STAT3 Gain-Of-Function Disease Fact Sheet
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The STAT3 Inhibitor Galiellalactone Reduces IL6-Mediated AR Activity in Benign and Malignant Prostate Models
Author Manuscript Published OnlineFirst on September 25, 2018; DOI: 10.1158/1535-7163.MCT-18-0508 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. The STAT3 inhibitor galiellalactone reduces IL6-mediated AR activity in benign and malignant prostate models Florian Handle1,2, Martin Puhr1, Georg Schaefer3, Nicla Lorito1, Julia Hoefer1, Martina Gruber1, Fabian Guggenberger1, Frédéric R. Santer1, Rute B. Marques4, Wytske M. van Weerden4, Frank Claessens2, Holger H.H. Erb5*, Zoran Culig1* 1 Division of Experimental Urology, Department of Urology, Medical University of Innsbruck, Innsbruck, Austria 2 Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium 3 Department of Pathology, Medical University of Innsbruck, Innsbruck, Austria 4 Department of Urology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands 5 Department of Urology and Pediatric Urology, University Medical Center Mainz, Mainz, Germany *Joint senior authors Running title: Galiellalactone reduces IL6-mediated AR activity Conflict of interest statement: Zoran Culig received research funding and honoraria from Astellas. Other authors declare no potential conflict of interest. Keywords (5): Prostate cancer, androgen receptor, Interleukin-6, STAT3, galiellalactone Financial support: This work was supported by grants from the Austrian Cancer Society/Tirol (to F. Handle) and the Austrian Science Fund (FWF): W1101-B12 (to Z. Culig). Corresponding author: Prof. Zoran Culig, Medical University of Innsbruck, Division of Experimental Urology, Anichstr. 35 6020 Innsbruck, Austria, [email protected] Word counts: Abstract: 242 (limit: 250); Text: 4993 (limit: 5000) Handle et al., 2018 1 Downloaded from mct.aacrjournals.org on October 1, 2021. -
Quantitative Modelling Explains Distinct STAT1 and STAT3
bioRxiv preprint doi: https://doi.org/10.1101/425868; this version posted September 24, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Title Quantitative modelling explains distinct STAT1 and STAT3 activation dynamics in response to both IFNγ and IL-10 stimuli and predicts emergence of reciprocal signalling at the level of single cells. 1,2, 3 1 1 1 1 1 2 Sarma U , Maitreye M , Bhadange S , Nair A , Srivastava A , Saha B , Mukherjee D . 1: National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India. 2 : Corresponding author. [email protected] , [email protected] 3: Present address. Labs, Persistent Systems Limited, Pingala – Aryabhata, Erandwane, Pune, 411004 India. bioRxiv preprint doi: https://doi.org/10.1101/425868; this version posted September 24, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract Cells use IFNγ-STAT1 and IL-10-STAT3 pathways primarily to elicit pro and anti-inflammatory responses, respectively. However, activation of STAT1 by IL-10 and STAT3 by IFNγ is also observed. The regulatory mechanisms controlling the amplitude and dynamics of both the STATs in response to these functionally opposing stimuli remains less understood. Here, our experiments at cell population level show distinct early signalling dynamics of both STAT1 and STAT3(S/1/3) in responses to IFNγ and IL-10 stimulation. -
Random Mutation and Natural Selection in Competitive and Non-Competitive Environments
ISSN: 2574-1241 Volume 5- Issue 4: 2018 DOI: 10.26717/BJSTR.2018.09.001751 Alan Kleinman. Biomed J Sci & Tech Res Mini Review Open Access Random Mutation and Natural Selection In Competitive and Non-Competitive Environments Alan Kleinman* Department of Medicine, USA Received: : September 10, 2018; Published: September 18, 2018 *Corresponding author: Alan Kleinman, PO BOX 1240, Coarsegold, CA 93614, USA Abstract Random mutation and natural selection occur in a variety of different environments. Three of the most important factors which govern the rate at which this phenomenon occurs is whether there is competition between the different variants for the resources of the environment or not whether the replicator can do recombination and whether the intensity of selection has an impact on the evolutionary trajectory. Two different experimental models of random mutation and natural selection are analyzed to determine the impact of competition on random mutation and natural selection. One experiment places the different variants in competition for the resources of the environment while the lineages are attempting to evolve to the selection pressure while the other experiment allows the lineages to grow without intense competition for the resources of the environment while the different lineages are attempting to evolve to the selection pressure. The mathematics which governs either experiment is discussed, and the results correlated to the medical problem of the evolution of drug resistance. Introduction important experiments testing the RMNS phenomenon. And how Random mutation and natural selection (RMNS) are a does recombination alter the evolutionary trajectory to a given phenomenon which works to defeat the treatments physicians use selection pressure? for infectious diseases and cancers. -
Plant Evolution an Introduction to the History of Life
Plant Evolution An Introduction to the History of Life KARL J. NIKLAS The University of Chicago Press Chicago and London CONTENTS Preface vii Introduction 1 1 Origins and Early Events 29 2 The Invasion of Land and Air 93 3 Population Genetics, Adaptation, and Evolution 153 4 Development and Evolution 217 5 Speciation and Microevolution 271 6 Macroevolution 325 7 The Evolution of Multicellularity 377 8 Biophysics and Evolution 431 9 Ecology and Evolution 483 Glossary 537 Index 547 v Introduction The unpredictable and the predetermined unfold together to make everything the way it is. It’s how nature creates itself, on every scale, the snowflake and the snowstorm. — TOM STOPPARD, Arcadia, Act 1, Scene 4 (1993) Much has been written about evolution from the perspective of the history and biology of animals, but significantly less has been writ- ten about the evolutionary biology of plants. Zoocentricism in the biological literature is understandable to some extent because we are after all animals and not plants and because our self- interest is not entirely egotistical, since no biologist can deny the fact that animals have played significant and important roles as the actors on the stage of evolution come and go. The nearly romantic fascination with di- nosaurs and what caused their extinction is understandable, even though we should be equally fascinated with the monarchs of the Carboniferous, the tree lycopods and calamites, and with what caused their extinction (fig. 0.1). Yet, it must be understood that plants are as fascinating as animals, and that they are just as important to the study of biology in general and to understanding evolutionary theory in particular. -
Local Drift Load and the Heterosis of Interconnected Populations
Heredity 84 (2000) 452±457 Received 5 November 1999, accepted 9 December 1999 Local drift load and the heterosis of interconnected populations MICHAEL C. WHITLOCK*, PAÈ R K. INGVARSSON & TODD HATFIELD Department of Zoology, University of British Columbia, Vancouver, BC, Canada V6T 1Z4 We use Wright's distribution of equilibrium allele frequency to demonstrate that hybrids between populations interconnected by low to moderate levels of migration can have large positive heterosis, especially if the populations are small in size. Bene®cial alleles neither ®x in all populations nor equilibrate at the same frequency. Instead, populations reach a mutation±selection±drift±migration balance with sucient among-population variance that some partially recessive, deleterious mutations can be masked upon crossbreeding. This heterosis is greatest with intermediate mutation rates, intermediate selection coecients, low migration rates and recessive alleles. Hybrid vigour should not be taken as evidence for the complete isolation of populations. Moreover, we show that heterosis in crosses between populations has a dierent genetic basis than inbreeding depression within populations and is much more likely to result from alleles of intermediate eect. Keywords: deleterious mutations, heterosis, hybrid ®tness, inbreeding depression, migration, population structure. Introduction genetic drift, producing ospring with higher ®tness than the parents (see recent reviews on inbreeding in Crow (1948) listed several reasons why crosses between Thornhill, 1993). Decades of work in agricultural individuals from dierent lines or populations might genetics con®rms this pattern: when divergent lines are have increased ®tness relative to more `pure-bred' crossed their F1 ospring often perform substantially 1individuals, so-called `hybrid vigour'. Crow commented better than the average of the parents (Falconer, 1981; on many possible mechanisms behind hybrid vigour, Mather & Jinks, 1982). -
Adaptive Tuning of Mutation Rates Allows Fast Response to Lethal Stress In
Manuscript 1 Adaptive tuning of mutation rates allows fast response to lethal stress in 2 Escherichia coli 3 4 a a a a a,b 5 Toon Swings , Bram Van den Bergh , Sander Wuyts , Eline Oeyen , Karin Voordeckers , Kevin J. a,b a,c a a,* 6 Verstrepen , Maarten Fauvart , Natalie Verstraeten , Jan Michiels 7 8 a 9 Centre of Microbial and Plant Genetics, KU Leuven - University of Leuven, Kasteelpark Arenberg 20, 10 3001 Leuven, Belgium b 11 VIB Laboratory for Genetics and Genomics, Vlaams Instituut voor Biotechnologie (VIB) Bioincubator 12 Leuven, Gaston Geenslaan 1, 3001 Leuven, Belgium c 13 Smart Systems and Emerging Technologies Unit, imec, Kapeldreef 75, 3001 Leuven, Belgium * 14 To whom correspondence should be addressed: Jan Michiels, Department of Microbial and 2 15 Molecular Systems (M S), Centre of Microbial and Plant Genetics, Kasteelpark Arenberg 20, box 16 2460, 3001 Leuven, Belgium, [email protected], Tel: +32 16 32 96 84 1 Manuscript 17 Abstract 18 19 While specific mutations allow organisms to adapt to stressful environments, most changes in an 20 organism's DNA negatively impact fitness. The mutation rate is therefore strictly regulated and often 21 considered a slowly-evolving parameter. In contrast, we demonstrate an unexpected flexibility in 22 cellular mutation rates as a response to changes in selective pressure. We show that hypermutation 23 independently evolves when different Escherichia coli cultures adapt to high ethanol stress. 24 Furthermore, hypermutator states are transitory and repeatedly alternate with decreases in mutation 25 rate. Specifically, population mutation rates rise when cells experience higher stress and decline again 26 once cells are adapted. -
Microevolution and the Genetics of Populations Microevolution Refers to Varieties Within a Given Type
Chapter 8: Evolution Lesson 8.3: Microevolution and the Genetics of Populations Microevolution refers to varieties within a given type. Change happens within a group, but the descendant is clearly of the same type as the ancestor. This might better be called variation, or adaptation, but the changes are "horizontal" in effect, not "vertical." Such changes might be accomplished by "natural selection," in which a trait within the present variety is selected as the best for a given set of conditions, or accomplished by "artificial selection," such as when dog breeders produce a new breed of dog. Lesson Objectives ● Distinguish what is microevolution and how it affects changes in populations. ● Define gene pool, and explain how to calculate allele frequencies. ● State the Hardy-Weinberg theorem ● Identify the five forces of evolution. Vocabulary ● adaptive radiation ● gene pool ● migration ● allele frequency ● genetic drift ● mutation ● artificial selection ● Hardy-Weinberg theorem ● natural selection ● directional selection ● macroevolution ● population genetics ● disruptive selection ● microevolution ● stabilizing selection ● gene flow Introduction Darwin knew that heritable variations are needed for evolution to occur. However, he knew nothing about Mendel’s laws of genetics. Mendel’s laws were rediscovered in the early 1900s. Only then could scientists fully understand the process of evolution. Microevolution is how individual traits within a population change over time. In order for a population to change, some things must be assumed to be true. In other words, there must be some sort of process happening that causes microevolution. The five ways alleles within a population change over time are natural selection, migration (gene flow), mating, mutations, or genetic drift. -
Transcription Factor IRF8 Directs a Silencing Programme for TH17 Cell Differentiation
ARTICLE Received 17 Aug 2010 | Accepted 13 Apr 2011 | Published 17 May 2011 DOI: 10.1038/ncomms1311 Transcription factor IRF8 directs a silencing programme for TH17 cell differentiation Xinshou Ouyang1, Ruihua Zhang1, Jianjun Yang1, Qingshan Li1, Lihui Qin2, Chen Zhu3, Jianguo Liu4, Huan Ning4, Min Sun Shin5, Monica Gupta6, Chen-Feng Qi5, John Cijiang He1, Sergio A. Lira1, Herbert C. Morse III5, Keiko Ozato6, Lloyd Mayer1 & Huabao Xiong1 TH17 cells are recognized as a unique subset of T helper cells that have critical roles in the pathogenesis of autoimmunity and tissue inflammation. Although OR Rγt is necessary for the generation of TH17 cells, the molecular mechanisms underlying the functional diversity of TH17 cells are not fully understood. Here we show that a member of interferon regulatory factor (IRF) family of transcription factors, IRF8, has a critical role in silencing TH17-cell differentiation. Mice with a conventional knockout, as well as a T cell-specific deletion, of the Irf8 gene exhibited more efficient TH17 cells. Indeed, studies of an experimental model of colitis showed that IRF8 deficiency resulted in more severe inflammation with an enhanced TH17 phenotype. IRF8 was induced steadily and inhibited TH17-cell differentiation during TH17 lineage commitment at least in part through its physical interaction with RORγt. These findings define IRF8 as a novel intrinsic transcriptional inhibitor of TH17-cell differentiation. 1 Immunology Institute, Department of Medicine, Mount Sinai School of Medicine, 1 Gustave L. Levy Place, New York, New York 10029, USA. 2 Department of Pathology, Mount Sinai School of Medicine, New York, New York 10029, USA. -
•How Does Microevolution Add up to Macroevolution? •What Are Species
Microevolution and Macroevolution • How does Microevolution add up to macroevolution? • What are species? • How are species created? • What are anagenesis and cladogenesis? 1 Sunday, March 6, 2011 Species Concepts • Biological species concept: Defines species as interbreeding populations reproductively isolated from other such populations. • Evolutionary species concept: Defines species as evolutionary lineages with their own unique identity. • Ecological species concept: Defines species based on the uniqueness of their ecological niche. • Recognition species concept: Defines species based on unique traits or behaviors that allow members of one species to identify each other for mating. 2 Sunday, March 6, 2011 Reproductive Isolating Mechanisms • Premating RIMs Habitat isolation Temporal isolation Behavioral isolation Mechanical incompatibility • Postmating RIMs Sperm-egg incompatibility Zygote inviability Embryonic or fetal inviability 3 Sunday, March 6, 2011 Modes of Evolutionary Change 4 Sunday, March 6, 2011 Cladogenesis 5 Sunday, March 6, 2011 6 Sunday, March 6, 2011 7 Sunday, March 6, 2011 Evolution is “the simple way by which species (populations) become exquisitely adapted to various ends” 8 Sunday, March 6, 2011 All characteristics are due to the four forces • Mutation creates new alleles - new variation • Genetic drift moves these around by chance • Gene flow moves these from one population to the next creating clines • Natural selection increases and decreases them in frequency through adaptation 9 Sunday, March 6, 2011 Clines -
IL-17-Secreting Th Cells Stat3 and Stat4 Direct Development Of
Stat3 and Stat4 Direct Development of IL-17-Secreting Th Cells Anubhav N. Mathur, Hua-Chen Chang, Dimitrios G. Zisoulis, Gretta L. Stritesky, Qing Yu, John T. O'Malley, This information is current as Reuben Kapur, David E. Levy, Geoffrey S. Kansas and Mark of September 29, 2021. H. Kaplan J Immunol 2007; 178:4901-4907; ; doi: 10.4049/jimmunol.178.8.4901 http://www.jimmunol.org/content/178/8/4901 Downloaded from References This article cites 38 articles, 15 of which you can access for free at: http://www.jimmunol.org/content/178/8/4901.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 29, 2021 *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2007 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Stat3 and Stat4 Direct Development of IL-17-Secreting Th Cells1 Anubhav N. Mathur,2*† Hua-Chen Chang,2*† Dimitrios G. Zisoulis,‡ Gretta L. -
Modulation of STAT Signaling by STAT-Interacting Proteins
Oncogene (2000) 19, 2638 ± 2644 ã 2000 Macmillan Publishers Ltd All rights reserved 0950 ± 9232/00 $15.00 www.nature.com/onc Modulation of STAT signaling by STAT-interacting proteins K Shuai*,1 1Departments of Medicine and Biological Chemistry, University of California, Los Angeles, California, CA 90095, USA STATs (signal transducer and activator of transcription) play important roles in numerous cellular processes Interaction with non-STAT transcription factors including immune responses, cell growth and dierentia- tion, cell survival and apoptosis, and oncogenesis. In Studies on the promoters of a number of IFN-a- contrast to many other cellular signaling cascades, the induced genes identi®ed a conserved DNA sequence STAT pathway is direct: STATs bind to receptors at the named ISRE (interferon-a stimulated response element) cell surface and translocate into the nucleus where they that mediates IFN-a response (Darnell, 1997; Darnell function as transcription factors to trigger gene activa- et al., 1994). Stat1 and Stat2, the ®rst known members tion. However, STATs do not act alone. A number of of the STAT family, were identi®ed in the transcription proteins are found to be associated with STATs. These complex ISGF-3 (interferon-stimulated gene factor 3) STAT-interacting proteins function to modulate STAT that binds to ISRE (Fu et al., 1990, 1992; Schindler et signaling at various steps and mediate the crosstalk of al., 1992). ISGF-3 consists of a Stat1:Stat2 heterodimer STATs with other cellular signaling pathways. This and a non-STAT protein named p48, a member of the article reviews the roles of STAT-interacting proteins in IRF (interferon regulated factor) family (Levy, 1997). -
Mutation Versus Variant?
GUEST EDITORIAL Garry Cutting What’s in a Name: Mutation versus Variant? Effective communication between scientists and the public requires word (Condit et al., 2002). The problem of inferring delete- the use of words that have well-understood meanings. Similarly, rious consequences when using the term “mutation” is that some use of a word that means one thing to scientists but something changes in DNA are advantageous from an evolutionary point Downloaded from http://online.ucpress.edu/abt/article-pdf/77/3/160/58360/abt_2015_77_3_1.pdf by guest on 02 October 2021 else to the lay public can lead to confusion. This situation can arise of view. On the other hand, “variant” is usually defined in terms when words change in their meaning over time in scientific cir- of an organism that differs in some way from an accepted stan- cles but not among the public, and vice versa. On occasion, disso- dard. “Variant” can also be used for phenotypic differences that nance between scientific and societal definitions can cause terms to are not genetic (King & Stansfield, 2002). The application of the acquire a stigma. This issue is particularly important when scientific term “variant” to changes in DNA structure was popularized by terms are used in medical situations. Certain words may invoke genome-wide association studies of common disorders. “Variant” a very different impression for a patient than was intended by a as opposed to “mutation” is preferred because most of the DNA medical professional. For example, the term “mental retardation” alterations that contribute risk to complex genetic conditions are is defined scientifically on the basis of the population distribution of unknown effect and are frequent in the population.