Social Insect Genomes Exhibit Dramatic Evolution in Gene Composition and Regulation While Preserving Regulatory Features Linked to Sociality
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Dense Active Matter Model of Motion Patterns in Confluent Cell Monolayers Henkes, Silke; Kostanjevec, Kaja; Collinson, J
University of Dundee Dense active matter model of motion patterns in confluent cell monolayers Henkes, Silke; Kostanjevec, Kaja; Collinson, J. Martin; Sknepnek, Rastko; Bertin, Eric Published in: Nature Communications DOI: 10.1038/s41467-020-15164-5 Publication date: 2020 Licence: CC BY Document Version Publisher's PDF, also known as Version of record Link to publication in Discovery Research Portal Citation for published version (APA): Henkes, S., Kostanjevec, K., Collinson, J. M., Sknepnek, R., & Bertin, E. (2020). Dense active matter model of motion patterns in confluent cell monolayers. Nature Communications, 11, [1405]. https://doi.org/10.1038/s41467-020-15164-5 General rights Copyright and moral rights for the publications made accessible in Discovery Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from Discovery Research Portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain. • You may freely distribute the URL identifying the publication in the public portal. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 29. Sep. 2021 ARTICLE https://doi.org/10.1038/s41467-020-15164-5 OPEN Dense active matter model of motion patterns in confluent cell monolayers ✉ ✉ ✉ Silke Henkes 1,2 , Kaja Kostanjevec3, J. -
JEWISH REVIEW of BOOKS Volume 5, Number 1 Spring 2014 $7.95
The New Balaboosta, Khazar DNA & Agnon’s Lost Satire JEWISH REVIEW OF BOOKS Volume 5, Number 1 Spring 2014 $7.95 The Screenwriter & the Hoodlums Ben Hecht with Stuart Schoffman Ivan Marcus Rashi with Chumash Elliott Abrams Israel’s Journalist-Prophet Steven Aschheim The Memory Man Amy Newman Smith Expulsion Chick-Lit Gavriel D. Rosenfeld George Clooney, Historian NEW AT THE Editor CENTER FOR JEWISH HISTORY Abraham Socher Senior Contributing Editor Allan Arkush Art Director Betsy Klarfeld Associate Editor Amy Newman Smith Administrative Assistant Rebecca Weiss Editorial Board Robert Alter Shlomo Avineri Leora Batnitzky Ruth Gavison Moshe Halbertal Hillel Halkin Jon D. Levenson Anita Shapira Michael Walzer J. H.H. Weiler Leon Wieseltier Ruth R. Wisse Steven J. Zipperstein Publisher Eric Cohen Associate Publisher & Director of Marketing Lori Dorr NEW SPACE The Jewish Review of Books (Print ISSN 2153-1978, The David Berg Rare Book Room is a state-of- Online ISSN 2153-1994) is a quarterly publication the-art exhibition space preserving and dis- of ideas and criticism published in Spring, Summer, playing the written word, illuminating Jewish Fall, and Winter, by Bee.Ideas, LLC., 165 East 56th Street, 4th Floor, New York, NY 10022. history over time and place. For all subscriptions, please visit www.jewishreviewofbooks.com or send $29.95 UPCOMING EXHIBITION ($39.95 outside of the U.S.) to Jewish Review of Books, Opening Sunday, March 16: By Dawn’s Early PO Box 3000, Denville, NJ 07834. Please send notifi- cations of address changes to the same address or to Light: From Subjects to Citizens (presented by the [email protected]. -
Plasticity of Cell Migration Resulting from Mechanochemical Coupling Yuansheng Cao†, Elisabeth Ghabache†, Wouter-Jan Rappel*
RESEARCH ARTICLE Plasticity of cell migration resulting from mechanochemical coupling Yuansheng Cao†, Elisabeth Ghabache†, Wouter-Jan Rappel* Department of Physics, University of California, San Diego, La Jolla, United States Abstract Eukaryotic cells can migrate using different modes, ranging from amoeboid-like, during which actin filled protrusions come and go, to keratocyte-like, characterized by a stable morphology and persistent motion. How cells can switch between these modes is not well understood but waves of signaling events are thought to play an important role in these transitions. Here we present a simple two-component biochemical reaction-diffusion model based on relaxation oscillators and couple this to a model for the mechanics of cell deformations. Different migration modes, including amoeboid-like and keratocyte-like, naturally emerge through transitions determined by interactions between biochemical traveling waves, cell mechanics and morphology. The model predictions are explicitly verified by systematically reducing the protrusive force of the actin network in experiments using Dictyostelium discoideum cells. Our results indicate the importance of coupling signaling events to cell mechanics and morphology and may be applicable in a wide variety of cell motility systems. DOI: https://doi.org/10.7554/eLife.48478.001 Introduction Eukaryotic cell migration is a fundamental biological process that is essential in development and wound healing and plays a critical role in pathological diseases, including inflammation and -
Inter-Kingdom Signaling by the Legionella Quorum Sensing Molecule LAI-1 Modulates Cell Migration Through an IQGAP1-Cdc42-ARHGEF9-Dependent Pathway
http://www.diva-portal.org This is the published version of a paper published in PLoS Pathogens. Citation for the original published paper (version of record): Simon, S., Schell, U., Heuer, N., Hager, D., Albers, M F. et al. (2015) Inter-kingdom Signaling by the Legionella Quorum Sensing Molecule LAI-1 Modulates Cell Migration through an IQGAP1-Cdc42-ARHGEF9-Dependent Pathway. PLoS Pathogens, 11(12): e1005307 http://dx.doi.org/10.1371/journal.ppat.1005307 Access to the published version may require subscription. N.B. When citing this work, cite the original published paper. Permanent link to this version: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-114332 RESEARCH ARTICLE Inter-kingdom Signaling by the Legionella Quorum Sensing Molecule LAI-1 Modulates Cell Migration through an IQGAP1-Cdc42- ARHGEF9-Dependent Pathway Sylvia Simon1,2, Ursula Schell1, Natalie Heuer3, Dominik Hager4, Michael F. Albers5, Jan Matthias3, Felix Fahrnbauer4, Dirk Trauner4, Ludwig Eichinger3, Christian Hedberg5,6, Hubert Hilbi1,2* 1 Max von Pettenkofer Institute, Ludwig-Maximilians University, Munich, Germany, 2 Institute of Medical Microbiology, University of Zürich, Zürich, Switzerland, 3 Institute of Biochemistry I, University of Cologne, Cologne, Germany, 4 Department of Chemistry, Ludwig-Maximilians University, Munich, Germany, 5 Department of Chemistry and Umeå Center for Microbial Research, Umeå University, Umeå, Sweden, 6 Department of Chemical Biology, Max-Planck-Institute of Molecular Physiology, Dortmund, Germany * [email protected] OPEN ACCESS Citation: Simon S, Schell U, Heuer N, Hager D, Abstract Albers MF, Matthias J, et al. (2015) Inter-kingdom Signaling by the Legionella Quorum Sensing Small molecule signaling promotes the communication between bacteria as well as Molecule LAI-1 Modulates Cell Migration through an between bacteria and eukaryotes. -
1 Research Article the Missing Link of Jewish European Ancestry: Contrasting the Rhineland and the Khazarian Hypotheses Eran
Research Article The Missing Link of Jewish European Ancestry: Contrasting the Rhineland and the Khazarian Hypotheses Eran Israeli-Elhaik1,2 1 Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA, 21208. 2 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA, 21208. Running head: The Missing Link of Jewish European Ancestry Keywords: Jewish genome, Khazars, Rhineland, Ashkenazi Jews, population isolate, Population structure Please address all correspondence to Eran Elhaik at [email protected] Phone: 410-502-5740. Fax: 410-502-7544. 1 Abstract The question of Jewish ancestry has been the subject of controversy for over two centuries and has yet to be resolved. The “Rhineland Hypothesis” proposes that Eastern European Jews emerged from a small group of German Jews who migrated eastward and expanded rapidly. Alternatively, the “Khazarian Hypothesis” suggests that Eastern European descended from Judean tribes who joined the Khazars, an amalgam of Turkic clans that settled the Caucasus in the early centuries CE and converted to Judaism in the 8th century. The Judaized Empire was continuously reinforced with Mesopotamian and Greco-Roman Jews until the 13th century. Following the collapse of their empire, the Judeo-Khazars fled to Eastern Europe. The rise of European Jewry is therefore explained by the contribution of the Judeo-Khazars. Thus far, however, their contribution has been estimated only empirically; the absence of genome-wide data from Caucasus populations precluded testing the Khazarian Hypothesis. Recent sequencing of modern Caucasus populations prompted us to revisit the Khazarian Hypothesis and compare it with the Rhineland Hypothesis. -
