ReviewFrontiers in genetics2014
Toward a systems-level view of dynamic phosphorylation networks.
Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- NEK Family Kinases: Structure, Function, and Role in Disease.Biomolecules · 2025Review
- A Review of Machine Learning and Algorithmic Methods for Protein Phosphorylation Site Prediction.Genomics, proteomics & bioinformatics · 2023Review
- Hydrogen peroxide-dependent oxidation of ERK2 within its D-recruitment site alters its substrate selection.iScience · 2023Article
- The alphavirus nonstructural protein 2 NTPase induces a host translational shut-off through phosphorylation of eEF2 via cAMP-PKA-eEF2K signaling.PLoS pathogens · 2023Article
- Inferring signaling pathways with probabilistic programming.Bioinformatics (Oxford, England) · 2020Article
- Phosphoproteomics Meets Chemical Genetics: Approaches for Global Mapping and Deciphering the Phosphoproteome.International journal of molecular sciences · 2020Review
- Illuminating the kinome: Visualizing real-time kinase activity in biological systems using genetically encoded fluorescent protein-based biosensors.Current opinion in chemical biology · 2020Review
- Channelrhodopsin-1 Phosphorylation Changes with Phototactic Behavior and Responds to Physiological Stimuli inThe Plant cell · 2019Article
- Genetically Encoded Fluorescent Biosensors Illuminate the Spatiotemporal Regulation of Signaling Networks.Chemical reviews · 2018Review
- Synthesizing Signaling Pathways from Temporal Phosphoproteomic Data.Cell reports · 2018Article
- rSNPBase 3.0: an updated database of SNP-related regulatory elements, element-gene pairs and SNP-based gene regulatory networks.Nucleic acids research · 2018Article
- Phosphoproteomics-Based Profiling of Kinase Activities in Cancer Cells.Methods in molecular biology (Clifton, N.J.) · 2018Article
- Improved Method for Determining Absolute Phosphorylation Stoichiometry Using Bayesian Statistics and Isobaric Labeling.Journal of proteome research · 2017Article
- Systems Biology to Support Nanomaterial Grouping.Advances in experimental medicine and biology · 2017Review
- Integrated Strategies to Gain a Systems-Level View of Dynamic Signaling Networks.Methods in enzymology · 2017Article
- RF-Hydroxysite: a random forest based predictor for hydroxylation sites.Molecular bioSystems · 2016Article
- Phosphoproteomics in the Age of Rapid and Deep Proteome Profiling.Analytical chemistry · 2016Review
- RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest.BioMed research international · 2016Article
- Predicting CK2 beta-dependent substrates using linear patterns.Biochemistry and biophysics reports · 2015Article
- A prismatic view of protein phosphorylation in health and disease.Frontiers in genetics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
To better understand how cells sense and respond to their environment, it is important to understand the organization and regulation of the phosphorylation networks that underlie most cellular signal transduction pathways. These networks, which are composed of protein kinases, protein phosphatases and their respective cellular targets, are highly dynamic. Importantly, to achieve signaling specificity, phosphorylation networks must be regulated at several levels, including at the level of protein expression, substrate recognition, and spatiotemporal modulation of enzymatic activity. Here, we briefly summarize some of the traditional methods used to study the phosphorylation status of cellular proteins before focusing our attention on several recent technological advances, such as protein microarrays, quantitative mass spectrometry, and genetically-targetable fluorescent biosensors, that are offering new insights into the organization and regulation of cellular phosphorylation networks. Together, these approaches promise to lead to a systems-level view of dynamic phosphorylation networks.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.