Download or read book Statistical Methods for Mass Spectrometry based Clinical Proteomics written by and published by . This book was released on 2018 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Analysis of Proteomics Metabolomics and Lipidomics Data Using Mass Spectrometry written by Susmita Datta and published by Springer. This book was released on 2016-12-15 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data. This contributed volume provides an introduction to the special aspects of statistical design and analysis with mass spectrometry data for the new omic sciences. The text discusses common aspects of design and analysis between and across all (or most) forms of mass spectrometry, while also providing special examples of application with the most common forms of mass spectrometry. Also covered are applications of computational mass spectrometry not only in clinical study but also in the interpretation of omics data in plant biology studies. Omics research fields are expected to revolutionize biomolecular research by the ability to simultaneously profile many compounds within either patient blood, urine, tissue, or other biological samples. Mass spectrometry is one of the key analytical techniques used in these new omic sciences. Liquid chromatography mass spectrometry, time-of-flight data, and Fourier transform mass spectrometry are but a selection of the measurement platforms available to the modern analyst. Thus in practical proteomics or metabolomics, researchers will not only be confronted with new high dimensional data types—as opposed to the familiar data structures in more classical genomics—but also with great variation between distinct types of mass spectral measurements derived from different platforms, which may complicate analyses, comparison, and interpretation of results.
Download or read book Computational and Statistical Methods for Protein Quantification by Mass Spectrometry written by Ingvar Eidhammer and published by John Wiley & Sons. This book was released on 2012-12-10 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author’s carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experiment, allowing readers to acquire new knowledge as well as acting as a useful reference work for more advanced readers. Computational and Statistical Methods for Protein Quantification by Mass Spectrometry: Introduces the use of mass spectrometry in protein quantification and how the bioinformatics challenges in this field can be solved using statistical methods and various software programs. Is illustrated by a large number of figures and examples as well as numerous exercises. Provides both clear and rigorous descriptions of methods and approaches. Is thoroughly indexed and cross-referenced, combining the strengths of a text book with the utility of a reference work. Features detailed discussions of both wet-lab approaches and statistical and computational methods. With clear and thorough descriptions of the various methods and approaches, this book is accessible to biologists, informaticians, and statisticians alike and is aimed at readers across the academic spectrum, from advanced undergraduate students to post doctorates entering the field.
Download or read book Clinical Proteomics written by Antonia Vlahou and published by Springer Science & Business Media. This book was released on 2008-01-18 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistical Methods for the Analysis of Mass Spectrometry based Proteomics Data written by Xuan Wang and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Proteomics serves an important role at the systems-level in understanding of biological functioning. Mass spectrometry proteomics has become the tool of choice for identifying and quantifying the proteome of an organism. In the most widely used bottom-up approach to MS-based high-throughput quantitative proteomics, complex mixtures of proteins are first subjected to enzymatic cleavage, the resulting peptide products are separated based on chemical or physical properties and then analyzed using a mass spectrometer. The three fundamental challenges in the analysis of bottom-up MS-based proteomics are as follows: (i) Identifying the proteins that are present in a sample, (ii) Aligning different samples on elution (retention) time, mass, peak area (intensity) and etc, (iii) Quantifying the abundance levels of the identified proteins after alignment. Each of these challenges requires knowledge of the biological and technological context that give rise to the observed data, as well as the application of sound statistical principles for estimation and inference. In this dissertation, we present a set of statistical methods in bottom-up proteomics towards protein identification, alignment and quantification. We describe a fully Bayesian hierarchical modeling approach to peptide and protein identification on the basis of MS/MS fragmentation patterns in a unified framework. Our major contribution is to allow for dependence among the list of top candidate PSMs, which we accomplish with a Bayesian multiple component mixture model incorporating decoy search results and joint estimation of the accuracy of a list of peptide identifications for each MS/MS fragmentation spectrum. We also propose an objective criteria for the evaluation of the False Discovery Rate (FDR) associated with a list of identifications at both peptide level, which results in more accurate FDR estimates than existing methods like PeptideProphet. Several alignment algorithms have been developed using different warping functions. However, all the existing alignment approaches suffer from a useful metric for scoring an alignment between two data sets and hence lack a quantitative score for how good an alignment is. Our alignment approach uses "Anchor points" found to align all the individual scan in the target sample and provides a framework to quantify the alignment, that is, assigning a p-value to a set of aligned LC-MS runs to assess the correctness of alignment. After alignment using our algorithm, the p-values from Wilcoxon signed-rank test on elution (retention) time, M/Z, peak area successfully turn into non-significant values. Quantitative mass spectrometry-based proteomics involves statistical inference on protein abundance, based on the intensities of each protein's associated spectral peaks. However, typical mass spectrometry-based proteomics data sets have substantial proportions of missing observations, due at least in part to censoring of low intensities. This complicates intensity-based differential expression analysis. We outline a statistical method for protein differential expression, based on a simple Binomial likelihood. By modeling peak intensities as binary, in terms of "presence / absence", we enable the selection of proteins not typically amendable to quantitative analysis; e.g., "one-state" proteins that are present in one condition but absent in another. In addition, we present an analysis protocol that combines quantitative and presence / absence analysis of a given data set in a principled way, resulting in a single list of selected proteins with a single associated FDR.
Download or read book Clinical Proteomics written by Antonia Vlahou and published by Humana Press. This book was released on 2014-11-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition expands upon the previous edition with current, detailed developments in the field and brings together a multi-disciplinary team of leading researchers to provide their latest protocols for clinical proteomics analysis. 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, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and Practical, Clinical Proteomics: Methods and Protocols, Second Edition presents approaches that will serve as a reliable guide to researchers, including clinicians, chemists, molecular biologists, bioinformaticians and computational, biologists, and investigators working on biomarker development.
Download or read book Proteomics Data Analysis written by Daniela Cecconi and published by . This book was released on 2021 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab. Authoritative and practical, Proteomics Data Analysis serves as an ideal guide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics.
Download or read book Proteomics Sample Preparation written by Jörg von Hagen and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This long-awaited first guide to sample preparation for proteomics studies overcomes a major bottleneck in this fast growing technique within the molecular life sciences. By addressing the topic from three different angles -- sample, method and aim of the study -- this practical reference has something for every proteomics researcher. Following an introduction to the field, the book looks at sample preparation for specific techniques and applications and finishes with a section on the preparation of sample types. For each method described, a summary of the pros and cons is given, as well as step-by-step protocols adaptable to any specific proteome analysis task.
Download or read book Mass Spectrometry Based Glycoproteomics and Its Clinic Application written by Haojie Lu and published by CRC Press. This book was released on 2021-09-21 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: As one of the most extensive and important protein post-translational modifications, glycosylation plays a vital role in regulating organisms and is associated with various physiological and pathological processes. Recently, researchers have focused on the need to characterize protein glycosylation sites, structures, and their degree of modification, to better understand their biological functions while also looking for potential biomarkers for diagnosis and treatment of disease. Mass spectrometry (MS) is one of the most powerful tools used to study biomolecules including glycoproteins and glycans. With the continuous development of glycoproteomics and glycomics based on MS analysis, more techniques have evolved and contribute to understanding the structure and function of glycoproteins and glycans. This book reviews advancements achieved in MS-based glycoproteomic analysis, including a wide range of analytical methodologies and strategies involved in selective enrichment; as well as qualitative, quantitative, and data analysis, together with their clinical applications. Significant examples are discussed to illustrate the principles, laboratory protocols, and advice for key implementation to ensure successful results. Mass Spectrometry–Based Glycoproteomics and Its Clinic Application will serve as a valuable resource to elucidate new techniques and their applications for students, postdocs, and researchers working in proteomics, glycoscience, analytical chemistry, biochemistry, and clinical medicine. Editor: Haojie Lu is a professor at Fudan University, specializing in proteomics based on mass spectrometry with particular emphasis on novel technologies for separation and identification of low-abundant proteins and post-translationally modified proteins (including glycosylation), as well as relative and absolute quantification methods for proteomics.
Download or read book Statistical Methods in Clinical Proteomic Studies 2007 2014 written by Irene Suilan Zeng and published by . This book was released on 2014 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical proteomics is a subject of systems biology that investigates large numbers of protein biomarkers associated with human disease. Like the other "omics", proteomics use systems biology techniques to identify proteome-wide markers simultaneously. Unlike genomics that has been established for decades, proteomics is still in its infancy. The current biotechnologies have limited power to discover all the existing 20,000s proteins from the human body. Biologists have not been able to understand the molecular functions of lots of those identified proteins. Statistical techniques become essential in proteomics research because clinical proteomic studies generate a large amount of quantitative information through systems biology techniques to investigate proteins' molecular activities. The complexities of clinical study and proteomic experiments also require statistical inputs to achieve valid and unbiased inferences. This PhD research firstly proposed a new method to assess the reproducibility in clinical proteomic studies when a new device or new tissue is being used for a proteomic experiment. The reproducibility assessment utilizes a dimensions reduction technique and permutation method to extend the evaluation from a single feature scale to a proteome-wise scale. It secondly proposed algorithms to optimize the study design for a multiple stage study which bridges the biomarker discovery to clinical utility. The optimal design algorithms utilized a hybrid simulated annealing approach to finding the design parameters that achieve a maximal number of discoveries, under the constraints of cost and number of false discoveries. These algorithms were realized via a R package named "proteomicdesign". Finally, a multivariate multilevel model has been proposed for the analysis of proteomic data. The non-random missing data presented in proteomic mass spectrometric experiments were estimated under a Bayesian framework. The proposed analytical method was tested in a simulated study and used in two real life clinical proteomic studies.
Download or read book Quantitative Proteomics written by Claire E Eyers and published by Royal Society of Chemistry. This book was released on 2014 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a component of post-genome science, the field of proteomics has assumed great prominence in recent years. Whereas quantitative analyses focussed initially on relative quantification, a greater emphasis is now placed on absolute quantification and consideration of proteome dynamics. Coverage of the topic of quantitative proteomics requires consideration both of the analytical fundamentals of quantitative mass spectrometry and the specific demands of the problem being addressed. Quantitative Proteomics aims to outline the state of the art in mass spectrometry-based quantitative proteomics, describing recent advances and current limitations in the instrumentation used, together with the various methods employed for generating high quality data. Details on both strategies describing how stable isotope labelling can be applied and methods for performing quantitative analysis of proteins in a label-free manner are given. The utility of these strategies to understanding cellular protein dynamics are then exemplified with chapters looking at spatial proteomics, dynamics of protein function as determined by quantifying changes in protein post-translational modification and protein turnover. Finally, a key application of these techniques to biomarker discovery and validation is presented, together with the rapidly developing area of quantitative analysis of protein-based foodstuffs. This exemplary book is essential reading for analytical and biological mass spectrometrists working in proteomics research, as well as those undertaking either fundamental or clinical-based investigations with an interest in understanding protein dynamics and/or biomarker assessment.
Download or read book Proteome Informatics written by Conrad Bessant and published by Royal Society of Chemistry. This book was released on 2016-11-15 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of proteomics has developed rapidly over the past decade nurturing the need for a detailed introduction to the various informatics topics that underpin the main liquid chromatography tandem mass spectrometry (LC-MS/MS) protocols used for protein identification and quantitation. Proteins are a key component of any biological system, and monitoring proteins using LC-MS/MS proteomics is becoming commonplace in a wide range of biological research areas. However, many researchers treat proteomics software tools as a black box, drawing conclusions from the output of such tools without considering the nuances and limitations of the algorithms on which such software is based. This book seeks to address this situation by bringing together world experts to provide clear explanations of the key algorithms, workflows and analysis frameworks, so that users of proteomics data can be confident that they are using appropriate tools in suitable ways.
Download or read book Mass Spectrometry Data Analysis in Proteomics written by Rune Matthiesen and published by Springer Science & Business Media. This book was released on 2008-02-02 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. The volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters.
Download or read book Statistical Analysis of Proteomic Data written by Thomas Burger and published by Springer Nature. This book was released on 2022-10-29 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results. Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis.
