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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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Title
Metabolic Flux Analysis in Eukaryotic Cells
Published by
Springer US, January 2020
DOI 10.1007/978-1-0716-0159-4
ISBNs
978-1-07-160158-7, 978-1-07-160159-4
Editors

Deepak Nagrath

Twitter Demographics

The data shown below were collected from the profiles of 19 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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%