Temporal Metabolite, Ion, and Enzyme Activity Profiling Using Fluorescence Microscopy and Genetically Encoded Biosensors
Living cells employ complex and highly dynamic signaling networks and transcriptional circuits to maintain homeostasis and respond appropriately to constantly changing environments. These networks enable cells to maintain tight control on intracellular co
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Angelo D’Alessandro Editor
High-Throughput Metabolomics Methods and Protocols
Methods
in
M o l e c u l a r B i o lo g y
Series Editor John M. Walker School of Life and Medical Sciences University of Hertfordshire Hatfield, Hertfordshire, AL10 9AB, UK
For further volumes: http://www.springer.com/series/7651
High-Throughput Metabolomics Methods and Protocols
Edited by
Angelo D’Alessandro Department of Biochemistry and Molecular Genetics, University of Colorado Denver, Aurora, CO, USA
Editor Angelo D’Alessandro Department of Biochemistry and Molecular Genetics University of Colorado Denver Aurora, CO, USA
ISSN 1064-3745 ISSN 1940-6029 (electronic) Methods in Molecular Biology ISBN 978-1-4939-9235-5 ISBN 978-1-4939-9236-2 (eBook) https://doi.org/10.1007/978-1-4939-9236-2 © Springer Science+Business Media, LLC, part of Springer Nature 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Humana imprint is published by the registered company Springer Science+Business Media, LLC, part of Springer Nature. The registered company address is: 233 Spring Street, New York, NY 10013, U.S.A.
Preface High-Throughput Metabolomics: So Much to Discover, So Little Time… Dum loquimur fugerit invida aetas… (Horace, Odes 1, 11, 8)
The post-genomic era and the bioinformatic revolution that accompanied it fostered new strides in the fields of metabolomics and lipidomics. These “omics” approaches are often referred to—rightfully so—as the “closest to the phenotype” and perceived by the scientific community as novel, especially in comparison to genomics, transcriptomics, and proteomics. Despite the aggressive and largely successful efforts to rebrand this discipline, metabolomics—defined as the comprehensive analysis of small molecule metabolites—is perhaps the oldest analytical tool mankind managed to harness. History is full of records describing symptoms
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