Download or read book Quantitative Methods in Proteomics written by Katrin Marcus and published by Humana Press. This book was released on 2012-06-08 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein modifications and changes made to them, as well as the quantities of expressed proteins, can define the various functional stages of the cell. Accordingly, perturbations can lead to various diseases and disorders. As a result, it has become paramount to be able to detect and monitor post-translational modifications and to measure the abundance of proteins within the cell with extreme sensitivity. While protein identification is an almost routine requirement nowadays, reliable techniques for quantifying unmodified proteins (including those that escape detection under standard conditions, such as protein isoforms and membrane proteins) is not routine. Quantitative Methods in Proteomics gives a detailed survey of topics and methods on the principles underlying modern protein analysis, from statistical issues when planning proteomics experiments, to gel-based and mass spectrometry-based applications. The quantification of post-translational modifications is also addressed, followed by the “hot” topics of software and data analysis, as well as various overview chapters which provide a comprehensive overview of existing methods in quantitative proteomics. Written in the successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, Quantitative Methods in Proteomics serves as a comprehensive and competent overview of the important and still growing field of quantitative proteomics.
Download or read book Mass Spectrometry Based Metabolomics in Clinical and Herbal Medicines written by Aihua Zhang and published by John Wiley & Sons. This book was released on 2021-08-20 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highlights the importance and benefit of mass spectrometry-based metabolomics for identifying biomarkers that accurately screen for potential biomarkers of diseases Mass spectrometry-based metabolomics offer new opportunities for biomarker discovery in complex diseases and may provide pathological understanding of diseases beyond traditional technologies. It is the systematic analysis of low-molecular-weight metabolites in biological samples and has been applied to discovering and identifying the perturbed pathways. Currently, mass spectrometry-based metabolomics has become an important tool in clinical research and the diagnosis of human disease. Mass Spectrometry-Based Metabolomics in Clinical and Herbal Medicines comprehensively presents the current state, challenges, and applications of high-throughput mass spectrometry-based metabolomics such as metabolites analysis, biomarker discovery, technical challenges, discovery of natural product, mechanism interpretation of action, discovery of active ingredients, clinical application and precision medicine, and enhancing their biomedical value in a real world of biomedicine, shedding light on the potential for spectrometry-based metabolomics. It highlights the value of mass spectrometry-based metabolomics and metabolism to address the complexity of herbal medicines in systems pharmacology, especially, to link phytochemical analysis with the assessment of pharmacological effect and therapeutic potential. Each chapter has been laid out with introduction, method, up-to-date literature, identification of biomarker, and applications Covers the current state, challenges, and applications of high-throughput mass spectrometry-based metabolomics in the discovery of biomarker, active ingredients, natural product, etc. Constitutes a unique and indispensable practical guide for any phytochemistry or related laboratory, and provides hands-on description of new techniques Provides a guide for new practitioners of pharmacologists, pharmacological scholars, drug developers, botanist, researchers of traditional medicines. Mass Spectrometry-Based Metabolomics in Clinical and Herbal Medicines provides a landmark of mass spectrometry-based metabolomics research and a beneficial guideline to graduate students and researchers in academia, industry, and technology transfer organizations in all biomedical science fields.
Download or read book Mass Spectrometry Based Proteomics written by Kris Gevaert and published by Springer Nature. This book was released on 2023-09-04 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This detailed volume explores contemporary techniques in mass spectrometry-based proteomics. After covering overall proteome coverage and the cellular surfaceome, the book delves into proximity-induced biotinylation, abduction of protein complexes in viral-like particles, and thermal proteome profiling, as well as protocols for identifying protein N-terminal acetylation, protein processing by proteases, protein N-glycosylation, and protein phosphorylation. The book also collects chapters on automated preparation of clinical samples, the analysis of formalin-fixed paraffin-embedded samples, protocols for the isolation of extracellular vesicles and for the monitoring of selected protein modifications in clinical samples, and, finally, structural proteomics. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Mass Spectrometry-Based Proteomics serves as an ideal guide to its subject for both novices in the field of proteomics as well as specialists.
