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Toward characterization of protein-metabolite interactomes, we recently introduced PROMIS, a co-fractionation-based mass spectrometry approach. However, the challenge lies in distinguishing true interactors from coincidental co-elution when a metabolite co-fractionates with numerous proteins. To address this, we integrated two chromatographic techniques-size exclusion and ion exchange-to enhance the mapping of protein-metabolite interactions (PMIs) in . This integration aims to refine the PMI network by considering size and charge characteristics, resulting in 994 interactions involving 51 metabolites and 465 proteins. The PMI network is enriched for known and predicted interactions, providing validation. Furthermore, analyzing protein targets for different metabolites revealed functional insights, such as a connection between proteinogenic dipeptides and fatty acid biosynthesis. Notably, we uncovered an inhibitory interaction between the riboflavin degradation product lumichrome and orotate phosphoribosyltransferase, a key enzyme in pyrimidine synthesis affecting biofilm formation. In summary, our integrated chromatographic approach significantly advances PMI mapping.
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http://dx.doi.org/10.1016/j.isci.2025.112611 | DOI Listing |
Toward characterization of protein-metabolite interactomes, we recently introduced PROMIS, a co-fractionation-based mass spectrometry approach. However, the challenge lies in distinguishing true interactors from coincidental co-elution when a metabolite co-fractionates with numerous proteins. To address this, we integrated two chromatographic techniques-size exclusion and ion exchange-to enhance the mapping of protein-metabolite interactions (PMIs) in .
View Article and Find Full Text PDFDiscov Oncol
May 2025
Department of Clinical Laboratory, Sir Run Run Shaw Hospital of Zhejiang University School of Medicine, Hangzhou, 310016, Zhejiang, China.
Background: Metabolic dysregulation was closely associated with cancers. However, there is a lack of studies to explore the relationship between blood metabolites, related proteins, and different types of cancer.
Methods: Two-sample Mendelian randomization (MR) analysis was used to assess the causal effects of genetically determined metabolites and metabolite ratios on solid cancers.
Nat Genet
March 2025
British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
The biological mechanisms through which most nonprotein-coding genetic variants affect disease risk are unknown. To investigate gene-regulatory mechanisms, we mapped blood gene expression and splicing quantitative trait loci (QTLs) through bulk RNA sequencing in 4,732 participants and integrated protein, metabolite and lipid data from the same individuals. We identified cis-QTLs for the expression of 17,233 genes and 29,514 splicing events (in 6,853 genes).
View Article and Find Full Text PDFCell
March 2025
Program in Bioinformatics, Boston University, Boston, MA 02215, USA; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; Center for Network Systems Biology, Boston University, Boston, MA 02218, USA; Department of Chemistry, Boston University, Boston, MA 02215, USA;
Knowledge of protein-metabolite interactions can enhance mechanistic understanding and chemical probing of biochemical processes, but the discovery of endogenous ligands remains challenging. Here, we combined rapid affinity purification with precision mass spectrometry and high-resolution molecular docking to precisely map the physical associations of 296 chemically diverse small-molecule metabolite ligands with 69 distinct essential enzymes and 45 transcription factors in the gram-negative bacterium Escherichia coli. We then conducted systematic metabolic pathway integration, pan-microbial evolutionary projections, and independent in-depth biophysical characterization experiments to define the functional significance of ligand interfaces.
View Article and Find Full Text PDFMol Cell Proteomics
January 2025
State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Key Laboratory of Crop Germplasm Resources Preservation and Utilization, Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences, Guangzhou, China. Electronic address: