This detailed volume explores the continuing techniques of studying RNA-protein complexes and interactions as research in these areas expand. After an introductory chapter, the book continues with ways to purify RNA-protein complexes assembled in cells or in isolated cellular extracts, methods for measuring various biochemical activities of RNA-interacting proteins or ribonucleoproteins, biochemical methods for measuring direct RNA-protein contact, as well as various new or innovative methods pertinent to the subject. Written for the highly successful Methods in Molecular Biology series, chapters contain brief 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 up-to-date, RNA-Protein Complexes and Interactions: Methods and Protocols provides a set of useful protocols, both basic and advanced, designed to inspire researchers working with RNA and RNA-interacting proteins.

In this work we plan to revise the main techniques for enumeration algorithms and to show four examples of enumeration algorithms that can be applied to efficiently deal with some biological problems modelled by using biological networks: enumerating central and peripheral nodes of a network, enumerating stories, enumerating paths or cycles, and enumerating bubbles. Notice that the corresponding computational problems we define are of more general interest and our results hold in the case of arbitrary graphs. Enumerating all the most and less central vertices in a network according to their eccentricity is an example of an enumeration problem whose solutions are polynomial and can be listed in polynomial time, very often in linear or almost linear time in practice. Enumerating stories, i.e. all maximal directed acyclic subgraphs of a graph G whose sources and targets belong to a predefined subset of the vertices, is on the other hand an example of an enumeration problem with an exponential number of solutions, that can be solved by using a non trivial brute-force approach. Given a metabolic network, each individual story should explain how some interesting metabolites are derived from some others through a chain of reactions, by keeping all alternative pathways between sources and targets. Enumerating cycles or paths in an undirected graph, such as a protein-protein interaction undirected network, is an example of an enumeration problem in which all the solutions can be listed through an optimal algorithm, i.e. the time required to list all the solutions is dominated by the time to read the graph plus the time required to print all of them. By extending this result to directed graphs, it would be possible to deal more efficiently with feedback loops and signed paths analysis in signed or interaction directed graphs, such as gene regulatory networks. Finally, enumerating mouths or bubbles with a source s in a directed graph, that is enumerating all the two vertex-disjoint directed paths between the source s and all the possible targets, is an example of an enumeration problem in which all the solutions can be listed through a linear delay algorithm, meaning that the delay between any two consecutive solutions is linear, by turning the problem into a constrained cycle enumeration problem. Such patterns, in a de Bruijn graph representation of the reads obtained by sequencing, are related to polymorphisms in DNA- or RNA-seq data.

This book is the first to summarize the progress of research on neural functions of the the delta opioid receptor (DOR) to date. This receptor, a member of the opioid receptor family, was traditionally thought to be primarily involved in pain modulation. Recent new findings have shown its unique role in neuroprotection and many other functions. Many scientists from a number of independent laboratories have now confirmed that DOR can provide neuroprotection against hypoxic/ischemic injuries. They have also found that it plays a role in a variety of physiological and pathophysiological events such as hypoxic encephalopathy, epilepsy, acupuncture, Parkinson's disease, etc. by regulating ionic homeostasis, glutamate transportation and signaling, and balancing intracellular survival/death signals. The book will provide a comprehensive overview of the current state of DOR research and provide a blueprint for future directions.

DNA Methylation and Complex Human Disease reviews the possibilities of methyl-group-based epigenetic biomarkers of major diseases, tailored epigenetic therapies, and the future uses of high-throughput methylome technologies. This volume includes many pertinent advances in disease-bearing research, including obesity, type II diabetes, schizophrenia, and autoimmunity. DNA methylation is also discussed as a plasma and serum test for non-invasive screening, diagnostic and prognostic tests, as compared to biopsy-driven gene expression analysis, factors which have led to the use of DNA methylation as a potential tool for determining cancer risk, and diagnosis between benign and malignant disease. Therapies are at the heart of this volume and the possibilities of DNA demethylation. In cancer, unlike genetic mutations, DNA methylation and histone modifications are reversible and thus have shown great potential in the race for effective treatments. In addition, the authors present the importance of high-throughput methylome analysis, not only in cancer, but also in non-neoplastic diseases such as rheumatoid arthritis.

Focusing on two central themes--the psychobiological evolution from youth to adult and the effects of drugs on the developing central nervous system--this important reference elucidates the mechanisms of chemical dependency in adolescents. Its multidisciplinary coverage analyzes addiction across major domains of human functioning against the backdrop of hormonal, cognitive, and other changes that accompany the transition to adulthood. Chapters discuss legal as well as illicit drugs, examine age-related social contexts, and present the latest findings on links between drug use and mental disorders. Throughout, the contributors make clear that education is more valuable to understanding--and preventing--substance abuse than are prohibition and zero-tolerance thinking. Included among the topics: Cognitive development, learning, and drug use. Neurobiology of the action of drugs of abuse. Findings in adolescents with substance dependence based on neuroimaging tests. Alcohol abuse in adolescents: relevance of animal models. Effects of chronic drug abuse on the chronobiology of sleep in adolescents. Neurological and cognitive disorders arising from the chronic use of drugs of abuse. The multiple lenses for understanding its subject and the sensitivity with which causal nuances are treated make Neuroscience of Drug Abuse in Adolescence an invaluable resource for clinical and child psychologists, psychiatrists, social workers, and addiction counselors.

