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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > DNA
An outstanding panel of hands-on experts and developers of CE equipment describe in step-by-step fashion their best cutting-edge methods for the detection and analysis of DNA mutations and modifications, ranging from precise DNA loci to entire genomes of organisms. This first volume of the set, Introduction to the Capillary Electrophoresis of Nucleic Acids, covers the practical and theoretical considerations behind the use of capillary electrophoresis for the analysis of small oligonucleotides and modified nucleotides. Along with detailed instructions ensuring ready reproducibility, these protocols offer time-tested advice on instrumentation, signal detection, the capillary environment, and the integration of mass spectrometry with CE. Several chapters are devoted to the analysis of small therapeutic oligonucleotides, nucleosides, and ribonucleotides by CE. The companion volume, Practical Applications of Capillary Electrophoresis, addresses techniques for high-throughput analysis of DNA fragments using SNP detection, mutation detection, DNA sequencing methods, and DNA-ligand interactions. Comprehensive and up-to-date, the paired volumes of Capillary Electrophoresis of Nucleic Acids offer an authoritative guide with easy access to fast, versatile, reliable, and powerful technologies for all those basic and clinical investigators analyzing DNA variation today.
With the detailed genomic information that is now becoming available, we have a plethora of data that allows researchers to address questions in a variety of areas. Genome-wide association studies (GWAS) have become a vital approach to identify candidate regions associated with complex diseases in human medicine, production traits in agriculture, and variation in wild populations. Genomic prediction goes a step further, attempting to predict phenotypic variation in these traits from genomic information. Genome-Wide Association Studies and Genomic Prediction pulls together expert contributions to address this important area of study. The volume begins with a section covering the phenotypes of interest as well as design issues for GWAS, then moves on to discuss efficient computational methods to store and handle large datasets, quality control measures, phasing, haplotype inference, and imputation. Later chapters deal with statistical approaches to data analysis where the experimental objective is either to confirm the biology by identifying genomic regions associated to a trait or to use the data to make genomic predictions about a future phenotypic outcome (e.g. predict onset of disease). As part of the Methods in Molecular Biology series, chapters provide helpful, real-world implementation advice.
The fungus fusarium is a major plant pathogen that causes disease in nearly every agriculturally important plant. In addition, some strains produce mycotoxins that can cause serious illness in humans and livestock. The enormous economic importance of and health hazards posed by fusarium have fuelled research into its biochemistry, genetics, genomics, proteomics and metabolomics by scientists worldwide. In this book, an international group of researchers critically review the most important research on the genomics and molecular and cellular biology of fusarium.
Recent work has revealed that stabilizing G-quadruplexes in telomeric DNA inhibits telomerase activity, providing impetus for the development of G-quartet-interacting drugs, while G-quartet-containing oligonucleotides have been recognized as a potent class of aptamers effective against STAT3 and other transcription factors implicated in oncogenesis, proving these guanine-quartets to be a vital and rich area for future study. In "G-Quadruplex DNA: Methods and Protocols", experts in the field present a collection of detailed techniques for studying G-quartet formation, dynamics, and molecular recognition. Written in the highly successful Methods in Molecular Biology (TM) series format, chapters include brief introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, "G-Quadruplex DNA: Methods and Protocols "promises to be a useful resource for those familiar with G-quartets as well as an easy entry point for those researchers from diverse fields who are just developing an interest in the exciting implications of G-quadruplex DNA.
The current explosive progress in molecular biological research can be definitively traced to the development of molecular cloning technology. The ability to insert specific gene sequences into cloning vectors and their subse quent expansion is the cornerstone of modem molecular biology. A direct practical outcome of molecular cloning technology is its application to ex press specific recombinant genes. Currently, recombinant gene products are used in a wide spectrum of applications, including gene therapy, production of bioactive pharmaceuticals, synthesis of novel biopolymers, in agriculture and animal husbandry, and so on. A fundamental requirement for successful recombinant gene expression is the design of the cloning vector and the choice of the host organism for expression. Recombinant Gene Expression Protocols grows out of the need for a laboratory manual that provides the reader the background and rationale, as well as the practical protocols for the preparation of "expression constructs" and their introduction into appropriate host cells and/or organisms. The chap ters in this book are grouped by their expression hosts, including E. coli, yeast, mammalian cells, nonmammalian eukaryotes such as plants, Xenopus, and insects, as well as in transgenic organisms. In-depth information is presented on the important characteristics of expression cloning vectors and the various methods for efficiently introducing expression constructs into target cells and/ or organisms. Throughout Recombinant Gene Expression Protocols, the authors have consistently striven for a balanced presentation of both background informa tion and actual laboratory details.
