Current Opinion in Structural Biology
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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. -
Improving the Prediction of Transcription Factor Binding Sites To
Improving the prediction of transcription factor binding sites to aid the interpretation of non-coding single nucleotide variants. Narayan Jayaram Research Department of Structural and Molecular Biology University College London A thesis submitted to University College London for the degree of Doctor of Philosophy 1 Declaration I, Narayan Jayaram confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Narayan Jayaram 2 Abstract Single nucleotide variants (SNVs) that occur in transcription factor binding sites (TFBSs) can disrupt the binding of transcription factors and alter gene expression which can cause inherited diseases and act as driver SNVs in cancer. The identification of SNVs in TFBSs has historically been challenging given the limited number of experimentally characterised TFBSs. The recent ENCODE project has resulted in the availability of ChIP-Seq data that provides genome wide sets of regions bound by transcription factors. These data have the potential to improve the identification of SNVs in TFBSs. However, as the ChIP-Seq data identify a broader range of DNA in which a transcription factor binds, computational prediction is required to identify the precise TFBS. Prediction of TFBSs involves scanning a DNA sequence with a Position Weight Matrix (PWM) using a pattern matching tool. This thesis focusses on the prediction of TFBSs by: (a) evaluating a set of locally-installable pattern-matching tools and identifying the best performing tool (FIMO), (b) using the ENCODE ChIP-Seq data to evaluate a set of de novo motif discovery tools that are used to derive PWMs which can handle large volumes of data, (c) identifying the best performing tool (rGADEM), (d) using rGADEM to generate a set of PWMs from the ENCODE ChIP-Seq data and (e) by finally checking that the selection of the best pattern matching tool is not unduly influenced by the choice of PWMs. -
Applied Category Theory for Genomics – an Initiative
Applied Category Theory for Genomics { An Initiative Yanying Wu1,2 1Centre for Neural Circuits and Behaviour, University of Oxford, UK 2Department of Physiology, Anatomy and Genetics, University of Oxford, UK 06 Sept, 2020 Abstract The ultimate secret of all lives on earth is hidden in their genomes { a totality of DNA sequences. We currently know the whole genome sequence of many organisms, while our understanding of the genome architecture on a systematic level remains rudimentary. Applied category theory opens a promising way to integrate the humongous amount of heterogeneous informations in genomics, to advance our knowledge regarding genome organization, and to provide us with a deep and holistic view of our own genomes. In this work we explain why applied category theory carries such a hope, and we move on to show how it could actually do so, albeit in baby steps. The manuscript intends to be readable to both mathematicians and biologists, therefore no prior knowledge is required from either side. arXiv:2009.02822v1 [q-bio.GN] 6 Sep 2020 1 Introduction DNA, the genetic material of all living beings on this planet, holds the secret of life. The complete set of DNA sequences in an organism constitutes its genome { the blueprint and instruction manual of that organism, be it a human or fly [1]. Therefore, genomics, which studies the contents and meaning of genomes, has been standing in the central stage of scientific research since its birth. The twentieth century witnessed three milestones of genomics research [1]. It began with the discovery of Mendel's laws of inheritance [2], sparked a climax in the middle with the reveal of DNA double helix structure [3], and ended with the accomplishment of a first draft of complete human genome sequences [4]. -
A Community Proposal to Integrate Structural
F1000Research 2020, 9(ELIXIR):278 Last updated: 11 JUN 2020 OPINION ARTICLE A community proposal to integrate structural bioinformatics activities in ELIXIR (3D-Bioinfo Community) [version 1; peer review: 1 approved, 3 approved with reservations] Christine Orengo1, Sameer Velankar2, Shoshana Wodak3, Vincent Zoete4, Alexandre M.J.J. Bonvin 5, Arne Elofsson 6, K. Anton Feenstra 7, Dietland L. Gerloff8, Thomas Hamelryck9, John M. Hancock 10, Manuela Helmer-Citterich11, Adam Hospital12, Modesto Orozco12, Anastassis Perrakis 13, Matthias Rarey14, Claudio Soares15, Joel L. Sussman16, Janet M. Thornton17, Pierre Tuffery 18, Gabor Tusnady19, Rikkert Wierenga20, Tiina Salminen21, Bohdan Schneider 22 1Structural and Molecular Biology Department, University College, London, UK 2Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, CB10 1SD, UK 3VIB-VUB Center for Structural Biology, Brussels, Belgium 4Department of Oncology, Lausanne University, Swiss Institute of Bioinformatics, Lausanne, Switzerland 5Bijvoet Center, Faculty of Science – Chemistry, Utrecht University, Utrecht, 3584CH, The Netherlands 6Science for Life Laboratory, Stockholm University, Solna, S-17121, Sweden 7Dept. Computer Science, Center for Integrative Bioinformatics VU (IBIVU), Vrije Universiteit, Amsterdam, 1081 HV, The Netherlands 8Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, L-4367, Luxembourg 9Bioinformatics center, Department of Biology, University of Copenhagen, Copenhagen, DK-2200, -
Tissue and Cell
TISSUE AND CELL AUTHOR INFORMATION PACK TABLE OF CONTENTS XXX . • Description p.1 • Impact Factor p.1 • Abstracting and Indexing p.1 • Editorial Board p.1 • Guide for Authors p.3 ISSN: 0040-8166 DESCRIPTION . Tissue and Cell is devoted to original research on the organization of cells, subcellular and extracellular components at all levels, including the grouping and interrelations of cells in tissues and organs. The journal encourages submission of ultrastructural studies that provide novel insights into structure, function and physiology of cells and tissues, in health and disease. Bioengineering and stem cells studies focused on the description of morphological and/or histological data are also welcomed. Studies investigating the effect of compounds and/or substances on structure of cells and tissues are generally outside the scope of this journal. For consideration, studies should contain a clear rationale on the use of (a) given substance(s), have a compelling morphological and structural focus and present novel incremental findings from previous literature. IMPACT FACTOR . 2020: 2.466 © Clarivate Analytics Journal Citation Reports 2021 ABSTRACTING AND INDEXING . Scopus PubMed/Medline Cambridge Scientific Abstracts Current Awareness in Biological Sciences Current Contents - Life Sciences Embase Embase Science Citation Index Web of Science EDITORIAL BOARD . Editor Pietro Lupetti, University of Siena, Siena, Italy AUTHOR INFORMATION PACK 1 Oct 2021 www.elsevier.com/locate/tice 1 Managing Editor Giacomo Spinsanti, University of Siena, -
SD Gross BFI0403
Janet Thornton Bioinformatician avant la lettre Michael Gross B ioinformatics is very much a buzzword of our time, with new courses and institutes dedicated to it sprouting up almost everywhere. Most significantly, the flood of genome data has raised the gen- eral awareness of the need to deve-lop new computational approaches to make sense of all the raw information collected. Professor Janet Thornton, the current director of the European Bioinformatics Institute (EBI), an EMBL outpost based at the Hinxton campus near Cambridge, has been in the field even before there was a word for it. Coming to structural biology with a physics degree from the University of Nottingham, she was already involved with computer-generated structural im- ages in the 1970s, when personal comput- ers and user-friendly programs had yet to be invented. The Early Years larities. Within 15 minutes, the software From there to the EBI, her remarkable Janet Thornton can check all 2.4 billion possible re- career appears to be organised in lationships and pick the ones relevant decades. During the 1970s, she did doc- software to compare structures to each to the question at hand. In comparison toral and post-doctoral research at other, recognise known folds and spot to publicly available bioinformatics the Molecular Biophysics Laboratory in new ones. Such work provides both packages such as Blast or Psiblast, Oxford and at the National Institute for fundamental insights into the workings Biopendium can provide an additional Medical Research in Mill Hill, near Lon- of evolution on a molecular level, and 30 % of annotation, according to Inphar- don. -
Functional Effects Detailed Research Plan
GeCIP Detailed Research Plan Form Background The Genomics England Clinical Interpretation Partnership (GeCIP) brings together researchers, clinicians and trainees from both academia and the NHS to analyse, refine and make new discoveries from the data from the 100,000 Genomes Project. The aims of the partnerships are: 1. To optimise: • clinical data and sample collection • clinical reporting • data validation and interpretation. 2. To improve understanding of the implications of genomic findings and improve the accuracy and reliability of information fed back to patients. To add to knowledge of the genetic basis of disease. 3. To provide a sustainable thriving training environment. The initial wave of GeCIP domains was announced in June 2015 following a first round of applications in January 2015. On the 18th June 2015 we invited the inaugurated GeCIP domains to develop more detailed research plans working closely with Genomics England. These will be used to ensure that the plans are complimentary and add real value across the GeCIP portfolio and address the aims and objectives of the 100,000 Genomes Project. They will be shared with the MRC, Wellcome Trust, NIHR and Cancer Research UK as existing members of the GeCIP Board to give advance warning and manage funding requests to maximise the funds available to each domain. However, formal applications will then be required to be submitted to individual funders. They will allow Genomics England to plan shared core analyses and the required research and computing infrastructure to support the proposed research. They will also form the basis of assessment by the Project’s Access Review Committee, to permit access to data. -
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. -
The Rewards of Platform Unity: Moving to One Repository at Universidad De La Salle Delivers Benefits
Case Study The rewards of platform unity: moving to one repository at Universidad de La Salle delivers benefits To better support the mission that drives Colombia’s Universidad de La Salle — to generate knowledge that will transform Colombian society by contributing to equity, the defense of life and human development — the university recognized the need to combine three separate digital platforms into a single unifying online presence while simultaneously addressing a long list of technical challenges. After considering several options, it identified Digital Commons as the perfect fit for its needs. This case study charts the university’s decision-making process, the rewards it has subsequently reaped and eight tips for other institutions embarking on a digital repository journey. Introduction Founded in 1964, Universidad de La Salle1 is a private Catholic the other its digital educative resources. So, a cross-department institution with around 14,000 students and 700 postgraduates task force set out to find a single solution that would provide enrolled in a wide array of courses and degree programs. It them with key items on their wish list: is rated a “High Quality University” by Colombia’s National Accreditation Council2 (CNA). Back in 2018, the institution’s five • One entry point to the university’s intellectual output journals were stored on Public Knowledge Project’s Open Journal • Support for the full journal-publishing cycle Systems (OJS) platform. Initially, OJS ticked many boxes for the (including peer review) journals team, as Editorial Head Alfredo Morales recalls: “We • Robust customer support were able to consolidate all our titles, standardize publishing criteria and increase visibility inside and outside the university.” • Effective SEO and indexing of journal articles in Google Scholar • Standardization of metadata But the team also encountered issues that impacted their productivity and content discoverability. -
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. -
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