Background:The Gid ubiquitin ligase of yeast is composed of seven subunits that contain several remarkable motifs. Results: Using a series of deletion mutants we performed co-immunoprecipitation studies to unravel the arrangement of the subunits. Conclusion: An initial model of the topology of the Gid complex is created. Significance: The model provides the basis to understand the functionality of the Gid complex.

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Bacterial HEMK2 homologs initially had been proposed to be involved in heme biogenesis or to function as adenine DNA methyltransferase. Later it was shown that this family of enzymes has protein glutamine methyltransferase activity, and they methylate the glutamine residue in the GGQ motif of ribosomal translation termination factors. The murine HEMK2 enzyme methylates Gln 185 of the eukaryotic translation termination factor eRF1. We have employed peptide array libraries to investigate the peptide sequence recognition specificity of murine HEMK2. Our data show that HEMK2 requires a GQX 3 R motif for methylation activity. In addition, amino acid preferences were observed between the ؊3 and ؉7 positions of the peptide substrate (considering the target glutamine as 0), including a preference for Ser, Arg, and Gly at the ؉1 and a preference for Arg at the ؉7 position. Based on our specificity profile, we identified several human proteins that contain putative HEMK2 methylation sites and show that HEMK2 methylates 58 novel peptide substrates. After cloning, expression, and purification of the corresponding protein domains, we confirmed methylation for 11 of them at the protein level. Transfected CHD5 (chromodomain helicase DNA-binding protein 5) and NUT (nuclear protein in testis) were also demonstrated to be methylated by HEMK2 in human HEK293 cells. Our data expand the range of proteins potentially subjected to glutamine methylation significantly, but further investigation will be required to understand the function of HEMK2-mediated methylation in proteins other than eRF1.

The neoplastic stromal cells of giant cell tumor of bone (GCTB) carry a mutation in H3F3A, leading to a mutant histone variant, H3.3-G34W, as a sole recurrent genetic alteration. We show that in patient-derived stromal cells H3.3-G34W is incorporated into the chromatin and associates with massive epigenetic alterations on the DNA methylation, chromatin accessibility and histone modification level, that can be partially recapitulated in an orthogonal cell line system by the introduction of H3.3-G34W. These epigenetic alterations affect mainly heterochromatic and bivalent regions and provide possible explanations for the genomic instability, as well as the osteolytic phenotype of GCTB. The mutation occurs in differentiating mesenchymal stem cells and associates with an impaired osteogenic differentiation. We propose that the observed epigenetic alterations reflect distinct differentiation stages of H3.3 WT and H3.3 MUT stromal cells and add to H3.3-G34W-associated changes.

Lysine methylation is an emerging post-translation modification and it has been identified on several histone and non-histone proteins, where it plays crucial roles in cell development and many diseases. Approximately 5,000 lysine methylation sites were identified on different proteins, which are set by few dozens of protein lysine methyltransferases. This suggests that each PKMT methylates multiple proteins, however till now only one or two substrates have been identified for several of these enzymes. To approach this problem, we have introduced peptide array based substrate specificity analyses of PKMTs. Peptide arrays are powerful tools to characterize the specificity of PKMTs because methylation of several substrates with different sequences can be tested on one array. We synthesized peptide arrays on cellulose membrane using an Intavis SPOT synthesizer and analyzed the specificity of various PKMTs. Based on the results, for several of these enzymes, novel substrates could be identified. For example, for NSD1 by employing peptide arrays, we showed that it methylates K44 of H4 instead of the reported H4K20 and in addition H1.5K168 is the highly preferred substrate over the previously known H3K36. Hence, peptide arrays are powerful tools to biochemically characterize the PKMTs. Video LinkThe video component of this article can be found at