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Protein lysine methylation mediates a variety of biological processes, and their dysregulation has been established to play pivotal roles in human disease. A number of these sites constitute attractive drug targets. However, systematic identification of methylation sites is challenging and resource intensive. Here, we present a protocol combining MethylSight, a machine learning model trained to identify promising lysine methylation sites, and mass spectrometry for subsequent validation. Our approach can reduce the time and investment required to identify novel methylation sites. For complete information on the use and execution of this protocol, please refer to Biggar et al. (2020).
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http://dx.doi.org/10.1016/j.xpro.2020.100135 | DOI Listing |
Nucleic Acids Res
September 2025
Biomolecular Sciences Institute, Florida International University, Miami, FL 33199, United States.
Supercoiled (Sc) circular DNA, such as plasmids, are essential in molecular biology and hold strong therapeutic potential. However, they are typically produced in Escherichia coli, resulting in bacterial methylations, unnecessary sequences, and contaminants that hinder certain applications including clinical uses. These limitations could be avoided by synthesizing plasmids entirely in vitro, but synthesizing high-purity Sc circular DNA biochemically remains a significant technical challenge.
View Article and Find Full Text PDFMol Cell Proteomics
September 2025
Systems Biology Initiative, School of Biotechnology & Biomolecular Sciences, UNSW Sydney, Australia; ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems, UNSW Sydney, Australia. Electronic address:
Phosphorylation of histone lysine demethylases is an important mechanism by which the cell modulates chromatin dynamics to regulate its response to stress. There is evidence that the Saccharomyces cerevisiae H3K36me2/3 demethylase, Rph1p, is an integrator of many signalling events. However, the regulatory function of most Rph1p phosphosites in stress response pathways remains unknown.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
College of Materials Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. Electronic address:
Lignin, a negatively charged, three-dimensional natural biopolymer, serves as an ideal support for metal catalysts due to its abundant functional groups and tunable chemical properties, which enable strong metal coordination and effective immobilization. Herein, we demonstrate a lignin-mediated Co/O co-doped AgS, symbolized as L-AgCoOS, bimetal oxysulfide catalyst via a facile hydrolysis method for the efficient reduction of toxic phenolic compounds (4-nitrophenol, 4-NP), organic dyes (methyl orange (MO), methylene blue (MB), rhodamine B (RhB), and heavy metal ions Cr(VI)) under dark conditions. Lignin, used to immobilize catalysts, also contributes to increasing the number of active catalytic sites and enhancing catalytic activity.
View Article and Find Full Text PDFEur J Med Chem
September 2025
Shanghai Frontiers Science Center of Drug Target Identification and Delivery, National Key Laboratory of Innovative Immunotherapy, School of Pharmaceutical Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China; State Key Laboratory of Innovative Immunotherapy, Central Research Institute,
Overexpression of protein lysine methyltransferase G9a, which catalyzes mono- and di-methylation of histone H3K9 and non-histone proteins, is closely associated with poor prognosis and metastasis of various cancers. Here, we designed and synthesized a series of novel G9a inhibitors bearing 2-tetrahydroisoquinoline substituted quinazoline scaffold. Among them, compound 31 with 2-dioxole fused tetrahydroisoquinoline exhibited the most potent inhibitory effects against G9a with an IC value of 0.
View Article and Find Full Text PDFEpigenomics
September 2025
College of Physical Education, Yangzhou University, Yangzhou, China.
Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder lacking objective biomarkers for early diagnosis. DNA methylation is a promising epigenetic marker, and machine learning offers a data-driven classification approach. However, few studies have examined whole-blood, genome-wide DNA methylation profiles for ASD diagnosis in school-aged children.
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