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Cell Biology: A Laboratory Handbook, Volume 3 is a handbook on cell biology and covers topics ranging from transfer of macromolecules and small molecules to cloning of embryos, transgenics, and gene targeting. Cell-free extracts, permeabilized cell systems, and expression systems are also discussed, along with proteins. Comprised of 58 chapters, this volume begins with a detailed account of microinjection of RNA, DNA, and proteins into somatic cells, followed by an analysis of computer-automated capillary microinjection of macromolecules into living cells. The reader is then introduced to syringe loading as a method for inserting macromolecules into cells in suspension; electroporation of cells; and the use of liposomes in drug targeting. Subsequent chapters focus on the cloning of rabbit embryos by nuclear transplantation; gene targeting by homologous recombination in embryonic stem cells; production and isolation of recombinant viruses; and gel electrophoresis. This book will be of interest to geneticists and molecular biologists.
The last few years have seen an upsurge of interest in the study of cells by optical microscopy. The advent of new techniques such as confocal microscopy and the availability of extremely sensitive digital imaging devices are revolutioniz-ing the field. A number of groups have developed new ways of making spectroscopic measurements at the microscopic level, accompanied by the introduction of appropriate sen-sor molecules for cellular assays. The aim of this volume will be to bring together the various advances in order to provide the reader with an up-to-date account of what can now be achieved with modern optical microscopic methods.
The chapters in this book thoroughly cover the structure, regulation, and function of matrix metalloproteinases, and provide information on the latest strategies to inhibit enzyme activity. This work will be an indispensable reference tool for investigators with an interest in extracellular matrix biology, matrix turnover, enzymology and biochemistry of proteinases, developmental biology, pathology, and therapeutic interventions. Key Features * Provides state-of-the-art information on a field with broad implications to many areas of biology * Includes detailed coverage of the structure and regulation of all major matrix metalloproteinases * Chapters focus on a timely and expanding field * Topics have direct relevance to understanding human disease pathology of cancer, arthritis, and vascular disease * Discusses latest strategies used in the development of new therapeutics to inhibit metalloproteinase activity.
The study of patterns in the context of ontology engineering for the semantic web was pioneered more than a decade ago by Blomqvist, Sandkuhl and Gangemi. Since then, this line of research has flourished and led to the development of ontology design patterns, knowledge patterns, and linked data patterns: the patterns as they are known by ontology designers, knowledge engineers, and linked data publishers, respectively. A key characteristic of those patterns is that they are modular and reusable solutions to recurrent problems in ontology engineering and linked data publishing. This book contains recent contributions which advance the state of the art on theory and use of ontology design patterns. The papers collected in this book cover a range of topics, from a method to instantiate content patterns, a proposal on how to document a content pattern, to a number of patterns emerging in ontology modeling in various situations.
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale. The book defines knowledge graphs and provides a high-level overview of how they are used. It presents and contrasts popular graph models that are commonly used to represent data as graphs, and the languages by which they can be queried before describing how the resulting data graph can be enhanced ...