Timepoint Selection Strategy for in Vivo Proteome Dynamics from Heavy Water Metabolic Labeling and LC-MS

Keyphrases

• Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS) 100%
• Proteome Dynamics 100%
• Selection Strategy 100%
• Heavy Water Metabolic Labeling 100%
• Root Mean Square Error 66%
• Cell Function 33%
• Proteomics 33%
• Mass Spectrometry 33%
• Murine Heart 33%
• High-throughput Methods 33%
• Dysregulated 33%
• Relative Abundance 33%
• Stable Isotopes 33%
• Liquid Chromatography 33%
• Heavy Water 33%
• Metabolic Labeling 33%
• Proteostasis 33%
• Probability Density Function 33%
• Protein Homeostasis 33%
• Measurement Error 33%
• Animal Care 33%
• Large-scale Dataset 33%
• Empirical Probability 33%
• Lognormal 33%
• Peptide Length 33%
• Stochastic Simulation 33%
• Gamma Regression 33%
• Healthy Cells 33%
• Simulation Strategy 33%
• Laplace 33%
• Animal Housing 33%
• Beta Regression 33%
• Heart Proteome 33%
• Dynamic Estimation 33%
• Exchangeable Hydrogen 33%
• Monoisotopic Peaks 33%

Biochemistry, Genetics and Molecular Biology

• Dynamics 100%
• Proteome 100%
• Liquid Chromatography-Mass Spectrometry 100%
• Metabolic Water 100%
• Protein Homeostasis 50%
• Mass Spectrometry 25%
• In Vivo Study 25%
• Proteomics 25%