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Label-free biosensors are devices that use biological or chemical receptors to detect analytes (molecules) in a sample. They give detailed information on the selectivity, affinity, and, in many cases, also the binding kinetics and thermodynamics of an interaction. Although they can be powerful tools in the hands of a skilled user, there is often a lack of knowledge of the best methods for using label-free assays to screen for biologically active molecules and accurately and precisely characterize molecular recognition events. This book reviews both established and newer label-free techniques giving both the expert user and the general reader interested in the technologies and applications behind label-free an insight into the field from expert opinion leaders and practitioners of the technologies. Most importantly, chapters contain worked examples from leaders in the field that take the reader through the basics of experimental design, setup, assay development, and data analysis.
Label-free biosensors are devices that use biological or chemical receptors to detect analytes (molecules) in a sample. They give detailed information on the selectivity, affinity, and, in many cases, also the binding kinetics and thermodynamics of an interaction. Although they can be powerful tools in the hands of a skilled user, there is often a lack of knowledge of the best methods for using label-free assays to screen for biologically active molecules and accurately and precisely characterize molecular recognition events. This book reviews both established and newer label-free techniques and is intended to give both the expert user and the general reader interested in the technologies and applications behind label-free an insight into the field from expert opinion leaders and practitioners of the technologies. Most importantly, chapters contain worked examples from leaders in the field that take the reader through the basics of experimental design, setup, assay development, and data analysis.
Advances in genomics and combinatorial chemistry during the past two decades inspired innovative technologies and changes in the discovery and pre-clinical development paradigm with the goal of accelerating the process of bringing therapeutic drugs to market. Written by William Kisaalita, one of the foremost experts in this field, 3D Cell-Based Biosensors in Drug Discovery Programs: Microtissue Engineering for High Throughput Screening provides the latest information — from theory to practice — on challenges and opportunities for incorporating 3D cell-based biosensors or assays in drug discovery programs. The book supplies a historical perspective and defines the problem 3D cultures can solve. It also discusses how genomics and combinatorial chemistry have changed the way drug are discovered and presents data from the literature to underscore the less-than-desirable pharmaceutical industry performance under the new paradigm. The author uses results from his lab and those of other investigators to show how 3D micro environments create cell culture models that more closely reflect normal in vivo-like cell morphology and function. He makes a case for validated biomarkers for three-dimensionality in vitro and discusses the advantages and disadvantages of promising tools in the search of these biomarkers. The book concludes with case studies of drugs that were abandoned late in the discovery process, which would have been discarded early if tested with 3D cultures. Dr. Kisaalita presents evidence in support of embracing 3D cell-based systems for widespread use in drug discovery programs. He goes to the root of the issue, establishing the 3D cell-based biosensor physiological relevance by comparing 2D and 3D culture from genomic to functional levels. He then assembles the bioengineering principles behind successful 3D cell-based biosensor systems. Kisaalita also addresses the challenges and opportunities for incorporating 3D cell-based biosensors or cultures in current discovery and pre-clinical development programs. This book makes the case for widespread adoption of 3D cell-based systems, rendering their 2D counterparts, in the words of Dr. Kisaalita "quaint, if not archaic" in the near future.
Cost-effective manufacturing of biopharmaceutical products is rapidly gaining in importance, while healthcare systems across the globe are looking to contain costs and improve efficiency. To adapt to these changes, industries need to review and streamline their manufacturing processes. This two volume handbook systematically addresses the key steps and challenges in the production process and provides valuable information for medium to large scale producers of biopharmaceuticals. It is divided into seven major parts: - Upstream Technologies - Protein Recovery - Advances in Process Development - Analytical Technologies - Quality Control - Process Design and Management - Changing Face of Processing With contributions by around 40 experts from academia as well as small and large biopharmaceutical companies, this unique handbook is full of first-hand knowledge on how to produce biopharmaceuticals in a cost-effective and quality-controlled manner.
Over the past two decades the benefits of label-free biosensor analysis have begun to make an impact in the market, and systems are beginning to be used as mainstream research tools in many drug discovery laboratories. Label-Free Technologies For Drug Discovery summarises the latest and emerging developments in label-free detection systems, their underlying technology principles and end-user case studies that reveal the power and limitations of label-free in all areas of drug discovery. Label-free technologies discussed include SPR, NMR, high-throughput mass spectrometry, resonant waveguide plate-based screening, transmitted-light imaging, isothermal titration calorimetry, optical and impedance cell-based assays and other biophysical methods. The technologies are discussed in relation to their use as screening technologies, high-content technologies, hit finding and hit validation strategies, mode of action and ADME/T, access to difficult target classes, cell-based receptor/ligand interactions particularly orphan receptors, and antibody and small molecule affinity and kinetic analysis. Label-Free Technologies For Drug Discovery is an essential guide to this emerging class of tools for researchers in drug discovery and development, particularly high-throughput screening and compound profiling teams, medicinal chemists, structural biologists, assay developers, ADME/T specialists, and others interested in biomolecular interaction analysis.
Over the past two decades the benefits of label-free biosensor analysis have begun to make an impact in the market, and systems are beginning to be used as mainstream research tools in many drug discovery laboratories. Label-Free Technologies For Drug Discovery summarises the latest and emerging developments in label-free detection systems, their underlying technology principles and end-user case studies that reveal the power and limitations of label-free in all areas of drug discovery. Label-free technologies discussed include SPR, NMR, high-throughput mass spectrometry, resonant waveguide plate-based screening, transmitted-light imaging, isothermal titration calorimetry, optical and impedance cell-based assays and other biophysical methods. The technologies are discussed in relation to their use as screening technologies, high-content technologies, hit finding and hit validation strategies, mode of action and ADME/T, access to difficult target classes, cell-based receptor/ligand interactions particularly orphan receptors, and antibody and small molecule affinity and kinetic analysis. Label-Free Technologies For Drug Discovery is an essential guide to this emerging class of tools for researchers in drug discovery and development, particularly high-throughput screening and compound profiling teams, medicinal chemists, structural biologists, assay developers, ADME/T specialists, and others interested in biomolecular interaction analysis.
Astrobiology is a remarkably interdisciplinary field. This reference serves as a key to understanding technical terms from the different subfields of astrobiology, including astronomy, biology, chemistry, the geosciences and the space sciences.

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