From Structure to Mechanism—Understanding Initiation of DNA Replication
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Functional Roles of Bromodomain Proteins in Cancer
cancers Review Functional Roles of Bromodomain Proteins in Cancer Samuel P. Boyson 1,2, Cong Gao 3, Kathleen Quinn 2,3, Joseph Boyd 3, Hana Paculova 3 , Seth Frietze 3,4,* and Karen C. Glass 1,2,4,* 1 Department of Pharmaceutical Sciences, Albany College of Pharmacy and Health Sciences, Colchester, VT 05446, USA; [email protected] 2 Department of Pharmacology, Larner College of Medicine, University of Vermont, Burlington, VT 05405, USA; [email protected] 3 Department of Biomedical and Health Sciences, University of Vermont, Burlington, VT 05405, USA; [email protected] (C.G.); [email protected] (J.B.); [email protected] (H.P.) 4 University of Vermont Cancer Center, Burlington, VT 05405, USA * Correspondence: [email protected] (S.F.); [email protected] (K.C.G.) Simple Summary: This review provides an in depth analysis of the role of bromodomain-containing proteins in cancer development. As readers of acetylated lysine on nucleosomal histones, bromod- omain proteins are poised to activate gene expression, and often promote cancer progression. We examined changes in gene expression patterns that are observed in bromodomain-containing proteins and associated with specific cancer types. We also mapped the protein–protein interaction network for the human bromodomain-containing proteins, discuss the cellular roles of these epigenetic regu- lators as part of nine different functional groups, and identify bromodomain-specific mechanisms in cancer development. Lastly, we summarize emerging strategies to target bromodomain proteins in cancer therapy, including those that may be essential for overcoming resistance. Overall, this review provides a timely discussion of the different mechanisms of bromodomain-containing pro- Citation: Boyson, S.P.; Gao, C.; teins in cancer, and an updated assessment of their utility as a therapeutic target for a variety of Quinn, K.; Boyd, J.; Paculova, H.; cancer subtypes. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Pan-Cancer Analysis of Alternative Lengthening of Telomere Activity
cancers Article Pan-Cancer Analysis of Alternative Lengthening of Telomere Activity Ji-Yong Sung 1,2, Hee-Woong Lim 3, Je-Gun Joung 1,* and Woong-Yang Park 1,2,4,* 1 Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea; [email protected] 2 Department of Health Science and Technology, Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul 06351, Korea 3 Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA; [email protected] 4 Department of Molecular Cell Biology, School of Medicine, Sungkyunkwan University, Seoul 06351, Korea * Correspondence: [email protected] (J.-G.J.); [email protected] (W.-Y.P.); Tel.: +82-2-3410-1706 (J.-G.J.); +82-2-3410-6128 (W.-Y.P.); Fax: +82-2-2148-9819 (W.-Y.P.) Received: 30 June 2020; Accepted: 5 August 2020; Published: 7 August 2020 Abstract: Alternative lengthening of telomeres (ALT) is a telomerase-independent mechanism that extends telomeres in cancer cells. It influences tumorigenesis and patient survival. Despite the clinical significance of ALT in tumors, the manner in which ALT is activated and influences prognostic outcomes in distinct cancer types is unclear. In this work, we profiled distinct telomere maintenance mechanisms (TMMs) using 8953 transcriptomes of 31 different cancer types from The Cancer Genome Atlas (TCGA). Our results demonstrated that approximately 29% of cancer types display high ALT activity with low telomerase activity in the telomere-lengthening group. Among the distinct ALT mechanisms, homologous recombination was frequently observed in sarcoma, adrenocortical carcinoma, and kidney chromophobe. Five cancer types showed a significant difference in survival in the presence of high ALT activity. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Minichromosome Maintenance Proteins Are Direct Targets of the ATM and ATR Checkpoint Kinases
Minichromosome maintenance proteins are direct targets of the ATM and ATR checkpoint kinases David Cortez*†, Gloria Glick*, and Stephen J. Elledge‡§ *Department of Biochemistry, Vanderbilt University, Nashville, TN 37232; and ‡Department of Genetics, Center for Genetics and Genomics, and Howard Hughes Medical Institute, Harvard University Medical School, Boston, MA 02115 Contributed by Stephen J. Elledge, May 13, 2004 The minichromosome maintenance (MCM) 2-7 helicase complex unclear how they could be reassembled because replication functions to initiate and elongate replication forks. Cell cycle licensing is not allowed once S phase has begun (26). Continued checkpoint signaling pathways regulate DNA replication to main- MCM activity at a stalled replication fork may also be delete- tain genomic stability. We describe four lines of evidence that rious because it would expose extensive regions of single- ATM/ATR-dependent (ataxia-telangiectasia-mutated͞ATM- and stranded DNA, precisely the phenotype observed in S. cerevisiae Rad3-related) checkpoint pathways are directly linked to three checkpoint mutants treated with hydroxyurea (HU) (9). Fur- members of the MCM complex. First, ATM phosphorylates MCM3 thermore, short stretches of single-stranded DNA that might on S535 in response to ionizing radiation. Second, ATR phosphor- accumulate at stalled forks because of MCM action may be ylates MCM2 on S108 in response to multiple forms of DNA damage essential to recruiting the ATR-ATRIP complex and activating and stalling of replication forks. Third, ATR-interacting protein the S-phase checkpoint. In this study, we found four direct (ATRIP)-ATR interacts with MCM7. Fourth, reducing the amount of connections between the ATR͞ATM checkpoint pathways and MCM7 in cells disrupts checkpoint signaling and causes an intra- the MCM proteins. -
Cell Growth-Regulated Expression of Mammalian MCM5 and MCM6 Genes Mediated by the Transcription Factor E2F
Oncogene (1999) 18, 2299 ± 2309 ã 1999 Stockton Press All rights reserved 0950 ± 9232/99 $12.00 http://www.stockton-press.co.uk/onc Cell growth-regulated expression of mammalian MCM5 and MCM6 genes mediated by the transcription factor E2F Kiyoshi Ohtani1, Ritsuko Iwanaga1, Masataka Nakamura*,1, Masa-aki Ikeda2, Norikazu Yabuta3, Hiromichi Tsuruga3 and Hiroshi Nojima3 1Human Gene Sciences Center, Tokyo Medical and Dental University, Tokyo 113-8510, Japan 2Department of Developmental Biology, Graduate School of Dentistry, Tokyo Medical and Dental University, Tokyo 113-8549, Japan; 3Department of Molecular Genetics, Research Institute for Microbial Diseases, Osaka University, Suita 565-0871, Japan Initiation of DNA replication requires the function of family (MCM2-7) that have been identi®ed in yeast, MCM gene products, which participate in ensuring that Xenopus, and human. Mcm proteins seem to regulate DNA replication occurs only once in the cell cycle. the initiation at the replication origin where the loading Expression of all mammalian genes of the MCM family of the proteins onto the origin recognition complex is induced by growth stimulation, unlike yeast, and the (ORC) is regulated by Cdc6 and cyclin-dependent mRNA levels peak at G1/S boundary. In this study, we kinases (Donovan et al., 1997; Tanaka et al., 1997). examined the transcriptional activities of isolated human However, the mechanism(s) by which Mcm proteins MCM gene promoters. Human MCM5 and MCM6 control the initiation of DNA replication remains promoters with mutation in the E2F sites failed in unclear. promoter regulation following serum stimulation and Xenopus Mcm proteins seem to be able to access exogenous E2F expression. -
Identification of Conserved Genes Triggering Puberty in European Sea
Blázquez et al. BMC Genomics (2017) 18:441 DOI 10.1186/s12864-017-3823-2 RESEARCHARTICLE Open Access Identification of conserved genes triggering puberty in European sea bass males (Dicentrarchus labrax) by microarray expression profiling Mercedes Blázquez1,2* , Paula Medina1,2,3, Berta Crespo1,4, Ana Gómez1 and Silvia Zanuy1* Abstract Background: Spermatogenesisisacomplexprocesscharacterized by the activation and/or repression of a number of genes in a spatio-temporal manner. Pubertal development in males starts with the onset of the first spermatogenesis and implies the division of primary spermatogonia and their subsequent entry into meiosis. This study is aimed at the characterization of genes involved in the onset of puberty in European sea bass, and constitutes the first transcriptomic approach focused on meiosis in this species. Results: European sea bass testes collected at the onset of puberty (first successful reproduction) were grouped in stage I (resting stage), and stage II (proliferative stage). Transition from stage I to stage II was marked by an increase of 11ketotestosterone (11KT), the main fish androgen, whereas the transcriptomic study resulted in 315 genes differentially expressed between the two stages. The onset of puberty induced 1) an up-regulation of genes involved in cell proliferation, cell cycle and meiosis progression, 2) changes in genes related with reproduction and growth, and 3) a down-regulation of genes included in the retinoic acid (RA) signalling pathway. The analysis of GO-terms and biological pathways showed that cell cycle, cell division, cellular metabolic processes, and reproduction were affected, consistent with the early events that occur during the onset of puberty. -
Supplementary Table S5. Differentially Expressed Gene Lists of PD-1High CD39+ CD8 Tils According to 4-1BB Expression Compared to PD-1+ CD39- CD8 Tils
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Immunother Cancer Supplementary Table S5. Differentially expressed gene lists of PD-1high CD39+ CD8 TILs according to 4-1BB expression compared to PD-1+ CD39- CD8 TILs Up- or down- regulated genes in Up- or down- regulated genes Up- or down- regulated genes only PD-1high CD39+ CD8 TILs only in 4-1BBneg PD-1high CD39+ in 4-1BBpos PD-1high CD39+ CD8 compared to PD-1+ CD39- CD8 CD8 TILs compared to PD-1+ TILs compared to PD-1+ CD39- TILs CD39- CD8 TILs CD8 TILs IL7R KLRG1 TNFSF4 ENTPD1 DHRS3 LEF1 ITGA5 MKI67 PZP KLF3 RYR2 SIK1B ANK3 LYST PPP1R3B ETV1 ADAM28 H2AC13 CCR7 GFOD1 RASGRP2 ITGAX MAST4 RAD51AP1 MYO1E CLCF1 NEBL S1PR5 VCL MPP7 MS4A6A PHLDB1 GFPT2 TNF RPL3 SPRY4 VCAM1 B4GALT5 TIPARP TNS3 PDCD1 POLQ AKAP5 IL6ST LY9 PLXND1 PLEKHA1 NEU1 DGKH SPRY2 PLEKHG3 IKZF4 MTX3 PARK7 ATP8B4 SYT11 PTGER4 SORL1 RAB11FIP5 BRCA1 MAP4K3 NCR1 CCR4 S1PR1 PDE8A IFIT2 EPHA4 ARHGEF12 PAICS PELI2 LAT2 GPRASP1 TTN RPLP0 IL4I1 AUTS2 RPS3 CDCA3 NHS LONRF2 CDC42EP3 SLCO3A1 RRM2 ADAMTSL4 INPP5F ARHGAP31 ESCO2 ADRB2 CSF1 WDHD1 GOLIM4 CDK5RAP1 CD69 GLUL HJURP SHC4 GNLY TTC9 HELLS DPP4 IL23A PITPNC1 TOX ARHGEF9 EXO1 SLC4A4 CKAP4 CARMIL3 NHSL2 DZIP3 GINS1 FUT8 UBASH3B CDCA5 PDE7B SOGA1 CDC45 NR3C2 TRIB1 KIF14 TRAF5 LIMS1 PPP1R2C TNFRSF9 KLRC2 POLA1 CD80 ATP10D CDCA8 SETD7 IER2 PATL2 CCDC141 CD84 HSPA6 CYB561 MPHOSPH9 CLSPN KLRC1 PTMS SCML4 ZBTB10 CCL3 CA5B PIP5K1B WNT9A CCNH GEM IL18RAP GGH SARDH B3GNT7 C13orf46 SBF2 IKZF3 ZMAT1 TCF7 NECTIN1 H3C7 FOS PAG1 HECA SLC4A10 SLC35G2 PER1 P2RY1 NFKBIA WDR76 PLAUR KDM1A H1-5 TSHZ2 FAM102B HMMR GPR132 CCRL2 PARP8 A2M ST8SIA1 NUF2 IL5RA RBPMS UBE2T USP53 EEF1A1 PLAC8 LGR6 TMEM123 NEK2 SNAP47 PTGIS SH2B3 P2RY8 S100PBP PLEKHA7 CLNK CRIM1 MGAT5 YBX3 TP53INP1 DTL CFH FEZ1 MYB FRMD4B TSPAN5 STIL ITGA2 GOLGA6L10 MYBL2 AHI1 CAND2 GZMB RBPJ PELI1 HSPA1B KCNK5 GOLGA6L9 TICRR TPRG1 UBE2C AURKA Leem G, et al. -
ORC3 (1D6): Sc-23888
SANTA CRUZ BIOTECHNOLOGY, INC. ORC3 (1D6): sc-23888 BACKGROUND STORAGE The initiation of DNA replication is a multi-step process that depends on the Store at 4° C, **DO NOT FREEZE**. Stable for one year from the date of formation of pre-replication complexes, which trigger initiation. Among the shipment. Non-hazardous. No MSDS required. proteins required for establishing these complexes are the origin recognition complex (ORC) proteins. ORC proteins bind specifically to origins of replication DATA where they serve as scaffold for the assembly of additional initiation factors. A B Human ORC subunits 1-6 are expressed in the nucleus of proliferating cells AB C DE and tissues, such as the testis. ORC1 and ORC2 are both expressed at equiv- 113 K – 89 K – alent concentrations throughout the cell cycle; however, only ORC2 remains < ORC3 stably bound to chromatin. ORC4 and ORC6 are also expressed constantly throughout the cell cycle. ORC2, ORC3, ORC4 and ORC5 form a core complex 49 K – upon which ORC6 and ORC1 assemble. The formation of this core complex suggests that ORC proteins play a crucial role in the G1-S transition in mam- malian cells. ORC3 (1D6): sc-23888. Western blot analysis of ORC3 ORC3 (1D6): sc-23888. Immunoperoxidase staining of expression in HeLa (A), Raji (B), Jurkat (C), WI-38 (D) formalin fixed, paraffin-embedded human ovary tissue CHROMOSOMAL LOCATION and A-549 (E) whole cell lysates. showing nuclear localization (A,B). Genetic locus: ORC3L (human) mapping to 6q15. SELECT PRODUCT CITATIONS SOURCE 1. Braden, W.A., et al. 2006. Distinct action of the retinoblastoma pathway ORC3 (1D6) is a rat monoclonal antibody raised against partially purified on the DNA replication machinery defines specific roles for cyclin-depen- His-tagged bacterially expressed fusion protein corresponding to human ORC3. -
Pul21a-Cyclin A2 Interaction Is Required to Protect Human Cytomegalovirus-Infected Cells from the Deleterious Consequences of Mitotic Entry
PUL21a-Cyclin A2 Interaction is Required to Protect Human Cytomegalovirus-Infected Cells from the Deleterious Consequences of Mitotic Entry Martin Eifler1¤a, Ralf Uecker1, Henry Weisbach1, Boris Bogdanow1¤b, Ellen Richter1¤c, Lydia Ko¨ nig1, Barbara Vetter1, Tihana Lenac-Rovis2, Stipan Jonjic2, Heidemarie Neitzel3, Christian Hagemeier1*, Lu¨ der Wiebusch1* 1 Labor fu¨rPa¨diatrische Molekularbiologie, Charite´ Universita¨tsmedizin Berlin, Berlin, Germany, 2 Center for Proteomics, Faculty of Medicine, University of Rijeka, Rijeka, Croatia, 3 Institut fu¨r Medizinische Genetik und Humangenetik, Charite´ Universita¨tsmedizin Berlin, Berlin, Germany Abstract Entry into mitosis is accompanied by dramatic changes in cellular architecture, metabolism and gene expression. Many viruses have evolved cell cycle arrest strategies to prevent mitotic entry, presumably to ensure sustained, uninterrupted viral replication. Here we show for human cytomegalovirus (HCMV) what happens if the viral cell cycle arrest mechanism is disabled and cells engaged in viral replication enter into unscheduled mitosis. We made use of an HCMV mutant that, due to a defective Cyclin A2 binding motif in its UL21a gene product (pUL21a), has lost its ability to down-regulate Cyclin A2 and, therefore, to arrest cells at the G1/S transition. Cyclin A2 up-regulation in infected cells not only triggered the onset of cellular DNA synthesis, but also promoted the accumulation and nuclear translocation of Cyclin B1-CDK1, premature chromatin condensation and mitotic entry. The infected cells were able to enter metaphase as shown by nuclear lamina disassembly and, often irregular, metaphase spindle formation. However, anaphase onset was blocked by the still intact anaphase promoting complex/cyclosome (APC/C) inhibitory function of pUL21a. -
Systemic Analysis of the DNA Replication Regulators Origin Recognition Complex in Lung Adenocarcinomas Identifes Prognostic and Expression Signifcance
Systemic Analysis of the DNA Replication Regulators Origin Recognition Complex in Lung Adenocarcinomas Identies Prognostic and Expression Signicance Juan Chen University of South China Juan Zou University of South China Juan Zeng University of South China Tian Zeng University of South China Qi-hao Hu University of South China Jun-hui Bai University of South China Min Tang University of South China Yu-kun Li ( [email protected] ) University of South China https://orcid.org/0000-0002-8517-9075 Primary research Keywords: lung adenocarcinomas, ORC complex, public databases, prognostic value, comprehensive bioinformatics Posted Date: May 11th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-487176/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/24 Abstract Background: Origin recognition complex (ORC) 1, ORC2, ORC3, ORC4, ORC5 and ORC6, form a replication- initiator complex to mediate DNA replication, which play a key role in carcinogenesis, while their role in lung adenocarcinomas (LUAD) remains poorly understood. Methods: We conrmed the transcriptional and post-transcriptional levels, DNA alteration, DNA methylation, miRNA network, protein structure, PPI network, functional enrichment, immune inltration and prognostic value of ORCs in LUAD based on Oncomine, GEPIA, HPA, cBioportal, TCGA, GeneMANIA, Metascape, KM-plot, GENT2, and TIMER database. Results: ORC mRNA and protein were both enhanced obviously based on Oncomine, Ualcan, GEPIA, TCGA and HPA database. Furthermore, ORC1 and ORC6 have signicant prognostic values for LUAD patients based on GEPIA database. Protein structure, PPI network, functional enrichment and immune inltration analysis indicated that ORC complex cooperatively accelerate the LUAD development by promoting DNA replication, cellular senescence and metabolic process. -
Bioinformatics-Based Screening of Key Genes for Transformation of Liver
Jiang et al. J Transl Med (2020) 18:40 https://doi.org/10.1186/s12967-020-02229-8 Journal of Translational Medicine RESEARCH Open Access Bioinformatics-based screening of key genes for transformation of liver cirrhosis to hepatocellular carcinoma Chen Hao Jiang1,2, Xin Yuan1,2, Jiang Fen Li1,2, Yu Fang Xie1,2, An Zhi Zhang1,2, Xue Li Wang1,2, Lan Yang1,2, Chun Xia Liu1,2, Wei Hua Liang1,2, Li Juan Pang1,2, Hong Zou1,2, Xiao Bin Cui1,2, Xi Hua Shen1,2, Yan Qi1,2, Jin Fang Jiang1,2, Wen Yi Gu4, Feng Li1,2,3 and Jian Ming Hu1,2* Abstract Background: Hepatocellular carcinoma (HCC) is the most common type of liver tumour, and is closely related to liver cirrhosis. Previous studies have focussed on the pathogenesis of liver cirrhosis developing into HCC, but the molecular mechanism remains unclear. The aims of the present study were to identify key genes related to the transformation of cirrhosis into HCC, and explore the associated molecular mechanisms. Methods: GSE89377, GSE17548, GSE63898 and GSE54236 mRNA microarray datasets from Gene Expression Omni- bus (GEO) were analysed to obtain diferentially expressed genes (DEGs) between HCC and liver cirrhosis tissues, and network analysis of protein–protein interactions (PPIs) was carried out. String and Cytoscape were used to analyse modules and identify hub genes, Kaplan–Meier Plotter and Oncomine databases were used to explore relationships between hub genes and disease occurrence, development and prognosis of HCC, and the molecular mechanism of the main hub gene was probed using Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis.