonucleoprotein complexes. The protein moiety of these complexes mainly constitutes a class of about 20 major polypeptides called heterogeneous nuclear ribonucleoproteins or hnRNPs. The function and the mechanism of action of hnRNPs is still not fully understood, but the identification of RNA binding domains and RNA binding specificities, and the development of new functional assays, has (...)
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  10.  8
    Does transcriptional heterogeneity facilitate the development of genetic drug resistance?Kevin S. Farquhar, Samira Rasouli Koohi & Daniel A. Charlebois - 2021 - Bioessays 43 (8):2100043.
    Non‐genetic forms of antimicrobial (drug) resistance can result from cell‐to‐cell variability that is not encoded in the genetic material. Data from recent studies also suggest that non‐genetic mechanisms can facilitate the development of genetic drug resistance. We speculate on how the interplay between non‐genetic and genetic mechanisms may affect microbial adaptation and evolution during drug treatment. We argue that cellular heterogeneity arising from fluctuations in gene expression, epigenetic modifications, as well as genetic changes contribute to drug resistance (...)
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  11. Plasticity mechanisms of genetically distinct Purkinje cells.Stijn Voerman, Robin Broersen, Sigrid M. A. Swagemakers, Chris I. De Zeeuw & Peter J. van der Spek - 2024 - Bioessays 46 (6):2400008.
    Despite its uniform appearance, the cerebellar cortex is highly heterogeneous in terms of structure, genetics and physiology. Purkinje cells (PCs), the principal and sole output neurons of the cerebellar cortex, can be categorized into multiple populations that differentially express molecular markers and display distinctive physiological features. Such features include action potential rate, but also their propensity for synaptic and intrinsic plasticity. However, the precise molecular and genetic factors that correlate with the differential physiological properties of PCs remain elusive. In this (...)
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  12.  26
    Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling.Victoria Moignard & Berthold Göttgens - 2014 - Bioessays 36 (4):419-426.
    Transcriptional networks regulate cell fate decisions, which occur at the level of individual cells. However, much of what we know about their structure and function comes from studies averaging measurements over large populations of cells, many of which are functionally heterogeneous. Such studies conceal the variability between cells and so prevent us from determining the nature of heterogeneity at the molecular level. In recent years, many protocols and platforms have been developed that allow the high throughput analysis of (...)
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  13.  11
    Why the Outcome of Anti‐Tumor Immune Responses is Heterogeneous: A Novel Idea in the Context of Immunological Heterogeneity in Cancers.Jing H. Wang - 2020 - Bioessays 42 (10):2000024.
    The question as to why some hosts can eradicate their tumors while others succumb to tumor‐progression remains unanswered. Here, a provocative concept is proposed that intrinsic differences in the T cell receptor (TCR) repertoire of individuals may influence the outcome of anti‐tumor immunity by affecting the frequency and/or variety of tumor‐reactive CD8 and/or CD4 tumor‐infiltrating lymphocytes. This idea implicates that the TCR repertoire in a given patient might not provide sufficiently different TCR clones that can recognize tumor antigens, namely, (...)
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  14.  24
    Mesenchymal stem cells for systemic therapy: shotgun approach or magic bullets?Susan M. Millard & Nicholas M. Fisk - 2013 - Bioessays 35 (3):173-182.
    Given their heterogeneity and lack of defining markers, it is surprising that multipotent mesenchymal stem/stromal cells (MSCs) have attracted so much translational attention, especially as increasing evidence points to their predominant effect being not by donor differentiation but via paracrine mediators and exosomes. Achieving long-term MSC donor chimerism for treatment of chronic disease remains a challenge, requiring enhanced MSC homing/engraftment properties and manipulation of niches to direct MSC behaviour. Meanwhile advances in nanoparticle technology are furthering the development of MSCs (...)
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  15.  15
    What keeps cells in tissues behaving normally in the face of myriad mutations?Harry Rubin - 2006 - Bioessays 28 (5):515-524.
    The use of a reporter gene in transgenic mice indicates that there are many local mutations and large genomic rearrangements per somatic cell that accumulate with age at different rates per organ and without visible effects. Dissociation of the cells for monolayer culture brings out great heterogeneity of size and loss of function among cells that presumably reflect genetic and epigenetic differences among the cells, but are masked in organized tissue. The regulatory power of a mass of contiguous (...)
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  16.  18
    La mobilisation des hétérogènes.Yann Moulier-Boutang - 2000 - Multitudes 1 (1):56-63.
    Résumé Après une mise en perspective historique du processus de financiarisation, l’article prête plus particulièrement attention au rôle de la finance dans le gouvernement des externalités, et cela à un double niveau. 1?) Le premier a trait à la revanche des externalités négatives. La surexploitation de la planète résultant de deux siècles d’une croissance hyper-productiviste fait désormais peser sur l’économie mondiale une incertitude structurelle, qui pèse tant sur les prix des ressources non renouvelables que, plus fondamentalement, « sur le prix (...)
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  17.  10
    La mobilisation des hétérogènes.Yann Moulier-Boutang - 2001 - Multitudes 1 (1):56-63.
    Résumé Après une mise en perspective historique du processus de financiarisation, l’article prête plus particulièrement attention au rôle de la finance dans le gouvernement des externalités, et cela à un double niveau. 1?) Le premier a trait à la revanche des externalités négatives. La surexploitation de la planète résultant de deux siècles d’une croissance hyper-productiviste fait désormais peser sur l’économie mondiale une incertitude structurelle, qui pèse tant sur les prix des ressources non renouvelables que, plus fondamentalement, « sur le prix (...)
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  18.  2
    Endothelial ontogeny and the establishment of vascular heterogeneity.Oliver A. Stone, Bin Zhou, Kristy Red-Horse & Didier Y. R. Stainier - 2021 - Bioessays 43 (7):2100036.
    The establishment of distinct cellular identities was pivotal during the evolution of Metazoa, enabling the emergence of an array of specialized tissues with different functions. In most animals including vertebrates, cell specialization occurs in response to a combination of intrinsic (e.g., cellular ontogeny) and extrinsic (e.g., local environment) factors that drive the acquisition of unique characteristics at the single‐cell level. The first functional organ system to form in vertebrates is the cardiovascular system, which is lined by a network (...)
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  19.  5
    Environmental signals and cell fate specification in premigratory neural crest.Richard I. Dorsky, Randall T. Moon & David W. Raible - 2000 - Bioessays 22 (8):708-716.
    Neural crest cells are multipotent progenitors, capable of producing diverse cell types upon differentiation. Recent studies have identified significant heterogeneity in both the fates produced and genes expressed by different premigratory crest cells. While these cells may be specified toward particular fates prior to migration, transplant studies show that some may still be capable of respecification at this time. Here we summarize evidence that extracellular signals in the local environment may act to specify premigratory crest and thus generate (...)
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  20.  23
    Differentiation of endothelial cells: Analysis of the constitutive and activated endothelial cell phenotypes.Hellmut G. Augustin, Detlef H. Kozian & Robert C. Johnson - 1994 - Bioessays 16 (12):901-906.
    Endothelial cells line the inside of all blood vessels, forming a structurally and functionally heterogenous population of cells. Their complexity and diversity has long been recognized, yet very little is known about the molecules and regulatory mechanisms that mediate the heterogeneity of different endothelial cell populations. The constitutive organ‐ and microenvironment‐specific phenotype of endothelial cells controls internal body compartmentation, regulating the trafficking of circulating cells to distinct vascular beds. In contrast, surface molecules associated with the activated cytokine‐inducible endothelial (...)
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  21.  6
    Muscle stem cells get a new look: Dynamic cellular projections as sensors of the stem cell niche.Robert S. Krauss & Allison P. Kann - 2023 - Bioessays 45 (5):2200249.
    Cellular mechanisms whereby quiescent stem cells sense tissue injury and transition to an activated state are largely unknown. Quiescent skeletal muscle stem cells (MuSCs, also called satellite cells) have elaborate, heterogeneous projections that rapidly retract in response to muscle injury. They may therefore act as direct sensors of their niche environment. Retraction is driven by a Rac‐to‐Rho GTPase activity switch that promotes downstream MuSC activation events. These and other observations lead to several hypotheses: (1) projections are morphologically dynamic at quiescence, (...)
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  22.  5
    Glycosylation and stem cells: Regulatory roles and application of iPSCs in the study of glycosylation‐related disorders.Ryan P. Berger, Michelle Dookwah, Richard Steet & Stephen Dalton - 2016 - Bioessays 38 (12):1255-1265.
    Glycosylation refers to the co‐ and post‐translational modification of protein and lipids by monosaccharides or oligosaccharide chains. The surface of mammalian cells is decorated by a heterogeneous and highly complex array of protein and lipid linked glycan structures that vary significantly between different cell types, raising questions about their roles in development and disease pathogenesis. This review will begin by focusing on recent findings that define roles for cell surface protein and lipid glycosylation in pluripotent stem cells and (...)
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  23.  4
    Environmental signals and cell fate specification in premigratory neural crest.Andrew Stoker & Rina Dutta - 2000 - Bioessays 22 (8):708-716.
    Neural crest cells are multipotent progenitors, capable of producing diverse cell types upon differentiation. Recent studies have identified significant heterogeneity in both the fates produced and genes expressed by different premigratory crest cells. While these cells may be specified toward particular fates prior to migration, transplant studies show that some may still be capable of respecification at this time. Here we summarize evidence that extracellular signals in the local environment may act to specify premigratory crest and thus generate (...)
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  24.  11
    Extracting order from heterogeneity.Tessy Korthout, Giulia Emanuelli & James R. A. Hutchins - 2016 - Bioessays 38 (1):4-7.
    Graphical AbstractUnderstanding epigenetic modifications to chromatin that regulate gene expression and cell-fate decisions is now possible in single cells thanks to recent technological advances. As interdisciplinary approaches are required to derive biological principles, this workshop brought together some of Europe's leading researchers in single-cell epigenetics to share technologies and biological insights.
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  25.  13
    From developmental to atavistic bet‐hedging: How cancer cells pervert the exploitation of random single‐cell phenotypic fluctuations.Jean-Pascal Capp & Frédéric Thomas - 2022 - Bioessays 44 (9):2200048.
    Stochastic gene expression plays a leading developmental role through its contribution to cell differentiation. It is also proposed to promote phenotypic diversification in malignant cells. However, it remains unclear if these two forms of cellular bet‐hedging are identical or rather display distinct features. Here we argue that bet‐hedging phenomena in cancer cells are more similar to those occurring in unicellular organisms than to those of normal metazoan cells. We further propose that the atavistic bet‐hedging strategies in cancer originate from (...)
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  26.  18
    From parts to mechanisms: research heuristics for addressing heterogeneity in cancer genetics.William Bechtel - 2019 - History and Philosophy of the Life Sciences 41 (3):27.
    A major approach to cancer research in the late twentieth century was to search for genes that, when altered, initiated the development of a cell into a cancerous state or failed to stop this development. But as researchers acquired the capacity to sequence tumors and incorporated the resulting data into databases, it became apparent that for many tumors no genes were frequently altered and that the genes altered in different tumors in the same tissue type were often distinct. To (...)
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  27.  31
    Addressing Cancer Chemotherapeutic Toxicity, Resistance, and Heterogeneity: Novel Theranostic Use of DNA‐Encoded Small Molecule Libraries.Gerald Kolodny, Xiaoyu Li & Steven Balk - 2018 - Bioessays 40 (10):1800057.
    Major problems in cancer chemotherapy are toxicity, resistance, and cancer heterogeneity. A new theranostic paradigm has been proposed by the authors. Many million small molecules (SM) are bound to the proteins extracted from a patient's cancer. SM that also bind proteins extracted from normal human tissues are subtracted from the cancer protein bound SM leaving a large array of SM targeting many sites on each of the cancer biomarkers. Targeting many more than the conventional 1 – 4 cancer biomarkers (...)
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  28.  17
    How to count chromosomes in a cell: An overview of current and novel technologies.Bjorn Bakker, Hilda van den Bos, Peter M. Lansdorp & Floris Foijer - 2015 - Bioessays 37 (5):570-577.
    Aneuploidy, an aberrant number of chromosomes in a cell, is a feature of several syndromes associated with cognitive and developmental defects. In addition, aneuploidy is considered a hallmark of cancer cells and has been suggested to play a role in neurodegenerative disease. To better understand the relationship between aneuploidy and disease, various methods to measure the chromosome numbers in cells have been developed, each with their own advantages and limitations. While some methods rely on dividing cells and thus bias (...)
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  29.  9
    Variation is function: Are single cell differences functionally important?Hannah Dueck, James Eberwine & Junhyong Kim - 2016 - Bioessays 38 (2):172-180.
    There is a growing appreciation of the extent of transcriptome variation across individual cells of the same cell type. While expression variation may be a byproduct of, for example, dynamic or homeostatic processes, here we consider whether single‐cell molecular variation per se might be crucial for population‐level function. Under this hypothesis, molecular variation indicates a diversity of hidden functional capacities within an ensemble of “identical” cells, and this functional diversity facilitates collective behavior that would be inaccessible to a (...)
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  30.  10
    Problems and paradigms: Dynamic lipid‐bilayer heterogeneity: A mesoscopic vehicle for membrane function?Ole G. Mouritsen & Kent Jørgensen - 1992 - Bioessays 14 (2):129-136.
    The lipid‐bilayer component of cell membranes is an aqueous bimolecular aggregate characterized by a heterogeneous lateral organization of its molecular constituents. The heterogeneity may be sustained statically as well as dynamically. On the basis of recent experimental and theoretical progress in the study of the physical properties of lipid‐bilayer membranes, it is proposed that the dynamically heterogeneous membrane states are important for membrane functions such as transport of matter across the membrane and enzymatic activity. The heterogeneous membrane states (...)
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  31.  17
    Single neuron transcriptome analysis can reveal more than cell type classification.Lise J. Harbom, William D. Chronister & Michael J. McConnell - 2016 - Bioessays 38 (2):157-161.
    A recent single cell mRNA sequencing study by Dueck et al. compares neuronal transcriptomes to the transcriptomes of adipocytes and cardiomyocytes. Single cell ‘omic approaches such as those used by the authors are at the leading edge of molecular and biophysical measurement. Many groups are currently employing single cell sequencing approaches to understand cellular heterogeneity in cancer and during normal development. These single cell approaches also are beginning to address long‐standing questions regarding nervous system diversity. (...)
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  32.  9
    With or without rafts? Alternative views on cell membranes.Eva Sevcsik & Gerhard J. Schütz - 2016 - Bioessays 38 (2):129-139.
    The fundamental mechanisms of protein and lipid organization at the plasma membrane have continued to engage researchers for decades. Among proposed models, one idea has been particularly successful which assumes that sterol‐dependent nanoscopic phases of different lipid chain order compartmentalize proteins, thereby modulating protein functionality. This model of membrane rafts has sustainably sparked the fields of membrane biophysics and biology, and shifted membrane lipids into the spotlight of research; by now, rafts have become an integral part of our terminology to (...)
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  33.  5
    Tumor‐derived microvesicles in the tumor microenvironment: How vesicle heterogeneity can shape the future of a rapidly expanding field.James W. Clancy, Christopher J. Tricarico & Crislyn D'Souza-Schorey - 2015 - Bioessays 37 (12):1309-1316.
    Information transmission from tumor cells to non‐tumor cells in the surrounding microenvironment via microvesicles is a more recently studied form of intercellular signaling that can have a marked impact on the tumor microenvironment. Tumor‐derived microvesicles (TMVs) are packed with information including signaling proteins and nucleic acids, and can be taken up by target cells, enabling paracrine signaling. While previous research has focused on how vesicles released from pathologic cells differ from normal cells, the heterogeneity that exists within the TMV (...)
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  34.  29
    “You've Got it, You May Have it, You Haven't Got it”: Multiplicity, Heterogeneity, and the Unintended Consequences of HIV-related Tests.Kevin P. Corbett - 2009 - Science, Technology, and Human Values 34 (1):102-125.
    This article considers the experiences of health consumers who have undergone testing for human immunodeficiency virus antibodies, T cells, and viral load. These HIV-related tests are deployed for the purposes of making definitive diagnoses; yet some test consumers experience ambiguous outcomes. Drawing on an analysis of differing end-user experiences of these tests, where consumers' knowledge reflected the multiplicity and heterogeneity in test design, the author explores how these experiences reflect particular knowledges about these tests. The article contributes to efforts (...)
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  35.  22
    Creating Lineage Trajectory Maps Via Integration of Single‐Cell RNA‐Sequencing and Lineage Tracing.Russell B. Fletcher, Diya Das & John Ngai - 2018 - Bioessays 40 (8):1800056.
    Mapping the paths that stem and progenitor cells take en route to differentiate and elucidating the underlying molecular controls are key goals in developmental and stem cell biology. However, with population level analyses it is difficult − if not impossible − to define the transition states and lineage trajectory branch points within complex developmental lineages. Single‐cell RNA‐sequencing analysis can discriminate heterogeneity in a population of cells and even identify rare or transient intermediates. In this review, we propose (...)
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  36.  38
    The Double Nucleation Model for Sickle Cell Haemoglobin Polymerization: Full Integration and Comparison with Experimental Data.Terkia Medkour, Frank Ferrone, Frédéric Galactéros & Patrick Hannaert - 2008 - Acta Biotheoretica 56 (1-2):103-122.
    Sickle cell haemoglobin polymerization reduces erythrocyte deformability, causing deleterous vaso-occlusions. The double-nucleation model states that polymers grow from HbS aggregates, the nuclei, in solution , onto existing polymers . When linearized at initial HbS concentration, this model predicts early polymerization and its characteristic delay-time :591–610, 611–631, 1985). Addressing its relevance for describing complete polymerization, we constructed the full, non-linearized model . Here, we compare the simulated outputs to experimental progress curves . Within 10% from start, average root mean square (...)
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  37.  18
    Mitochondria and the non‐genetic origins of cell‐to‐cell variability: More is different.Raúl Guantes, Juan Díaz-Colunga & Francisco J. Iborra - 2016 - Bioessays 38 (1):64-76.
    Gene expression activity is heterogeneous in a population of isogenic cells. Identifying the molecular basis of this variability will improve our understanding of phenomena like tumor resistance to drugs, virus infection, or cell fate choice. The complexity of the molecular steps and machines involved in transcription and translation could introduce sources of randomness at many levels, but a common constraint to most of these processes is its energy dependence. In eukaryotic cells, most of this energy is provided by mitochondria. (...)
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  38.  1
    L’abstraction au-delà d’elle-même Shirley Jaffe, Jonathan Lasker, Philippe Richard et Diana Cooper : l’hétérogène, l’impur, la limite.Marion Daniel - 2011 - Philosophique 14:81-89.
    Comment se caractérise la peinture abstraite contemporaine? Quelles relations entretient-elle avec celle des maîtres du début du XXe siècle? Pour l'auteur, des oeuvres comme celles de Shirley Jaffe, Jonathan Lasker, Philippe Richard et Diana Cooper se caractérisent par un refus de l'unité, de l'harmonie et de la pureté, c'est-à-dire d'une recherche de la perfection. L'hétérogénéité, constitutive de leurs oeuvres, est fondée sur la reprise d'images réelles et l'ouverture des oeuvres à l'espace qui les environne. Elle participe d'une position politique et (...)
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  39.  18
    Patients accept therapy using embryonic stem cells for Parkinson’s disease: a discrete choice experiment.Jennifer Viberg Johansson, Mats Hansson, Elena Jiltsova, Trinette van Vliet, Hakan Widner, Dag Nyholm, Jorien Veldwijk, Catharina Groothuis-Oudshoorn, Jennifer Drevin & Karin Schölin Bywall - 2023 - BMC Medical Ethics 24 (1):1-13.
    BackgroundNew disease-modifying ways to treat Parkinson’s disease (PD) may soon become a reality with intracerebral transplantation of cell products produced from human embryonic stem cells (hESCs). The aim of this study was to assess what factors influence preferences of patients with PD regarding stem-cell based therapies to treat PD in the future.MethodsPatients with PD were invited to complete a web-based discrete choice experiment to assess the importance of the following attributes: (i) type of treatment, (ii) aim of treatment, (...)
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  40.  25
    Analysis of Microarray Data for Treated Fat Cells.Nicoleta Serban, Larry Wasserman, David Peters, Peter Spirtes, Robert O'Doherty, Daniel Handley, Richard Scheines & Clark Glymour - unknown
    DNA microarrays are perfectly suited for comparing gene expression in different populations of cells. An important application of microarray techniques is identifying genes which are activated by a particular drug of interest. This process will allow biologists to identify therapies targeted to particular diseases, and, eventually, to gain more knowledge about the biological processes in organisms. Such an application is described in this paper. It is focused on diabetes and obesity, which is a genetically heterogeneous disease, meaning that multiple defective (...)
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  41.  23
    Muscular dystrophies, the cytoskeleton and cell adhesion.Heather J. Spence, Yun-Ju Chen & Steven J. Winder - 2002 - Bioessays 24 (6):542-552.
    Muscular dystrophies are associated with mutations in genes encoding several classes of proteins. These range from extracellular matrix and integral membrane proteins to cytoskeletal proteins, but also include a heterogeneous group of proteins including proteases, nuclear proteins, and signalling molecules. Muscular dystrophy phenotypes have also become evident in studies on various knockout mice defective in proteins not previously considered or known to be mutated in muscular dystrophies. Some unifying themes are beginning to emerge from all of these data. This review (...)
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  42.  9
    Tumor‐induced solid stress activates β‐catenin signaling to drive malignant behavior in normal, tumor‐adjacent cells.Guanqing Ou & Valerie Marie Weaver - 2015 - Bioessays 37 (12):1293-1297.
    Recent work by Fernández‐Sánchez and coworkers examining the impact of applied pressure on the malignant phenotype of murine colon tissue in vivo revealed that mechanical perturbations can drive malignant behavior in genetically normal cells. Their findings build upon an existing understanding of how the mechanical cues experienced by cells within a tissue become progressively modified as the tissue transforms. Using magnetically stimulated ultra‐magnetic liposomes to mimic tumor growth ‐induced solid stress, Fernández‐Sánchez and coworkers were able to stimulate β‐catenin to promote (...)
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  43.  10
    Universal nuclear domains of somatic and germ cells: some lessons from oocyte interchromatin granule cluster and Cajal body structure and molecular composition.Dmitry Bogolyubov, Irina Stepanova & Vladimir Parfenov - 2009 - Bioessays 31 (4):400-409.
    It is now clear that two prominent nuclear domains, interchromatin granule clusters (IGCs) and Cajal bodies (CBs), contribute to the highly ordered organization of the extrachromosomal space of the cell nucleus. These functional domains represent structurally stable but highly dynamic nuclear organelles enriched in factors that are required for different nuclear activities, especially RNA biogenesis. IGCs are considered to be the main sites for storage, assembly, and/or recycling of the essential spliceosome components. CBs are involved in the biogenesis of (...)
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  44.  20
    Composition and expression of spectrin‐based membrane skeletons in non‐erythroid cells.Randall T. Moon & Andrew P. McMahon - 1987 - Bioessays 7 (4):159-164.
    Cellular differentiation is often accompanied by the expression of specialized plasma membrane proteins which accumulate in discrete regions. The biogenesis of these specialized membrane domains involves the assembly and co‐localisation of a spectrin‐based membrane skeleton. While the constituents of the membrane skeleton in non‐erythroid cells are often immunologically related to erythroid spectrin, ankyrin, and protein 4.1, there are structural and functional differences between the isoforms of these membrane skeleton polypeptides, as well as highly variable patterns of expression during cellular differentiation. (...)
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  45.  37
    Tensegrity behaviour of cortical and cytosolic cytoskeletal components in twisted living adherent cells.Valérie M. Laurent, Patrick Cañadas, Redouane Fodil, Emmanuelle Planus, Atef Asnacios, Sylvie Wendling & Daniel Isabey - 2002 - Acta Biotheoretica 50 (4):331-356.
    The present study is an attempt to relate the multicomponent response of the cytoskeleton (CSK), evaluated in twisted living adherent cells, to the heterogeneity of the cytoskeletal structure - evaluated both experimentally by means of 3D reconstructions, and theoretically considering the predictions given by two tensegrity models composed of (four and six) compressive elements and (respectively 12 and 24) tensile elements. Using magnetic twisting cytometry in which beads are attached to integrin receptors linked to the actin CSK of living (...)
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  46. Arthur M. Melzer, The Natural Goodness of Man: On the System of Rousseau's Thought Reviewed by.Howard R. Cell - 1991 - Philosophy in Review 11 (3):212-214.
     
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  47.  9
    A Systems View of the Self.Edward Cell - 1995 - Dialogue and Universalism 5 (8):95-100.
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  48.  20
    Expressing and describing surprise.Agnès Celle & Laure Lansari (eds.) - 2017 - Philadelphia: John Benjamins.
    Among emotions, surprise has been extensively studied in psychology. In linguistics, surprise, like other emotions, has mainly been studied through the syntactic patterns involving surprise lexemes. However, little has been done so far to correlate the reaction of surprise investigated in psychological approaches and the effects of surprise on language. This cross-disciplinary volume aims to bridge the gap between emotion, cognition and language by bringing together nine contributions on surprise from different backgrounds - psychology, human-agent interaction, linguistics. Using different methods (...)
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  49. JG Merquior, Rousseau and Weber: Two Studies in the Theory of Legitimacy Reviewed by.Howard R. Cell - 1982 - Philosophy in Review 2 (2/3):120-123.
     
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  50.  3
    Language, existence & God.Edward Cell - 1971 - Nashville,: Abingdon Press.
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