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Coupling features of chromatography and mass spectrometry, SELDI is a popular method of biomarker discovery. This volume reviews its current applications, emphasizing study and experimental design, data analysis and interpretation, and assay development.
Mass spectrometry is fast becoming an indispensable field for medical professionals. The mass spectrometric analysis of metabolites and proteins promises to revolutionize medical research and clinical diagnostics. As this technology rapidly enters the medical field, practicing professionals and students need to prepare to take full advantage of its capabilities. Medical Applications of Mass Spectrometry addresses the key issues in the medical applications of mass spectrometry at the level appropriate for the intended readership. It will go a long way to help the utilization of mass spectrometry in medicine.The book comprises five parts. A general overview is followed by a description of the basic sampling and separation methods in analytical chemistry. In the second part a solid foundation in mass spectrometry and modern techniques of data analysis is presented. The third part explains how mass spectrometry is used in exploring various classes of biomolecules, including proteins and lipids. In the fourth section mass spectrometry is introduced as a diagnostic tool in clinical treatment, infectious pathogen research, neonatal diagnostics, cancer, brain and allergy research, as well as in various fields of medicine: cardiology, pulmonology, neurology, psychiatric diseases, hemato-oncology, urologic diseases, gastrointestinal diseases, gynecology and pediatrics. The fifth part covers emerging applications in biomarker discovery and in mass spectrometric imaging. * Provides a broad look at how the medical field is benefiting from advances in mass spectrometry.* Guides the reader from basic principles and methods to cutting edge applications.* There is NO comparable book on the market to fill this fast growing field.
This book highlights the triumph of MALDI-TOF mass spectrometry over the past decade and provides insight into new and expanding technologies through a comprehensive range of short chapters that enable the reader to gauge their current status and how they may progress over the next decade. This book serves as a platform to consolidate current strengths of the technology and highlight new frontiers in tandem MS/MS that are likely to eventually supersede MALDI-TOF MS. Chapters discuss: Challenges of Identifying Mycobacterium to the Species level Identification of Bacteroides and Other Clinically Relevant Anaerobes Identification of Species in Mixed Microbial Populations Detection of Resistance Mechanisms Proteomics as a biomarker discovery and validation platform Determination of Antimicrobial Resistance using Tandem Mass Spectrometry
This monograph reviews all relevant technologies based on mass spectrometry that are used to study or screen biological interactions in general. Arranged in three parts, the text begins by reviewing techniques nowadays almost considered classical, such as affinity chromatography and ultrafiltration, as well as the latest techniques. The second part focusses on all MS-based methods for the study of interactions of proteins with all classes of biomolecules. Besides pull down-based approaches, this section also emphasizes the use of ion mobility MS, capture-compound approaches, chemical proteomics and interactomics. The third and final part discusses other important technologies frequently employed in interaction studies, such as biosensors and microarrays. For pharmaceutical, analytical, protein, environmental and biochemists, as well as those working in pharmaceutical and analytical laboratories.
The thesis focused on data analysis of surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI-TOF MS) for biomarker discovery and cancer classification. It investigated quantitative measures of reproducibility and found that SELDI protein profiles are affected by sample storage and processing procedure. Two new peak alignment algorithms were proposed, one of which achieved the best performance when compared to the existing methods. The assumption of normality of SELDI protein profiles, on which the standard statistical methods are based, was examined. Normality tests and the multiple testing procedures revealed that SELDI protein profiles do not follow normal distributions, implying that it may be reliable to use non-parametric methods for detecting disease-associated proteins. A new normalisation algorithm was proposed, and was shown to give a better improvement of normality compared with the existing methods. An integrated algorithm to discover proteomic biomarkers for cancer diagnosis was proposed and applied to two published SELDI data sets. The results demonstrated that the receiver operating characteristic (ROC) curve method may be more reliable to determine the discriminatory powers of the identified biomarkers compared to Wilcoxon test. The methods for proteomic biomarker discovery presented here may be generalisable and applicable to other mass spectrometry and genomics approaches.
This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.
This authoritative book on MALDI MS, now finally available in its second edition and edited by one of its inventors, gives an in-depth description of the many different applications, along with a detailed discussion of the technology itself. Thoroughly updated and expanded, with contributions from key players in the field, this unique book provides a comprehensive overview of MALDI MS along with its possibilities and limitations. The initial chapters deal with the technology and the instrumental setup, followed by chapters on the use of MALDI MS in protein research (including proteomics), genomics, glycomics and lipidomics. The option of MALDI-MS for the analysis of polymers and small molecules are also covered in separate chapters, while new to this edition is a section devoted to the interplay of MALDI MS and bioinformatics. A much-needed practical and educational asset for individuals, academic institutions and companies in the field of bioanalytics.
The thesis focused on data analysis of surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI-TOF MS) for biomarker discovery and cancer classification. It investigated quantitative measures of reproducibility and found that SELDI protein profiles are affected by sample storage and processing procedure. Two new peak alignment algorithms were proposed, one of which achieved the best performance when compared to the existing methods. The assumption of normality of SELDI protein profiles, on which the standard statistical methods are based, was examined. Normality tests and the multiple testing procedures revealed that SELDI protein profiles do not follow normal distributions, implying that it may be reliable to use non-parametric methods for detecting disease-associated proteins. A new normalisation algorithm was proposed, and was shown to give a better improvement of normality compared with the existing methods. An integrated algorithm to discover proteomic biomarkers for cancer diagnosis was proposed and applied to two published SELDI data sets. The results demonstrated that the receiver operating characteristic (ROC) curve method may be more reliable to determine the discriminatory powers of the identified biomarkers compared to Wilcoxon test. The methods for proteomic biomarker discovery presented here may be generalisable and applicable to other mass spectrometry and genomics approaches.
Provides a comprehensive description of mass spectrometry basics, applications, and perspectives Mass spectrometry is a modern analytical technique, allowing for fast and ultrasensitive detection and identification of chemical species. It can serve for analysis of narcotics, counterfeit medicines, components of explosives, but also in clinical chemistry, forensic research and anti-doping analysis, for identification of clinically relevant molecules as biomarkers of various diseases. This book describes everything readers need to know about mass spectrometry—from the instrumentation to the theory and applications. It looks at all aspects of mass spectrometry, including inorganic, organic, forensic, and biological MS (paying special attention to various methodologies and data interpretation). It also contains a list of key terms for easier and faster understanding of the material by newcomers to the subject and test questions to assist lecturers. Knowing how crucial it is for young researchers to fully understand both the power of mass spectrometry and the importance of other complementary methodologies, Mass Spectrometry: An Applied Approach teaches that it should be used in conjunction with other techniques such as NMR, pharmacological tests, structural identification, molecular biology, in order to reveal the true function(s) of the identified molecule. Provides a description of mass spectrometry basics, applications and perspectives of the technique Oriented to a broad audience with limited or basic knowledge in mass spectrometry instrumentation, theory, and its applications in order to enhance their competence in this field Covers all aspects of mass spectrometry, including inorganic, organic, forensic, and biological MS with special attention to application of various methodologies and data interpretation Includes a list of key terms, and test questions, for easier and faster understanding of the material Mass Spectrometry: An Applied Approach is highly recommended for advanced students, young scientists, and anyone involved in a field that utilizes the technique.
Written by recognized experts in the study of proteins, Proteomics for Biological Discovery begins by discussing the emergence of proteomics from genome sequencing projects and a summary of potential answers to be gained from proteome-level research. The tools of proteomics, from conventional to novel techniques, are then dealt with in terms of underlying concepts, limitations and future directions. An invaluable source of information, this title also provides a thorough overview of the current developments in post-translational modification studies, structural proteomics, biochemical proteomics, microfabrication, applied proteomics, and bioinformatics relevant to proteomics. Presents a comprehensive and coherent review of the major issues faced in terms of technology development, bioinformatics, strategic approaches, and applications Chapters offer a rigorous overview with summary of limitations, emerging approaches, questions, and realistic future industry and basic science applications Discusses higher level integrative aspects, including technical challenges and applications for drug discovery Accessible to the novice while providing experienced investigators essential information Proteomics for Biological Discovery is an essential resource for students, postdoctoral fellows, and researchers across all fields of biomedical research, including biochemistry, protein chemistry, molecular genetics, cell/developmental biology, and bioinformatics.