This volume opens by covering two main types of approaches widely used to determine essential genes: single-gene knockouts and transposon mutagenesis, in both prokaryotes and Candida albicans. Given the significant advancement in the computational predictions of microbial essential genes, the second half of the book examines four main types of approaches: comparative genomics, supervised machine learning, constraint-based methods, and corrections of transposon mutagenesis data, as well as databases and servers that are often used in studying gene essentiality. Written in the highly successful Methods in Molecular Biology series format, chapters include an introduction 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 up-to-date, Gene Essentiality: Methods and Protocols will aid researchers who wish to further our knowledge in this vital field of study.

Ions, their transport across membranes, and their flow through specialized ion channels are central to the understanding of brain function, normal and pathological. The first part of this book deals with the regulation of ions in brain extra- and intracellular fluids. Regulation is effected by the blood-brain barrier, and by membrane ion pumps and other transport mechanisms of neurons and glial cells. Normally adjusted for optimal neural function, ion levels can change and alter the excitability of neurons and influence synaptic transmission in healthy and diseased brains. After an introduction to the electrophysiology of epilepsy, and a description of experimental seizure "models," the second part discusses the roles of the faulty regulation of ions and of the diseases of ion channels in generating epileptic seizures. The mechanisms of action of various anticonvulsant drugs are also considered. The third part is devoted to the phenomenon of spreading depression and its likely role in human diseases. The final chapters of the book deal with the role of ions in the devastation caused by lack of oxygen and by insufficient blood flow to brain tissue, and the reasons for the exceptional vulnerability of certain classes of central neurons in hypoxia and stroke. The book will be of interest to neuroscientists, neurobiologists, neurophysiologists, neurologists, neurosurgeons, and to their students and trainees.

Microbial population genetics is a rapidly advancing field of investigation with relevance to many areas of science. The subject encompasses theoretical issues, such as the origins and evolution of species, sex, and recombination. Population genetics lays the foundations for tracking the origin and evolution of antibiotic resistance and deadly infectious pathogens and is also an essential tool in the utilization of beneficial microbes. This invaluable book, written by leading researchers in the field, details the current major advances in microbial population genetics and genomics. Distinguished international scientists introduce fundamental concepts, describe genetic tools, and comprehensively review recent data from SNP surveys, whole-genome DNA sequences, and microarray hybridizations. The chapters cover broad groups of microorganisms including viruses, bacteria, archaea, fungi, protozoa, and algae. A major focus is the application of molecular tools in the study of genetic variation. Topics covered include microbial systematics, comparative microbial genomics, horizontal gene transfer, pathogenic bacteria, nitrogen-fixing bacteria, cyanobacteria, microalgae, fungi, malaria parasites, viral pathogens, and metagenomics. Microbial Population Genetics is an essential volume for everyone interested in population genetics, and it is highly recommended reading for all microbiologists.

SHORTLISTED FOR THE PHYSICS WORLD BOOK OF THE YEAR 2019 'One of the deepest and most original thinkers of his generation of cognitive scientists. His startling argument has implications for philosophy, science, and how we understand the world around us' Steven Pinker 'Is reality virtual? It's a question made even more interesting by this book' Barbara Kiser, Nature Do we see the world as it truly is? In The Case Against Reality, pioneering cognitive scientist Donald Hoffman says no? we see what we need in order to survive. Our visual perceptions are not a window onto reality, Hoffman shows us, but instead are interfaces constructed by natural selection. The objects we see around us are not unlike the file icons on our computer desktops: while shaped like a small folder on our screens, the files themselves are made of a series of ones and zeros - too complex for most of us to understand. In a similar way, Hoffman argues, evolution has shaped our perceptions into simplistic illusions to help us navigate the world around us. Yet now these illusions can be manipulated by advertising and design. Drawing on thirty years of Hoffman's own influential research, as well as evolutionary biology, game theory, neuroscience, and philosophy, The Case Against Reality makes the mind-bending yet utterly convincing case that the world is nothing like what we see through our eyes.

Sex Differences in the Central Nervous System offers a comprehensive examination of the current state of sex differences research, from both the basic science and clinical research perspectives. Given the current NIH directive that funded preclinical research must consider both females and males, this topic is of interest to an increasing percentage of the neuroscience research population. The volume serves as an invaluable resource, offering coverage of a wide range of topics: sex differences in cognition, learning, and memory, sex hormone signaling mechanisms, neuroimmune interactions, epigenetics, social behavior, neurologic disease, psychological disorders, and stress. Discussions of research in both animal models and human patient populations are included.

This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification, to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering. Its focus, however, is linear and nonlinear time series analysis from a dynamical systems perspective, based on which it aims to convey an understanding also of the dynamical mechanisms that could have generated observed time series. Further, it integrates computational modeling of behavioral and neural dynamics with statistical estimation and hypothesis testing. This way computational models in neuroscience are not only explanatory frameworks, but become powerful, quantitative data-analytical tools in themselves that enable researchers to look beyond the data surface and unravel underlying mechanisms. Interactive examples of most methods are provided through a package of MatLab routines, encouraging a playful approach to the subject, and providing readers with a better feel for the practical aspects of the methods covered. "Computational neuroscience is essential for integrating and providing a basis for understanding the myriads of remarkable laboratory data on nervous system functions. Daniel Durstewitz has excellently covered the breadth of computational neuroscience from statistical interpretations of data to biophysically based modeling of the neurobiological sources of those data. His presentation is clear, pedagogically sound, and readily useable by experts and beginners alike. It is a pleasure to recommend this very well crafted discussion to experimental neuroscientists as well as mathematically well versed Physicists. The book acts as a window to the issues, to the questions, and to the tools for finding the answers to interesting inquiries about brains and how they function." Henry D. I. Abarbanel Physics and Scripps Institution of Oceanography, University of California, San Diego "This book delivers a clear and thorough introduction to sophisticated analysis approaches useful in computational neuroscience. The models described and the examples provided will help readers develop critical intuitions into what the methods reveal about data. The overall approach of the book reflects the extensive experience Prof. Durstewitz has developed as a leading practitioner of computational neuroscience. " Bruno B. Averbeck

Sarah Conly argues that we do not have the right to have more than one child. If recent increases in global population continue, we will reduce the welfare of future generations to unacceptable levels. We do not have a right to impose on others in this way. While voluntary efforts to restrain population growth are preferable and may be enough, government regulations against having more than one child can be justified if they are necessary. Of course, government regulations have to be consistent with rights that we do hold, but Conly argues that since we do not have a right to have more than one child, government regulations are one of the methods we might use to reduce the fertility rate until we reach a sustainable population.

""What about the twenty-first century? Will we finally accept our responsibilities as guardians of planet Earth, the biological living trust, for the beneficiaries, the children of today, tomorrow, and beyond? Or, will it too be a century of lethal, economic struggle among the polarized positions of the supremely dysfunctional among us? Are they--once again--to be allowed to determine the legacy we, as a society, as a nation, bequeath those who follow us? The choice is ours, the adults of the world. How shall we choose?""

So writes Chris Maser in this compelling study of three interactive spheres of the ecosystem: atmosphere (air), litho-hydrosphere (rock that comprises the restless continents and the water that surrounds them), and biosphere (all life sandwiched in between).

Rich in detail and insightful analogies, "Earth in Our Care" addresses key issues including land-use policies, ecological restoration, forest management, local living, and sustainability thinking. Exploring our interconnectedness with the Earth, Maser examines today's problems and, more importantly, provides solutions for the future.

This book provides an overview of the latest advancements in the field of alien introgression in wheat. The discovery and wide application of molecular genetic techniques including molecular markers, in situ hybridization, and genomics has led to a surge in interspecific and intergeneric hybridization in recent decades. The work begins with the taxonomy of cereals, especially of those species which are potential gene sources for wheat improvement. The text then goes on to cover the origin of wheat, breeding in connection with alien introgressions, and the problems of producing intergeneric hybrids and backcross derivatives. These problems can include crossability, sterility, and unequal chromosome transmission. The work then covers alien introgressions according to the related species used, as well as new results in the field of genomics of wild wheat relatives and introgressions.

While much has been written about the impact of Darwin's theories on U.S. culture, and countless scholarly collections have been devoted to the science of evolution, few have addressed the specific details of Darwin's theories as a cultural force affecting U.S. writers. "America's Darwin" fills this gap and features a range of critical approaches that examine U.S. textual responses to Darwin's works.

The scholars in this collection represent a range of disciplines--literature, history of science, women's studies, geology, biology, entomology, and anthropology. All pay close attention to the specific forms that Darwinian evolution took in the United States, engaging not only with Darwin's most famous works, such as "On the Origin of Species," but also with less familiar works, such as "The Expression of the Emotions in Man and Animals."

