Ribosomal protein L23ab is specifically dimethylated at two distinct sites by the SET domain-containing enzyme Rkm1 in the yeast Saccharomyces cerevisiae. Using liquid column chromatography with electrospray-ionization mass spectrometry, we determined that Rpl23ab purified from the Deltarkm1 deletion strain demonstrated a loss in mass of approximately 56 Da when compared with Rpl23ab purified from the wild type strain. When Rpl23ab was proteolyzed, using proteinase ArgC or CNBr, and the peptides derived were analyzed by tandem mass spectrometry, no sites of methylation were found in Rpl23ab purified from the Deltarkm1 deletion strain, whereas two sites of dimethylation were observed in the wild type strain at lysine residues 105 and 109. We show that both Rpl23a and Rpl23b are expressed and methylated in vivo in yeast. Using polysomal fractionation, we demonstrate that the deletion of RKM1 has no effect on ribosomal complex formation. Comparison of SET domain methyltransferase substrates in yeast reveal sequence similarities around the lysine methylation sites and suggest that an (Asn/Pro)-Pro-Lys consensus sequence may be a target for methylation by subfamily 2 SET domain methyltransferases. Finally, we show the presence of Rkm1 homologs in fungi, plants, and mammals including humans.
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http://dx.doi.org/10.1074/jbc.M611896200 | DOI Listing |
J Health Organ Manag
January 2025
Amrita School of Business - Amritapuri Kollam Campus, Kollam, India.
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Design/methodology/approach: The study leverages the renowned Carter's 7 C model as a foundational framework for supplier assessment, supplemented by insights gathered from interviews with experts in the New Product Introduction, Purchasing and Procurement departments of a leading hospital in India.
Eur J Nucl Med Mol Imaging
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View Article and Find Full Text PDFISA Trans
January 2025
State Key Laboratory of Computer-Aided Design and Computer Graphics, Zhejiang University, Hangzhou, 310027, China; Key Laboratory of Intelligent Rescue Equipment for Collapse Accidents, Ministry of Emergency Management, Hangzhou, 310030, China; Zhejiang Laboratory, Hangzhou, 311121, China. Electronic address:
Existing cross-domain mechanical fault diagnosis methods primarily achieve feature alignment by directly optimizing interdomain and category distances. However, this approach can be computationally expensive in multi-target scenarios or fail due to conflicting objectives, leading to decreased diagnostic performance. To avoid these issues, this paper introduces a novel method called domain feature disentanglement.
View Article and Find Full Text PDFTrends Neurosci
January 2025
Hefei National Laboratory for Physical Sciences at the Microscale, Department of Neurology in the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, China; Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China. Electronic address:
The precise organization of the complex set of synaptic proteins at the nanometer scale is crucial for synaptic transmission. At the heart of this nanoscale architecture lies the nanocolumn. This aligns presynaptic neurotransmitter release with a high local density of postsynaptic receptor channels, thereby optimizing synaptic strength.
View Article and Find Full Text PDFComput Biol Med
January 2025
Hamburg University of Technology, Hamburg, Germany.
The application of supervised models to clinical screening tasks is challenging due to the need for annotated data for each considered pathology. Unsupervised Anomaly Detection (UAD) is an alternative approach that aims to identify any anomaly as an outlier from a healthy training distribution. A prevalent strategy for UAD in brain MRI involves using generative models to learn the reconstruction of healthy brain anatomy for a given input image.
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