Specific Lid-Base Contacts in the 26S Proteasome Control The
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Overexpression of RPN2 Suppresses Radiosensitivity of Glioma Cells By
Li et al. Molecular Medicine (2020) 26:43 Molecular Medicine https://doi.org/10.1186/s10020-020-00171-5 RESEARCH ARTICLE Open Access Overexpression of RPN2 suppresses radiosensitivity of glioma cells by activating STAT3 signal transduction Changyu Li1†, Haonan Ran2†, Shaojun Song1, Weisong Liu3, Wenhui Zou1, Bei Jiang4, Hongmei Zhao5 and Bin Shao6* Abstract Background: Radiation therapy is the primary method of treatment for glioblastoma (GBM). Therefore, the suppression of radioresistance in GBM cells is of enormous significance. Ribophorin II (RPN2), a protein component of an N-oligosaccharyl transferase complex, has been associated with chemotherapy drug resistance in multiple cancers, including GBM. However, it remains unclear whether this also plays a role in radiation therapy resistance in GBM. Methods: We conducted a bioinformatic analysis of RPN2 expression using the UCSC Cancer Genomics Browser and GEPIA database and performed an immunohistochemical assessment of RPN2 expression in biopsy specimens from 34 GBM patients who had received radiation-based therapy. We also studied the expression and function of RPN2 in radiation-resistant GBM cells. Results: We found that RPN2 expression was upregulated in GBM tumors and correlated with poor survival. The expression of RPN2 was also higher in GBM patients with tumor recurrence, who were classified to be resistant to radiation therapy. In the radiation-resistant GBM cells, the expression of RPN2 was also higher than in the parental cells. Depletion of RPN2 in resistant cells can sensitize these cells to radiation-induced apoptosis, and overexpression of RPN2 had the reverse effect. Myeloid cell leukemia 1 (MCL1) was found to be the downstream target of RPN2, and contributed to radiation resistance in GBM cells. -
Supporting Information
Supporting Information Figure S1. The functionality of the tagged Arp6 and Swr1 was confirmed by monitoring cell growth and sensitivity to hydeoxyurea (HU). Five-fold serial dilutions of each strain were plated on YPD with or without 50 mM HU and incubated at 30°C or 37°C for 3 days. Figure S2. Localization of Arp6 and Swr1 on chromosome 3. The binding of Arp6-FLAG (top), Swr1-FLAG (middle), and Arp6-FLAG in swr1 cells (bottom) are compared. The position of Tel 3L, Tel 3R, CEN3, and the RP gene are shown under the panels. Figure S3. Localization of Arp6 and Swr1 on chromosome 4. The binding of Arp6-FLAG (top), Swr1-FLAG (middle), and Arp6-FLAG in swr1 cells (bottom) in the whole chromosome region are compared. The position of Tel 4L, Tel 4R, CEN4, SWR1, and RP genes are shown under the panels. Figure S4. Localization of Arp6 and Swr1 on the region including the SWR1 gene of chromosome 4. The binding of Arp6- FLAG (top), Swr1-FLAG (middle), and Arp6-FLAG in swr1 cells (bottom) are compared. The position and orientation of the SWR1 gene is shown. Figure S5. Localization of Arp6 and Swr1 on chromosome 5. The binding of Arp6-FLAG (top), Swr1-FLAG (middle), and Arp6-FLAG in swr1 cells (bottom) are compared. The position of Tel 5L, Tel 5R, CEN5, and the RP genes are shown under the panels. Figure S6. Preferential localization of Arp6 and Swr1 in the 5′ end of genes. Vertical bars represent the binding ratio of proteins in each locus. -
Atherosclerosis-Susceptible and Atherosclerosis-Resistant Pigeon Aortic Cells Express Different Genes in Vivo
