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Item Open Access Enzymatic characterization of protein lysine methyltransferases(2017) Weirich, Sara; Jeltsch, Albert (Prof. Dr.)Histone lysine methylation is an epigenetic mechanism that is involved in the regulation of many biological processes. Over the last decade, the global interest in protein lysine methylation events increased drastically, because several protein lysine methyltransferases (PKMTs) and lysine methylation sites were identified in the genomes and proteomes of many organisms also including non-histone proteins functioning as substrates for PKMTs. The fast development of this field has moved the understanding of the biological outcome of lysine methylation into the center of research. Most urgently, it is necessary to improve our knowledge about lysine methylation by connecting specific target sites with the responsible PKMT and identifying the full substrate spectrum of PKMTs. In this thesis substrate specificity analysis was performed to tackle this challenge. It was shown that methylation of substrate specificity arrays is a good approach to analyze the substrate preference of PKMTs and identify subtle differences between related enzymes with same overall specificity. Furthermore, substrate specificity analysis was shown to be useful for the identification of novel substrates, which was successfully demonstrated for SUV4-20H1, SUV4-20H2, MLL1 and MLL3 in the present study. In vitro methylation experiments indicated that SUV4-20H1 and SUV4-20H2 introduce dimethylation on H4K20 using monomethylated H4K20 as substrate. SUV4-20H1 and SUV4-20H2 have an overlapping sequence motif, but SUV4-20H2 is less specific. This result was supported by the identification of one novel non-histone substrate for SUV4-20H1 and three non-histone targets for SUV4-20H2. MLL1 and MLL3 are H3K4 methyltransferases, but they belong to different MLL subfamilies. MLL1 catalyzes H3K4 trimethylation at promotors of developmental genes, whereas MLL3 introduces H3K4 monomethylation at enhancers. MLL1 and MLL3 are parts of related multi protein complexes also containing WDR5, RBBP5 and ASH2L. Substrate specificity analysis of MLL1 showed that it accepts several other residues at many positions of the target sequence, in addition to the residues in the original sequences of H3. At the protein level two novel substrates (TICRR and ZNF862) were methylated by MLL1. Comparison of the relative activity showed that the H3 protein was the best target in the absence of complex partners, but ZNF862 was preferred in presence of WRA. Finally, my data indicate that the substrate specificity of MLL3-WRA differed slightly from MLL1, suggesting that they may have different non-histone substrates. In several publications, assignments between PKMTs and methylated histone or non-histone target sites have been reported, but in some cases the data are questionable. This could lead to wrong interpretation of biological processes and misleading of follow-up studies. It has been shown for two examples in this study, that substrate specificity analysis can be used to identify problematic assignments between PKMT and methylation events, which need to be studied experimentally to confirm the published findings. Vougiouklakis et al. (2015) reported that SUV4-20H1 methylates ERK1 at K302 and K361, but these target sites do not fit to the specificity profile of SUV4-20H1. Indeed, I could not detect methylation of ERK1 by SUV4-20H1 or SUV4-20H2 at peptide and protein level although positive controls showed the expected methylation. Dhami et al. (2013) reported that Numb protein is methylated by SET8 at K158 and K163, which was not in agreement with the specificity data of SET8. In this thesis, Numb peptide and protein methylation was studied using recombinant SET8 purified from E.coli or HEK293 cells. In both cases, no methylation of Numb could be observed. These data suggest that these assignments of methylation substrates and PKMTs are likely not correct. Whole genome and whole transcriptome sequencing projects have frequently found somatic mutations in epigenetic enzymes in cancers. Somatic cancer mutations can have loss-of-function or gain-of-function effects on the enzymatic properties of PKMTs. Especially gain-of-function effects are a challenge in understanding their role in carcinogenesis. In this study, the effects of somatic cancer mutations found in the SET domain of MLL1 and MLL3 were analyzed. Four somatic cancer mutations of MLL1 and three of MLL3 were selected for analysis on the basis of their location close to binding sites of AdoMet, peptide or the interaction partners. The investigation of somatic cancer mutations in MLL1 and MLL3 indicated that each specific mutation has its unique effect on the enzymatic activity, product or substrate specificity and principle regulatory mechanism indicating that each mutant needs specific in depth experimental investigation in order to understand its carcinogenic effect. Moreover, inhibitor studies demonstrated that each mutant needs to be experimentally studied to allow for the development of mutation specific therapeutic strategies.