Histone H3 Tail Binds a Unique Sensing Pocket in EZH2 to Activate the PRC2 Methyltransferase
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Plant SET Domain-Containing Proteins: Structure, Function and Regulation
Biochimica et Biophysica Acta 1769 (2007) 316–329 www.elsevier.com/locate/bbaexp Review Plant SET domain-containing proteins: Structure, function and regulation Danny W-K Ng, Tao Wang, Mahesh B. Chandrasekharan 1, Rodolfo Aramayo, ⁎ Sunee Kertbundit 2, Timothy C. Hall Institute of Developmental and Molecular Biology and Department of Biology, Texas A&M University, College Station, TX 77843-3155, USA Received 27 October 2006; received in revised form 3 April 2007; accepted 4 April 2007 Available online 12 April 2007 Abstract Modification of the histone proteins that form the core around which chromosomal DNA is looped has profound epigenetic effects on the accessibility of the associated DNA for transcription, replication and repair. The SET domain is now recognized as generally having methyltransferase activity targeted to specific lysine residues of histone H3 or H4. There is considerable sequence conservation within the SET domain and within its flanking regions. Previous reviews have shown that SET proteins from Arabidopsis and maize fall into five classes according to their sequence and domain architectures. These classes generally reflect specificity for a particular substrate. SET proteins from rice were found to fall into similar groupings, strengthening the merit of the approach taken. Two additional classes, VI and VII, were established that include proteins with truncated/ interrupted SET domains. Diverse mechanisms are involved in shaping the function and regulation of SET proteins. These include protein–protein interactions through both intra- and inter-molecular associations that are important in plant developmental processes, such as flowering time control and embryogenesis. Alternative splicing that can result in the generation of two to several different transcript isoforms is now known to be widespread. -
O-Glcnacylation Regulates the Stability and Enzymatic Activity of the Histone Methyltransferase EZH2
O-GlcNAcylation regulates the stability and enzymatic activity of the histone methyltransferase EZH2 Pei-Wen Loa, Jiun-Jie Shieb, Chein-Hung Chena, Chung-Yi Wua, Tsui-Ling Hsua, and Chi-Huey Wonga,1 aGenomics Research Center, Academia Sinica, Taipei 115, Taiwan; and bInstitute of Chemistry, Academia Sinica, Taipei 115, Taiwan Contributed by Chi-Huey Wong, May 16, 2018 (sent for review February 1, 2018; reviewed by Michael D. Burkart, Benjamin G. Davis, and Gerald W. Hart) Protein O-glycosylation by attachment of β-N-acetylglucosamine maintenance and differentiation in embryonic stem cells (14, 15). (GlcNAc) to the Ser or Thr residue is a major posttranslational It was suggested that O-GlcNAcylation might play an important glycosylation event and is often associated with protein folding, role in the regulation of PRC1-mediated gene expression, and stability, and activity. The methylation of histone H3 at Lys-27 along this line the O-GlcNAcylation of EZH2 at S76 in the PRC2 catalyzed by the methyltransferase EZH2 was known to suppress complex was reported to stablize EZH2 in our previous study (16). gene expression and cancer development, and we previously The PRC2 complex is composed of Enhancer of zeste 2 (EZH2), reported that the O-GlcNAcylation of EZH2 at S76 stabilized Suppressor of Zeste 12 (Suz12), Extraembryonic endoderm (EED), EZH2 and facilitated the formation of H3K27me3 to inhibit tumor AE binding protein 2 (AEBP2), and retinoblastoma binding protein suppression. In this study, we employed a fluorescence-based method 4/7 (RBBP4/7) (17, 18). Within the PRC2 complex, EZH2 catalyzes the di- and trimethylation of histone H3 at lysine 27 (K27) to form of sugar labeling combined with mass spectrometry to investigate H3K27me2/3 to regulate embryonic and cancer development EZH2 glycosylation and identified five O-GlcNAcylation sites. -
The Mutational Landscape of Myeloid Leukaemia in Down Syndrome
cancers Review The Mutational Landscape of Myeloid Leukaemia in Down Syndrome Carini Picardi Morais de Castro 1, Maria Cadefau 1,2 and Sergi Cuartero 1,2,* 1 Josep Carreras Leukaemia Research Institute (IJC), Campus Can Ruti, 08916 Badalona, Spain; [email protected] (C.P.M.d.C); [email protected] (M.C.) 2 Germans Trias i Pujol Research Institute (IGTP), Campus Can Ruti, 08916 Badalona, Spain * Correspondence: [email protected] Simple Summary: Leukaemia occurs when specific mutations promote aberrant transcriptional and proliferation programs, which drive uncontrolled cell division and inhibit the cell’s capacity to differentiate. In this review, we summarize the most frequent genetic lesions found in myeloid leukaemia of Down syndrome, a rare paediatric leukaemia specific to individuals with trisomy 21. The evolution of this disease follows a well-defined sequence of events and represents a unique model to understand how the ordered acquisition of mutations drives malignancy. Abstract: Children with Down syndrome (DS) are particularly prone to haematopoietic disorders. Paediatric myeloid malignancies in DS occur at an unusually high frequency and generally follow a well-defined stepwise clinical evolution. First, the acquisition of mutations in the GATA1 transcription factor gives rise to a transient myeloproliferative disorder (TMD) in DS newborns. While this condition spontaneously resolves in most cases, some clones can acquire additional mutations, which trigger myeloid leukaemia of Down syndrome (ML-DS). These secondary mutations are predominantly found in chromatin and epigenetic regulators—such as cohesin, CTCF or EZH2—and Citation: de Castro, C.P.M.; Cadefau, in signalling mediators of the JAK/STAT and RAS pathways. -
The Landscape of Somatic Mutations in Epigenetic Regulators Across 1,000 Paediatric Cancer Genomes
ARTICLE Received 24 Sep 2013 | Accepted 12 Mar 2014 | Published 8 Apr 2014 DOI: 10.1038/ncomms4630 The landscape of somatic mutations in epigenetic regulators across 1,000 paediatric cancer genomes Robert Huether1,*, Li Dong2,*, Xiang Chen1, Gang Wu1, Matthew Parker1, Lei Wei1, Jing Ma2, Michael N. Edmonson1, Erin K. Hedlund1, Michael C. Rusch1, Sheila A. Shurtleff2, Heather L. Mulder3, Kristy Boggs3, Bhavin Vadordaria3, Jinjun Cheng2, Donald Yergeau3, Guangchun Song2, Jared Becksfort1, Gordon Lemmon1, Catherine Weber2, Zhongling Cai2, Jinjun Dang2, Michael Walsh4, Amanda L. Gedman2, Zachary Faber2, John Easton3, Tanja Gruber2,4, Richard W. Kriwacki5, Janet F. Partridge6, Li Ding7,8,9, Richard K. Wilson7,8,9, Elaine R. Mardis7,8,9, Charles G. Mullighan2, Richard J. Gilbertson10, Suzanne J. Baker10, Gerard Zambetti6, David W. Ellison2, Jinghui Zhang1 & James R. Downing2 Studies of paediatric cancers have shown a high frequency of mutation across epigenetic regulators. Here we sequence 633 genes, encoding the majority of known epigenetic regulatory proteins, in over 1,000 paediatric tumours to define the landscape of somatic mutations in epigenetic regulators in paediatric cancer. Our results demonstrate a marked variation in the frequency of gene mutations across 21 different paediatric cancer subtypes, with the highest frequency of mutations detected in high-grade gliomas, T-lineage acute lymphoblastic leukaemia and medulloblastoma, and a paucity of mutations in low-grade glioma and retinoblastoma. The most frequently mutated genes are H3F3A, PHF6, ATRX, KDM6A, SMARCA4, ASXL2, CREBBP, EZH2, MLL2, USP7, ASXL1, NSD2, SETD2, SMC1A and ZMYM3. We identify novel loss-of-function mutations in the ubiquitin-specific processing protease 7 (USP7) in paediatric leukaemia, which result in decreased deubiquitination activity. -
Histone H3.3 Maintains Genome Integrity During Mammalian Development
Downloaded from genesdev.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Histone H3.3 maintains genome integrity during mammalian development Chuan-Wei Jang, Yoichiro Shibata, Joshua Starmer, Della Yee, and Terry Magnuson Department of Genetics, Carolina Center for Genome Sciences, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599-7264, USA Histone H3.3 is a highly conserved histone H3 replacement variant in metazoans and has been implicated in many important biological processes, including cell differentiation and reprogramming. Germline and somatic mutations in H3.3 genomic incorporation pathway components or in H3.3 encoding genes have been associated with human congenital diseases and cancers, respectively. However, the role of H3.3 in mammalian development remains un- clear. To address this question, we generated H3.3-null mouse models through classical genetic approaches. We found that H3.3 plays an essential role in mouse development. Complete depletion of H3.3 leads to developmental retardation and early embryonic lethality. At the cellular level, H3.3 loss triggers cell cycle suppression and cell death. Surprisingly, H3.3 depletion does not dramatically disrupt gene regulation in the developing embryo. Instead, H3.3 depletion causes dysfunction of heterochromatin structures at telomeres, centromeres, and pericentromeric regions of chromosomes, leading to mitotic defects. The resulting karyotypical abnormalities and DNA damage lead to p53 pathway activation. In summary, our results reveal that an important function of H3.3 is to support chro- mosomal heterochromatic structures, thus maintaining genome integrity during mammalian development. [Keywords: histone H3.3; genome integrity; transcriptional regulation; cell proliferation; apoptosis; mouse embryonic development] Supplemental material is available for this article. -
Automethylation of PRC2 Promotes H3K27 Methylation and Is Impaired in H3K27M Pediatric Glioma
Downloaded from genesdev.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press Automethylation of PRC2 promotes H3K27 methylation and is impaired in H3K27M pediatric glioma Chul-Hwan Lee,1,2,7 Jia-Ray Yu,1,2,7 Jeffrey Granat,1,2,7 Ricardo Saldaña-Meyer,1,2 Joshua Andrade,3 Gary LeRoy,1,2 Ying Jin,4 Peder Lund,5 James M. Stafford,1,2,6 Benjamin A. Garcia,5 Beatrix Ueberheide,3 and Danny Reinberg1,2 1Department of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, New York 10016, USA; 2Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA; 3Proteomics Laboratory, New York University School of Medicine, New York, New York 10016, USA; 4Shared Bioinformatics Core, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA; 5Department of Biochemistry and Molecular Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA The histone methyltransferase activity of PRC2 is central to the formation of H3K27me3-decorated facultative heterochromatin and gene silencing. In addition, PRC2 has been shown to automethylate its core subunits, EZH1/ EZH2 and SUZ12. Here, we identify the lysine residues at which EZH1/EZH2 are automethylated with EZH2-K510 and EZH2-K514 being the major such sites in vivo. Automethylated EZH2/PRC2 exhibits a higher level of histone methyltransferase activity and is required for attaining proper cellular levels of H3K27me3. While occurring inde- pendently of PRC2 recruitment to chromatin, automethylation promotes PRC2 accessibility to the histone H3 tail. Intriguingly, EZH2 automethylation is significantly reduced in diffuse intrinsic pontine glioma (DIPG) cells that carry a lysine-to-methionine substitution in histone H3 (H3K27M), but not in cells that carry either EZH2 or EED mutants that abrogate PRC2 allosteric activation, indicating that H3K27M impairs the intrinsic activity of PRC2. -
M2139: Molecular Analysis for Gliomas
Molecular Analysis for Gliomas Policy Number: AHS – M2139 – Molecular Analysis Prior Policy Name and Number, as applicable: for Gliomas • AHS – M2139 – Analysis of MGMT Promoter Methylation for Malignant Gliomas Initial Presentation Date: 06/16/2021 Revision Date: N/A I. Policy Description Glioma refers to tumors resulting from metaplastic transformation of glial tissue of the nervous system. Tumors have historically been classified by the retained histologic features of the three types of glial cells: astrocytes, oligodendrocytes, and ependymal cells. Tumors of each type can vary widely in aggressiveness, response to treatment, and prognosis (Louis, Schiff, & Batchelor, 2020). Molecular genetic features were added to histopathologic appearance in the current WHO classification to yield more biologically homogeneous and narrowly defined diagnostic entities for greater diagnostic accuracy, improved patient management, more accurate determinations of prognosis, and better treatment response (Louis et al., 2016). II. Related Policies Policy Number Policy Title AHS-M2109 Molecular Panel Testing of Cancers for Diagnosis, Prognosis, and Identification of Targeted Therapy III. Indications and/or Limitations of Coverage Application of coverage criteria is dependent upon an individual’s benefit coverage at the time of the request 1. MGMT promoter methylation testing IS MEDICALLY NECESSARY for prognosis of malignant gliomas. 2. IDH1 and IDH2 testing IS MEDICALLY NECESSARY for prognosis of malignant gliomas. M2139 Molecular Analysis for Gliomas Page 1 of 15 3. Testing for the co-deletion of 1p and 19q by either fluorescence in situ hybridization (FISH) or polymerase chain reaction (PCR) for the characterization of gliomas and/or to guide treatment decisions IS MEDICALLY NECESSARY. 4. ATRX mutation testing via EITHER immunohistochemistry OR gene sequencing IS MEDICALLY NECESSARY for the prognosis of malignant gliomas. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Histone Methylases As Novel Drug Targets. Focus on EZH2 Inhibition. Catherine BAUGE1,2,#, Céline BAZILLE 1,2,3, Nicolas GIRARD1
Histone methylases as novel drug targets. Focus on EZH2 inhibition. Catherine BAUGE1,2,#, Céline BAZILLE1,2,3, Nicolas GIRARD1,2, Eva LHUISSIER1,2, Karim BOUMEDIENE1,2 1 Normandie Univ, France 2 UNICAEN, EA4652 MILPAT, Caen, France 3 Service d’Anatomie Pathologique, CHU, Caen, France # Correspondence and copy request: Catherine Baugé, [email protected], EA4652 MILPAT, UFR de médecine, Université de Caen Basse-Normandie, CS14032 Caen cedex 5, France; tel: +33 231068218; fax: +33 231068224 1 ABSTRACT Posttranslational modifications of histones (so-called epigenetic modifications) play a major role in transcriptional control and normal development, and are tightly regulated. Disruption of their control is a frequent event