Download or read book Receptor Data for Biological Experiments written by Henri N. Doods and published by Taylor & Francis Group. This book was released on 1991 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides comprehensive coverage of the most relevant knowledge on classification, localization and biological effects of receptor systems and/or enzymes.
Download or read book Receptor Data for Biological Experiments written by Van Meels Doods and published by . This book was released on 1999-12-31 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Receptors written by Douglas A. Lauffenburger and published by Oxford University Press. This book was released on 1996-01-11 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Receptors: Models for Binding, Trafficking, and Signaling bridges the gap between chemical engineering and cell biology by lucidly and practically demonstrating how a mathematical modeling approach combined with quantitative experiments can provide enhanced understanding of cell phenomena involving receptor/ligand interactions. In stressing the need for a quantitative understanding of how receptor-mediated cell functions depend on receptor and ligand properties, the book offers comprehensive treatments of both basic and state-of-the-art model frameworks that span the entire spectrum of receptor processes--from fundamental cell surface binding, intracellular trafficking, and signal transduction events to the cell behavioral functions they govern, including proliferation, adhesion, and migration. The book emphasizes mechanistic models that are accessible to experimental testing and includes detailed examples of important contemporary issues. This much-needed book introduces chemical engineers and bioengineers to important problems in receptor biology and familiarizes cell biologists with the insights that can be gained from engineering analysis and synthesis. As such, chemical engineers, researchers, and advanced students in the fields of biotechnology, biomedical sciences, bioengineering, and molecular cell biology will find this book to be conceptually rich, timely, and useful.
Download or read book Cell Surface Receptors written by Lee E. Limbird and published by Springer Science & Business Media. This book was released on 2006-06-02 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cell Surface Receptors: A Short Course on Theory and Methods, 3rd Edition, links theoretical insights into drug-receptor interactions described in mathematical models with the experimental strategies to characterize the biological receptor of interest. The study of receptors has changed considerably over the period of the publication of the three editions of this book. The cloning of several genomes makes it unlikely that preparations of receptors now or in the future will arise from their purification as trace proteins from native tissues, but rather from a myriad of molecular approaches. Nonetheless, understanding the molecular mechanisms and ultimately the in vivo biology of these receptors means that investigators will engage in molecular, cellular and ultimate in vivo strategies. It should be of value to investigators who want to identify, characterize and understand the biology of a receptor of interest.
Download or read book Cell Surface Receptors written by Lee E. Limbird and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to serve as a primer for the study of cell surface receptors. The simplified discussion of methods and their underlying prin ciples is intended to remove the usual intimidation caused by the specialized vocabulary or sophisticated mathematics that characterize many of the primary papers in this field. In this way, it is hoped that the basic concepts can be emphasized. This book is meant to be a starting point: a textbook as well as a manual to which the investigator can return for a refresher course, when needed. I feit compelled to write this book for several reasons. The primary philosophical reason was to provide, in one volume, an overall perspective on the study ofcell surface receptors that describes their characterization from pharmacological studies in a whole organ or tissue bath (chapter 2) to studies of radioligand binding in isolated membrane and detergent-solubilized pre parations (chapters 3-5) and, back again, to studies in intact cells or tissues using morphological and biochemical techniques (chapter 6). It is my opinion that the ultimate understanding of the molecular basis for hormone or drug receptor interactions, and the physiological consequences of these inter actions, will require an assessment of cell surface receptor function at all of these experimental levels. In many cases an investigator may not choose to of investigation considered here.
Download or read book Cellular Signal Transduction in Toxicology and Pharmacology written by Jonathan W. Boyd and published by John Wiley & Sons. This book was released on 2019-04-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering a key topic due to growing research into the role of signaling mechanisms in toxicology, this book focuses on practical approaches for informatics, big data, and complex data sets. Combines fundamentals / basics with experimental applications that can help those involved in preclinical drug studies and translational research Includes detailed presentations of study methodology and data collection, analysis, and interpretation Discusses tools like experimental design, sample handling, analytical measurement techniques
Download or read book Artificial Receptors for Chemical Sensors written by Vladimir M. Mirsky and published by John Wiley & Sons. This book was released on 2010-12-20 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first to provide systematically organized information on all three important aspects of artificial receptor design, this book brings together knowledge on an exceptionally hot and multidisciplinary field of research. Strong emphasis is placed on the methodology for discovering artificial receptors, with both definitions for chemosensitivity as well as experimental setups supplied. There follows coverage of numerous classes of artificial receptors, including synthesis, immobilization on surfaces, and quantitative data on properties. The third part of the book focuses on receptor arrays for artificial nose and tongue applications and the whole is rounded off with an outlook and an appendix with all relevant quantitative data on artificial receptors.
Download or read book Nuclear Receptors written by Mostafa Z. Badr and published by . This book was released on 2019 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents valuable techniques for studying the class of ligand-activated transcription factors known as nuclear receptors. After a brief overview of the history of the field, chapters cover methods to detect the receptors and their mRNAs in various tissues, protocols to characterize nuclear receptor modulators and activities, their signaling and roles in certain pathogenesis, molecular modeling of nuclear receptor-ligand interactions, as well as the utility of informatics in the field of nuclear receptors. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Nuclear Receptors: Methods and Experimental Protocols seeks to aid researchers working toward furthering our understanding of these vital receptors and their role in numerous pathological conditions.
Download or read book G Protein coupled Receptors written by Georges Vauquelin and published by John Wiley & Sons. This book was released on 2008-03-11 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: G protein-coupled receptors (GPCRs) are membrane proteins that transduce a vast array of extracellular signals into intracellular reactions ranging from cell-cell communication processes to physiological responses. They play an important role in a variety of diseases from cancer and diabetes, to neurodegenerative, inflammatory and respiratory disorders. GPCRs are therefore of utmost interest in drug development: over half of all prescription drugs currently on the market act by targeting these receptors directly or indirectly. G Protein-coupled Receptors: Molecular Pharmacology provides a clear summary of the current knowledge in this fast-evolving field. The book sets out with an introduction to signalling molecules and their receptors, and an overview of the technical approaches used to investigate these interactions. Structural, functional and especially pharmacological aspects of GPCRs are then discussed in more detail and much attention is devoted to the analysis and interpretation of experimental data. The now widespread use of recombinant cell lies, receptor mutants and related artifices in drug research is critically evaluated. Special attention is also devoted to topical but often poorly understood concepts, such as insurmountable antagonism, inverse agonism and allosteric interactions. By combining general information with the major state-of-the-art concepts in GPCR-research, this outstanding book equips the reader with the necessary background for understanding and critically evaluating the current literature. Written by two experts from academia and industry, G Protein-coupled Receptors: Molecular Pharmacology offers a unique view of academic and applied approaches aiming to reveal new ideas in pharmaceutical research. The book is of interest to anyone involved in drug development and preclinical research and those who need to function within multi-disciplinary teams in the pharmaceutical industry: from investigators to product managers or clinicians who seek to have a broad mechanistic understanding of drug-receptor interactions. It is also an invaluable resource for final year undergraduate and postgraduate students in pharmacology and cell and molecular biology.
Download or read book G Protein Coupled Receptors Modeling and Simulation written by Marta Filizola and published by Springer Science & Business Media. This book was released on 2013-10-25 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: G protein-coupled receptors (GPCRs) are heptahelical transmembrane receptors that convert extra-cellular stimuli into intra-cellular signaling, and ultimately into biological responses. Since GPCRs are natural targets for approximately 40% of all modern medicines, it is not surprising that they have been the subject of intense research. Notwithstanding the amount of data generated over the years, discovering ligands of these receptors with optimal therapeutic properties is not straightforward and has certainly been hampered for years by the lack of high-resolution structural information about these receptors. Luckily, there has been a steady increase of high-resolution crystal structures of these receptors since 2007, and this information, integrated with dynamic inferences from computational and experimental methods, holds great potential for the discovery of new, improved drugs. This book, which provides, for the first time, state-of-the-art views on modeling and simulation of GPCRs, is divided into 4 parts. In the first part, the impact of currently available GPCR crystal structures on structural modeling is discussed extensively as are critical insights from simulations in the second part of the book. The third part reports recent progress in rational ligand discovery and mathematical modeling, whereas the fourth part provides an overview of bioinformatics tools and resources that are available for GPCRs.
