- Research Article
4
- 10.4155/fmc.15.119
Unlocking the potential of chemical probes for methyl-lysine reader proteins.
- Sep 01, 2015
- Future Medicinal Chemistry
- Stephen V Frye
Unlocking the potential of chemical probes for methyl-lysine reader proteins.
Chapter 20 - Targeting Methyl Lysine
Unlocking the potential of chemical probes for methyl-lysine reader proteins.
Unlocking the potential of chemical probes for methyl-lysine reader proteins.
Organismal Differences in Post-translational Modifications in Histones H3 and H4
Post-translational modifications (PTMs) of histones play an important role in many cellular processes, notably gene regulation. Using a combination of mass spectrometric and immunobiochemical approaches, we show that the PTM profile of histone H3 differs significantly among the various model organisms examined. Unicellular eukaryotes, such as Saccharomyces cerevisiae (yeast) and Tetrahymena thermophila (Tet), for example, contain more activation than silencing marks as compared with mammalian cells (mouse and human), which are generally enriched in PTMs more often associated with gene silencing. Close examination reveals that many of the better-known modified lysines (Lys) can be either methylated or acetylated and that the overall modification patterns become more complex from unicellular eukaryotes to mammals. Additionally, novel species-specific H3 PTMs from wild-type asynchronously grown cells are also detected by mass spectrometry. Our results suggest that some PTMs are more conserved than previously thought, including H3K9me1 and H4K20me2 in yeast and H3K27me1, -me2, and -me3 in Tet. On histone H4, methylation at Lys-20 showed a similar pattern as H3 methylation at Lys-9, with mammals containing more methylation than the unicellular organisms. Additionally, modification profiles of H4 acetylation were very similar among the organisms examined.
Read moreLarge Scale Mass Spectrometry-based Identifications of Enzyme-mediated Protein Methylation Are Subject to High False Discovery Rates
All large scale LC-MS/MS post-translational methylation site discovery experiments require methylpeptide spectrum matches (methyl-PSMs) to be identified at acceptably low false discovery rates (FDRs). To meet estimated methyl-PSM FDRs, methyl-PSM filtering criteria are often determined using the target-decoy approach. The efficacy of this methyl-PSM filtering approach has, however, yet to be thoroughly evaluated. Here, we conduct a systematic analysis of methyl-PSM FDRs across a range of sample preparation workflows (each differing in their exposure to the alcohols methanol and isopropyl alcohol) and mass spectrometric instrument platforms (each employing a different mode of MS/MS dissociation). Through (13)CD3-methionine labeling (heavy-methyl SILAC) of Saccharomyces cerevisiae cells and in-depth manual data inspection, accurate lists of true positive methyl-PSMs were determined, allowing methyl-PSM FDRs to be compared with target-decoy approach-derived methyl-PSM FDR estimates. These results show that global FDR estimates produce extremely unreliable methyl-PSM filtering criteria; we demonstrate that this is an unavoidable consequence of the high number of amino acid combinations capable of producing peptide sequences that are isobaric to methylated peptides of a different sequence. Separate methyl-PSM FDR estimates were also found to be unreliable due to prevalent sources of false positive methyl-PSMs that produce high peptide identity score distributions. Incorrect methylation site localizations, peptides containing cysteinyl-S-β-propionamide, and methylated glutamic or aspartic acid residues can partially, but not wholly, account for these false positive methyl-PSMs. Together, these results indicate that the target-decoy approach is an unreliable means of estimating methyl-PSM FDRs and methyl-PSM filtering criteria. We suggest that orthogonal methylpeptide validation (e.g. heavy-methyl SILAC or its offshoots) should be considered a prerequisite for obtaining high confidence methyl-PSMs in large scale LC-MS/MS methylation site discovery experiments and make recommendations on how to reduce methyl-PSM FDRs in samples not amenable to heavy isotope labeling. Data are available via ProteomeXchange with the data identifier PXD002857.
