ILASOL 2021 – Book of Abstracts
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Structural Data in Synthetic Biology Approaches for Studying General Design Principles of Cellular Signaling Networks
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Structure Perspective Structural Data in Synthetic Biology Approaches for Studying General Design Principles of Cellular Signaling Networks Christina Kiel1,2,* and Luis Serrano1,2,3 1EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003 Barcelona, Spain 2Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain 3ICREA, Pg. Lluı´s Companys 23, 08010 Barcelona, Spain *Correspondence: [email protected] http://dx.doi.org/10.1016/j.str.2012.10.002 In recent years, high-throughput discovery of macromolecular protein structures and complexes has played a major role in advancing a more systems-oriented view of protein interaction and signaling networks. The design of biological systems often employs structural information or structure-based protein design to successfully implement synthetic signaling circuits or for rewiring signaling flows. Here, we summarize the latest advances in using structural information for studying protein interaction and signaling networks, and in synthetic biology approaches. We then provide a perspective of how combining structural biology with engineered cell signaling modules—using additional information from quantitative biochemistry and proteo- mics, gene evolution, and mathematical modeling—can provide insight into signaling modules and the general design principles of cell signaling. Ultimately, this will improve our understanding of cell- and tissue-type-specific signal transduction. Integrating the quantitative effects of disease mutations into these systems may provide a basis for elucidating the molecular mechanisms of diseases. Introduction further complicated by the fact that often proteins recruit binding There is growing three-dimensional (3D) structural information partners using several domain or linear motifs. -
Prebiological Evolution and the Metabolic Origins of Life
Prebiological Evolution and the Andrew J. Pratt* Metabolic Origins of Life University of Canterbury Keywords Abiogenesis, origin of life, metabolism, hydrothermal, iron Abstract The chemoton model of cells posits three subsystems: metabolism, compartmentalization, and information. A specific model for the prebiological evolution of a reproducing system with rudimentary versions of these three interdependent subsystems is presented. This is based on the initial emergence and reproduction of autocatalytic networks in hydrothermal microcompartments containing iron sulfide. The driving force for life was catalysis of the dissipation of the intrinsic redox gradient of the planet. The codependence of life on iron and phosphate provides chemical constraints on the ordering of prebiological evolution. The initial protometabolism was based on positive feedback loops associated with in situ carbon fixation in which the initial protometabolites modified the catalytic capacity and mobility of metal-based catalysts, especially iron-sulfur centers. A number of selection mechanisms, including catalytic efficiency and specificity, hydrolytic stability, and selective solubilization, are proposed as key determinants for autocatalytic reproduction exploited in protometabolic evolution. This evolutionary process led from autocatalytic networks within preexisting compartments to discrete, reproducing, mobile vesicular protocells with the capacity to use soluble sugar phosphates and hence the opportunity to develop nucleic acids. Fidelity of information transfer in the reproduction of these increasingly complex autocatalytic networks is a key selection pressure in prebiological evolution that eventually leads to the selection of nucleic acids as a digital information subsystem and hence the emergence of fully functional chemotons capable of Darwinian evolution. 1 Introduction: Chemoton Subsystems and Evolutionary Pathways Living cells are autocatalytic entities that harness redox energy via the selective catalysis of biochemical transformations. -
Synthetic Biology Applying Engineering to Biology
Synthetic Biology Applying Engineering to Biology Report of a NEST High-Level Expert Group EUR 21796 PROJECT REPORT Interested in European research? RTD info is our quarterly magazine keeping you in touch with main developments (results, programmes, events, etc). It is available in English, French and German. A free sample copy or free subscription can be obtained from: European Commission Directorate-General for Research Information and Communication Unit B-1049 Brussels Fax : (32-2) 29-58220 E-mail: [email protected] Internet: http://europa.eu.int/comm/research/rtdinfo/index_en.html EUROPEAN COMMISSION Directorate-General for Research Directorate B — Structuring the European Research Area Unit B1 — Anticipation of Scientific and Technological Needs (NEST activity); Basic Research E-mail: [email protected] Contact: Christian Krassnig European Commission Office SDME 01/37 B-1049 Brussels Tel. (32-2) 29-86445 Fax (32-2) 29-93173 E-mail: [email protected] For further information on the NEST activity please refer to the following website: http://www.cordis.lu/nest/home.html EUROPEAN COMMISSION Synthetic Biology Applying Engineering to Biology Report of a NEST High-Level Expert Group NEST - New and Energing Science and Technology - is a research activity under the European Community’s 6th Framework Programme Directorate-General for Research Structuring the European Research Area 2005 Anticipating Scientific and Technological Needs; Basic Research EUR 21796 Europe Direct is a service to help you find answers to your questions about the European Union Freephone number: 00 800 6 7 8 9 10 11 LEGAL NOTICE: Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of the following information. -
Biochemistry Biotechnology Cell Biology
Undergraduate Biochemistry Opportunities www.ed.ac.uk/biology Biotechnology Cell Biology Biochem_Biotech_CellBio_A5.indd 1 21/05/2019 14:25 Biochemistry The programme combines coverage of the Biochemistry is the study of living systems at basic principles and knowledge underpinning the cellular and molecular level. This dynamic biotechnology and an appreciation of the field draws on a variety of subjects and has processes involved in converting an idea widespread application. Biochemistry applies a into a product. The objective is to provide a knowledge of chemistry and physical sciences firm foundation in molecular and microbial to investigate basic life processes. The subject biotechnology through compulsory sections has a major impact on modern medical research dealing with topics such as expression vectors, and upon the pharmaceutical, bioengineering, microbial fermentation, protein structure, drug agricultural and environmental industries. design and the development of antimicrobials and vaccines. The programme encourages the critical assessment of current developments in areas of Cell Biology biological interest. Modern cell biology is a dynamic discipline that combines the interests and techniques of many Biotechnology scientific fields. Cell biologists investigate the Biotechnology is concerned with industrial basic structural and functional units of life, the and biomedical applications of fundamental cells that compose all living organisms. They aim knowledge derived from biology. This covers to understand: cellular structure, composition many facets from making useful products and regulation, the organelles that cells contain, using microbial, plant or animal cells to using cell growth, nuclear and cellular division, and bioinformatics and structural biology to design cell death. Understanding how cells work is new drugs. Biotechnology is an exciting area fundamental to many areas of biology and is of with new developments each year in areas that particular importance to fields such as cancer affect us all. -
BCH 6746: Structural Biology Course Prerequisites: CRN 12063 Section 001, 3 Credit Hours
Please note: Each college and department may have their own requirements, in addition to those stated in the Syllabus Guidelines. BCH 6746: Structural Biology Course Prerequisites: CRN 12063 Section 001, 3 Credit hours College of Arts and Sciences, CMMB COURSE SYLLABUS Insert USF Logo here Instructor Name: Yu Chen Semester/Term & Year: Spring 2019 Class Meeting Days: TR Class Meeting Time: 11:00 – 12:20 pm Class Meeting Location: MDC 1507 Lab Meeting Location: N/A Delivery Method: Lecture I. Welcome! II. University Course Description The theory and application of modern physical biochemical techniques. III. Course Objectives This course focuses on relating theoretical concepts and experimental approaches to a wide range of potential research problems in the area of structural biology. The course aims to provide a solid foundation and breadth of understanding in structural biology that will facilitate application to current and future research problems. IV. Course Purpose Major Topics: Introduction to Structural Biology; From Structure to Function I; From Structure to Function II; From Structure to Function III; From Structure fo Function IV; Control of Protein Function I; Strategies for Protein Separation; Strategies for Protein Identification; Chemical and Immunochemical Probes of Structure; Methods in Structural Bio I, II, II; Structure Determination I, II, III, IV; Control of Protein Function II, III, IV V. Learning Outcomes Students will gain an understanding of the basic science of Protein Structure, including first principles of the physical interactions that maintain proteins and the mechanisms that make them tic. They will also learn about different techniques and experimental approaches that represent the state-of-the-art and are widely used in the study of proteins. -
MATHEMATICAL TECHNIQUES in STRUCTURAL BIOLOGY Contents 0. Introduction 4 1. Molecular Genetics: DNA 6 1.1. Genetic Code 6 1.2. T
MATHEMATICAL TECHNIQUES IN STRUCTURAL BIOLOGY J. R. QUINE Contents 0. Introduction 4 1. Molecular Genetics: DNA 6 1.1. Genetic code 6 1.2. The geometry of DNA 6 1.3. The double helix 6 1.4. Larger organization of DNA 7 1.5. DNA and proteins 7 1.6. Problems 7 2. Molecular Genetics: Proteins 10 2.1. Amino Acids 10 2.2. The genetic code 10 2.3. Amino acid template 11 2.4. Tetrahedral geometry 11 2.5. Amino acid structure 13 2.6. The peptide bond 13 2.7. Protein structure 14 2.8. Secondary structure 14 3. Frames and moving frames 19 3.1. Basic definitions 19 3.2. Frames and gram matrices 19 3.3. Frames and rotations 20 3.4. Frames fixed at a point 20 3.5. The Frenet Frame 20 3.6. The coiled-coil 22 3.7. The Frenet formula 22 3.8. Problems 24 4. Orthogonal transformations and Rotations 25 4.1. The rotation group 25 4.2. Complex form of a rotation 28 4.3. Eigenvalues of a rotation 28 4.4. Properties of rotations 29 4.5. Problems 30 5. Torsion angles and pdb files 33 5.1. Torsion Angles 33 5.2. The arg function 34 5.3. The torsion angle formula 34 5.4. Protein torsion angles. 35 5.5. Protein Data Bank files. 35 1 2 J. R. QUINE 5.6. Ramachandran diagram 36 5.7. Torsion angles on the diamond packing 37 5.8. Appendix, properties of cross product 38 5.9. Problems 38 6. -