Download or read book Receptors written by P. Michael Conn and published by Academic Press. This book was released on 2013-10-22 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods in Neurosciences, Volume 11: Receptors: Model Systems and Specific Receptors is a compilation of papers that describes techniques and information that are important to the neurosciences. This volume discusses preferred receptor techniques, molecular techniques, and methods to determine receptor subclasses and localization in the ligand design. The first paper discusses the steroid receptor found in the central nervous system for steroid hormones that affects strongly the structure and function of both developed and immature nervous systems. Another paper describes how a glycoprotein of 79.5 kDa (transferrin) carries iron in the blood stream for delivery to different tissues, after the transferrin has bound with a specific receptor on the surface of the cell. This book also explains the binding sites of pituitary adenylate cyclase-activating polypeptide in the human brain, while one paper analyzes the neurotensin receptors during the primary culture of neurons. This volume then also analyzes the structure and function of the fast nerve growth factor receptor, particularly how a signal on the outside of a cell is transmitted to the cell's interior. This collection is helpful for microbiologists, cellular researchers, students, and professors in the discipline of neurosciences.
Download or read book Receptor Binding Techniques written by Anthony P. Davenport and published by Humana Press. This book was released on 2012-06-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A broad definition of a receptor is a specialized protein on or in a cell that recognizes and binds a specific ligand to undergo a conformational change, leading to a physiological response or change in cell function. A ligand can be an endogenous neurotransmitter, hormone, paracrine/autocrine factor, or a synthetic drug that may function as an agonist or antagonist. The third edition of Receptor Binding Techniques expands upon the methods and techniques used for studying receptors in silico, in vitro and in vivo. Comprehensive chapters describe how to use online resources for experimental research such as prediction of receptor-ligand interactions and mine the IUPHAR receptor database. Classical techniques of radioligand binding, quantitative autoradiography and their analyses are complemented by the use of immunocytochemistry for the cellular localization of receptor protein and hybridization to detect receptor mRNA. Protocols using fluorescent labeled ligands are described to visualise receptors in living cells, their interaction with beta-arrestin to measure ligand-induced internalisation and green fluorescent protein to study trafficking. Non-radioactive, chemiluminescent cAMP and arrestin assays facilitate the identification of novel ‘biased agonists’. Detailed methods are provided for in vivo imaging of receptors using positron emission tomography (PET). Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Receptor Binding Techniques, Third Edition, aids scientists in continuing to study receptor binding.
Download or read book Excitatory Amino Acid Receptors written by Povl Krogsgaard-Larsen and published by Taylor & Francis. This book was released on 1992 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to reflect the growing awareness of the chemical aspects of excitatory amino acids, this text uses computer-based methods and X-ray techniques to depict and analyze molecules and structure-activity relationships. The book incorporates stereochemical principles into all analyses.
