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Title: Targeted Quantification of Protein Phosphorylation and Its Contributions towards Mathematical Modeling of Signaling Pathways

Abstract

Post-translational modifications (PTMs) are key regulatory mechanisms that can control protein function. Of these, phosphorylation is the most common and widely studied. Because of its importance in regulating cell signaling, precise and accurate measurements of protein phosphorylation across wide dynamic ranges are crucial to understanding how signaling pathways function. Although immunological assays are commonly used to detect phosphoproteins, their lack of sensitivity, specificity, and selectivity often make them unreliable for quantitative measurements of complex biological samples. Recent advances in Mass Spectrometry (MS)-based targeted proteomics have made it a more useful approach than immunoassays for studying the dynamics of protein phosphorylation. Selected reaction monitoring (SRM)—also known as multiple reaction monitoring (MRM)—and parallel reaction monitoring (PRM) can quantify relative and absolute abundances of protein phosphorylation in multiplexed fashions targeting specific pathways. In addition, the refinement of these tools by enrichment and fractionation strategies has improved measurement of phosphorylation of low-abundance proteins. The quantitative data generated are particularly useful for building and parameterizing mathematical models of complex phospho-signaling pathways. Potentially, these models can provide a framework for linking analytical measurements of clinical samples to better diagnosis and treatment of disease.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE; National Institutes of Health (NIH)
OSTI Identifier:
1959008
Report Number(s):
PNNL-SA-179947
Journal ID: ISSN 1420-3049
Grant/Contract Number:  
AC05-76RL01830; U01 CA227544; U54 DA049116; U01 DK124020; P41 GM103493
Resource Type:
Accepted Manuscript
Journal Name:
Molecules
Additional Journal Information:
Journal Volume: 28; Journal Issue: 3; Journal ID: ISSN 1420-3049
Publisher:
MDPI
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; targeted phosphoproteomics; LC-SRM; quantification; phosphorylation; signaling; mathematical modeling; cancer

Citation Formats

Dakup, Panshak P., Feng, Song, Shi, Tujin, Jacobs, Jon M., Wiley, H. Steven, and Qian, Wei-Jun. Targeted Quantification of Protein Phosphorylation and Its Contributions towards Mathematical Modeling of Signaling Pathways. United States: N. p., 2023. Web. doi:10.3390/molecules28031143.
Dakup, Panshak P., Feng, Song, Shi, Tujin, Jacobs, Jon M., Wiley, H. Steven, & Qian, Wei-Jun. Targeted Quantification of Protein Phosphorylation and Its Contributions towards Mathematical Modeling of Signaling Pathways. United States. https://doi.org/10.3390/molecules28031143
Dakup, Panshak P., Feng, Song, Shi, Tujin, Jacobs, Jon M., Wiley, H. Steven, and Qian, Wei-Jun. Mon . "Targeted Quantification of Protein Phosphorylation and Its Contributions towards Mathematical Modeling of Signaling Pathways". United States. https://doi.org/10.3390/molecules28031143. https://www.osti.gov/servlets/purl/1959008.
@article{osti_1959008,
title = {Targeted Quantification of Protein Phosphorylation and Its Contributions towards Mathematical Modeling of Signaling Pathways},
author = {Dakup, Panshak P. and Feng, Song and Shi, Tujin and Jacobs, Jon M. and Wiley, H. Steven and Qian, Wei-Jun},
abstractNote = {Post-translational modifications (PTMs) are key regulatory mechanisms that can control protein function. Of these, phosphorylation is the most common and widely studied. Because of its importance in regulating cell signaling, precise and accurate measurements of protein phosphorylation across wide dynamic ranges are crucial to understanding how signaling pathways function. Although immunological assays are commonly used to detect phosphoproteins, their lack of sensitivity, specificity, and selectivity often make them unreliable for quantitative measurements of complex biological samples. Recent advances in Mass Spectrometry (MS)-based targeted proteomics have made it a more useful approach than immunoassays for studying the dynamics of protein phosphorylation. Selected reaction monitoring (SRM)—also known as multiple reaction monitoring (MRM)—and parallel reaction monitoring (PRM) can quantify relative and absolute abundances of protein phosphorylation in multiplexed fashions targeting specific pathways. In addition, the refinement of these tools by enrichment and fractionation strategies has improved measurement of phosphorylation of low-abundance proteins. The quantitative data generated are particularly useful for building and parameterizing mathematical models of complex phospho-signaling pathways. Potentially, these models can provide a framework for linking analytical measurements of clinical samples to better diagnosis and treatment of disease.},
doi = {10.3390/molecules28031143},
journal = {Molecules},
number = 3,
volume = 28,
place = {United States},
year = {Mon Jan 23 00:00:00 EST 2023},
month = {Mon Jan 23 00:00:00 EST 2023}
}

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Protein phosphorylation in signaling – 50 years and counting
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Reversed-Phase-Reversed-Phase Liquid Chromatography Approach with High Orthogonality for Multidimensional Separation of Phosphopeptides
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Evaluation of the impact of some experimental procedures on different phosphopeptide enrichment techniques
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Quantitative Phosphoproteomics Reveals Widespread Full Phosphorylation Site Occupancy During Mitosis
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DYNAMO: A Phase II Study of Duvelisib (IPI-145) in Patients With Refractory Indolent Non-Hodgkin Lymphoma
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Extended Coverage of Singly and Multiply Phosphorylated Peptides from a Single Titanium Dioxide Microcolumn
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Reproducible isolation of distinct, overlapping segments of the phosphoproteome
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Highly accurate protein structure prediction with AlphaFold
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The absolute quantification strategy: a general procedure for the quantification of proteins and post-translational modifications
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Challenges and strategies for targeted phosphorylation site identification and quantification using mass spectrometry analysis
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Zirconium Phosphonate-Modified Porous Silicon for Highly Specific Capture of Phosphopeptides and MALDI-TOF MS Analysis
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Global absolute quantification of a proteome: Challenges in the deployment of a QconCAT strategy
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DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput
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A quantitative atlas of mitotic phosphorylation
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EGF receptor signaling, phosphorylation, ubiquitylation and endocytosis in tumors in vivo
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Phosphoproteome analysis by mass spectrometry and its application to Saccharomyces cerevisiae
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Signal integration at the level of protein kinases, protein phosphatases and their substrates
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Phosphorylation Analysis of Primary Human T Lymphocytes Using Sequential IMAC and Titanium Oxide Enrichment
journal, November 2008

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Assessment of SRM, MRM 3 , and DIA for the targeted analysis of phosphorylation dynamics in non-small cell lung cancer
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Dynamic Phosphorylation of Apoptosis Signal Regulating Kinase 1 (ASK1) in Response to Oxidative and Electrophilic Stress
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Combination of Multistep IMAC Enrichment with High-pH Reverse Phase Separation for In-Depth Phosphoproteomic Profiling
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Targeted Quantification of Phosphorylation Dynamics in the Context of EGFR-MAPK Pathway
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Recommendations for the Generation, Quantification, Storage, and Handling of Peptides Used for Mass Spectrometry–Based Assays
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Enrichment techniques employed in phosphoproteomics
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The current state of the art of quantitative phosphoproteomics and its applications to diabetes research
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Internal coarse-graining of molecular systems
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Models from experiments: combinatorial drug perturbations of cancer cells
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Data‐independent acquisition‐based SWATHMS for quantitative proteomics: a tutorial
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Phosphorylation of different tau sites during progression of Alzheimer’s disease
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Simulation of large-scale rule-based models
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Correct Interpretation of Comprehensive Phosphorylation Dynamics Requires Normalization by Protein Expression Changes
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Discovering governing equations from data by sparse identification of nonlinear dynamical systems
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Ultradeep Human Phosphoproteome Reveals a Distinct Regulatory Nature of Tyr and Ser/Thr-Based Signaling
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What is Normalization? The Strategies Employed in Top-Down and Bottom-Up Proteome Analysis Workflows
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Causal interactions from proteomic profiles: Molecular data meet pathway knowledge
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Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer
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Proteomic analysis of phosphorylation in cancer
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Quantitative Phosphoproteomics Applied to the Yeast Pheromone Signaling Pathway
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Quantitative mouse brain proteomics using culture-derived isotope tags as internal standards
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Decision-Tree Based Model Analysis for Efficient Identification of Parameter Relations Leading to Different Signaling States
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Temporal analysis of phosphotyrosine-dependent signaling networks by quantitative proteomics
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Conservation of protein abundance patterns reveals the regulatory architecture of the EGFR-MAPK pathway
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Large-Scale Targeted Proteomics Using Internal Standard Triggered-Parallel Reaction Monitoring (IS-PRM)
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SH2 domains, interaction modules and cellular wiring
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Global Survey of Phosphotyrosine Signaling Identifies Oncogenic Kinases in Lung Cancer
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The Chemical Biology of Protein Phosphorylation
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Sensitive Targeted Quantification of ERK Phosphorylation Dynamics and Stoichiometry in Human Cells without Affinity Enrichment
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Signal Transduction Reaction Monitoring Deciphers Site-Specific PI3K-mTOR/MAPK Pathway Dynamics in Oncogene-Induced Senescence
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Reduced-representation Phosphosignatures Measured by Quantitative Targeted MS Capture Cellular States and Enable Large-scale Comparison of Drug-induced Phenotypes
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Targeted mass spectrometry: An emerging powerful approach to unblock the bottleneck in phosphoproteomics
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