Lack of Evolvability in Self-Sustaining Autocatalytic Networks Constraints Metabolism-first Scenarios for the Origin of Life
Lack of evolvability in self-sustaining autocatalytic networks constraints metabolism-first scenarios for the origin of life Vera Vasasa,b, Eörs Szathmárya,b,c,1, and Mauro Santosa,d aCollegium Budapest, Institute for Advanced Study, H-1014 Budapest, Hungary; bInstitute of Biology, Eötvös University, H-1117 Budapest, Hungary; cParmenides Center for the Study of Thinking, Munich D-80333, Germany; and dDepartament de Genètica i de Microbiologia, Grup de Biologia Evolutiva, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain Edited by Gerald F. Joyce, The Scripps Research Institute, La Jolla, CA, and approved December 3, 2009 (received for review November 3, 2009) A basic property of life is its capacity to experience Darwinian reactions that may deplete certain reactants (12) and dynamical evolution. The replicator concept is at the core of genetics-first aspects of autocatalytic cycles if they are assumed to coexist in theories of the origin of life, which suggest that self-replicating abstract space (13). Even if we ignore such hurdles, the key oligonucleotides or their similar ancestors may have been the first question still remains: Was a network of chemical reactions able to “living” systems and may have led to the evolution of an RNA increase in complexity and eventually undergo Darwinian selec- world. But problems with the nonenzymatic synthesis of biopol- tion as assumed by their advocates? A basic condition for any ymers and the origin of template replication have spurred the nascent Darwinian process in a population of self-reproducing alternative metabolism-first scenario, where self-reproducing systems is that they must have a sort of hereditary transmission and evolving proto-metabolic networks are assumed to have pre- which requires, in turn, becoming familiar with a lesser-known and dated self-replicating genes. -
The Origin of Life: What We Do and Don't Know
The Origin of Life: What We Do and Don’t Know Jim Cleaves Blue Marble Space Institute for Science Image courtesy of the American Museum of Natural History How Do We Think Life Began on Earth? A View from 38 Years Ago… “It must be admitted from the beginning that we do not know how life began. It is generally believed that a variety of processes led to the formation of simple organic compounds on the primitive Earth. These compounds combined together to give more and more complex structures until one was formed that could be called living. No one should be satisfied with an explanation as general as this.” S.L. Miller and L.E. Orgel, The Origins of Life on Earth, 1974 NSCORT Exobiology Modern Historical Background Oparin postulated the self-organization of environmentally supplied compounds produced in an environment different from the modern one (e.g. with a different atmosphere); this was an outgrowth of 19th c. thinking on the problem. A.I. Oparin H.C. Urey S.L. Miller 1894-1980 1930-2007 1893-1981 Urey extended Oparin’s model to ideas corroborated by mid-20th c. conceptions of the origin of the solar system, backed up discoveries in isotope geochemistry. Miller’s electric discharge experiment provided an experimental validation of the possible link between the two concepts. The Origin of Biochemistry (as a Scientific Field) First amino acid discovered in 1806 (asparagine, interestingly threonine not until 1936!). Proteins were not identified as such until 1838; the role of amino acids in forming them was not understood until the 1860’s. -
Lack of Evolvability in Self-Sustaining Autocatalytic Networks Constraints Metabolism-first Scenarios for the Origin of Life
Lack of evolvability in self-sustaining autocatalytic networks constraints metabolism-first scenarios for the origin of life Vera Vasasa,b, Eörs Szathmárya,b,c,1, and Mauro Santosa,d aCollegium Budapest, Institute for Advanced Study, H-1014 Budapest, Hungary; bInstitute of Biology, Eötvös University, H-1117 Budapest, Hungary; cParmenides Center for the Study of Thinking, Munich D-80333, Germany; and dDepartament de Genètica i de Microbiologia, Grup de Biologia Evolutiva, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain Edited by Gerald F. Joyce, The Scripps Research Institute, La Jolla, CA, and approved December 3, 2009 (received for review November 3, 2009) A basic property of life is its capacity to experience Darwinian reactions that may deplete certain reactants (12) and dynamical evolution. The replicator concept is at the core of genetics-first aspects of autocatalytic cycles if they are assumed to coexist in theories of the origin of life, which suggest that self-replicating abstract space (13). Even if we ignore such hurdles, the key oligonucleotides or their similar ancestors may have been the first question still remains: Was a network of chemical reactions able to “living” systems and may have led to the evolution of an RNA increase in complexity and eventually undergo Darwinian selec- world. But problems with the nonenzymatic synthesis of biopol- tion as assumed by their advocates? A basic condition for any ymers and the origin of template replication have spurred the nascent Darwinian process in a population of self-reproducing alternative metabolism-first scenario, where self-reproducing systems is that they must have a sort of hereditary transmission and evolving proto-metabolic networks are assumed to have pre- which requires, in turn, becoming familiar with a lesser-known and dated self-replicating genes. -