Download or read book Model Based Hypothesis Testing in Biomedicine written by Rikard Johansson and published by Linköping University Electronic Press. This book was released on 2017-10-03 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: The utilization of mathematical tools within biology and medicine has traditionally been less widespread compared to other hard sciences, such as physics and chemistry. However, an increased need for tools such as data processing, bioinformatics, statistics, and mathematical modeling, have emerged due to advancements during the last decades. These advancements are partly due to the development of high-throughput experimental procedures and techniques, which produce ever increasing amounts of data. For all aspects of biology and medicine, these data reveal a high level of inter-connectivity between components, which operate on many levels of control, and with multiple feedbacks both between and within each level of control. However, the availability of these large-scale data is not synonymous to a detailed mechanistic understanding of the underlying system. Rather, a mechanistic understanding is gained first when we construct a hypothesis, and test its predictions experimentally. Identifying interesting predictions that are quantitative in nature, generally requires mathematical modeling. This, in turn, requires that the studied system can be formulated into a mathematical model, such as a series of ordinary differential equations, where different hypotheses can be expressed as precise mathematical expressions that influence the output of the model. Within specific sub-domains of biology, the utilization of mathematical models have had a long tradition, such as the modeling done on electrophysiology by Hodgkin and Huxley in the 1950s. However, it is only in recent years, with the arrival of the field known as systems biology that mathematical modeling has become more commonplace. The somewhat slow adaptation of mathematical modeling in biology is partly due to historical differences in training and terminology, as well as in a lack of awareness of showcases illustrating how modeling can make a difference, or even be required, for a correct analysis of the experimental data. In this work, I provide such showcases by demonstrating the universality and applicability of mathematical modeling and hypothesis testing in three disparate biological systems. In Paper II, we demonstrate how mathematical modeling is necessary for the correct interpretation and analysis of dominant negative inhibition data in insulin signaling in primary human adipocytes. In Paper III, we use modeling to determine transport rates across the nuclear membrane in yeast cells, and we show how this technique is superior to traditional curve-fitting methods. We also demonstrate the issue of population heterogeneity and the need to account for individual differences between cells and the population at large. In Paper IV, we use mathematical modeling to reject three hypotheses concerning the phenomenon of facilitation in pyramidal nerve cells in rats and mice. We also show how one surviving hypothesis can explain all data and adequately describe independent validation data. Finally, in Paper I, we develop a method for model selection and discrimination using parametric bootstrapping and the combination of several different empirical distributions of traditional statistical tests. We show how the empirical log-likelihood ratio test is the best combination of two tests and how this can be used, not only for model selection, but also for model discrimination. In conclusion, mathematical modeling is a valuable tool for analyzing data and testing biological hypotheses, regardless of the underlying biological system. Further development of modeling methods and applications are therefore important since these will in all likelihood play a crucial role in all future aspects of biology and medicine, especially in dealing with the burden of increasing amounts of data that is made available with new experimental techniques. Användandet av matematiska verktyg har inom biologi och medicin traditionellt sett varit mindre utbredd jämfört med andra ämnen inom naturvetenskapen, såsom fysik och kemi. Ett ökat behov av verktyg som databehandling, bioinformatik, statistik och matematisk modellering har trätt fram tack vare framsteg under de senaste decennierna. Dessa framsteg är delvis ett resultat av utvecklingen av storskaliga datainsamlingstekniker. Inom alla områden av biologi och medicin så har dessa data avslöjat en hög nivå av interkonnektivitet mellan komponenter, verksamma på många kontrollnivåer och med flera återkopplingar både mellan och inom varje nivå av kontroll. Tillgång till storskaliga data är emellertid inte synonymt med en detaljerad mekanistisk förståelse för det underliggande systemet. Snarare uppnås en mekanisk förståelse först när vi bygger en hypotes vars prediktioner vi kan testa experimentellt. Att identifiera intressanta prediktioner som är av kvantitativ natur, kräver generellt sett matematisk