ReviewComputational and structural biotechnology journal2014
Integrating phosphoproteomics in systems biology.
Review in Computational and structural biotechnology journal, 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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, 41 citations in OpenAlex.
- Integrative phosphoproteomic analysis reveals co-regulatory phosphorylation networks of rhotekin in cancer progression.Discover oncology · 2026Article
- Review
- Structural and systems characterization of phosphorylation on metabolic enzymes identifies sex-specific metabolic reprogramming in obesity.Molecular cell · 2025Article
- Bioinformatics-Guided Identification and Quantification of Biomarkers of Crotalus atrox Envenoming and Its Neutralization by Antivenom.Molecular & cellular proteomics : MCP · 2025Article
- Functional characterization of co-phosphorylation networks.Bioinformatics (Oxford, England) · 2022Article
- Analysis of the phosphorylome of trichoderma reesei cultivated on sugarcane bagasse suggests post-translational regulation of the secreted glycosyl hydrolase Cel7A.Biotechnology reports (Amsterdam, Netherlands) · 2021Article
- Combining Mass Spectrometry-Based Phosphoproteomics with a Network-Based Approach to Reveal FLT3-Dependent Mechanisms of Chemoresistance.Proteomes · 2021Review
- Robust inference of kinase activity using functional networks.Nature communications · 2021Article
- Immunopharmacology and Quantitative Analysis of Tyrosine Kinase Signaling.Current protocols in immunology · 2020Article
- Plasma Proteome Profiling of Coronary Artery Disease Patients: Downregulation of Transthyretin-An Important Event.Mediators of inflammation · 2020Article
- Designing custom CRISPR libraries for hypothesis-driven drug target discovery.Computational and structural biotechnology journal · 2020Review
- Natural Compounds and Derivatives as Ser/Thr Protein Kinase Modulators and Inhibitors.Pharmaceuticals (Basel, Switzerland) · 2019Review
- The crucial role of protein phosphorylation in cell signaling and its use as targeted therapy (Review).International journal of molecular medicine · 2017Review
- Article
- Phosphoproteome Discovery in Human Biological Fluids.Proteomes · 2016Review
- Phosphoproteomics reveals ALK promote cell progress via RAS/ JNK pathway in neuroblastoma.Oncotarget · 2016Article
- Integrative Phosphoproteomics Links IL-23R Signaling with Metabolic Adaptation in Lymphocytes.Scientific reports · 2016Article
- Proteomics, biomarkers, and HIV-1: A current perspective.Proteomics. Clinical applications · 2016Review
- Single-residue posttranslational modification sites at the N-terminus, C-terminus or in-between: To be or not to be exposed for enzyme access.Proteomics · 2015Article
- Monitoring protein phosphorylation by acrylamide pendant Phos-Tag™ in various plants.Frontiers in plant science · 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
2 authors at 1 institution in 1 country.
Funding
Abstract
Phosphorylation of serine, threonine and tyrosine plays significant roles in cellular signal transduction and in modifying multiple protein functions. Phosphoproteins are coordinated and regulated by a network of kinases, phosphatases and phospho-binding proteins, which modify the phosphorylation states, recognize unique phosphopeptides, or target proteins for degradation. Detailed and complete information on the structure and dynamics of these networks is required to better understand fundamental mechanisms of cellular processes and diseases. High-throughput technologies have been developed to investigate phosphoproteomes in model organisms and human diseases. Among them, mass spectrometry (MS)-based technologies are the major platforms and have been widely applied, which has led to explosive growth of phosphoproteomic data in recent years. New bioinformatics tools are needed to analyze and make sense of these data. Moreover, most research has focused on individual phosphoproteins and kinases. To gain a more complete knowledge of cellular processes, systems biology approaches, including pathways and networks modeling, have to be applied to integrate all components of the phosphorylation machinery, including kinases, phosphatases, their substrates, and phospho-binding proteins. This review presents the latest developments of bioinformatics methods and attempts to apply systems biology to analyze phosphoproteomics data generated by MS-based technologies. Challenges and future directions in this field will be also discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.