EZH2: Not EZHY (Easy) to Deal
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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. -
Dna Methylation Post Transcriptional Modification
Dna Methylation Post Transcriptional Modification Blistery Benny backbiting her tug-of-war so protectively that Scot barrel very weekends. Solanaceous and unpossessing Eric pubes her creatorships abrogating while Raymundo bereave some limitations demonstrably. Clair compresses his catchings getter epexegetically or epidemically after Bernie vitriols and piffling unchangeably, hypognathous and nourishing. To explore quantitative and dynamic properties of transcriptional regulation by. MeSH Cochrane Library. In revere last check of man series but left house with various gene expression profile of the effect of. Moreover interpretation of transcriptional changes during COVID-19 has been. In transcriptional modification by post transcriptional repression and posted by selective breeding industry: patterns of dna methylation during gc cells and the study of dna. DNA methylation regulates transcriptional homeostasis of. Be local in two ways Post Translational Modifications of amino acid residues of histone. International journal of cyclic gmp in a chromatin dynamics: unexpected results in alternative splicing of reusing and diagnosis of dmrs has been identified using whole process. Dam in dna methylation to violent outbursts that have originated anywhere in england and post transcriptional gene is regulated at the content in dna methylation post transcriptional modification of. A seven sample which customers post being the dtc company for analysis. Fei zhao y, methylation dynamics and modifications on lysine is an essential that. Tag-based our Generation Sequencing. DNA methylation and histone modifications as epigenetic. Thc content of. Lysine methylation has been involved in both transcriptional activation H3K4. For instance aberrance of DNA methylation andor demethylation has been. Chromosome conformation capture from 3C to 5C and will ChIP-based modification. -
Interplay Between Epigenetics and Metabolism in Oncogenesis: Mechanisms and Therapeutic Approaches
OPEN Oncogene (2017) 36, 3359–3374 www.nature.com/onc REVIEW Interplay between epigenetics and metabolism in oncogenesis: mechanisms and therapeutic approaches CC Wong1, Y Qian2,3 and J Yu1 Epigenetic and metabolic alterations in cancer cells are highly intertwined. Oncogene-driven metabolic rewiring modifies the epigenetic landscape via modulating the activities of DNA and histone modification enzymes at the metabolite level. Conversely, epigenetic mechanisms regulate the expression of metabolic genes, thereby altering the metabolome. Epigenetic-metabolomic interplay has a critical role in tumourigenesis by coordinately sustaining cell proliferation, metastasis and pluripotency. Understanding the link between epigenetics and metabolism could unravel novel molecular targets, whose intervention may lead to improvements in cancer treatment. In this review, we summarized the recent discoveries linking epigenetics and metabolism and their underlying roles in tumorigenesis; and highlighted the promising molecular targets, with an update on the development of small molecule or biologic inhibitors against these abnormalities in cancer. Oncogene (2017) 36, 3359–3374; doi:10.1038/onc.2016.485; published online 16 January 2017 INTRODUCTION metabolic genes have also been identified as driver genes It has been appreciated since the early days of cancer research mutated in some cancers, such as isocitrate dehydrogenase 1 16 17 that the metabolic profiles of tumor cells differ significantly from and 2 (IDH1/2) in gliomas and acute myeloid leukemia (AML), 18 normal cells. Cancer cells have high metabolic demands and they succinate dehydrogenase (SDH) in paragangliomas and fuma- utilize nutrients with an altered metabolic program to support rate hydratase (FH) in hereditary leiomyomatosis and renal cell 19 their high proliferative rates and adapt to the hostile tumor cancer (HLRCC). -
The Yin and Yang of Enhancer–Promoter Interactions
RESEARCH HIGHLIGHTS Nature Reviews Molecular Cell Biology | Published online 20 Dec 2017; doi:10.1038/nrm.2017.136 GENE EXPRESSION in the promoters of two genes resulted in reduced YY1 binding, reduced contact frequency between the pro- The yin and yang of enhancer– moters and their cognate enhancers and, in one of the genes, reduced expression. The lack of reduced promoter interactions expression of one of the genes was probably due to YY1 binding at Transcription factors can facilitate the could bind to these elements and facil- other, less optimal motifs; indeed, physical interaction between enhanc- itate their interaction. They identified YY1 depletion resulted in decreased ers and promoters and looping of deletion of another zinc finger protein, YY1, expression of both genes. the intervening DNA between them. YY1 binding which, like CTCF, is essential for cell Next, using an inducible protein Such loops are formed within larger, viability and is ubiquitously expressed. degradation system, the genome-wide insulated chromosomal loops (also motifs… Importantly, co- immunoprecipitation effects of YY1 depletion were meas- known as topologically associating reduced of differentially tagged YY1 proteins ured. The expression of thousands domains (TADs)), which are formed contact confirmed that YY1 can form of genes was changed (increased or by dimerization of the zinc finger frequency homodimers. decreased), and in general the genes protein CTCF bound to chromatin. In various mouse and human cell with the greatest changes following Weintraub et al. now show that, anal- between the types, YY1 occupied enhancers and YY1 depletion were those with ogously to CTCF, the protein yin and promoters and promoters genome-wide. -
A Curated Benchmark of Enhancer-Gene Interactions for Evaluating Enhancer-Target Gene Prediction Methods
University of Massachusetts Medical School eScholarship@UMMS Open Access Articles Open Access Publications by UMMS Authors 2020-01-22 A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods Jill E. Moore University of Massachusetts Medical School Et al. Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/oapubs Part of the Bioinformatics Commons, Computational Biology Commons, Genetic Phenomena Commons, and the Genomics Commons Repository Citation Moore JE, Pratt HE, Purcaro MJ, Weng Z. (2020). A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods. Open Access Articles. https://doi.org/10.1186/ s13059-019-1924-8. Retrieved from https://escholarship.umassmed.edu/oapubs/4118 Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 License. This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Open Access Articles by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. Moore et al. Genome Biology (2020) 21:17 https://doi.org/10.1186/s13059-019-1924-8 RESEARCH Open Access A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods Jill E. Moore, Henry E. Pratt, Michael J. Purcaro and Zhiping Weng* Abstract Background: Many genome-wide collections of candidate cis-regulatory elements (cCREs) have been defined using genomic and epigenomic data, but it remains a major challenge to connect these elements to their target genes. Results: To facilitate the development of computational methods for predicting target genes, we develop a Benchmark of candidate Enhancer-Gene Interactions (BENGI) by integrating the recently developed Registry of cCREs with experimentally derived genomic interactions. -
An HMG I/Y-Containing Repressor Complex and Supercolled DNA Topology Are Critical for Long-Range Enhancer-Dependent Transcription in Vitro
Downloaded from genesdev.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press An HMG I/Y-containing repressor complex and supercolled DNA topology are critical for long-range enhancer-dependent transcription in vitro Rajesh Bagga and Beverly M. Emerson 1 Regulatory Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, California 92037 USA The 3' enhancer of the T cell receptor s.chain (TCR~) gene directs the tissue- and stage-specific expression and V(D)Jrecombination of this gene locus. Using an in vitro system that reproduces TCRoL enhancer activity efficiently, we show that long-range promoter-enhancer regulation requires a T cell-specific repressor complex and is sensitive to DNA topology. In this system, the enhancer functions to derepress the promoter on supercoiled, but not relaxed, templates. We find that the TCRoL promoter is inactivated by a repressor complex that contains the architectural protein HMG I/Y. In the absence of this repressor complex, expression of the TCR~ gene is completely independent of the 3' enhancer and DNA topology. The interaction of the T cell-restricted protein LEF-1 with the TCR~ enhancer is required for promoter derepression. In this system, the TCR~ enhancer increases the number of active promoters rather than the rate of transcription. Thus, long-range enhancers function in a distinct manner from promoters and provide the regulatory link between repressors, DNA topology, and gene activity. [Key Words: TCR genes; transcription; enhancers; HMG I/Y; derepression; DNA topology] Received December 27, 1996; revised version accepted January 14, 1997. The widespread importance of long-range promoter- Giaever 1988; Rippe et al. -
DNA Methylation, Imprinting and Cancer
European Journal of Human Genetics (2002) 10, 6±16 ã 2002 Nature Publishing Group All rights reserved 1018-4813/02 $25.00 www.nature.com/ejhg REVIEW DNA methylation, imprinting and cancer Christoph Plass*,1 and Paul D Soloway*,2 1Division of Human Cancer Genetics and the Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, OH 43210, USA; 2Department of Molecular and Cellular Biology, Roswell Park Cancer Institute, Buffalo, New York, NY 14263, USA It is well known that a variety of genetic changes influence the development and progression of cancer. These changes may result from inherited or spontaneous mutations that are not corrected by repair mechanisms prior to DNA replication. It is increasingly clear that so called epigenetic effects that do not affect the primary sequence of the genome also play an important role in tumorigenesis. This was supported initially by observations that cancer genomes undergo changes in their methylation state and that control of parental allele-specific methylation and expression of imprinted loci is lost in several cancers. Many loci acquiring aberrant methylation in cancers have since been identified and shown to be silenced by DNA methylation. In many cases, this mechanism of silencing inactivates tumour suppressors as effectively as frank mutation and is one of the cancer-predisposing hits described in Knudson's two hit hypothesis. In contrast to mutations which are essentially irreversible, methylation changes are reversible, raising the possibility of developing therapeutics based on restoring the normal methylation state to cancer-associated genes. Development of such therapeutics will require identifying loci undergoing methylation changes in cancer, understanding how their methylation influences tumorigenesis and identifying the mechanisms regulating the methylation state of the genome. -
REVIEW Chromatin Modifications and DNA Double-Strand Breaks
Leukemia (2007) 21, 195–200 & 2007 Nature Publishing Group All rights reserved 0887-6924/07 $30.00 www.nature.com/leu REVIEW Chromatin modifications and DNA double-strand breaks: the current state of play TC Karagiannis1,2 and A El-Osta3 1Molecular Radiation Biology, Trescowthick Research Laboratories, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia; 2Department of Pathology, The University of Melbourne, Parkville, Melbourne, Victoria, Australia and 3Epigenetics in Human Health and Disease, Baker Medical Research Institute, The Alfred Medical Research and Education Precinct, Prahran, Victoria, Australia The packaging and compaction of DNA into chromatin is mutated (ATM) and ataxia telangiectasia-related (also known as important for all DNA-metabolism processes such as transcrip- Rad3-related, ATR), which are members of the phosphoinositide tion, replication and repair. The involvement of chromatin 4,5 modifications in transcriptional regulation is relatively well 3-kinase (PI(3)K) superfamily. They catalyse the phosphoryla- characterized, and the distinct patterns of chromatin transitions tion of numerous downstream substrates that are involved in 4,5 that guide the process are thought to be the result of a code on cell-cycle regulation, DNA repair and apoptosis. the histone proteins (histone code). In contrast to transcription, In mammalian cells, DSBs are repaired by one of two distinct the intricate link between chromatin and responses to DNA and complementary pathways – homologous recombination damage has been given attention only recently. It is now (HR) and non-homologous end-joining (NHEJ).6,7 Briefly, NHEJ emerging that specific ATP-dependent chromatin remodeling involves processing of the broken DNA terminii to make them complexes (including the Ino80, Swi/Snf and RSC remodelers) 3 and certain constitutive (methylation of lysine 79 of histone H3) compatible, followed by a ligation step. -
Annotated Classic Histone Code and Transcription
Annotated Classic Histone Code and Transcription Jerry L. Workman1,* 1Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, MO 64110, USA *Correspondence: [email protected] We are pleased to present a series of Annotated Classics celebrating 40 years of exciting biology in the pages of Cell. This install- ment revisits “Tetrahymena Histone Acetyltransferase A: A Homolog to Yeast Gcn5p Linking Histone Acetylation to Gene Activa- tion” by C. David Allis and colleagues. Here, Jerry Workman comments on how the discovery of Tetrahymena histone acetyltrans- ferase A, a homolog to a yeast transcriptional adaptor Gcn5p, by Allis led to the establishment of links between histone acetylation and gene activation. Each Annotated Classic offers a personal perspective on a groundbreaking Cell paper from a leader in the field with notes on what stood out at the time of first reading and retrospective comments regarding the longer term influence of the work. To see Jerry L. Workman’s thoughts on different parts of the manuscript, just download the PDF and then hover over or double- click the highlighted text and comment boxes on the following pages. You can also view Workman’s annotation by opening the Comments navigation panel in Acrobat. Cell 158, August 14, 2014, 2014 ©2014 Elsevier Inc. Cell, Vol. 84, 843±851, March 22, 1996, Copyright 1996 by Cell Press Tetrahymena Histone Acetyltransferase A: A Homolog to Yeast Gcn5p Linking Histone Acetylation to Gene Activation James E. Brownell,* Jianxin Zhou,* Tamara Ranalli,* 1995; Edmondson et al., submitted). Thus, the regulation Ryuji Kobayashi,² Diane G. Edmondson,³ of histone acetylation is an attractive control point for Sharon Y. -
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