Biological Information, Molecular Structure, and the Origins Debate Jonathan K
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Glossary - Cellbiology
1 Glossary - Cellbiology Blotting: (Blot Analysis) Widely used biochemical technique for detecting the presence of specific macromolecules (proteins, mRNAs, or DNA sequences) in a mixture. A sample first is separated on an agarose or polyacrylamide gel usually under denaturing conditions; the separated components are transferred (blotting) to a nitrocellulose sheet, which is exposed to a radiolabeled molecule that specifically binds to the macromolecule of interest, and then subjected to autoradiography. Northern B.: mRNAs are detected with a complementary DNA; Southern B.: DNA restriction fragments are detected with complementary nucleotide sequences; Western B.: Proteins are detected by specific antibodies. Cell: The fundamental unit of living organisms. Cells are bounded by a lipid-containing plasma membrane, containing the central nucleus, and the cytoplasm. Cells are generally capable of independent reproduction. More complex cells like Eukaryotes have various compartments (organelles) where special tasks essential for the survival of the cell take place. Cytoplasm: Viscous contents of a cell that are contained within the plasma membrane but, in eukaryotic cells, outside the nucleus. The part of the cytoplasm not contained in any organelle is called the Cytosol. Cytoskeleton: (Gk. ) Three dimensional network of fibrous elements, allowing precisely regulated movements of cell parts, transport organelles, and help to maintain a cell’s shape. • Actin filament: (Microfilaments) Ubiquitous eukaryotic cytoskeletal proteins (one end is attached to the cell-cortex) of two “twisted“ actin monomers; are important in the structural support and movement of cells. Each actin filament (F-actin) consists of two strands of globular subunits (G-Actin) wrapped around each other to form a polarized unit (high ionic cytoplasm lead to the formation of AF, whereas low ion-concentration disassembles AF). -
Bioinformatics 1
Bioinformatics 1 Bioinformatics School School of Science, Engineering and Technology (http://www.stmarytx.edu/set/) School Dean Ian P. Martines, Ph.D. ([email protected]) Department Biological Science (https://www.stmarytx.edu/academics/set/undergraduate/biological-sciences/) Bioinformatics is an interdisciplinary and growing field in science for solving biological, biomedical and biochemical problems with the help of computer science, mathematics and information technology. Bioinformaticians are in high demand not only in research, but also in academia because few people have the education and skills to fill available positions. The Bioinformatics program at St. Mary’s University prepares students for graduate school, medical school or entry into the field. Bioinformatics is highly applicable to all branches of life sciences and also to fields like personalized medicine and pharmacogenomics — the study of how genes affect a person’s response to drugs. The Bachelor of Science in Bioinformatics offers three tracks that students can choose. • Bachelor of Science in Bioinformatics with a minor in Biology: 120 credit hours • Bachelor of Science in Bioinformatics with a minor in Computer Science: 120 credit hours • Bachelor of Science in Bioinformatics with a minor in Applied Mathematics: 120 credit hours Students will take 23 credit hours of core Bioinformatics classes, which included three credit hours of internship or research and three credit hours of a Bioinformatics Capstone course. BS Bioinformatics Tracks • Bachelor of Science -
Pharmacology
Pharmacology New for 2020-2021 Competitor orientation deleted from ILC. Event Summary Pharmacology provides HOSA members with the opportunity to gain knowledge and skills regarding the area of healthcare concerned with uses, effects, and modes of actions of drugs. This competitive event consists of a written test with a tie-breaker essay question. This event aims to inspire members to learn about how drugs work in the body, proper administration, and adaptations for different patients and conditions. Dress Code Competitors must be in official HOSA uniform or proper business attire. Bonus points will be awarded for proper dress. General Rules 1. Competitors in this event must be active members of HOSA-Future Health Professionals, in good standing. 2. Secondary and Postsecondary/Collegiate divisions are eligible to compete in this event. 3. Competitors must be familiar with and adhere to the “General Rules and Regulations of the HOSA Competitive Events Program (GRR)." 4. All competitors shall report to the site of the event at the time designated for each round of competition. At ILC, competitor’s photo ID must be presented prior to ALL competition rounds. Official References • Fulcher, Soto and Fulcher. Pharmacology: Principles and Applications. Elsevier, Latest edition. • Ford, Susan and Sally Roach. Roach’s Introductory Clinical Pharmacology. Wolters Kluwer, Latest edition. Written Test 5. Test Instructions: The written test will consist of 100 multiple choice items in a maximum of 90 minutes. 6. Time Remaining Announcements: There will be a verbal announcement when there are 60 minutes, 30 minutes, 15 minutes, 5 minutes, and 1 minute remaining to complete the test. -