University of New Hampshire University of New Hampshire Scholars' Repository New Hampshire Agricultural Experiment Station Publications New Hampshire Agricultural Experiment Station 7-1-2013 Atherosclerosis-susceptible and atherosclerosis-resistant pigeon aortic cells express different genes in vivo Janet L. Anderson University of New Hampshire, [email protected] C. M. Ashwell University of New Hampshire - Main Campus S. C. Smith University of New Hampshire - Main Campus R. Shine University of New Hampshire - Main Campus E. C. Smith University of New Hampshire - Main Campus See next page for additional authors Follow this and additional works at: https://scholars.unh.edu/nhaes Part of the Poultry or Avian Science Commons Recommended Citation J. L. Anderson, C. M. Ashwell, S. C. Smith, R. Shine, E. C. Smith and R. L. Taylor, Jr. Atherosclerosis- susceptible and atherosclerosis-resistant pigeon aortic cells express different genes in vivo Poultry Science (2013) 92 (10): 2668-2680 doi:10.3382/ps.2013-03306 This Article is brought to you for free and open access by the New Hampshire Agricultural Experiment Station at University of New Hampshire Scholars' Repository. It has been accepted for inclusion in New Hampshire Agricultural Experiment Station Publications by an authorized administrator of University of New Hampshire Scholars' Repository. For more information, please contact [email protected]. Authors Janet L. Anderson, C. M. Ashwell, S. C. Smith, R. Shine, E. C. Smith, and Robert L. Taylor Jr. This article is available at University of New Hampshire Scholars' Repository: https://scholars.unh.edu/nhaes/207 Atherosclerosis-susceptible and atherosclerosis-resistant pigeon aortic cells express different genes in vivo J. -
2010 Physical Biosciences Research Meeting
2010 Physical Biosciences Research Meeting Sheraton Inner Harbor Hotel Baltimore, MD October 17-20, 2010 Office of Basic Energy Sciences Chemical Sciences, Geosciences & Biosciences Division 2010 Physical Biosciences Research Meeting Program and Abstracts Sheraton Inner Harbor Hotel Baltimore, MD October 17-20, 2010 Chemical Sciences, Geosciences, and Biosciences Division Office of Basic Energy Sciences Office of Science U.S. Department of Energy i Cover art is taken from the public domain and can be found at: http://commons.wikimedia.org/wiki/File:Blue_crab_on_market_in_Piraeus_-_Callinectes_sapidus_Rathbun_20020819- 317.jpg This document was produced under contract number DE-AC05-060R23100 between the U.S. Department of Energy and Oak Ridge Associated Universities. The research grants and contracts described in this document are, unless specifically labeled otherwise, supported by the U.S. DOE Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division. ii Foreword This volume provides a record of the 2nd biennial meeting of the Principal Investigators (PIs) funded by the Physical Biosciences program, and is sponsored by the Chemical Sciences, Geosciences, and Biosciences Division of the Office of Basic Energy Sciences (BES) in the U.S. Department of Energy (DOE). Within DOE-BES there are two programs that fund basic research in energy-relevant biological sciences, Physical Biosciences and Photosynthetic Systems. These two Biosciences programs, along with a strong program in Solar Photochemistry, comprise the current Photo- and Bio- Chemistry Team. This meeting specifically brings together under one roof all of the PIs funded by the Physical Biosciences program, along with Program Managers and staff not only from DOE-BES, but also other offices within DOE, the national labs, and even other federal funding agencies. -
Prognostic Significance of Autophagy-Relevant Gene Markers in Colorectal Cancer