1 the Genochip: a New Tool for Genetic Anthropology Eran Elhaik
The GenoChip: A New Tool for Genetic Anthropology Eran Elhaik1, Elliott Greenspan2, Sean Staats2, Thomas Krahn2, Chris Tyler-Smith3, Yali Xue3, Sergio Tofanelli4, Paolo Francalacci5, Francesco Cucca6, Luca Pagani3,7, Li Jin8, Hui Li8, Theodore G. Schurr9, Bennett Greenspan2, R. Spencer Wells10,* and the Genographic Consortium 1 Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205, USA 2 Family Tree DNA, Houston, TX 77008, USA 3 The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK 4 Department of Biology, University of Pisa, Italy 5 Department of Natural and Environmental Science, Evolutionary Genetics Lab, University of Sassari, Italy 6 National Research Council, Monserrato, Italy 7 Division of Biological Anthropology, University of Cambridge, UK 8 Fudan University, Shanghai, China 9 University of Pennsylvania, Philadelphia, PA 10 National Geographic Society, Washington DC, USA *Please address all correspondence to Spencer Wells at [email protected] 1 Abstract The Genographic Project is an international effort using genetic data to chart human migratory history. The project is non-profit and non-medical, and through its Legacy Fund supports locally led efforts to preserve indigenous and traditional cultures. While the first phase of the project was focused primarily on uniparentally-inherited markers on the Y-chromosome and mitochondrial DNA, the next is focusing on markers from across the entire genome to obtain a more complete understanding of human genetic variation. In this regard, genomic admixture is one of the most crucial tools that will help us to analyze the genetic makeup and shared history of human populations. -
Comparative Testing of DNA Segmentation Algorithms Using
Comparative Testing of DNA Segmentation Algorithms Using Benchmark Simulations Eran Elhaik,*,1 Dan Graur,1 and Kresˇimir Josic´2 1Department of Biology & Biochemistry, University of Houston 2Department of Mathematics, University of Houston *Corresponding author: E-mail: [email protected]. Associate editor: Hideki Innan Abstract Numerous segmentation methods for the detection of compositionally homogeneous domains within genomic sequences have been proposed. Unfortunately, these methods yield inconsistent results. Here, we present a benchmark consisting of Research article two sets of simulated genomic sequences for testing the performances of segmentation algorithms. Sequences in the first set are composed of fixed-sized homogeneous domains, distinct in their between-domain guanine and cytosine (GC) content variability. The sequences in the second set are composed of a mosaic of many short domains and a few long ones, distinguished by sharp GC content boundaries between neighboring domains. We use these sets to test the performance of seven segmentation algorithms in the literature. Our results show that recursive segmentation algorithms based on the Jensen–Shannon divergence outperform all other algorithms. However, even these algorithms perform poorly in certain instances because of the arbitrary choice of a segmentation-stopping criterion. Key words: isochores, GC content, segmentation algorithms, Jensen–Shannon divergence statistic, entropy, genome composition, benchmark simulations. Introduction into compositionally homogeneous domains according to predefined criteria. Segmentation methods include non- In 1976, Bernardi and colleagues (Macaya et al. 1976) put overlapping, sliding window methods (Bernardi 2001; Clay forward a theory concerning the compositional makeup of et al. 2001; International Human Genome Sequencing Con- vertebrate genomes. This description, later christened ‘‘the ´ isochore theory’’ (Cuny et al. -
As a Generative Model of Collective Cell Migration Mechanisms Arnab Barua1,2,6, Josue M
www.nature.com/scientificreports OPEN A least microenvironmental uncertainty principle (LEUP) as a generative model of collective cell migration mechanisms Arnab Barua1,2,6, Josue M. Nava‑Sedeño2,4,6, Michael Meyer‑Hermann1,3 & Haralampos Hatzikirou1,2,5* Collective migration is commonly observed in groups of migrating cells, in the form of swarms or aggregates. Mechanistic models have proven very useful in understanding collective cell migration. Such models, either explicitly consider the forces involved in the interaction and movement of individuals or phenomenologically defne rules which mimic the observed behavior of cells. However, mechanisms leading to collective migration are varied and specifc to the type of cells involved. Additionally, the precise and complete dynamics of many important chemomechanical factors infuencing cell movement, from signalling pathways to substrate sensing, are typically either too complex or largely unknown. The question is how to make quantitative/qualitative predictions of collective behavior without exact mechanistic knowledge. Here we propose the least microenvironmental uncertainty principle (LEUP) that may serve as a generative model of collective migration without precise incorporation of full mechanistic details. Using statistical physics tools, we show that the famous Vicsek model is a special case of LEUP. Finally, to test the biological applicability of our theory, we apply LEUP to construct a model of the collective behavior of spherical Serratia marcescens bacteria, where the underlying migration mechanisms remain elusive. Collective movement of dense populations is observed in several biological systems at diferent scales, from mas- sive migration of mammals 1 to cells during embryogenesis 2. In these systems, individuals which are able to propel themselves independently and interact with other nearby, start moving in a coordinated fashion once enough similar individuals are brought together. -
On the Unfounded Enthusiasm for Soft Selective Sweeps III: the Supervised Machine Learning Algorithm That Isn’T
G C A T T A C G G C A T genes Article On the Unfounded Enthusiasm for Soft Selective Sweeps III: The Supervised Machine Learning Algorithm That Isn’t Eran Elhaik 1,* and Dan Graur 2 1 Department of Biology, Lund University, Sölvegatan 35, 22362 Lund, Sweden 2 Department of Biology & Biochemistry, University of Houston, Science & Research Building 2, Suite #342, 3455 Cullen Bldv., Houston, TX 77204-5001, USA; [email protected] * Correspondence: [email protected] Abstract: In the last 15 years or so, soft selective sweep mechanisms have been catapulted from a curiosity of little evolutionary importance to a ubiquitous mechanism claimed to explain most adaptive evolution and, in some cases, most evolution. This transformation was aided by a series of articles by Daniel Schrider and Andrew Kern. Within this series, a paper entitled “Soft sweeps are the dominant mode of adaptation in the human genome” (Schrider and Kern, Mol. Biol. Evolut. 2017, 34(8), 1863–1877) attracted a great deal of attention, in particular in conjunction with another paper (Kern and Hahn, Mol. Biol. Evolut. 2018, 35(6), 1366–1371), for purporting to discredit the Neutral Theory of Molecular Evolution (Kimura 1968). Here, we address an alleged novelty in Schrider and Kern’s paper, i.e., the claim that their study involved an artificial intelligence technique called supervised machine learning (SML). SML is predicated upon the existence of a training dataset in which the correspondence between the input and output is known empirically to be true. Curiously, Schrider and Kern did not possess a training dataset of genomic segments known a priori to have evolved either neutrally or through soft or hard selective sweeps. -
Candida Albicans Quorum Sensing Molecules Stimulate Mouse Macrophage Migration Jessica C
