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Metabolic Flux Analysis in Eukaryotic Cells

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Cover of 'Metabolic Flux Analysis in Eukaryotic Cells'

Table of Contents

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    Book Overview
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    Chapter 1 Determination of Isotopologue and Tandem Mass Isotopologue Ratios Using Gas Chromatography Chemical Ionization Time of Flight Mass Spectrometry - Methodology and Uncertainty of Measurement
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    Chapter 2 Non-Targeted Mass Isotopolome Analysis Using Stable Isotope Patterns to Identify Metabolic Changes
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    Chapter 3 Liquid Chromatography Methods for Separation of Polar and Charged Intracellular Metabolites for 13C Metabolic Flux Analysis
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    Chapter 4 Deuterium Tracing to Interrogate Compartment-Specific NAD(P)H Metabolism in Cultured Mammalian Cells
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    Chapter 5 Large-Scale Profiling of Cellular Metabolic Activities Using Deep 13C Labeling Medium
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    Chapter 6 Analyzing the Metabolism of Metastases in Mice
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    Chapter 7 Robust Analytical Methods for the Accurate Quantification of the Total Biomass Composition of Mammalian Cells
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    Chapter 8 Quantifying Nitric Oxide Flux Distributions
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    Chapter 9 SWATH: A Data-Independent Tandem Mass Spectrometry Method to Quantify 13C Enrichment in Cellular Metabolites and Fragments
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    Chapter 10 Quantifying Metabolic Transfer Mediated by Extracellular Vesicles Using Exo-MFA: An Integrated Empirical and Computational Platform
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    Chapter 11 Comparative Metabolic Network Flux Analysis to Identify Differences in Cellular Metabolism
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    Chapter 12 Software Supporting a Workflow of Quantitative Dynamic Flux Maps Estimation in Central Metabolism from SIRM Experimental Data
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    Chapter 13 Inferring Metabolic Flux from Time-Course Metabolomics
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    Chapter 14 Metabolic Network Reconstructions to Predict Drug Targets and Off-Target Effects
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    Chapter 15 Single-cell Digital Twins for Cancer Preclinical Investigation
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    Chapter 16 Supply and Demand Analysis of Autophagy
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    Chapter 17 Thermodynamic Approaches in Flux Analysis
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Metabolic Flux Analysis in Eukaryotic Cells
Published by
Springer US, January 2020
DOI 10.1007/978-1-0716-0159-4
978-1-07-160158-7, 978-1-07-160159-4

Deepak Nagrath

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Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Student > Ph. D. Student 2 40%
Readers by discipline Count As %
Computer Science 1 20%
Agricultural and Biological Sciences 1 20%
Chemistry 1 20%
Engineering 1 20%
Unknown 1 20%