Read moreIn Vivo Residue-specific Histone Methylation Dynamics
Methylation of specific histone residues is capable of both gene activation and silencing. Despite vast work on the function of methylation, most studies either present a static snapshot of methylation or fail to assign kinetic information to specific residues. Using liquid chromatography-tandem mass spectrometry on a high-resolution mass spectrometer and heavy methyl-SILAC labeling, we studied site-specific histone lysine and arginine methylation dynamics. The detection of labeled intermediates within a methylation state revealed that mono-, di-, and trimethylated residues generally have progressively slower rates of formation. Furthermore, methylations associated with active genes have faster rates than methylations associated with silent genes. Finally, the presence of both an active and silencing mark on the same peptide results in a slower rate of methylation than the presence of either mark alone. Here we show that quantitative proteomic approaches such as this can determine the dynamics of multiple methylated residues, an understudied portion of histone biology.
Read moreChemical Biology: Powerful Synergy Between Two Cultures
Dear Reader, the explosive growth of the young field of Chemical Biology (CB) is evident from its high-profile journals, including Nature Chemical Biology, ACS Chemical Biology, Cell Chemical Biology and ChemBioChem, and from its popular conferences, such as EMBO biannual chemical biology meeting, which attract increasing audiences from both academia and industry. Several prestigious Chemistry Departments have changed their names to Department of Chemistry and Chemical Biology to accommodate the glory and appeal of CB to the young generation of scientists.
Read moreLysine methylation of transcription factors in cancer
Protein lysine methylation is a critical and dynamic post-translational modification that can regulate protein stability and function. This post-translational modification is regulated by lysine methyltransferases and lysine demethylases. Recent studies using mass-spectrometric techniques have revealed that in addition to histones, a great number of transcription factors are also methylated, often at multiple sites and to different degrees (mono-, di-, trimethyl lysine). The biomedical significance of transcription factor methylation in human diseases, including cancer, has been explored recently. Some studies have demonstrated that interfering with transcription factor lysine methylation both in vitro and in vivo can inhibit cancer cell proliferation, thereby reversing tumor progression. The inhibitors targeting lysine methyltransferases and lysine demethylases have been under development for the past two decades, and may be used as potential anticancer agents in the clinic. In this review, we focus on the current findings of transcription factor lysine methylation, and the effects on both transcriptional activity and target gene expression. We outlined the biological significance of transcription factor lysine methylation on tumor progression and highlighted its clinical value in cancer therapy.
Read moreNonhistone Lysine Methylation in the Regulation of Cancer Pathways.
Proteins are regulated by an incredible array of posttranslational modifications (PTMs). Methylation of lysine residues on histone proteins is a PTM with well-established roles in regulating chromatin and epigenetic processes. The recent discovery that hundreds and likely thousands of nonhistone proteins are also methylated at lysine has opened a tremendous new area of research. Major cellular pathways involved in cancer, such as growth signaling and the DNA damage response, are regulated by lysine methylation. Although the field has developed quickly in recent years many fundamental questions remain to be addressed. We review the history and molecular functions of lysine methylation. We then discuss the enzymes that catalyze methylation of lysine residues, the enzymes that remove lysine methylation, and the cancer pathways known to be regulated by lysine methylation. The rest of the article focuses on two open questions that we suggest as a roadmap for future research. First is understanding the large number of candidate methyltransferase and demethylation enzymes whose enzymatic activity is not yet defined and which are potentially associated with cancer through genetic studies. Second is investigating the biological processes and cancer mechanisms potentially regulated by the multitude of lysine methylation sites that have been recently discovered.
Read moreA proteomic approach for the identification of novel lysine methyltransferase substrates
BackgroundSignaling via protein lysine methylation has been proposed to play a central role in the regulation of many physiologic and pathologic programs. In contrast to other post-translational modifications such as phosphorylation, proteome-wide approaches to investigate lysine methylation networks do not exist.ResultsIn the current study, we used the ProtoArray® platform, containing over 9,500 human proteins, and developed and optimized a system for proteome-wide identification of novel methylation events catalyzed by the protein lysine methyltransferase (PKMT) SETD6. This enzyme had previously been shown to methylate the transcription factor RelA, but it was not known whether SETD6 had other substrates. By using two independent detection approaches, we identified novel candidate substrates for SETD6, and verified that all targets tested in vitro and in cells were genuine substrates.ConclusionsWe describe a novel proteome-wide methodology for the identification of new PKMT substrates. This technological advance may lead to a better understanding of the enzymatic activity and substrate specificity of the large number (more than 50) PKMTs present in the human proteome, most of which are uncharacterized.
Read moreChapter 10 - Computational Chemical Biology of Methyllysine Histone Effectors
Chapter 10 - Computational Chemical Biology of Methyllysine Histone Effectors
Post-translational histone modifications associated with the development of metabolic dysfunction-associated fatty liver disease. Part 2. Histone methylation
Based on the analysis of literary sources of databases Pubmed, MEDLINE, The Cochrane Library, Embase, the authors highlight the essential role of epigenetic modulations in the pathogenesis of metabolic dysfunction-associated fatty liver disease. They give general provisions regarding post-translational histone modifications, which are associated with the development of metabolic dysfunction-associated fatty liver disease, namely, the features of their methylation, post-translational modifications of methylation of lysine residues (sites H3K4, H3K27, H3K36, H3K79, H4K20, H3K23, H3K63 and H4K12), arginine residues (sites H2AR3, H4R3, H3R2, H3R8 and H3R26). Histone methylation and demethylation, mediating the expression of key genes involved in carbohydrate and lipid metabolism, determine both the occurrence and development of steatosis, inflammation and fibrosis of the liver in patients with metabolic dysfunction-associated fatty liver disease. Methylated markers H3K9, H3K27, H4K20 of histones are associated with packed heterochromatin and repression of gene transcription, while methylated markers H3K4, H3K36, H3K79 of histones are associated with activation of gene transcription. Methylation of lysine or arginine residues of histones is carried out by methyltransferases that use S-adenosylmethionine as a donor molecule. The methylated site of an arginine residue can be represented by a monomethylated, asymmetrically demethylated, or symmetrically demethylated marker, whereas demethylation of a lysine marker is mediated by demethylases. The authors provide data that in metabolic dysfunction-associated fatty liver disease, the main sites in which aberrant methylation is observed are H3K4, H3K9, H3K27, H4R3, H3R8, and H2AR3. Several genes of histone methyltransferases and histone demethylases have been identified, which are differentially expressed in patients with metabolic dysfunction-associated fatty liver disease and healthy people. The authors emphasize that the enzymes involved in the histone methylation and demethylation are targets of future drugs, which will certainly improve the effectiveness of drug therapy in patients with metabolic dysfunction-associated fatty liver disease.
Read moreJMJD2A Promotes Cellular Transformation by Blocking Cellular Senescence through Transcriptional Repression of the Tumor Suppressor CHD5
JMJD2A Promotes Cellular Transformation by Blocking Cellular Senescence through Transcriptional Repression of the Tumor Suppressor CHD5
Read moreUnconventional post-translational modifications in immunological signaling
The activity of a cell is governed by the signals it receives from the extracellular milieu, which are 'translated' into the appropriate biological output, such as activation, survival, proliferation, migration or differentiation. Signaling pathways are responsible for converting environmental cues into discrete intracellular events. The alteration of existing proteins by post-translational modification (PTM) is a key feature of signal-transduction pathways that allows the modulation of protein function. Research into PTMs has long been dominated by the investigation of protein phosphorylation; other PTMs, such as methylation of lysine and arginine residues, acetylation, and nitrosylation of thiol groups and tyrosine residues, have received comparatively little attention. This Review aims to present an overview of these PTMs, with an emphasis on their role in cells of the immune system.
Read moreSubstrate-Differentiated Transition States of SET7/9-Catalyzed Lysine Methylation.
Transition state stabilization is essential for rate acceleration of enzymatic reactions. Despite extensive studies on various transition state structures of enzymes, an intriguing puzzle is whether an enzyme can accommodate multiple transition states (TSs) to catalyze a chemical reaction. It is experimentally challenging to study this proposition in terms of the choices of suitable enzymes and the feasibility to distinguish multiple TSs. As a paradigm with the protein lysine methyltransferase (PKMT) SET7/9 paired with its physiological substrates H3 and p53, their TSs were solved with experimental kinetic isotope effects as computational constraints. Remarkably, SET7/9 adopts two structurally distinct TSs, a nearly symmetric SN2 and an extremely early SN2, for H3K4 and p53K372 methylation, respectively. The two TSs are also different from those previously revealed for other PKMTs. The setting of multiple TSs is expected to be essential for SET7/9 and likely other PKMTs to act on broad substrates with high efficiency.
Read moreFine-tuning of histone H3 Lys4 methylation during pseudohyphal differentiation by the CDK submodule of RNA polymerase II.
Transcriptional regulation is dependent upon the interactions between the RNA pol II holoenzyme complex and chromatin. RNA pol II is part of a highly conserved multiprotein complex that includes the core mediator and CDK8 subcomplex. In Saccharomyces cerevisiae, the CDK8 subcomplex, composed of Ssn2p, Ssn3p, Ssn8p, and Srb8p, is thought to play important roles in mediating transcriptional control of stress-responsive genes. Also central to transcriptional control are histone post-translational modifications. Lysine methylation, dynamically balanced by lysine methyltransferases and demethylases, has been intensively studied, uncovering significant functions in transcriptional control. A key question remains in understanding how these enzymes are targeted during stress response. To determine the relationship between lysine methylation, the CDK8 complex, and transcriptional control, we performed phenotype analyses of yeast lacking known lysine methyltransferases or demethylases in isolation or in tandem with SSN8 deletions. We show that the RNA pol II CDK8 submodule components SSN8/SSN3 and the histone demethylase JHD2 are required to inhibit pseudohyphal growth-a differentiation pathway induced during nutrient limitation-under rich conditions. Yeast lacking both SSN8 and JHD2 constitutively express FLO11, a major regulator of pseudohyphal growth. Interestingly, deleting known FLO11 activators including FLO8, MSS11, MFG1, TEC1, SNF1, KSS1, and GCN4 results in a range of phenotypic suppression. Using chromatin immunoprecipitation, we found that SSN8 inhibits H3 Lys4 trimethylation independently of JHD2 at the FLO11 locus, suggesting that H3 Lys4 hypermethylation is locking FLO11 into a transcriptionally active state. These studies implicate the CDK8 subcomplex in fine-tuning H3 Lys4 methylation levels during pseudohyphal differentiation.
Read moreQuantitative proteomic analysis of histone modifications.
ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTQuantitative Proteomic Analysis of Histone ModificationsHe Huang†, Shu Lin‡, Benjamin A. Garcia‡, and Yingming Zhao*†View Author Information† Ben May Department of Cancer Research, The University of Chicago, Chicago, Illinois 60637, United States‡ Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States*Tel.: (773) 834-1561. Fax: (773) 702-3701. E-mail: [email protected]Cite this: Chem. Rev. 2015, 115, 6, 2376–2418Publication Date (Web):February 17, 2015Publication History Received2 September 2014Published online17 February 2015Published inissue 25 March 2015https://pubs.acs.org/doi/10.1021/cr500491uhttps://doi.org/10.1021/cr500491ureview-articleACS PublicationsCopyright © 2015 American Chemical SocietyRequest reuse permissionsArticle Views9003Altmetric-Citations286LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Ions,Mass spectrometry,Monomers,Peptides and proteins,Protein structure Get e-Alerts
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