13 Genomics and Bioinformatics
Enderle / Introduction to Biomedical Engineering 2nd ed. Final Proof 5.2.2005 11:58am page 799 13 GENOMICS AND BIOINFORMATICS Spencer Muse, PhD Chapter Contents 13.1 Introduction 13.1.1 The Central Dogma: DNA to RNA to Protein 13.2 Core Laboratory Technologies 13.2.1 Gene Sequencing 13.2.2 Whole Genome Sequencing 13.2.3 Gene Expression 13.2.4 Polymorphisms 13.3 Core Bioinformatics Technologies 13.3.1 Genomics Databases 13.3.2 Sequence Alignment 13.3.3 Database Searching 13.3.4 Hidden Markov Models 13.3.5 Gene Prediction 13.3.6 Functional Annotation 13.3.7 Identifying Differentially Expressed Genes 13.3.8 Clustering Genes with Shared Expression Patterns 13.4 Conclusion Exercises Suggested Reading At the conclusion of this chapter, the reader will be able to: & Discuss the basic principles of molecular biology regarding genome science. & Describe the major types of data involved in genome projects, including technologies for collecting them. 799 Enderle / Introduction to Biomedical Engineering 2nd ed. Final Proof 5.2.2005 11:58am page 800 800 CHAPTER 13 GENOMICS AND BIOINFORMATICS & Describe practical applications and uses of genomic data. & Understand the major topics in the field of bioinformatics and DNA sequence analysis. & Use key bioinformatics databases and web resources. 13.1 INTRODUCTION In April 2003, sequencing of all three billion nucleotides in the human genome was declared complete. This landmark of modern science brought with it high hopes for the understanding and treatment of human genetic disorders. There is plenty of evidence to suggest that the hopes will become reality—1631 human genetic diseases are now associated with known DNA sequences, compared to the less than 100 that were known at the initiation of the Human Genome Project (HGP) in 1990. -
Ono Mato Pee 145
789493 148215 9 789493 148215 9 789493 148215 148215 9 789493 148215 789493 9 9 789493 148215 9 148215 789493 148215 789493 9 148215 9 789493 148215 9 789493 148215 148215 789493 9 789493 148215 9 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 9 789493 148215 99 789493789493 148215148215 9 789493 148215 99 789493789493 148215148215 9 789493 148215 9 789493 148215 9 789493 148215 145 PEE MATO ONO Graphic Design Systems, and the Systems of Graphic Design Francisco Laranjo Bibliography M.; Drenttel, W. & Heller, S. (2012) Within graphic design, the concept of systems is profoundly Escobar, A. (2018) Designs for Looking Closer 4: Critical Writings rooted in form. When a term such as system is invoked, it is the Pluriverse (New Ecologies for on Graphic Design. Allworth Press, normally related to macro and micro-typography, involving pp. 199–207. the Twenty-First Century). Duke book design and typesetting, but also addressing type design University Press. Manzini, E. (2015) Design, When or parametric typefaces. Branding and signage are two other Jenner, K. (2016) Chill Kendall Jenner Everybody Designs: An Introduction Didn’t Think People Would Care to Design for Social Innovation. domains which nearly claim exclusivity of the use of the That She Deleted Her Instagram. Massachusetts: MIT Press. word ‘systems’ in relation to graphic design. A key example of In: Vogue. Available at: https://www. Meadows, D. (2008) Thinking in this is the influential bookGrid Systems in Graphic Design vogue.com/article/kendall-jenner- Systems. -
Clinical Pharmacology 1: Phase 1 Studies and Early Drug Development
Clinical Pharmacology 1: Phase 1 Studies and Early Drug Development Gerlie Gieser, Ph.D. Office of Clinical Pharmacology, Div. IV Objectives • Outline the Phase 1 studies conducted to characterize the Clinical Pharmacology of a drug; describe important design elements of and the information gained from these studies. • List the Clinical Pharmacology characteristics of an Ideal Drug • Describe how the Clinical Pharmacology information from Phase 1 can help design Phase 2/3 trials • Discuss the timing of Clinical Pharmacology studies during drug development, and provide examples of how the information generated could impact the overall clinical development plan and product labeling. Phase 1 of Drug Development CLINICAL DEVELOPMENT RESEARCH PRE POST AND CLINICAL APPROVAL 1 DISCOVERY DEVELOPMENT 2 3 PHASE e e e s s s a a a h h h P P P Clinical Pharmacology Studies Initial IND (first in human) NDA/BLA SUBMISSION Phase 1 – studies designed mainly to investigate the safety/tolerability (if possible, identify MTD), pharmacokinetics and pharmacodynamics of an investigational drug in humans Clinical Pharmacology • Study of the Pharmacokinetics (PK) and Pharmacodynamics (PD) of the drug in humans – PK: what the body does to the drug (Absorption, Distribution, Metabolism, Excretion) – PD: what the drug does to the body • PK and PD profiles of the drug are influenced by physicochemical properties of the drug, product/formulation, administration route, patient’s intrinsic and extrinsic factors (e.g., organ dysfunction, diseases, concomitant medications, -
Unit 2 Cell Biology Page 1 Sub-Topics Include
Sub-Topics Include: 2.1 Cell structure 2.2 Transport across cell membranes 2.3 Producing new cells 2.4 DNA and the production of proteins 2.5 Proteins and enzymes 2.6 Genetic Engineering 2.7 Respiration 2.8 Photosynthesis Unit 2 Cell Biology Page 1 UNIT 2 TOPIC 1 1. Cell Structure 1. Types of organism Animals and plants are made up of many cells and so are described as multicellular organisms. Similar cells doing the same job are grouped together to form tissues. Animals and plants have systems made up of a number of organs, each doing a particular job. For example, the circulatory system is made up of the heart, blood and vessels such as arteries, veins and capillaries. Some fungi such as yeast are single celled while others such as mushrooms and moulds are larger. Cells of animals plants and fungi have contain a number of specialised structures inside their cells. These specialised structures are called organelles. Bacteria are unicellular (exist as single cells) and do not have organelles in the same way as other cells. 2. Looking at Organelles Some organelles can be observed by staining cells and viewing them using a light microscope. Other organelles are so small that they cannot be seen using a light microscope. Instead, they are viewed using an electron microscope, which provides a far higher magnification than a light microscope. Most organelles inside cells are surrounded by a membrane which is similar in composition (make-up) to the cell membrane. Unit 2 Cell Biology Page 2 3. A Typical Cell ribosome 4. -
I. Antihistamines Seunghoon Han* Department of Clinical Pharmacology and Therapeutics, Seoul St
2014;22(1):13-18 TCP Translational and Clinical Pharmacology http://dx.doi.org/10.12793/tcp.2014.22.1.13 Clinical Pharmacology Review for Primary Health Care Providers: I. Antihistamines Seunghoon Han* Department of Clinical Pharmacology and Therapeutics, Seoul St. Mary’s Hospital, The Catholic University of Korea, Seoul 137-701, Korea *Correspondence: S. Han; Tel: +82-2-2258-7326, Fax: +82-2-2258-7876, E-mail: [email protected] Received 31 May 2014 Primary health care providers play a critical role in maintaining public health, and the appropri- Accepted 31 May 2014 ate use of pharmaceutical products is one of the major parts of their practice. This series of articles, pISSN: 2289-0882 entitled ‘Clinical Pharmacology Review for Primary Health Care Providers,’ is intended to help pri- mary health care providers select more appropriate prescriptions for frequently used drugs based on up-to-date information. We expect that this effort will contribute to improvements in public health and diminish unnecessary drug use. Introduction tion on the H1 receptor.[8] THERAPEU Antihistamines include some of the most frequently prescribed drugs in the primary health care environment for the symp- Generations and Classes tomatic relief of allergic diseases, the common cold, urticaria, Many primary health care providers are well-informed about T and insomnia.[1-5] The importance of antihistamines has been the different ‘generations’ of antihistamines but not about the ICS TU emphasized as the prevalence of target diseases increases.[6,7] different ‘classes’ characterized according to chemical structure. However, the appropriate use, clinical effectiveness, and target [1] This discrepancy seems reasonable because ‘inter-generation’ T populations for prescription of antihistamines are still a matter differences are more prominent than ‘inter-class’ differences. -
Use of Bioinformatics Resources and Tools by Users of Bioinformatics Centers in India Meera Yadav University of Delhi, [email protected]
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln 2015 Use of Bioinformatics Resources and Tools by Users of Bioinformatics Centers in India meera yadav University of Delhi, [email protected] Manlunching Tawmbing Saha Institute of Nuclear Physisc, [email protected] Follow this and additional works at: http://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons yadav, meera and Tawmbing, Manlunching, "Use of Bioinformatics Resources and Tools by Users of Bioinformatics Centers in India" (2015). Library Philosophy and Practice (e-journal). 1254. http://digitalcommons.unl.edu/libphilprac/1254 Use of Bioinformatics Resources and Tools by Users of Bioinformatics Centers in India Dr Meera, Manlunching Department of Library and Information Science, University of Delhi, India [email protected], [email protected] Abstract Information plays a vital role in Bioinformatics to achieve the existing Bioinformatics information technologies. Librarians have to identify the information needs, uses and problems faced to meet the needs and requirements of the Bioinformatics users. The paper analyses the response of 315 Bioinformatics users of 15 Bioinformatics centers in India. The papers analyze the data with respect to use of different Bioinformatics databases and tools used by scholars and scientists, areas of major research in Bioinformatics, Major research project, thrust areas of research and use of different resources by the user. The study identifies the various Bioinformatics services and resources used by the Bioinformatics researchers. Keywords: Informaion services, Users, Inforamtion needs, Bioinformatics resources 1. Introduction ‘Needs’ refer to lack of self-sufficiency and also represent gaps in the present knowledge of the users. -
The Architecture of the Protein Domain Universe
The architecture of the protein domain universe Nikolay V. Dokholyan Department of Biochemistry and Biophysics, The University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC 27599 ABSTRACT Understanding the design of the universe of protein structures may provide insights into protein evolution. We study the architecture of the protein domain universe, which has been found to poses peculiar scale-free properties (Dokholyan et al., Proc. Natl. Acad. Sci. USA 99: 14132-14136 (2002)). We examine the origin of these scale-free properties of the graph of protein domain structures (PDUG) and determine that that the PDUG is not modular, i.e. it does not consist of modules with uniform properties. Instead, we find the PDUG to be self-similar at all scales. We further characterize the PDUG architecture by studying the properties of the hub nodes that are responsible for the scale-free connectivity of the PDUG. We introduce a measure of the betweenness centrality of protein domains in the PDUG and find a power-law distribution of the betweenness centrality values. The scale-free distribution of hubs in the protein universe suggests that a set of specific statistical mechanics models, such as the self-organized criticality model, can potentially identify the principal driving forces of molecular evolution. We also find a gatekeeper protein domain, removal of which partitions the largest cluster into two large sub- clusters. We suggest that the loss of such gatekeeper protein domains in the course of evolution is responsible for the creation of new fold families. INTRODUCTION The principles of molecular evolution remain elusive despite fundamental breakthroughs on the theoretical front 1-5 and a growing amount of genomic and proteomic data, over 23,000 solved protein structures 6 and protein functional annotations 7-9. -
Challenges in Bioinformatics
Yuri Quintana, PhD, delivered a webinar in AllerGen’s Webinars for Research Success series on February 27, 2018, discussing different approaches to biomedical informatics and innovations in big-data platforms for biomedical research. His main messages and a hyperlinked index to his presentation follow. WHAT IS BIOINFORMATICS? Bioinformatics is an interdisciplinary field that develops analytical methods and software tools for understanding clinical and biological data. It combines elements from many fields, including basic sciences, biology, computer science, mathematics and engineering, among others. WHY DO WE NEED BIOINFORMATICS? Chronic diseases are rapidly expanding all over the world, and associated healthcare costs are increasing at an astronomical rate. We need to develop personalized treatments tailored to the genetics of increasingly diverse patient populations, to clinical and family histories, and to environmental factors. This requires collecting vast amounts of data, integrating it, and making it accessible and usable. CHALLENGES IN BIOINFORMATICS Data collection, coordination and archiving: These technologies have evolved to the point Many sources of biomedical data—hospitals, that we can now analyze not only at the DNA research centres and universities—do not have level, but down to the level of proteins. DNA complete data for any particular disease, due in sequencers, DNA microarrays, and mass part to patient numbers, but also to the difficulties spectrometers are generating tremendous of data collection, inter-operability -
Chapter 13 Protein Structure Learning Objectives
Chapter 13 Protein structure Learning objectives Upon completing this material you should be able to: ■ understand the principles of protein primary, secondary, tertiary, and quaternary structure; ■use the NCBI tool CN3D to view a protein structure; ■use the NCBI tool VAST to align two structures; ■explain the role of PDB including its purpose, contents, and tools; ■explain the role of structure annotation databases such as SCOP and CATH; and ■describe approaches to modeling the three-dimensional structure of proteins. Outline Overview of protein structure Principles of protein structure Protein Data Bank Protein structure prediction Intrinsically disordered proteins Protein structure and disease Overview: protein structure The three-dimensional structure of a protein determines its capacity to function. Christian Anfinsen and others denatured ribonuclease, observed rapid refolding, and demonstrated that the primary amino acid sequence determines its three-dimensional structure. We can study protein structure to understand problems such as the consequence of disease-causing mutations; the properties of ligand-binding sites; and the functions of homologs. Outline Overview of protein structure Principles of protein structure Protein Data Bank Protein structure prediction Intrinsically disordered proteins Protein structure and disease Protein primary and secondary structure Results from three secondary structure programs are shown, with their consensus. h: alpha helix; c: random coil; e: extended strand Protein tertiary and quaternary structure Quarternary structure: the four subunits of hemoglobin are shown (with an α 2β2 composition and one beta globin chain high- lighted) as well as four noncovalently attached heme groups. The peptide bond; phi and psi angles The peptide bond; phi and psi angles in DeepView Protein secondary structure Protein secondary structure is determined by the amino acid side chains.