Each contributor considers distinctive social, cultural, and intellectual conditions that affected the reception and dissemination of evolutionary thought, from before the publication of "On the Origin of Species" to the early years of the twenty-first century. These essays engage with the specific details and language of a wide selection of Darwin's texts, treating his writings as primary sources essential to comprehending the impact of Darwinian language on American writers and thinkers. This careful engagement with the texts of evolution enables us to see the broad points of its acceptance and adoption in the American scene; this approach also highlights the ways in which writers, reformers, and others reconfigured Darwinian language to suit their individual purposes.

"America's Darwin" demonstrates the many ways in which writers and others fit themselves to a narrative of evolution whose dominant motifs are contingency and uncertainty. Collectively, the authors make the compelling case that the interpretation of evolutionary theory in the U.S. has always shifted in relation to prevailing cultural anxieties.

This book integrates the different prospective, scientific and practical experience of researchers as well as beneficiaries and stakeholders in the field of forest conservation in Southeast Europe. The book stresses the importance of improving the adaptability of these ecosystems to the impacts of climate change. Gathered around a common idea, the book presents the latest results in forest genetic resources conservation at national and regional level. The chapters are written by experts from: Bosnia and Herzegovina, Bulgaria, Croatia, FYR Macedonia, Greece, Montenegro, Romania, Serbia and Slovenia. The book presents the current state, legal and institutional framework for conservation and management of forest genetic resources, case studies and best practices in the application of different conservation methods and techniques (in situ and ex situ) as well as climate change aspects in this area. This book will be of particular interest to scientists and experts in the field of forestry, environmental protection and rural development, bachelor, master and doctoral students, as well as for anyone interested in the conservation issues fuelled by ethical and economic motives.

With one volume each year, this series keeps scientists and advanced students informed of the latest developments and results in all areas of the plant sciences. This latest volume includes reviews on plant physiology, biochemistry, genetics and genomics, forests, and ecosystems.

This comprehensive reference delivers key information on all aspects of sunflower. With over 20 chapters, this book provides an extensive review of the latest developments in sunflower genetics, breeding, processing, quality, and utilization; including food, energy and industrial bioproduct applications. World-renowned experts in this field review U.S. and international practices, production, and processing aspects of sunflower.

This volume presents protocols for Brachypodium genomics in numerous areas ranging from marker development, trait evolution, functional genomics, metabolomics, transcriptomics, genomics, and tilling. This book also explores techniques to study the widening genetic base of Brachypodium that will help researchers better understand the model plant using NGS technologies. 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. Cutting-edge and comprehensive, Brachypodium Genomics: Methods and Protocols is a valuable resource for bench-oriented molecular biologists and computational biologists working towards further evolving this field.

Essential Clinically Applied Anatomy of the Peripheral Nervous System in the Limbs is designed to combine the salient points of the anatomy of the PNS with typical pathologies affecting the nerves of the upper and lower limbs. The book is a quick reference guide for those studying and treating neuromuscular disease such as neurologists, neurosurgeons, neuroradiologists, and clinical neurophysiologists. Readers will find easy-to-access facts about the anatomy of the nerves in the limbs, coupled with clinically applied scenarios relevant to that area being discussed, as well as clinical findings on examination. The book's purpose is to provide the reader with a succinct presentation of the relevant anatomy of the PNS in the limbs and how it is directly applicable to day-to-day clinical scenarios. It presents the reader with an easily accessible format to clinically applied PNS anatomy that is perfect for quick reference. Chapters review the nerves of the upper and lower limbs, and the origins, course, distribution and relevant pathologies affecting each. These pathologies present typical injuries to the nerves of the PNS, as well as clinical findings on examination and treatments.

This book deals with a rapidly growing field aiming at producing food and energy in a sustainable way for humans and their children. It is a discipline that addresses current issues: climate change, increasing food and fuel prices, poor-nation starvation, rich-nation obesity, water pollution, soil erosion, fertility loss, pest control and biodiversity depletion. This series gathers review articles that analyze current agricultural issues and knowledge, then proposes alternative solutions.

Experiencing Climate Change in Bangladesh: Vulnerability and Adaptation in Coastal Regions provides a conceptual and empirical framework for understanding the vulnerability of coastal communities in Bangladesh to multiple stressors and presents the process by which rural households adapt their livelihoods. The livelihoods of the poor people in many developing countries are disproportionately vulnerable to multiple shocks and stresses. The effects of climate change interacting with these livelihood disturbances further amplify human vulnerability. Future climate change is likely to aggravate this precarious situation. This book offers a solid framework for analyzing the process and components of adaptation of rural livelihoods to a changing hydro-climatic environment and presents empirical evidence of livelihood adaptation at the local level. The book creates a knowledge-base for the small island developing states (SIDS) experiencing similar socio-economic and climatic conditions. Also fills a market need by providing a conceptual framework, case studies, and reflections on lessons learned from policy responses for vulnerability reduction and adaptation to climate variability, extremes, and change.

This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.