Micelles As Containers for Protocells
Beitr¨age des Instituts f¨urUmweltsystemforschung der Universit¨atOsnabr¨uck Herausgeber: Prof. Dr. Michael Matthies Beitrag Nr. 33 Micelles as Containers for Protocells Harold Fellermann Dezember 2005 ISSN-Nr. 1433-3805 Beitr¨age des Instituts f¨urUmweltsystemforschung der Universit¨atOsnabr¨uck ISSN 1433-3805 Herausgeber Prof. Dr. Michael Matthies Universit¨at Osnabr¨uck Institut f¨urUmweltsystemforschung Artilleriestr. 34 D-49069 Osnabr¨uck Tel. 0541/969-2575 Fax. 0541/969-2599 E-Mail: [email protected] http://www.usf.uni-osnabrueck.de c USF – Institut f¨urUmweltsystemforschung, Universit¨atOsnabr¨uck Abstract We extended the mesoscopic simulation method Dissipative Particle Dynamics to incorporate chemical reactions on the basis of rate equations. With the extended model, we analyzed micellar systems in the context of early life and artificial proto- cells. We studied whether micelles have the potential to serve as embodiments for protocells, i. e. whether they are able to grow in size and divide into two daughter cells. It was found that the ability of micelles to grow depends on the pathway new surfactants are provided: micelles grow only if new surfactants are provided faster than the monomers dissociate from the assembly. We compared the growth scenario of two distinct scenarios that envision micelles as protocells: the origin of life theory “Lipid World” and the currently explored artificial protocell “Los Alamos bug”. We found that relaxation in micellar kinetics is likely to jeopardize the pathway proposed by the Lipid World theory, but not the “Los Alamos bug”. We finally developed a toy model that delineates the whole life-cycle of the “Los Alamos bug”. -
The Institute of Botany
FEATURE ARTICLE Taiwan’s Academia Sinica Forges Ahead Research in the life sciences has expanded and improved, and is conforming to international standards institutes and research projects, to promote academic collaboration between Taiwan and other countries, and to make plans for academic development when requested by the government. It is also responsible for nominating three candidates for the presidency when the president vacates, as well as formulation of rules pertaining to the Academia. The Central Advisory Committee consists of chairpersons of the advisory committee of the individual institutes, and two to three specialists from each of the Academia’s three divisions. One of the vice presidents of the Academia serves as its chairperson. The committee recruits national and international specialists for the Academia and also creates long-term interdisciplinary research plans. It is also he development of science and 188 associate research fellows, 134 responsible for evaluating and promoting T technology has been given much assistant research fellows, 123 assistant inter-institutional large-scale research importance by the Taiwan government in fellows, and 20 research assistants. projects, evaluating applications of recent years. This can be seen from the postdoctoral researchers, and selecting Organization increased expenditure on science and winners for the Academia’s annual technology, and the annual increase in The Academia is headed by Dr. Yuan- awards for outstanding publications by national R&D budget. The government Tseh Lee, its president. Dr. Lee is the junior research faculties. is determined to improve the quality of 1986 Nobel Laureate in Chemistry. He Division of Life Sciences research carried out in the country. -
Journal of Molecular Biology
JOURNAL OF MOLECULAR BIOLOGY AUTHOR INFORMATION PACK TABLE OF CONTENTS XXX . • Description p.1 • Audience p.2 • Impact Factor p.2 • Abstracting and Indexing p.2 • Editorial Board p.2 • Guide for Authors p.6 ISSN: 0022-2836 DESCRIPTION . Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions. Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology Cell cycle, cell growth, cell differentiation Cell death, autophagy Cell signaling and regulation Chemical biology Computational biology, in combination with experimental studies DNA replication, repair, and recombination Development, regenerative biology, mechanistic and functional studies of stem cells Epigenetics, chromatin structure and function Gene expression Receptors, channels, and transporters Membrane processes Cell surface proteins and cell adhesion Methodological advances, both experimental and theoretical, including databases Microbiology, virology, and interactions with the host or environment Microbiota mechanistic and functional studies Nuclear organization Post-translational modifications, proteomics Processing and function of biologically