Transposable elements are short lengths of DNA with the capacity to move between different points within a genome. This process can affect the function of genes at or near the insertion site. The present book gives an overview of the impact of transposable elements on plant genomes and explains how to recognize and study transposable elements, e.g. by using state-of-the-art strategies like "new generation sequencing." Moreover, the impact of transposable elements on plant genome structure and function is reviewed in detail, and also illustrated in examples and case studies. The book is intended both for readers familiar with the field and for newcomers. With large-scale sequencing becoming increasingly available, more and more people will come across transposable element sequences in their data, and this volume will hopefully help to convince them that they are not just "junk DNA."
Since newly created beings are often perceived as either wholly good or bad, the genetic alteration of living cells impacts directly on a symbolic meaning deeply imbedded in every culture. During the earlier years of gene expression research, te- nological applications were confined mainly to academic and industrial laboratories, and were perceived as highly beneficial since molecules that were previously unable to be separated or synthesized became accessible as therapeutic agents. Such were the success stories of hormones, antibodies, and vaccines produced in the bacterium Escherichia coli. Originally this bacterium gained fame among humans for being an unwanted host in the intestine, or worse yet, for being occasionally dangerous and pathogenic. H- ever, it was easily identified in contaminated waters during the 19th century, thus becoming a clear indicator of water pollution by human feces. Tamed, cultivated, and easily maintained in laboratories, its fast growth rate and metabolic capacity to adjust to changing environments fascinated the minds of scientists who studied and modeled such complex phenomena as growth, evolution, genetic exchange, infection, survival, adaptation, and further on-gene expression. Although at the lower end of the complexity scale, this microbe became a very successful model system and a key player in the fantastic revolution kindled by the birth of recombinant DNA technology.
MicroRNA research and development is the billion-dollar baby and most lucrative option for drug discovery in gene therapy industries worldwide. Personalized microRNA treatments are in many cases the only remedy for viral diseases that have no cure in conventional drugs and offer to bring us closer than ever to "personalized medicine." They also counteract cancer and other infectious and neuro-diseases. Early diagnosis, prognosis, staging, and sub-classification of various cancers can easily be facilitated by microRNA-based biomarkers. MicroRNA surveys recent advances in RNA and RNA-protein components that highlight RNA delivery, its stability, and applications of RNA-based drugs for the modulation of gene/protein expression and gene editing. The book not only focuses on the modern medicines of microRNA-based early diagnostic and therapy development, but also works as a hidden treasure for drug discovery of multiple rare diseases worldwide. It offers indispensable learning materials for academic researchers, graduate, and medical students, and offers a powerful practical guide for RNA-Pharma and gene therapy industries.
With the predicted increase of the human population and the subsequent need for larger food supplies, root health in crop plants could play a major role in providing sustainable highly productive crops that can cope with global climate changes. While the essentiality of roots and their relation to plant performance is broadly recognized, less is known about their role in plant growth and development. Root Genomics examines how various new genomic technologies are rapidly being applied to the study of roots, including high-throughput sequencing and genotyping, TILLING, transcription factor analysis, comparative genomics, gene discovery and transcriptional profiling, post-transcriptional events regulating microRNAs, proteome profiling and the use of molecular markers such as SSRs, DArTs, and SNPs for QTL analyses and the identification of superior genes/alleles. The book also covers topics such as the molecular breeding of crops in problematic soils and the responses of roots to a variety of stresses.
The development of PCR, which enables extremely small amounts of DNA to be amplified, led to the rapid development of a multiplicity of a- lytical procedures to utilize this new resource for analysis of genetic variation and for the detection of disease causing mutations. The advent of capillary electrophoresis (CE), with its power to separate and analyze very small amounts of DNA, has also stimulated researchers to develop analytical procedures for the CE format. The advantages of CE in terms of speed and reproducibility of analysis are manifold. Further, the high sensitivity of detection, and the ab- ity to increase sample throughput with parallel analysis, has led to the creation of a full range of analysis of DNA molecules, from modified DNA-adducts and single-strand oligonucleotides through to PCR-amplified DNA fragments and whole chromosomes. Capillary Electrophoresis of Nucleic Acids focuses on such analytical protocols, which can be used for detection and analysis of mutations and modification, from precise DNA loci through to entire genomes of organisms. Important practical considerations for CE, such as the choice of separation media, electrophoresis conditions, and the influence of buffer additives and dyes on DNA mobility, are discussed in several key chapters and within particular applications.