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Kenneth Nickerson Papers Papers in the Biological Sciences 2015 Candida albicans Quorum Sensing Molecules Stimulate Mouse Macrophage Migration Jessica C. Hargarten University of Nebraska - Lincoln Tyler C. Moore University of Nebraska - Lincoln Thomas M. Petro University of Nebraska Medical Center, [email protected] Kenneth W. Nickerson University of Nebraska - Lincoln, [email protected] Audrey L. Atkin University of Nebraska - Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/bioscinickerson Part of the Environmental Microbiology and Microbial Ecology Commons, Other Life Sciences Commons, and the Pathogenic Microbiology Commons Hargarten, Jessica C.; Moore, Tyler C.; Petro, Thomas M.; Nickerson, Kenneth W.; and Atkin, Audrey L., "Candida albicans Quorum Sensing Molecules Stimulate Mouse Macrophage Migration" (2015). Kenneth Nickerson Papers. 1. https://digitalcommons.unl.edu/bioscinickerson/1 This Article is brought to you for free and open access by the Papers in the Biological Sciences at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Kenneth Nickerson Papers by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Candida albicans Quorum Sensing Molecules Stimulate Mouse Macrophage Migration Jessica C. Hargarten,a Tyler C. Moore,a* Thomas M. Petro,b Kenneth W. Nickerson,a Audrey L. Atkina School of Biological Sciences, University of Nebraska, Lincoln, Nebraska, USAa; Department of Oral Biology, University of Nebraska Medical Center, Lincoln, Nebraska, USAb The polymorphic commensal fungus Candida albicans causes life-threatening disease via bloodstream and intra-abdominal infections in immunocompromised and transplant patients. Although host immune evasion is a common strategy used by suc- cessful human fungal pathogens, C. -
From Cell to Multi-Crypt: Agent-Based Models of the Human Colon Suggests Novel Processes of Field Cancerisation
This is a repository copy of From cell to multi-crypt: Agent-based models of the human colon suggests novel processes of field cancerisation. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/155727/ Version: Accepted Version Article: Ingham-Dempster, T.A., Rosser, R., Corfe, B.M. et al. (1 more author) (2020) From cell to multi-crypt: Agent-based models of the human colon suggests novel processes of field cancerisation. Journal of Computational Science. 101066. ISSN 1877-7503 https://doi.org/10.1016/j.jocs.2019.101066 Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). Reuse This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) licence. This licence only allows you to download this work and share it with others as long as you credit the authors, but you can’t change the article in any way or use it commercially. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ From Cell to Multi-crypt: Agent-based Models of the Human Colon Suggests Novel Processes of Field Cancerisation Timothy A. Ingham-Dempster1,2,3, Ria Rosser2, Bernard M. Corfe,1,2, and Dawn C. -
Controlled Spatial Organization of Bacterial Clusters Reveals Cell Filamentation Is Vital for Xylella Fastidiosa Biofilm Formation
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.08.425936; this version posted January 11, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Controlled spatial organization of bacterial clusters reveals cell filamentation is vital for Xylella fastidiosa biofilm formation Silambarasan Anbumani1, Aldeliane M. da Silva,1 Eduarda Regina Fischer2, Mariana de Souza e Silva2, Antônio A.G. von Zuben1, Hernandes F. Carvalho3, Alessandra A. de Souza2, Richard Janissen4,* and Monica A. Cotta1,* 1Department of Applied Physics, Institute of Physics “Gleb Wataghin”, University of Campinas- 13083-859 Campinas, São Paulo, Brazil 2Citrus Center APTA “Sylvio Moreira” Agronomic Institute of Campinas 13490-970 Cordeirópolis, São Paulo, Brazil 3Department of Structural and Functional Biology, Institute of Biology, University of Campinas, 13083-862, Campinas, São Paulo, Brazil 4Kavli Institute of Nanoscience, Delft University of Technology, 2629 HZ Delft, The Netherlands *Corresponding authors: [email protected]; [email protected] KEYWORDS: Biofilm formation, filamentous cells, bacterial adhesion, gold micro patterning, quorum sensing, cell-cell communication, diffusive signaling factors ABSTRACT The morphological plasticity of bacteria to form filamentous cells commonly represents an adaptive strategy induced by stresses. In contrast, for diverse pathogens filamentous cells have been observed during biofilm formation, with function yet to be elucidated. To identify prior hypothesized quorum sensing as trigger of such cell morphogenesis, spatially controlled cell adhesion is pivotal. Here, we demonstrate highly-selective cell adhesion of the biofilm-forming phytopathogen Xylella fastidiosa to gold-patterned SiO2 substrates with well-defined geometries and dimensions.