modellering. Detta kräver i sin tur att det studerade systemet kan formuleras till en matematisk modell, såsom en serie ordinära differentialekvationer, där olika hypoteser kan uttryckas som precisa matematiska uttryck som påverkar modellens output. Inom vissa delområden av biologin har utnyttjandet av matematiska modeller haft en lång tradition, såsom den modellering gjord inom elektrofysiologi av Hodgkin och Huxley på 1950?talet. Det är emellertid just på senare år, med ankomsten av fältet systembiologi, som matematisk modellering har blivit ett vanligt inslag. Den något långsamma adapteringen av matematisk modellering inom biologi är bl.a. grundad i historiska skillnader i träning och terminologi, samt brist på medvetenhet om exempel som illustrerar hur modellering kan göra skillnad och faktiskt ofta är ett krav för en korrekt analys av experimentella data. I detta arbete tillhandahåller jag sådana exempel och demonstrerar den matematiska modelleringens och hypotestestningens allmängiltighet och tillämpbarhet i tre olika biologiska system. I Arbete II visar vi hur matematisk modellering är nödvändig för en korrekt tolkning och analys av dominant-negativ-inhiberingsdata vid insulinsignalering i primära humana adipocyter. I Arbete III använder vi modellering för att bestämma transporthastigheter över cellkärnmembranet i jästceller, och vi visar hur denna teknik är överlägsen traditionella kurvpassningsmetoder. Vi demonstrerar också frågan om populationsheterogenitet och behovet av att ta hänsyn till individuella skillnader mellan celler och befolkningen som helhet. I Arbete IV använder vi matematisk modellering för att förkasta tre hypoteser om hur fenomenet facilitering uppstår i pyramidala nervceller hos råttor och möss. Vi visar också hur en överlevande hypotes kan beskriva all data, inklusive oberoende valideringsdata. Slutligen utvecklar vi i Arbete I en metod för modellselektion och modelldiskriminering med hjälp av parametrisk ”bootstrapping” samt kombinationen av olika empiriska fördelningar av traditionella statistiska tester. Vi visar hur det empiriska ”log-likelihood-ratio-testet” är den bästa kombinationen av två tester och hur testet är applicerbart, inte bara för modellselektion, utan också för modelldiskriminering. Sammanfattningsvis är matematisk modellering ett värdefullt verktyg för att analysera data och testa biologiska hypoteser, oavsett underliggande biologiskt system. Vidare utveckling av modelleringsmetoder och tillämpningar är därför viktigt eftersom dessa sannolikt kommer att spela en avgörande roll i framtiden för biologi och medicin, särskilt när det gäller att hantera belastningen från ökande datamängder som blir tillgänglig med nya experimentella tekniker.
Download or read book Receptor Molecular Biology written by and published by Elsevier. This book was released on 1995-03-22 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volumes in this series include contemporary techniques significant to a particular branch of neuroscience. They are an invaluable aid to the student as well as the experienced researcher not only in developing protocols in neuroscience but in disciplines where research is becoming closely related to neuroscience. Each volume of Methods in Neurosciences contains an index, and each chapter includes references. Dr. Conn became Editor-in-Chief of the series beginning with Volume 15, so each subsequent volume could be guest-edited by an expert in that specific field. This further strengthens the depth of coverage in Methods in Neurosciences for students and researchers alike. - Cloning - Expression systems - Signal transduction - Structure-function techniques - Antireceptor antibodies - Regulation - 3-D receptor modeling and computational probing
Download or read book Biological Receptor Mechanisms written by Society for Experimental Biology. Symposium and published by . This book was released on 1962 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Receptors and Channels written by Stephen J. Peroutka and published by CRC Press. This book was released on 1993-10-20 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cloning, sequencing, and expression of a variety of membrane receptors and channels indicate the existence of at least four "superfamilies" of molecular structures that mediate signal transduction. Presently, more than 400 receptors have been cloned and sequenced. The Handbook of Receptors and Channels is the first handbook series to present the enormous amount of new molecular biological receptor data in a practical and useful format. Each volume in this remarkable series will focus on a specific molecular superfamily of receptors. Complete amino acid sequence information on all cloned receptors, as well as relevant pharmacological information, will be included. Furthermore, the format for each of the volumes will be consistent to allow for easy comparisons of different molecular subtypes for a given transmitter. G Protein-Coupled Receptors is the first volume in this new handbook series. Topics covered in future volumes include:
