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Metabolic Analysis Using Stable Isotopes

  • 1st Edition, Volume 561 - September 8, 2015
  • Latest edition
  • Editor: Christian Metallo
  • Language: English

Metabolic Analysis Using Stable Isotopes, the newest volume in Methods in Enzymology continues the legacy of this premier serial with quality chapters authored by leaders in the f… Read more

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Description

Metabolic Analysis Using Stable Isotopes

, the newest volume in Methods in Enzymology continues the legacy of this premier serial with quality chapters authored by leaders in the field. This volume covers research methods in metabolic analysis using stable isotopes.

Key features

  • Continues the legacy of this premier serial with quality chapters on metabolic analysis using stable isotopes
  • Represents the newest volume in Methods in Enzymology, providing a premier serial with quality chapters authored by leaders in the field
  • Ideal reference for those interested in the study of metabolism, metabolic tracing, isotopic labeling, and lipogenesis

Readership

Biochemists, biophysicists, molecular biologists, analytical chemists, and physiologists.

Table of contents

  • Dedication
  • Preface
  • Chapter One: Studies of Metabolism Using 13C MRS of Hyperpolarized Probes
    • Abstract
    • 1 Introduction
    • 2 13C MRS of DNP Probes: Current Approaches to Studying Metabolism
    • 3 Requirements of 13C DNP Probes
    • 4 Conducting Hyperpolarized Experiments
    • 5 Acquisition Strategies for Hyperpolarized MR Spectroscopy and Imaging
    • 6 Analysis of Hyperpolarized MR Data
    • 7 Summary and Conclusion
  • Chapter Two: Hyperpolarized 13C Magnetic Resonance and Its Use in Metabolic Assessment of Cultured Cells and Perfused Organs
    • Abstract
    • 1 Introduction: Importance of Developing Methods to Observe Metabolic Flux in Disease States
    • 2 Hyperpolarization Methods and Sample Preparation
    • 3 Dynamic Assessment of Metabolism in Cells
    • 4 Dynamic Assessment of Metabolism in Perfused Organs
    • 5 Challenges and Future Directions
    • 6 Conclusion
    • Acknowledgments
  • Chapter Three: Metabolic Tracing Using Stable Isotope-Labeled Substrates and Mass Spectrometry in the Perfused Mouse Heart
    • Abstract
    • 1 Introduction
    • 2 Study Model: Mouse Heart Perfusion Ex Vivo in the Working Mode with Semi-Recirculating Buffer
    • 3 Metabolic Flux Measurements in the Perfused Mouse Heart Using 13C-Labeled Substrates and Gas Chromatography-Mass Spectrometry
    • 4 Practical Considerations and Future Challenges
    • Acknowledgments
  • Chapter Four: Probing Metabolism in the Intact Retina Using Stable Isotope Tracers
    • Abstract
    • 1 Introduction
    • 2 Methods
    • 3 Applications
    • 4 Summary
    • Acknowledgments
  • Chapter Five: Analysis of Cell Metabolism Using LC-MS and Isotope Tracers
    • Abstract
    • 1 Introduction
    • 2 Methods for Sample Extraction
    • 3 LC-MS Methods
    • 4 LC-MS Data Analysis
    • 5 Use of Stable Isotope Tracers
    • 6 Normalization
    • 7 Quantification of Metabolites in Cells and Medium
    • 8 Stable Isotope Tracing with Fumarate Hydratase-Deficient Cell Model
    • 9 Future
  • Chapter Six: Analysis of Fatty Acid Metabolism Using Stable Isotope Tracers and Mass Spectrometry
    • Abstract
    • 1 Introduction
    • 2 Labeling and Extraction of Fatty Acids in Cultured Cells
    • 3 Mass Spectrometry Analysis of Fatty Acid Labeling
    • 4 Fatty Acid-Labeling Data Analysis and Interpretation
    • 5 Summary and Perspective
  • Chapter Seven: Dynamic Proteomics: In Vivo Proteome-Wide Measurement of Protein Kinetics Using Metabolic Labeling
    • Abstract
    • 1 Introduction
    • 2 Fundamentals: Stable Isotope-Labeling Approaches for Measuring Protein Synthesis and Other Polymerization Biosynthesis Rates
    • 3 Application of Combinatorial Analysis (MIDA) Approaches to Protein Dynamics
    • 4 Sample Processing
    • 5 Analytical Methods
    • 6 Future Directions
    • Acknowledgments
  • Chapter Eight: Non-targeted Tracer Fate Detection
    • Abstract
    • 1 Introduction
    • 2 Theoretical Background
    • 3 Practical Considerations
    • 4 NTFD Applications
    • 5 Summary and Outlook
    • Acknowledgment
  • Chapter Nine: Isotopomer Spectral Analysis: Utilizing Nonlinear Models in Isotopic Flux Studies
    • Abstract
    • 1 Introduction
    • 2 Comparing Radioisotopes and Stable Isotopes
    • 3 ISA Methodology
    • 4 Linear Versus Nonlinear Models
    • 5 Estimating ISA Parameter Values Using Nonlinear Regression
    • 6 Examples of ISA Models
    • 7 Concluding Thoughts
  • Chapter Ten: Effect of Error Propagation in Stable Isotope Tracer Studies: An Approach for Estimating Impact on Apparent Biochemical Flux
    • Abstract
    • 1 Introduction
    • 2 Analytical: Instrument Settings and Data Acquisition
    • 3 Simulations of Lipid Flux
    • 4 Simulations of Protein Flux
    • 5 Summary and Conclusions
  • Author Index
  • Subject Index

Review quotes

Praise for the Series:
"Should be on the shelves of all libraries in the world as a whole collection."—Chemistry in Industry
"The work most often consulted in the lab." —Enzymologia
"The Methods in Enzymology series represents the gold-standard."—Neuroscience

Product details

  • Edition: 1
  • Latest edition
  • Volume: 561
  • Published: September 21, 2015
  • Language: English

About the editor

CM

Christian Metallo

Affiliations and expertise
Jacobs School of Engineering, University of California San Diego, CA, USA

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