This book contains a broad survey on the peroxiredoxins. It involves almost all groups that contributed significant insights into the emerging field. Coverage discusses the diverse biological roles of the new protein family in the context of other antioxidant systems like those based on heme or selenium catalysis. In addition, the book highlights related future perspectives.
Discusses the problem of structural-functional organization of eukaryotic cell nuclei with special emphasis on the genome spatial organization and functioning. The opening chapters describe the nuclear matrix and the fate of its components in the course of mitosis. In the next eight chapters the organization of chromosomal DNA into large loops and
In the past several years, DNA microarray technology has attracted tremendous interest in both the scientific community and in industry. With its ability to simultaneously measure the activity and interactions of thousands of genes, this modern technology promises unprecedented new insights into mechanisms of living systems. Currently, the primary applications of microarrays include gene discovery, disease diagnosis and prognosis, drug discovery (pharmacogenomics), and toxicological research (toxicogenomics). Typical scientific tasks addressed by microarray experiments include the identification of coexpressed genes, discovery of sample or gene groups with similar expression patterns, identification of genes whose expression patterns are highly differentiating with respect to a set of discerned biological entities (e.g., tumor types), and the study of gene activity patterns under various stress conditions (e.g., chemical treatment). More recently, the discovery, modeling, and simulation of regulatory gene networks, and the mapping of expression data to metabolic pathways and chromosome locations have been added to the list of scientific tasks that are being tackled by microarray technology. Each scientific task corresponds to one or more so-called data analysis tasks. Different types of scientific questions require different sets of data analytical techniques. Broadly speaking, there are two classes of elementary data analysis tasks, predictive modeling and pattern-detection. Predictive modeling tasks are concerned with learning a classification or estimation function, whereas pattern-detection methods screen the available data for interesting, previously unknown regularities or relationships.
Cardiac Gene Expression: Methods and Protocols presents both
cutting-edge and established methods for studying cardiac gene
expression. The protocols provide a template for solid research,
and cover the process through screening, analysis,
characterization, and functional confirmation of novel genes or
known genes with a new function.
The genomes of humans, as well as many other species, are interspersed with hundreds of thousands of tandem repeats of DNA sequences. Those tandem repeats located as codons within open reading frames encode amino acid runs, such as polyglutamine and polyalanine. Tandem repeats have not only been implicated in biological evolution, development and function but also in a large collection of human disorders. In Tandem Repeats in Genes, Proteins, and Disease: Methods and Protocols, expert researchers in the field detail many methods covering the analysis of tandem repeats in DNA, RNA and protein, in healthy and diseased states. This will include molecular genetics, molecular biology, biochemistry, proteomics, biophysics, cell biology, and molecular and cellular approaches to animal models of tandem repeat disorders. Written in the highly successful Methods in Molecular Biology (TM) 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. Authoratative and Practical, Tandem Repeats in Genes, Proteins, and Disease: Methods and Protocols aids scientists in continuing to study the unique methodological challenges that come from repetitive DNA and poly-amino acid sequences.
With the dramatic increase in RNA 3D structure determination in recent years, we now know that RNA molecules are highly structured. Moreover, knowledge of RNA 3D structures has proven crucial for understanding in atomic detail how they carry out their biological functions. Because of the huge number of potentially important RNA molecules in biology, many more than can be studied experimentally, we need theoretical approaches for predicting 3D structures on the basis of sequences alone. This volume provides a comprehensive overview of current progress in the field by leading practitioners employing a variety of methods to model RNA 3D structures by homology, by fragment assembly, and by de novo energy and knowledge-based approaches.
Quantitative Real-Time PCR: Methods and Protocols focuses on different applications of qPCR ranging from microbiological detections (both viral and bacterial) to pathological applications. Several chapters deal with quality issues which regard the quality of starting material, the knowledge of the minimal information required to both perform an assay and to set the experimental plan, while the others focus on translational medicine applications that are ordered following an approximate logical order of their medical application. The last part of the book gives you an idea of an emerging digital PCR technique that is a unique qPCR approach for measuring nucleic acid, particularly suited for low level detection and to develop non-invasive diagnosis. Written for the Methods in Molecular Biology series, most chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, laboratory protocols and tips on troubleshooting and avoiding known pitfalls. Practical and authoritative, Quantitative Real-Time PCR: Methods and Protocols aims to aid researchers seeking to devise new qPCR-based approaches related to his or her area of investigation.
