Chromatographic Methods In Metabolomics
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Chromatographic Methods In Metabolomics
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Author : Tuulia Hyotylainen
language : en
Publisher: Royal Society of Chemistry
Release Date : 2013
Chromatographic Methods In Metabolomics written by Tuulia Hyotylainen and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Science categories.
Intends to present chromatographic techniques in metabolomics in a fundamental way. This book covers the chromatographic techniques, such as liquid chromatography, gas chromatography, comprehensive two-dimensional gas chromatography and electrochromatographic techniques utilised in metabolomics.
Metabolomics
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Author : Wolfram Weckwerth
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-04
Metabolomics written by Wolfram Weckwerth and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-04 with Science categories.
Metabolomics: Methods and Protocols examines the state-of-the-art in metabolomic analysis. Leading researchers in the field present protocols for the application of complementary analytical methods, such as gas chromatography-mass spectrometry (GC-MS). Metabolomics: Methods and Protocols contains forward-looking protocols, which provide the essential groundwork for future efforts in elucidating the structure of the unknowns detected in metabolomic studies.
Advanced Mass Spectrometry Based Analytical Separation Techniques For Probing The Polar Metabolome
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Author : Rawi Ramautar
language : en
Publisher: Royal Society of Chemistry
Release Date : 2021-07-21
Advanced Mass Spectrometry Based Analytical Separation Techniques For Probing The Polar Metabolome written by Rawi Ramautar and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Science categories.
Discussing the state-of-the-art of the proposed topics in one single book for probing the polar metabolome, using relevant examples, is unique and needed in the metabolomics field.
Metabolomics
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Author : Paul L. Wood
language : en
Publisher: Humana
Release Date : 2020-11-01
Metabolomics written by Paul L. Wood and has been published by Humana this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-01 with Medical categories.
This volume discusses the latest analytical approaches used to sample defined molecular populations of metabolites via functional group derivatization, specialized chromatographic methods, and ionization techniques. Chapters cover key methods for sample introductions to the ion source, including direct flow, gas chromatography, liquid chromatography, and capillary electrophoresis. Chapters also explore non-targeted and targeted analyses, as well as the emerging field of metallomics. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Cutting-edge and authoritative, Metabolomics is a valuable resource for students, researchers, practicing physicians and veterinarians, and administrators involved in the funding of research.
Separation Techniques Applied To Omics Sciences
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Author : Ana Valéria Colnaghi Simionato
language : en
Publisher: Springer Nature
Release Date : 2021-10-09
Separation Techniques Applied To Omics Sciences written by Ana Valéria Colnaghi Simionato and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-09 with Science categories.
This book covers liquid chromatography, gas chromatography and capillary electrophoresis, the three main separation techniques lately available, applied to key omic sciences, such as genomics, proteomics, metabolomics and foodomics. The fundamentals of each technique are not covered herein. Instead, the recent advances in such techniques are presented focusing on the application to omics analyses and unique aspects in each case. This volume intends to offer wide ranging options available to researchers on omics sciences, and how to integrate them in order to achieve the comprehension of a biological system as a whole. Omic sciences have been of ultimate importance to comprehend the complex biochemical reactions and related events that occurs upon a biological system. The classical central dogma of molecular biology, which states that genetic information flows unidirectionally from DNA to RNA and then to proteins, has been gradually replaced by the systems biology approach. This book presents a multidisciplinary approach that explains the biological system as a whole, where the entire organism is influenced by a variety of internal events as well as by the environment, showing that each level of the biological information flux may influence the previous or the subsequent one.
Machine Learning Methods For The Analysis Of Liquid Chromatography Mass Spectrometry Datasets In Metabolomics
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Author : Francesc Fernández Albert
language : en
Publisher:
Release Date : 2014
Machine Learning Methods For The Analysis Of Liquid Chromatography Mass Spectrometry Datasets In Metabolomics written by Francesc Fernández Albert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Liquid Chromatography-Mass Spectrometry (LC/MS) instruments are widely used in Metabolomics. To analyse their output, it is necessary to use computational tools and algorithms to extract meaningful biological information. The main goal of this thesis is to provide with new computational methods and tools to process and analyse LC/MS datasets in a metabolomic context. A total of 4 tools and methods were developed in the context of this thesis. First, it was developed a new method to correct possible non-linear drift effects in the retention time of the LC/MS data in Metabolomics, and it was coded as an R package called HCor. This method takes advantage of the retention time drift correlation found in typical LC/MS data, in which there are chromatographic regions in which their retention time drift is consistently different than other regions. Our method makes the hypothesis that this correlation structure is monotonous in the retention time and fits a non-linear model to remove the unwanted drift from the dataset. This method was found to perform especially well on datasets suffering from large drift effects when compared to other state-of-the art algorithms. Second, it was implemented and developed a new method to solve known issues of peak intensity drifts in metabolomics datasets. This method is based on a two-step approach in which are corrected possible intensity drift effects by modelling the drift and then the data is normalised using the median of the resulting dataset. The drift was modelled using a Common Principal Components Analysis decomposition on the Quality Control classes and taking one, two or three Common Principal Components to model the drift space. This method was compared to four other drift correction and normalisation methods. The two-step method was shown to perform a better intensity drift removal than all the other methods. All the tested methods including the two-step method were coded as an R package called intCor and it is publicly available. Third, a new processing step in the LC/MS data analysis workflow was proposed. In general, when LC/MS instruments are used in a metabolomic context, a metabolite may give a set of peaks as an output. However, the general approach is to consider each peak as a variable in the machine learning algorithms and statistical tests despite the important correlation structure found between those peaks coming from the same source metabolite. It was developed an strategy called peak aggregation techniques, that allow to extract a measure for each metabolite considering the intensity values of the peaks coming from this metabolite across the samples in study. If the peak aggregation techniques are applied on each metabolite, the result is a transformed dataset in which the variables are no longer the peaks but the metabolites. 4 different peak aggregation techniques were defined and, running a repeated random sub-sampling cross-validation stage, it was shown that the predictive power of the data was improved when the peak aggregation techniques were used regardless of the technique used. Fourth, a computational tool to perform end-to-end analysis called MAIT was developed and coded under the R environment. The MAIT package is highly modular and programmable which ease replacing existing modules for user-created modules and allow the users to perform their personalised LC/MS data analysis workflows. By default, MAIT takes the raw output files from an LC/MS instrument as an input and, by applying a set of functions, gives a metabolite identification table as a result. It also gives a set of figures and tables to allow for a detailed analysis of the metabolomic data. MAIT even accepts external peak data as an input. Therefore, the user can insert peak table obtained by any other available tool and MAIT can still perform all its other capabilities on this dataset like a classification or mining the Human Metabolome Dataset which is included in the package.
