Metabolic Flux Analysis in Eukaryotic Cells [E-Book] : Methods and Protocols / edited by Deepak Nagrath.
This volume explores the latest metabolic flux analysis (MFA) techniques that cover the analysis of cellular, organ level, and whole-body metabolism. The chapters in this book discuss topics such as deutrium tracing; isotopologue fractions using GC-TOF; non-targeted mass isotopolome analysis; large-...
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Personal Name(s): | Nagrath, Deepak, editor |
Edition: |
1st edition 2020. |
Imprint: |
New York, NY :
Humana Press,
2020
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Physical Description: |
XIII, 370 pages 87 illustrations, 64 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9781071601594 |
DOI: |
10.1007/978-1-0716-0159-4 |
Series Title: |
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Methods in Molecular Biology ;
2088 |
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Classification: |
- Determination of Isotopologue and Tandem Mass Isotopologue Fractions using Gas Chromatography Chemical Ionization Time of Flight Mass Spectrometry: Methodology and Uncertainty of Measurement
- Non-Targeted Mass Isotopolome Analysis using Stable Isotope Patterns to Identify Metabolic Changes
- Liquid Chromatography Methods for Separation of Polar and Charged Intracellular Metabolites for 13C Meabolic Flux Analysis
- Deuterium Tracing to Interrogate Compartment-Specific NAD(p)H Metabolism in Cultured Mammalian Cells
- Large-Scale Profiling of Cellular Metabolic Activities using Deep 13C Labeling Medium
- Analyzing the Metabolism of Metastases in Mice
- Robusy Analytical methods for the Accurate Quantification of the Total Biomass Composition of Mammalian Cells
- Quantifying Nitric Oxide Flux Distributions
- SWATH: A Data-Independent Tandem Mass Spectrometry Method to Quantify 13C Enrichment in Cellular Metabolites and Fragments
- Quantifying Metabolic Transfer Mediated by Extracellular Vesicles using Exo-MFA: An Integrated Empirical and COmputational Platform
- Comparative Metabolic Network Flux Analysis to Identify Differences in Cellular Metabolism
- Software Supporting a Workflow of Quantitative Dynamic Flux Maps Estimation in Central Metabolism from SIRM Experimental Data
- Inferring Metabolic Flux from Time-Course Metabolomics
- Using Metabolic Network Reconstructions to Predict Drug Targets and Off-Target Effects
- Single-Cell Digital Twins for Cancer Preclinical Investigation
- Supply and Demand Analysis of Autophagy
- Thermodynamic Approaches in Flux Analysis.