ArticleGenome biology2023
Multi-omics analysis identifies drivers of protein phosphorylation.
Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
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- Genetic architecture of the murine red blood cell proteome reveals central role of hemoglobin beta cysteine 93 in maintaining redox balance.Cell genomics · 2026Article
- Advanced (Nano)material-Based Enrichment Strategies for Quantitative Phosphoproteomics Analysis by Mass Spectrometry.Advances in experimental medicine and biology · 2026Review
- Integrated single-cell multi-omics profiling reveals a senescence-associated hematopoietic landscape and regulatory network in aging bone marrow.Biogerontology · 2025Article
- CD24 is a promising immunotherapeutic target for enhancing efficacy of third-generation EGFR-TKIs on EGFR-mutated lung cancer.Cancer communications (London, England) · 2025Article
- Integrated multi-dimensional comparison of proteomic profiles across 54 cancer cell lines.iScience · 2025Article
- Expanding the landscape of aging via orbitrap astral mass spectrometry and tandem mass tag integration.Nature communications · 2025Article
- Phosphoproteomics analyses ofHeliyon · 2024Article
- Current status and trend of mitochondrial research in lung cancer: A bibliometric and visualization analysis.Heliyon · 2024Article
- Article
- Multi-omics analysis identifies drivers of protein phosphorylation.Genome biology · 2023Article
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundPhosphorylation of proteins is a key step in the regulation of many cellular processes including activation of enzymes and signaling cascades. The abundance of a phosphorylated peptide (phosphopeptide) is determined by the abundance of its parent protein and the proportion of target sites that are phosphorylated.
resultsWe quantified phosphopeptides, proteins, and transcripts in heart, liver, and kidney tissue samples of mice from 58 strains of the Collaborative Cross strain panel. We mapped ~700 phosphorylation quantitative trait loci (phQTL) across the three tissues and applied genetic mediation analysis to identify causal drivers of phosphorylation. We identified kinases, phosphatases, cytokines, and other factors, including both known and potentially novel interactions between target proteins and genes that regulate site-specific phosphorylation. Our analysis highlights multiple targets of pyruvate dehydrogenase kinase 1 (PDK1), a regulator of mitochondrial function that shows reduced activity in the NZO/HILtJ mouse, a polygenic model of obesity and type 2 diabetes.
conclusionsTogether, this integrative multi-omics analysis in genetically diverse CC strains provides a powerful tool to identify regulators of protein phosphorylation. The data generated in this study provides a resource for further exploration.
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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 Socratic graph.