Cellular editing of RNA can lead to the recoding of expressed sequences before they mature to their functional gene products - such as proteins or regulatory RNAs - and represents a hidden layer of genetic information and regulation. Often, the recoding events are essential for the normal function of the gene product (for example, creating an open reading frame). In other cases, RNA editing creates additional variation and phenotypic diversity since both the edited and the non-edited versions of the product are functional and co-exist. It is necessary to understand the mechanisms of RNA editing in order to elucidate the overall physiological impact of this phenomenon. This major new work presents an up-to-date overview of RNA editing. All chapters have been written by experts in the various research areas, describing key recent findings, as well as exploring current frontiers in the mechanisms and functional roles of RNA editing. The chapters span the editing of protein coding mRNAs, small regulatory RNAs, tRNAs, and non-coding sequences. Also included are studies employing bioinformatics to identify and predict RNA editing sites as well as the evolution of RNA modification. The book will be an essential text for anyone interested in RNA editing and modification, RNA structure and function, post-transcriptional regulation, and the regulation of gene expression. It is recommended for all molecular biology libraries.
A compendium of readily reproducible and novel methods to manipulate DNA viruses and characterize their varied biological properties. The authors emphasize techniques for viral detection and genetics, but also include methods for structure determination, gene expression, replication, pathogenesis, complex cellular models, recombinant genetics, and computational/systems approaches. Wide-ranging and highly practical, DNA Viruses: Methods and Protocols will stimulate new directions in virology research with its novel strategies for engineering viral vectors in gene therapy, and its advanced approaches for detecting viruses in human disease.
Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically, a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In "Statistical Methods for Microarray Data Analysis: Methods and Protocols, " expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis. Written in the highly successful "Methods in Molecular Biology " series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, "Statistical Methods for Microarray Data Analysis: ""Methods and Protocols "aids scientists in continuing to study microarrays and the most current statistical methods.
nd During June 13 -June 23 1996, the 2 EL. B. A. Foundation course on Genome, a NATO Advanced Study Institute, was held at Marcian Marina, Isle of Elba, Italy, - sponsored by the North Atlantic Treaty Organization and the EL. B. A. Fundation. The subject of the course was "Genome Structure and Function" with participants selected worldwire from 15 afferent countries. The purpose of the course and of the resulting book is the study of DNA structure (from the primary to the quintemary) and gene expression in the control of cell function and cell cycle progression; the topics were presented by top experts, covering both structural (cbwn to the atomic resolution) and functional (cbwn to gene level) aspects. The topics were presented by top experts and scientists active in the field, with the goal to give an insight into modm problems of genome study and recent ochievements in related fielm of molecular and cell biology, genetic engineering, biochemistry and biophysics, oncology and biotechnology. This resulting book is intenred to give a broad perspecti ve of the current stand of these fields. The major emphasis is towarm a reep unrerstanang of DNA structure and function in intetphase and metaphase chromosomes, originating by the parallel biophysical (namely NMR X-Ray and neutron scattering, spectropolarimetry, image analysis, calorimetry) and biochemical study conwcted on a wire range of cell systems placing the emphasis on either the higher orrer DNA structure or gene structure and function.
This volume presents detailed laboratory protocols for in vitro synthesis of mRNA with favorable properties, its introduction into cells by a variety of techniques, and the measurement of physiological and clinical consequences such as protein replacement and cancer immunotherapy. Synthetic techniques are described for structural features in mRNA that provide investigational tools such as fluorescence emission, click chemistry, photo-chemical crosslinking, and that produce mRNA with increased stability in the cell, increased translational efficiency, and reduced activation of the innate immune response. Protocols are described for clinical applications such as large-scale transfection of dendritic cells, production of GMP-grade mRNA, redirecting T cell specificity, and use of molecular adjuvants for RNA vaccines. 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 laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Synthetic mRNA: Production, Introduction into Cells, and Physiological Consequences is a valuable and cutting-edge resource for both laboratory investigators and clinicians interested in this powerful and rapidly evolving technology.
In this volume, internationally recognized 'Neurospora' experts critically review the most important research and demonstrate the breadth of applications to industrial biology, biofuels, agriculture, and human health.
This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike. Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.
Sequencing is often associated with the Human Genome Project and celebrated achievements concerning the DNA molecule. However, the history of this practice comprises not only academic biology, but also the world of computer-assisted information management. The book uncovers this history, qualifying the hype and expectations around genomics. |
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