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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
Attention for Chapter 11: Comparative Metabolic Network Flux Analysis to Identify Differences in Cellular Metabolism
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Chapter title
Comparative Metabolic Network Flux Analysis to Identify Differences in Cellular Metabolism
Chapter number 11
Book title
Metabolic Flux Analysis in Eukaryotic Cells
Published in
Methods in molecular biology, January 2020
DOI 10.1007/978-1-0716-0159-4_11
Pubmed ID
Book ISBNs
978-1-07-160158-7, 978-1-07-160159-4
Authors

Sarah McGarrity, Sigurður T. Karvelsson, Ólafur E. Sigurjónsson, Óttar Rolfsson, McGarrity, Sarah, Karvelsson, Sigurður T., Sigurjónsson, Ólafur E., Rolfsson, Óttar

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Doctoral Student 2 15%
Professor > Associate Professor 2 15%
Researcher 2 15%
Professor 1 8%
Other 2 15%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Computer Science 2 15%
Agricultural and Biological Sciences 2 15%
Environmental Science 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Other 2 15%
Unknown 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 December 2020.
All research outputs
#20,597,497
of 23,184,056 outputs
Outputs from Methods in molecular biology
#10,049
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Outputs of similar age
#381,883
of 457,187 outputs
Outputs of similar age from Methods in molecular biology
#94
of 120 outputs
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So far Altmetric has tracked 13,295 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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