ORIGINAL RESEARCH published: 15 April 2021 doi: 10.3389/fonc.2021.566539 Prognostic Significance of Autophagy-Relevant Gene Markers in Colorectal Cancer Qinglian He 1, Ziqi Li 1, Jinbao Yin 1, Yuling Li 2, Yuting Yin 1, Xue Lei 1 and Wei Zhu 1* 1 Department of Pathology, Guangdong Medical University, Dongguan, China, 2 Department of Pathology, Dongguan People’s Hospital, Southern Medical University, Dongguan, China Background: Colorectal cancer (CRC) is a common malignant solid tumor with an extremely low survival rate after relapse. Previous investigations have shown that autophagy possesses a crucial function in tumors. However, there is no consensus on the value of autophagy-associated genes in predicting the prognosis of CRC patients. Edited by: This work screens autophagy-related markers and signaling pathways that may Fenglin Liu, Fudan University, China participate in the development of CRC, and establishes a prognostic model of CRC Reviewed by: based on autophagy-associated genes. Brian M. Olson, Emory University, United States Methods: Gene transcripts from the TCGA database and autophagy-associated gene Zhengzhi Zou, data from the GeneCards database were used to obtain expression levels of autophagy- South China Normal University, China associated genes, followed by Wilcox tests to screen for autophagy-related differentially Faqing Tian, Longgang District People's expressed genes. Then, 11 key autophagy-associated genes were identified through Hospital of Shenzhen, China univariate and multivariate Cox proportional hazard regression analysis and used to Yibing Chen, Zhengzhou University, China establish prognostic models. Additionally, immunohistochemical and CRC cell line data Jian Tu, were used to evaluate the results of our three autophagy-associated genes EPHB2, University of South China, China NOL3, and SNAI1 in TCGA. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
(1,3)-Β-D-Glucan Synthase Gene Family in Hordeum Vulgare
lJ Ítìr¡ 1 t¡ The Putative ( 1,3)-9-l-Glucan Synthase Gene Family in Hordeum vulgare Submitted by Michael Scott Schober This thesis is submitted in fulfilment of the requirements for the degree of Doctor of Philosophy Discipline of Plant and Pest Science School of Agriculture and Wine Faculty of Sciences University of Adelaide,'Waite Campus Glen Osmond, South Australia, 5064, Australia January,2006 Statement of Authorship This thesis contains no material that has been accepted for the award of any other degree or diploma in any university and that, to the best of my knowledge and belief, this thesis contains no material previously published or written by another person, except where due reference being made in the text of the thesis. I give consent to this copy of my thesis, when deposited in the University Libraries, being available for photocopying and loan. Michael Scott Schober January 2006 ll Table of Contents STATEMENT or AutgonsulP ll TABLE OF CONTENTS iii ACKNOWLEDGEMENTS vi PUBLTCATIONS vii ABBREVIATIONS viii ABSTRACT ix CHAPTER 1 General Introduction I 1.I INTRODUCTION 2 1.2 (1,3)-p-D-GLUCAN 4 1.2.1 StructuralProperties 4 1.2.2 Cellular Locations and Associated Functions 6 1.2.2.1 Cell Plate Formation 6 1,2.2.2 Plasmodesmata and Sieve Plate Pores 7 1.2.2.3 ReproductiveTissues 9 1.3 STRESSRELATED(1,3)-B-o-GLUCANDEPOSITION ll I .3. 1 Abiotic stress ll l.3.l.l Wounding ll 1.3.1.2 Metaltoxicity t2 1.3.2 Blotic Stress 12 1.3.2.1 Viral infection t2 1.3.2.2 Bacterialinfection 13 1.3.2.3 Nematode infection l3 1.3.2.4 Fungal Infection -
Differential Expression of RPN2 in Human Epithelial Ovarian
Differential expression of ribophorin II in human epithelial ovarian cancer. Shahan Mamoor, MS1 [email protected] East Islip, NY USA Epithelial ovarian cancer (EOC) is the most lethal gynecologic cancer (1). We performed discovery of genes associated with epithelial ovarian cancer and of the high-grade serous ovarian cancer (HGSC) subtype, using published microarray data (2, 3) to compare global gene expression profiles of normal ovary or fallopian tube with that of primary tumors from women diagnosed with epithelial ovarian cancer or HGSC. We identified the gene encoding ribophorin II, RPN2, as among the genes whose expression was most different in epithelial ovarian cancer as compared to the normal fallopian tube. RPN2 expression was significantly higher in high-grade serous ovarian tumors relative to normal fallopian tube. These data indicate that expression of RPN2 is perturbed in epithelial ovarian cancers broadly and in ovarian cancers of the HGSC subtype. RPN2 may be relevant to pathways underlying ovarian cancer initiation (transformation) or progression. Keywords: ovarian cancer, epithelial ovarian cancer, HGSC, high-grade serous ovarian cancer, systems biology of ovarian cancer, targeted therapeutics in ovarian cancer. 