in disease. Particularly, the methylation of lysine 27 on histone H3 (H3K27), induced by the methylase Enhancer of Zeste homolog 2 (EZH2), emerges as a key control of gene expression, and a major regulator of cell physiology. The identification of driver mutations in EZH2 has already led to new prognostic and therapeutic advances, and new classes of potent and specific inhibitors for EZH2 show promising results in preclinical trials. This review examines roles of histone lysine methylases and demetylases in cells, and focuses on the recent knowledge and developments about EZH2. Key-terms: epigenetic, histone methylation, EZH2, cancerology, tumors, apoptosis, cell death, inhibitor, stem cells, H3K27 2 Histone modifications and histone code Epigenetic has been defined as inheritable changes in gene expression that occur without a change in DNA sequence. Key components of epigenetic processes are DNA methylation, histone modifications and variants, non-histone chromatin proteins, small interfering RNA (siRNA) and micro RNA (miRNA). -
Identifying and Exploiting Gene-Pathway Interactions from RNA-Seq Data for Binary Phenotype Fang Shao1, Yaqi Wang2, Yang Zhao1 and Sheng Yang1*
Shao et al. BMC Genetics (2019) 20:36 https://doi.org/10.1186/s12863-019-0739-7 METHODOLOGYARTICLE Open Access Identifying and exploiting gene-pathway interactions from RNA-seq data for binary phenotype Fang Shao1, Yaqi Wang2, Yang Zhao1 and Sheng Yang1* Abstract Background: RNA sequencing (RNA-seq) technology has identified multiple differentially expressed (DE) genes associated to complex disease, however, these genes only explain a modest part of variance. Omnigenic model assumes that disease may be driven by genes with indirect relevance to disease and be propagated by functional pathways. Here, we focus on identifying the interactions between the external genes and functional pathways, referring to gene-pathway interactions (GPIs). Specifically, relying on the relationship between the garrote kernel machine (GKM) and variance component test and permutations for the empirical distributions of score statistics, we propose an efficient analysis procedure as Permutation based gEne-pAthway interaction identification in binary phenotype (PEA). Results: Various simulations show that PEA has well-calibrated type I error rates and higher power than the traditional likelihood ratio test (LRT). In addition, we perform the gene set enrichment algorithms and PEA to identifying the GPIs from a pan-cancer data (GES68086). These GPIs and genes possibly further illustrate the potential etiology of cancers, most of which are identified and some external genes and significant pathways are consistent with previous studies. Conclusions: PEA is an efficient tool for identifying the GPIs from RNA-seq data. It can be further extended to identify the interactions between one variable and one functional set of other omics data for binary phenotypes. -
Engaging Chromatin: PRC2 Structure Meets Function
www.nature.com/bjc REVIEW ARTICLE Engaging chromatin: PRC2 structure meets function Paul Chammas1, Ivano Mocavini1 and Luciano Di Croce1,2,3 Polycomb repressive complex 2 (PRC2) is a key epigenetic multiprotein complex involved in the regulation of gene expression in metazoans. PRC2 is formed by a tetrameric core that endows the complex with histone methyltransferase activity, allowing it to mono-, di- and tri-methylate histone H3 on lysine 27 (H3K27me1/2/3); H3K27me3 is a hallmark of facultative heterochromatin. The core complex of PRC2 is bound by several associated factors that are responsible for modulating its targeting specificity and enzymatic activity. Depletion and/or mutation of the subunits of this complex can result in severe developmental defects, or even lethality. Furthermore, mutations of these proteins in somatic cells can be drivers of tumorigenesis, by altering the transcriptional regulation of key tumour suppressors or oncogenes. In this review, we present the latest results from structural studies that have characterised PRC2 composition and function. We compare this information with data and literature for both gain-of function and loss-of-function missense mutations in cancers to provide an overview of the impact of these mutations on PRC2 activity. British Journal of Cancer (2020) 122:315–328; https://doi.org/10.1038/s41416-019-0615-2 BACKGROUND and embryonic ectoderm development (EED) (Table 1). These Transcriptional diversity is one of the hallmarks of cellular three proteins form the minimal core that confers histone identity. It is largely regulated at the level of chromatin, where methyltransferase (HMT) activity. A fourth factor, retinoblastoma- different protein complexes act as initiators, enhancers and/or binding protein (RBBP)4/7 (also known as RBAP48/46), has a repressors of transcription.