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Many questions related to stem cell properties and neural stem cell lineage and differentiation still linger. This second edition revises and expands upon the successful first edition in order to provide the most current, cutting-edge methods of today for the scientists working to answer these questions. The use of these step-by-step, readily reproducible laboratory protocols will allow investigators to produce pure populations that can serve as a means of understanding the biology of neural stem cells and adapting them for transplantation into disease models. This is an excellent source of information and inspiration.
This book provides a concise set of protocols for assessing basic neutrophil functions, investigating specialized areas in neutrophil research, and completing step-by-step diagnostic assays of common neutrophil disorders. Each of the protocols is written by leading researchers in the field and includes hints for success, as well as guidance for troubleshooting. Scientists and clinicians will find this collection an invaluable aid.
In this book, a select group of researchers has contributed their state-of-the-art methodologies on protein profiling and identification of disease biomarkers in tissues, microdissected cells and body fluids. The book integrates biochemistry, pathology, analytical technology, bioinformatics, and proteome informatics. Experimental approaches are thoroughly detailed and explained through a step-by-step instructional format that ensures successful results.
Features: Leading experts present their own most recent advances, Includes a wide spectrum of methods representing tissue engineering in many diverse disciplines, Supplies an understanding of diverse technologies and methods.
At the heart of most high-throughput methods is the technique of polymerase chain reaction (PCR). This book focuses on primer design, which is critical to both the efficiency and the accuracy of the PCR. With intricate descriptions of basic approaches as well as specialized methods, "PCR Primer Design" is an exceptional reference for all those involved in studying the genome.
This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology. It addresses databases, HLA supertypes, MCH binding, and other properties of immune systems. The book contains chapters written by leaders in the field and provides a firm background for anyone working in immunoinformatics in one easy-to-use, insightful volume.
This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules. Also rapidly advancing are the methods for solving the inverse folding problem, the problem of finding a sequence to fit a structure. This book focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well known practitioners.
This is the first book to examine organelle proteomics in depth. It begins by introducing the different analytical strategies developed and successfully utilized to study organelle proteomes, and detailing the use of multidimensional liquid chromatography coupled to tandem mass spectrometry for peptide sample analysis. Detailed protocols are provided and a section is devoted to methods enabling a global estimate of the reliability of the protein list assigned to an organelle.
Neuroinformatics presents cutting-edge techniques for the synergistic study of neuroinformatics. The book facilitates the efforts of discovering neuroscience through the sharing of data and the use of computational models. It demonstrates the use of neuroinformatic components as a mechanism for understanding complex disorders. It contains detailed explanations, advantages, and disadvantages of traditional and non-invasive imaging methods.
With the advent of high-throughput technologies following completion of the human genome project and similar projects, the number of genes of interest has expanded and the traditional methods for gene function analysis cannot achieve the throughput necessary for large-scale exploration. This book brings together a number of recently developed techniques for looking at gene function, including computational, biochemical and biological methods and protocols.