1 The five-year survival rate for women diagnosed with high-grade serous ovarian cancer is between 30-40% and has not changed significantly in decades (4, 5). The development of novel, targeted therapeutics to treat HGSC can be facilitated by an enhanced understanding of the transcriptional behavior of ovarian tumors relative to that of the normal ovary. We mined published microarray data (2, 3) to compare global gene expression profiles between human ovarian tumors, including that of the HGSC subtype, and that of normal ovarian and fallopian tissue. -
Identification of Potential Pathogenic Genes Associated with Osteoporosis
610.BJBJR0010.1302/2046-3758.612.BJR-2017-0102 research-article2017 Freely available online OPEN ACCESS BJR RESEARCH Identification of potential pathogenic genes associated with osteoporosis Objectives B. Xia, Osteoporosis is a chronic disease. The aim of this study was to identify key genes in osteo- Y. Li, porosis. J. Zhou, Methods B. Tian, Microarray data sets GSE56815 and GSE56814, comprising 67 osteoporosis blood samples L. Feng and 62 control blood samples, were obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified in osteoporosis using Limma pack- Jining No. 1 People’s age (3.2.1) and Meta-MA packages. Gene Ontology and Kyoto Encyclopedia of Genes and Hospital, Jining, Genomes enrichment analyses were performed to identify biological functions. Further- Shandong Province, more, the transcriptional regulatory network was established between the top 20 DEGs and China transcriptional factors using the UCSC ENCODE Genome Browser. Receiver operating char- acteristic (ROC) analysis was applied to investigate the diagnostic value of several DEGs. Results A total of 1320 DEGs were obtained, of which 855 were up-regulated and 465 were down- regulated. These differentially expressed genes were enriched in Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways, mainly associated with gene expres- sion and osteoclast differentiation. In the transcriptional regulatory network, there were 6038 interactions pairs involving 88 transcriptional factors. In addition, the quantitative reverse transcriptase-polymerase chain reaction result validated the expression of several genes (VPS35, FCGR2A, TBCA, HIRA, TYROBP, and JUND). Finally, ROC analyses showed that VPS35, HIRA, PHF20 and NFKB2 had a significant diagnostic value for osteoporosis. -
Proteasomes: Unfoldase-Assisted Protein Degradation Machines
Biol. Chem. 2020; 401(1): 183–199 Review Parijat Majumder and Wolfgang Baumeister* Proteasomes: unfoldase-assisted protein degradation machines https://doi.org/10.1515/hsz-2019-0344 housekeeping functions such as cell cycle control, signal Received August 13, 2019; accepted October 2, 2019; previously transduction, transcription, DNA repair and translation published online October 29, 2019 (Alves dos Santos et al., 2001; Goldberg, 2007; Bader and Steller, 2009; Koepp, 2014). Consequently, any disrup- Abstract: Proteasomes are the principal molecular tion of selective protein degradation pathways leads to a machines for the regulated degradation of intracellular broad array of pathological states, including cancer, neu- proteins. These self-compartmentalized macromolecu- rodegeneration, immune-related disorders, cardiomyo- lar assemblies selectively degrade misfolded, mistrans- pathies, liver and gastrointestinal disorders, and ageing lated, damaged or otherwise unwanted proteins, and (Dahlmann, 2007; Motegi et al., 2009; Dantuma and Bott, play a pivotal role in the maintenance of cellular proteo- 2014; Schmidt and Finley, 2014). stasis, in stress response, and numerous other processes In eukaryotes, two major pathways have been identi- of vital importance. Whereas the molecular architecture fied for the selective removal of unwanted proteins – the of the proteasome core particle (CP) is universally con- ubiquitin-proteasome-system (UPS), and the autophagy- served, the unfoldase modules vary in overall structure, lysosome pathway (Ciechanover, 2005; Dikic, 2017). UPS subunit complexity, and regulatory principles. Proteas- constitutes the principal degradation route for intracel- omal unfoldases are AAA+ ATPases (ATPases associated lular proteins, whereas cellular organelles, cell-surface with a variety of cellular activities) that unfold protein proteins, and invading pathogens are mostly degraded substrates, and translocate them into the CP for degra- via autophagy. -
Supplementary Data
SUPPLEMENTARY DATA Table S1. List of 114 proteins identified in RT TEX but not UT-TEXA Cdv3 Adss Actr2 Ptma;Gm6625 Tes;Gm4985 Srm Tceb1 Tpt1 Bri3bp Tardbp Gng2 Tmx3 Eif5a Gnb2l1 Kiaa1467 Epb4.1;Epb41 Tuba4a;Tuba8 Sept11;Sept6 Rbmx;Rbmxl1 Oas1g;Oas1a Rangap1 Rbbp7 Hsd17b12 Pygb Nrd1 Npepps Slco4a1 Bcat1 Scamp3;Tu52 Eif3l Tfg Farsb Eif3c Otub1 Aqp1 Lrrc8c Qdpr Ctsb Ciapin1 Sec11a Khsrp Rab14 Sqstm1 Adcy7 Brk1 Snrpa Hist1h1d;Hist1h1c Vcam1 Eif4g1 Prkcsh Rab31 Cse1l Tm9sf3 Taldo1 Alcam Naca Gps1 Ide Ptgs2 Kars Atp11a Dnajc13 Eif3e Psme1 Rap1a;Gm9392 Tmem33 Spr Kpna4;Kpna3 Tars Cyb5;Cyb5a Kpna2 Apmap Utrn Dbi Gsdmdc1 Pld3 Rpl14 Alad Api5 Dnaja1 Ipo7 Atp2a2;Atp2a1 Irgm1;Ifggd3 Tnfrsf23;Tnfrsf22 Vamp8 Rbbp4 Slc9a3r2 Cpd Cdc37 Hspe1-rs1;Hspe1 Pdia4 Bcap31 Uchl3;Uchl4 Aprt Rpn2 Tcirg1 Gpx1 Mpp1 Sigirr Rps16 Adh5 Txnrd1 Gstp1 Scrib Galk1 F3 Usp14 Asah1 Gna13 Slc9a1;Slc9a2 Gipc1 Psmb8 Nceh1 Rpl13a A A single protein, Rpl10a, was present in UT-TEX but not RT-TEX Table S2. Shared pathways predicted by IPA to be activated or inhibited in RT TEX as compared to UT-TEX ACTIVATED Z-score P-value INHIBITED Z-score P-value Thrombin Signaling 2.236 0.009 STAT3 Pathway -2 0.003954052 Tec Kinase Signaling 2.000 0.004 RhoGDI Signaling -1.667 4.0245E-07 Actin Cytoskeleton Signaling 1.941 1.57285E-08 PPAR Signaling -1 0.009262858 CXCR4 Signaling 1.890 0.000663358 PI3K/AKT Signaling 1.633 0.000815054 Cardiac Hypertrophy Signaling 1.633 0.00491384 Integrin Signaling 1.508 4.06632E-06 Regulation of Actin-based Motility by Rho 1.414 1.42092E-06 Phospholipase C Signaling -
The DNA Sequence and Comparative Analysis of Human Chromosome 20
articles The DNA sequence and comparative analysis of human chromosome 20 P. Deloukas, L. H. Matthews, J. Ashurst, J. Burton, J. G. R. Gilbert, M. Jones, G. Stavrides, J. P. Almeida, A. K. Babbage, C. L. Bagguley, J. Bailey, K. F. Barlow, K. N. Bates, L. M. Beard, D. M. Beare, O. P. Beasley, C. P. Bird, S. E. Blakey, A. M. Bridgeman, A. J. Brown, D. Buck, W. Burrill, A. P. Butler, C. Carder, N. P. Carter, J. C. Chapman, M. Clamp, G. Clark, L. N. Clark, S. Y. Clark, C. M. Clee, S. Clegg, V. E. Cobley, R. E. Collier, R. Connor, N. R. Corby, A. Coulson, G. J. Coville, R. Deadman, P. Dhami, M. Dunn, A. G. Ellington, J. A. Frankland, A. Fraser, L. French, P. Garner, D. V. Grafham, C. Grif®ths, M. N. D. Grif®ths, R. Gwilliam, R. E. Hall, S. Hammond, J. L. Harley, P. D. Heath, S. Ho, J. L. Holden, P. J. Howden, E. Huckle, A. R. Hunt, S. E. Hunt, K. Jekosch, C. M. Johnson, D. Johnson, M. P. Kay, A. M. Kimberley, A. King, A. Knights, G. K. Laird, S. Lawlor, M. H. Lehvaslaiho, M. Leversha, C. Lloyd, D. M. Lloyd, J. D. Lovell, V. L. Marsh, S. L. Martin, L. J. McConnachie, K. McLay, A. A. McMurray, S. Milne, D. Mistry, M. J. F. Moore, J. C. Mullikin, T. Nickerson, K. Oliver, A. Parker, R. Patel, T. A. V. Pearce, A. I. Peck, B. J. C. T. Phillimore, S. R. Prathalingam, R. W. Plumb, H. Ramsay, C. M.