Sample Preparation In Metabolomics
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Author : Julia Kuligowski
language : en
Publisher: MDPI
Release Date : 2021-04-07
Sample Preparation In Metabolomics written by Julia Kuligowski and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-07 with Medical categories.
Metabolomics is increasingly being used to explore the dynamic responses of living systems in biochemical research. The complexity of the metabolome is outstanding, requiring the use of complementary analytical platforms and methods for its quantitative or qualitative profiling. In alignment with the selected analytical approach and the study aim, sample collection and preparation are critical steps that must be carefully selected and optimized to generate high-quality metabolomic data. This book showcases some of the most recent developments in the field of sample preparation for metabolomics studies. Novel technologies presented include electromembrane extraction of polar metabolites from plasma samples and guidelines for the preparation of biospecimens for the analysis with high-resolution μ magic-angle spinning nuclear magnetic resonance (HR-μMAS NMR). In the following chapters, the spotlight is on sample preparation approaches that have been optimized for diverse bioanalytical applications, including the analysis of cell lines, bacteria, single spheroids, extracellular vesicles, human milk, plant natural products and forest trees.
Metabolome Analysis
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Author : Silas G. Villas-Boas
language : en
Publisher: John Wiley & Sons
Release Date : 2007-02-16
Metabolome Analysis written by Silas G. Villas-Boas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-16 with Science categories.
Providing information on the main approaches for the analysis of metabolites, this textbook: Covers basic methodologies in sample preparation and separation techniques, as well as the most recent techniques of mass spectrometry. Differentiates between primary and secondary metabolites. Includes four chapters discussing successful metabolome studies of different organisms. Highlights the analytical challenges of studying metabolites. Illustrates applications of metabolome analysis through the use of case studies.
Proteomic And Metabolomic Approaches To Biomarker Discovery
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Author : Haleem J. Issaq
language : en
Publisher: Academic Press
Release Date : 2013-05-20
Proteomic And Metabolomic Approaches To Biomarker Discovery written by Haleem J. Issaq and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-20 with Science categories.
Proteomic and Metabolomic Approaches to Biomarker Discovery demonstrates how to leverage biomarkers to improve accuracy and reduce errors in research. Disease biomarker discovery is one of the most vibrant and important areas of research today, as the identification of reliable biomarkers has an enormous impact on disease diagnosis, selection of treatment regimens, and therapeutic monitoring. Various techniques are used in the biomarker discovery process, including techniques used in proteomics, the study of the proteins that make up an organism, and metabolomics, the study of chemical fingerprints created from cellular processes. Proteomic and Metabolomic Approaches to Biomarker Discovery is the only publication that covers techniques from both proteomics and metabolomics and includes all steps involved in biomarker discovery, from study design to study execution. The book describes methods, and presents a standard operating procedure for sample selection, preparation, and storage, as well as data analysis and modeling. This new standard effectively eliminates the differing methodologies used in studies and creates a unified approach. Readers will learn the advantages and disadvantages of the various techniques discussed, as well as potential difficulties inherent to all steps in the biomarker discovery process. A vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals, and graduate students, Proteomic and Metabolomic Approaches to Biomarker Discovery provides the information needed to reduce clinical error in the execution of research. Describes the use of biomarkers to reduce clinical errors in research Includes techniques from a range of biomarker discoveries Covers all steps involved in biomarker discovery, from study design to study execution
Practical Gas Chromatography
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Author : Katja Dettmer-Wilde
language : en
Publisher: Springer
Release Date : 2014-11-05
Practical Gas Chromatography written by Katja Dettmer-Wilde and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-05 with Science categories.
Gas chromatography continues to be one of the most widely used analytical techniques, since its applications today expand into fields such as biomarker research or metabolomics. This new practical textbook enables the reader to make full use of gas chromatography. Essential fundamentals and their implications for the practical work at the instrument are provided, as well as details on the instrumentation such as inlet systems, columns and detectors. Specialized techniques from all aspects of GC are introduced ranging from sample preparation, solvent-free injection techniques, and pyrolysis GC, to separation including fast GC and comprehensive GCxGC and finally detection, such as GC-MS and element-specific detection. Various fields of application such as enantiomer, food, flavor and fragrance analysis, physicochemical measurements, forensic toxicology, and clinical analysis are discussed as well as cutting-edge application in metabolomics is covered.