A Partially Disordered Region Connects Gene Repression and Activation Functions of EZH2
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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. -
Interaction and Functional Cooperation of the Cancer-Amplified Transcriptional Coactivator Activating Signal Cointegrator-2 and E2F-1 in Cell Proliferation
948 Vol. 1, 948–958, November 2003 Molecular Cancer Research Interaction and Functional Cooperation of the Cancer-Amplified Transcriptional Coactivator Activating Signal Cointegrator-2 and E2F-1 in Cell Proliferation Hee Jeong Kong,1 Hyun Jung Yu,2 SunHwa Hong,2 Min Jung Park,2 Young Hyun Choi,3 Won Gun An,4 Jae Woon Lee,5 and JaeHun Cheong2 1Laboratory of Molecular Growth Regulation, National Institute of Health, Bethesda, MD; 2Department of Molecular Biology, Pusan National University, Busan, Republic of Korea; 3Department of Biochemistry, College of Oriental Medicine, Dong-Eui University, Busan, Republic of Korea; 4Department of Biology, Kyungpook National University, DaeGu, Republic of Korea; and 5Department of Medicine/Endocrinology, Baylor College of Medicine Houston, TX. Abstract structure and recruitment of a transcription initiation complex Activating signal cointegrator-2 (ASC-2), a novel coac- containing RNA polymerase II to the promoter (1). Recent tivator, is amplified in several cancer cells and known to studies have shown that DNA-bound transcriptional activator interact with mitogenic transcription factors, including proteins accomplish these two tasks with the assistance of a serum response factor, activating protein-1, and nuclear class of proteins called transcriptional coactivators (2, 3). They factor-KB, suggesting the physiological role of ASC-2 in may be thought of as adaptors or components in a signaling the promotion of cell proliferation. Here, we show that pathway that transmits transcriptional activation signals from the expression pattern of ASC-2 was correlated with that DNA-bound activator proteins to the chromatin and transcrip- of E2F-1 for protein increases at G1 and S phase. -
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. -
Leukemia and Lymphoma: Molecular and Therapeutic Insights
This is a free sample of content from Leukemia and Lymphoma: Molecular and Therapeutic Insights. Click here for more information on how to buy the book. Index A PRPF8, 307 AA. See Aplastic anemia SF3B1, 307 ABL1, 347, 368–369 SRSF2, 307 ABL2, 369 SUZ12, 120 ABT-199, 368 TET2, 117, 119, 121, 305 ABT-731, 181 U2AF1, 307 ACIN1, 374 U2AF2, 307 Acute lymphocytic leukemia (ALL). See also B- ZRSR2, 307 progenitor acute lymphoblastic therapeutic targeting leukemia; T-cell acute lymphoblastic combination therapy, 123–124 leukemia histone epigenetic mechanisms, 121, 123 epidemiology specific epigenetic mechanisms, 121 adult, 32–33 induced pluripotent stem cell models, 257–259 pediatric, 29–30 leukemia stem cell studies. See Leukemia stem cell Acute megakaryoblastic leukemia (AMKL) model children without Down syndrome, 326–329 mouse models. See Mouse models Down syndrome association pathophysiology, 295–296 clinical and biological features, 324–325 recurrent mutations GATA1 CEBPA, 301–302 cooperation with trisomy genes, 323–324 GATA2, 302 mutations, 323 NPM1, 300–301 genetic susceptibility, 321–322 RUNX1, 301 transforming mutation acquisition, 325–326 signal transduction mutations overview, 319–320 CBL, 303 RNA-binding proteins, 153 FLT3, 302 Acute myeloid leukemia (AML) KIT, 302–303 chromosomal abnormalities KRAS, 303 core binding factor rearrangements, 296–297 NF1, 303–304 KMT2A rearrangements, 298–299 NRAS, 303 rare translocations, 299–300 PTPN11, 303 clonal hematoipoiesis, 75 therapeutic targeting epidemiology CD123, 91–92 adult, 31–32 CD33, -
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. -
Original Article EP300 Regulates the Expression of Human Survivin Gene in Esophageal Squamous Cell Carcinoma
Int J Clin Exp Med 2016;9(6):10452-10460 www.ijcem.com /ISSN:1940-5901/IJCEM0023383 Original Article EP300 regulates the expression of human survivin gene in esophageal squamous cell carcinoma Xiaoya Yang, Zhu Li, Yintu Ma, Xuhua Yang, Jun Gao, Surui Liu, Gengyin Wang Department of Blood Transfusion, The Bethune International Peace Hospital of China PLA, Shijiazhuang 050082, Hebei, P. R. China Received January 6, 2016; Accepted March 21, 2016; Epub June 15, 2016; Published June 30, 2016 Abstract: Survivin is selectively up-regulated in various cancers including esophageal squamous cell carcinoma (ESCC). The underlying mechanism of survivin overexpression in cancers is needed to be further studied. In this study, we investigated the effect of EP300, a well known transcriptional coactivator, on survivin gene expression in human esophageal squamous cancer cell lines. We found that overexpression of EP300 was associated with strong repression of survivin expression at the mRNA and protein levels. Knockdown of EP300 increased the survivin ex- pression as indicated by western blotting and RT-PCR analysis. Furthermore, our results indicated that transcription- al repression mediated by EP300 regulates survivin expression levels via regulating the survivin promoter activity. Chromatin immunoprecipitation (ChIP) analysis revealed that EP300 was associated with survivin gene promoter. When EP300 was added to esophageal squamous cancer cells, increased EP300 association was observed at the survivin promoter. But the acetylation level of histone H3 at survivin promoter didn’t change after RNAi-depletion of endogenous EP300 or after overexpression of EP300. These findings establish a negative regulatory role for EP300 in survivin expression. Keywords: Survivin, EP300, transcription regulation, ESCC Introduction transcription factors and the basal transcrip- tion machinery, or by providing a scaffold for Survivin belongs to the inhibitor of apoptosis integrating a variety of different proteins [6]. -
Crystal Structure of the Bacteriophage T4 Late-Transcription Coactivator Gp33 with the Β-Subunit Flap Domain of Escherichia Coli RNA Polymerase
Crystal structure of the bacteriophage T4 late-transcription coactivator gp33 with the β-subunit flap domain of Escherichia coli RNA polymerase The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Twist, K.-A. F., E. A. Campbell, P. Deighan, S. Nechaev, V. Jain, E. P. Geiduschek, A. Hochschild, and S. A. Darst. 2011. “Crystal Structure of the Bacteriophage T4 Late-Transcription Coactivator gp33 with the -Subunit Flap Domain of Escherichia Coli RNA Polymerase.” Proceedings of the National Academy of Sciences 108 (50): 19961– 66. https://doi.org/10.1073/pnas.1113328108. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:41483152 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Crystal structure of the bacteriophage T4 late- transcription coactivator gp33 with the β-subunit flap domain of Escherichia coli RNA polymerase Kelly-Anne F. Twista,1, Elizabeth A. Campbella, Padraig Deighanb, Sergei Nechaevc,2, Vikas Jainc,3, E. Peter Geiduschekc, Ann Hochschildb, and Seth A. Darsta,4 aLaboratory of Molecular Biophysics, The Rockefeller University, 1230 York Avenue, New York, NY 10065; bDepartment of Microbiology and Immunobiology, Harvard Medical School, Boston, MA 02115; and cDivision of Biological Sciences, Section of Molecular Biology, University -
Preinitiation Complex
Science Highlight – June 2011 Transcription Starts Here: Structural Models of a “Minimal” Preinitiation Complex RNA polymerase II (pol II) plays a central role in the regulation of gene expression. Pol II is the enzyme responsible for synthesizing all the messenger RNA (mRNA) and most of the small nuclear RNA (snRNA) in eukaryotes. One of the key questions for transcription is how pol II decides where to start on the genomic DNA to specifically and precisely turn on a gene. This is achieved during transcription initiation by concerted actions of the core enzyme pol II and a myriad of transcription factors including five general transcription factors, known as TFIIB, -D, -E, -F, -H, which together form a giant transcription preinitiation complex on a promoter prior to transcription. One of the most prominent core promoter DNA elements is the TATA box, usually directing transcription of tissue-specific genes. TATA-box binding protein (TBP), a key component of TFIID, recognizes the TATA DNA sequence. Based on the previous crystallographic studies, the TATA box DNA is bent by nearly 90 degree through the binding of TBP (1). This striking structural feature is thought to serve as a physical landmark for the location of active genes on the genome. In addition, the location of the TATA box at least in part determines the transcription start site (TSS) in most eukaryotes, including humans. The distance between the TATA box and the TSS is conserved at around 30 base pairs. TBP does not contact pol II directly and the TATA-containing promoter must be directed to the core enzyme through another essential transcription factor TFIIB. -
Targets TFIID and TFIIA to Prevent Activated Transcription
Downloaded from genesdev.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press The mammalian transcriptional repressor RBP (CBF1) targets TFIID and TFIIA to prevent activated transcription Ivan Olave, Danny Reinberg,1 and Lynne D. Vales2 Department of Biochemistry and 1Howard Hughes Medical Institute, University of Medicine and Dentistry of New Jersey, Robert Wood Johnson Medical School, Piscataway, New Jersey 08854 USA RBP is a cellular protein that functions as a transcriptional repressor in mammalian cells. RBP has elicited great interest lately because of its established roles in regulating gene expression, in Drosophila and mouse development, and as a component of the Notch signal transduction pathway. This report focuses on the mechanism by which RBP represses transcription and thereby regulates expression of a relatively simple, but natural, promoter. The results show that, irrespective of the close proximity between RBP and other transcription factors bound to the promoter, RBP does not occlude binding by these other transcription factors. Instead, RBP interacts with two transcriptional coactivators: dTAFII110, a subunit of TFIID, and TFIIA to repress transcription. The domain of dTAFII110 targeted by RBP is the same domain that interacts with TFIIA, but is disparate from the domain that interacts with Sp1. Repression can be thwarted when stable transcription preinitiation complexes are formed before RBP addition, suggesting that RBP interaction with TFIIA and TFIID perturbs optimal interactions between these coactivators. Consistent with this, interaction between RBP and TFIIA precludes interaction with dTAFII110. This is the first report of a repressor specifically targeting these two coactivators to subvert activated transcription. [Key Words: RBP; transcriptional repression; TFIIA/TFIID targeting] Received November 17, 1997; revised version accepted April 1, 1998. -
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).