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Substrate Specificity of the HEMK2 Protein Glutamine Methyltransferase and Identification of Novel Substrates.

ABSTRACT: 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 GQX3R 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.

SUBMITTER: Kusevic D

PROVIDER: S-EPMC4813560 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

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Project description:Prenylation is a posttranslational modification essential for the proper localization and function of many proteins. Farnesylation, the attachment of a 15-carbon farnesyl group near the C-terminus of protein substrates, is catalyzed by protein farnesyltransferase (FTase). Farnesylation has received significant interest as a target for pharmaceutical development, and farnesyltransferase inhibitors are in clinical trials as cancer therapeutics. However, as the total complement of prenylated proteins is unknown, the FTase substrates responsible for farnesyltransferase inhibitor efficacy are not yet understood. Identifying novel prenylated proteins within the human proteome constitutes an important step towards understanding prenylation-dependent cellular processes. Based on sequence preferences for FTase derived from analysis of known farnesylated proteins, we selected and screened a library of small peptides representing the C-termini of 213 human proteins for activity with FTase. We identified 77 novel FTase substrates that exhibit multiple-turnover (MTO) reactivity within this library; our library also contained 85 peptides that can be farnesylated by FTase only under single-turnover (STO) conditions. Based on these results, a second library was designed that yielded an additional 29 novel MTO FTase substrates and 45 STO substrates. The two classes of substrates exhibit different specificity requirements. Efficient MTO reactivity correlates with the presence of a nonpolar amino acid at the a(2) position and a Phe, Met, or Gln at the terminal X residue, consistent with the proposed Ca(1)a(2)X sequence model. In contrast, the sequences of the STO substrates vary significantly more at both the a(2) and the X residues and are not well described by current farnesylation algorithms. These results improve the definition of prenyltransferase substrate specificity, test the efficacy of substrate algorithms, and provide valuable information about therapeutic targets. Finally, these data illuminate the potential for in vivo regulation of prenylation through modulation of STO versus MTO peptide reactivity with FTase.

Project description:BACKGROUND: Protein O-GlcNAcylation, involving the attachment of single N-acetylglucosamine (GlcNAc) to the hydroxyl group of serine or threonine residues. Elucidation of O-GlcNAcylation sites on proteins is required in order to decipher its crucial roles in regulating cellular processes and aid in drug design. With an increasing number of O-GlcNAcylation sites identified by mass spectrometry (MS)-based proteomics, several methods have been proposed for the computational identification of O-GlcNAcylation sites. However, no development that focuses on the investigation of O-GlcNAcylated substrate motifs has existed. Thus, we were motivated to design a new method for the identification of protein O-GlcNAcylation sites with the consideration of substrate site specificity. RESULTS: In this study, 375 experimentally verified O-GlcNAcylation sites were collected from dbOGAP, which is an integrated resource for protein O-GlcNAcylation. Due to the difficulty in characterizing the substrate motifs by conventional sequence logo analysis, a recursively statistical method has been applied to obtain significant conserved motifs. To construct the predictive models learned from the identified substrate motifs, we adopted Support Vector Machines (SVMs). A five-fold cross validation was used to evaluate the predictive model, achieving sensitivity, specificity, and accuracy of 0.76, 0.80, and 0.78, respectively. Additionally, an independent testing set, which was really blind to the training data of predictive model, was used to demonstrate that the proposed method could provide a promising accuracy (0.94) and outperform three other O-GlcNAcylation site prediction tools. CONCLUSION: This work proposed a computational method to identify informative substrate motifs for O-GlcNAcylation sites. The evaluation of cross validation and independent testing indicated that the identified motifs were effective in the identification of O-GlcNAcylation sites. A case study demonstrated that the proposed method could be a feasible means of conducting preliminary analyses of protein O-GlcNAcylation. We also anticipated that the revealed substrate motif may facilitate the study of extensive crosstalk between O-GlcNAcylation and phosphorylation. This method may help unravel their mechanisms and roles in signaling, transcription, chronic disease, and cancer.

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Substrate Specificity of the HEMK2 Protein Glutamine Methyltransferase and Identification of Novel Substrates.

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