ArticleCell reports methods2022
Motif-centric phosphoproteomics to target kinase-mediated signaling pathways.
Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 19 citations in OpenAlex.
- Uncovering the signaling networks of disseminated glioblastoma cells in vivo with INSIGHT.Nature communications · 2026Article
- Detecting protein higher-order structural changes using kinase as a phospho-labeler.Cell reports methods · 2026Article
- Covalent inhibition ofiScience · 2025Article
- Advancements in Global Phosphoproteomics Profiling: Overcoming Challenges in Sensitivity and Quantification.Proteomics · 2025Review
- The fitness cost of spurious phosphorylation.The EMBO journal · 2024Article
- Phosphorylation of the compartmentalized PKA substrate TAF15 regulates RNA-protein interactions.Cellular and molecular life sciences : CMLS · 2024Article
- The fitness cost of spurious phosphorylation.bioRxiv : the preprint server for biology · 2023Article
- Article
- Motif-Targeting Phosphoproteome Analysis of Cancer Cells for Profiling Kinase Inhibitors.Cancers · 2022Article
- Co-expression network analysis of human tau-transgenic mice reveals protein modules associated with tau-induced pathologies.iScience · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying cellular phosphorylation pathways based on kinase-substrate relationships is a critical step to understanding the regulation of physiological functions in cells. Mass spectrometry-based phosphoproteomics workflows have made it possible to comprehensively collect information on individual phosphorylation sites in a variety of samples. However, there is still no generic approach to uncover phosphorylation networks based on kinase-substrate relationships in rare cell populations. Here, we describe a motif-centric phosphoproteomics approach combined with multiplexed isobaric labeling, in which
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