ASSOCIATION STUDY of GENETIC VARIANTS in the 14Q11 – 14Q13
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Gene Expression Polarization
Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression This information is current as of September 27, 2021. Fernando O. Martinez, Siamon Gordon, Massimo Locati and Alberto Mantovani J Immunol 2006; 177:7303-7311; ; doi: 10.4049/jimmunol.177.10.7303 http://www.jimmunol.org/content/177/10/7303 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2006/11/03/177.10.7303.DC1 Material http://www.jimmunol.org/ References This article cites 61 articles, 22 of which you can access for free at: http://www.jimmunol.org/content/177/10/7303.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 27, 2021 • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2006 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression1 Fernando O. -
Anti-Inflammatory Role of Curcumin in LPS Treated A549 Cells at Global Proteome Level and on Mycobacterial Infection
Anti-inflammatory Role of Curcumin in LPS Treated A549 cells at Global Proteome level and on Mycobacterial infection. Suchita Singh1,+, Rakesh Arya2,3,+, Rhishikesh R Bargaje1, Mrinal Kumar Das2,4, Subia Akram2, Hossain Md. Faruquee2,5, Rajendra Kumar Behera3, Ranjan Kumar Nanda2,*, Anurag Agrawal1 1Center of Excellence for Translational Research in Asthma and Lung Disease, CSIR- Institute of Genomics and Integrative Biology, New Delhi, 110025, India. 2Translational Health Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India. 3School of Life Sciences, Sambalpur University, Jyoti Vihar, Sambalpur, Orissa, 768019, India. 4Department of Respiratory Sciences, #211, Maurice Shock Building, University of Leicester, LE1 9HN 5Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia- 7003, Bangladesh. +Contributed equally for this work. S-1 70 G1 S 60 G2/M 50 40 30 % of cells 20 10 0 CURI LPSI LPSCUR Figure S1: Effect of curcumin and/or LPS treatment on A549 cell viability A549 cells were treated with curcumin (10 µM) and/or LPS or 1 µg/ml for the indicated times and after fixation were stained with propidium iodide and Annexin V-FITC. The DNA contents were determined by flow cytometry to calculate percentage of cells present in each phase of the cell cycle (G1, S and G2/M) using Flowing analysis software. S-2 Figure S2: Total proteins identified in all the three experiments and their distribution betwee curcumin and/or LPS treated conditions. The proteins showing differential expressions (log2 fold change≥2) in these experiments were presented in the venn diagram and certain number of proteins are common in all three experiments. -
Identification of Transcriptomic Differences Between Lower
International Journal of Molecular Sciences Article Identification of Transcriptomic Differences between Lower Extremities Arterial Disease, Abdominal Aortic Aneurysm and Chronic Venous Disease in Peripheral Blood Mononuclear Cells Specimens Daniel P. Zalewski 1,*,† , Karol P. Ruszel 2,†, Andrzej St˛epniewski 3, Dariusz Gałkowski 4, Jacek Bogucki 5 , Przemysław Kołodziej 6 , Jolanta Szyma ´nska 7 , Bartosz J. Płachno 8 , Tomasz Zubilewicz 9 , Marcin Feldo 9,‡ , Janusz Kocki 2,‡ and Anna Bogucka-Kocka 1,‡ 1 Chair and Department of Biology and Genetics, Medical University of Lublin, 4a Chod´zkiSt., 20-093 Lublin, Poland; [email protected] 2 Chair of Medical Genetics, Department of Clinical Genetics, Medical University of Lublin, 11 Radziwiłłowska St., 20-080 Lublin, Poland; [email protected] (K.P.R.); [email protected] (J.K.) 3 Ecotech Complex Analytical and Programme Centre for Advanced Environmentally Friendly Technologies, University of Marie Curie-Skłodowska, 39 Gł˛ebokaSt., 20-612 Lublin, Poland; [email protected] 4 Department of Pathology and Laboratory Medicine, Rutgers-Robert Wood Johnson Medical School, One Robert Wood Johnson Place, New Brunswick, NJ 08903-0019, USA; [email protected] 5 Chair and Department of Organic Chemistry, Medical University of Lublin, 4a Chod´zkiSt., Citation: Zalewski, D.P.; Ruszel, K.P.; 20-093 Lublin, Poland; [email protected] St˛epniewski,A.; Gałkowski, D.; 6 Laboratory of Diagnostic Parasitology, Chair and Department of Biology and Genetics, Medical University of Bogucki, J.; Kołodziej, P.; Szyma´nska, Lublin, 4a Chod´zkiSt., 20-093 Lublin, Poland; [email protected] J.; Płachno, B.J.; Zubilewicz, T.; Feldo, 7 Department of Integrated Paediatric Dentistry, Chair of Integrated Dentistry, Medical University of Lublin, M.; et al. -
Supplementary Table S1. Correlation Between the Mutant P53-Interacting Partners and PTTG3P, PTTG1 and PTTG2, Based on Data from Starbase V3.0 Database
Supplementary Table S1. Correlation between the mutant p53-interacting partners and PTTG3P, PTTG1 and PTTG2, based on data from StarBase v3.0 database. PTTG3P PTTG1 PTTG2 Gene ID Coefficient-R p-value Coefficient-R p-value Coefficient-R p-value NF-YA ENSG00000001167 −0.077 8.59e-2 −0.210 2.09e-6 −0.122 6.23e-3 NF-YB ENSG00000120837 0.176 7.12e-5 0.227 2.82e-7 0.094 3.59e-2 NF-YC ENSG00000066136 0.124 5.45e-3 0.124 5.40e-3 0.051 2.51e-1 Sp1 ENSG00000185591 −0.014 7.50e-1 −0.201 5.82e-6 −0.072 1.07e-1 Ets-1 ENSG00000134954 −0.096 3.14e-2 −0.257 4.83e-9 0.034 4.46e-1 VDR ENSG00000111424 −0.091 4.10e-2 −0.216 1.03e-6 0.014 7.48e-1 SREBP-2 ENSG00000198911 −0.064 1.53e-1 −0.147 9.27e-4 −0.073 1.01e-1 TopBP1 ENSG00000163781 0.067 1.36e-1 0.051 2.57e-1 −0.020 6.57e-1 Pin1 ENSG00000127445 0.250 1.40e-8 0.571 9.56e-45 0.187 2.52e-5 MRE11 ENSG00000020922 0.063 1.56e-1 −0.007 8.81e-1 −0.024 5.93e-1 PML ENSG00000140464 0.072 1.05e-1 0.217 9.36e-7 0.166 1.85e-4 p63 ENSG00000073282 −0.120 7.04e-3 −0.283 1.08e-10 −0.198 7.71e-6 p73 ENSG00000078900 0.104 2.03e-2 0.258 4.67e-9 0.097 3.02e-2 Supplementary Table S2. -
Proteasome Biology: Chemistry and Bioengineering Insights
polymers Review Proteasome Biology: Chemistry and Bioengineering Insights Lucia Raˇcková * and Erika Csekes Centre of Experimental Medicine, Institute of Experimental Pharmacology and Toxicology, Slovak Academy of Sciences, Dúbravská cesta 9, 841 04 Bratislava, Slovakia; [email protected] * Correspondence: [email protected] or [email protected] Received: 28 September 2020; Accepted: 23 November 2020; Published: 4 December 2020 Abstract: Proteasomal degradation provides the crucial machinery for maintaining cellular proteostasis. The biological origins of modulation or impairment of the function of proteasomal complexes may include changes in gene expression of their subunits, ubiquitin mutation, or indirect mechanisms arising from the overall impairment of proteostasis. However, changes in the physico-chemical characteristics of the cellular environment might also meaningfully contribute to altered performance. This review summarizes the effects of physicochemical factors in the cell, such as pH, temperature fluctuations, and reactions with the products of oxidative metabolism, on the function of the proteasome. Furthermore, evidence of the direct interaction of proteasomal complexes with protein aggregates is compared against the knowledge obtained from immobilization biotechnologies. In this regard, factors such as the structures of the natural polymeric scaffolds in the cells, their content of reactive groups or the sequestration of metal ions, and processes at the interface, are discussed here with regard to their -
Advancing the Role of Gamma-Tocotrienol As Proteasomes Inhibitor: a Quantitative Proteomic Analysis of MDA-MB-231 Human Breast Cancer Cells
biomolecules Article Advancing the Role of Gamma-Tocotrienol as Proteasomes Inhibitor: A Quantitative Proteomic Analysis of MDA-MB-231 Human Breast Cancer Cells Premdass Ramdas 1,2, Ammu Kutty Radhakrishnan 3 , Asmahani Azira Abdu Sani 4 , Mangala Kumari 5, Jeya Seela Anandha Rao 6 and Puteri Shafinaz Abdul-Rahman 1,7,* 1 Department of Molecular Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia; [email protected] 2 Department of Medical Biotechnology, School of Health Sciences, International Medical University, 57000 Kuala Lumpur, Malaysia 3 Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, 47500 Selangor, Malaysia; [email protected] 4 Malaysian Genome Institute, National Institute of Biotechnology, 43000 Bangi, Malaysia; [email protected] 5 Division of Human Biology, International Medical University, 57000 Kuala Lumpur, Malaysia; [email protected] 6 Division of Pathology, International Medical University, 57000 Kuala Lumpur, Malaysia; [email protected] 7 University of Malaya Centre of Proteomics Research (UMCPR), University of Malaya, 50603 Kuala Lumpur, Malaysia * Correspondence: [email protected] Received: 27 November 2019; Accepted: 14 December 2019; Published: 21 December 2019 Abstract: Tocotrienol, an analogue of vitamin E has been known for its numerous health benefits and anti-cancer effects. Of the four isoforms of tocotrienols, gamma-tocotrienol (γT3) has been frequently reported for their superior anti-tumorigenic activity in both in vitro and in vivo studies, when compared to its counterparts. In this study, the effect of γT3 treatment in the cytoplasmic and nuclear fraction of MDA-MB-231 human breast cancer cells were assessed using the label-free quantitative proteomics analysis. -
Targeting the Ataxia Telangiectasia Mutated-Null Phenotype in Chronic Lymphocytic Leukemia with Pro-Oxidants
Chronic Lymphocytic Leukemia SUPPLEMENTARY APPENDIX Targeting the Ataxia Telangiectasia Mutated-null phenotype in chronic lymphocytic leukemia with pro-oxidants Angelo Agathanggelou, 1 Victoria J. Weston, 1 Tracey Perry, 1 Nicholas J. Davies, 1 Anna Skowronska, 1 Daniel T. Payne, 2 John S. Fossey, 2 Ceri E. Oldreive, 1 Wenbin Wei, 1 Guy Pratt, 1,3 Helen Parry, 3 David Oscier, 4 Steve J. Coles, 5 Paul S. Hole, 5 Richard L. Darley, 5 Michael McMahon, 6 John D. Hayes, 6 Paul Moss, 1 Grant S. Stewart, 1 A. Malcolm R. Taylor, 1 and Tat - jana Stankovic 1 1School of Cancer Sciences, University of Birmingham; 2School of Chemistry, University of Birmingham; 3Haematology Department, Birmingham Heartlands Hospital; 4Haematology Department, Royal Bournemouth Hospital, Dorset; 5Department of Haematology, Insti - tute of Cancer and Genetics, Cardiff University School of Medicine, Cardiff; 6Medical Research Institute, University of Dundee, UK ©2015 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2014.115170 AA and VJW contributed equally to this work. The online version of this article has a Supplementary Appendix. Manuscript received on October 20, 2014. Manuscript accepted on March 25, 2015. Correspondence: [email protected] Supplementary Table S1. Characteristics of CLL samples CLL samples were stratified based on ATM mutation, TP53 mutation and 11q deletion status and phosphorylation of the ATM targets ATM, SMC1, p53 and KAP1 in response to 5Gy IR. CLL samples were considered to be ATM wild type (ATM-wt) if no mutation changes were detected by Sanger sequencing and if they exhibited a normal ATM-dependent response to IR. -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase. -
PSME1 Polyclonal Antibody
PSME1 polyclonal antibody Catalog # : PAB7267 規格 : [ 100 ug ] List All Specification Application Image Product Goat polyclonal antibody raised against synthetic peptide of PSME1. Western Blot (Cell lysate) Description: Immunogen: A synthetic peptide corresponding to human PSME1. Sequence: C-KNFEKLKKPRGETK enlarge Host: Goat ELISA Theoretical MW 28.7 (kDa): Reactivity: Human Specificity: This antibody is expected to recognize isoform 1 (NP_006254.1). Form: Liquid Purification: Antigen affinity purification Concentration: 0.5 mg/mL Quality Control Antibody Reactive Against Synthetic Peptide. Testing: Recommend ELISA (1:64000) Usage: Western Blot (0.3-1 ug/mL) The optimal working dilution should be determined by the end user. Storage Buffer: In Tris saline, pH 7.3 (0.5% BSA, 0.02% sodium azide) Storage Store at -20°C. Instruction: Aliquot to avoid repeated freezing and thawing. Note: This product contains sodium azide: a POISONOUS AND HAZARDOUS SUBSTANCE which should be handled by trained staff only. Datasheet: Download Publication Reference 1. Anti-20S proteasome autoantibodies inhibit proteasome stimulation by proteasome activator PA28. Brychcy M, Kuckelkorn U, Hausdorf G, Egerer K, Kloetzel PM, Burmester GR, Feist E.Arthritis Rheum. 2006 Jul;54(7):2175-83. Applications Western Blot (Cell lysate) Page 1 of 3 2017/2/16 PSME1 polyclonal antibody (Cat # PAB7267) (0.3 ug/mL) staining of human peripheral blood mononucleocyte lysate (35 ug protein in RIPA buffer). Primary incubation was 1 hour. Detected by chemiluminescence. ELISA Gene Information Entrez GeneID: 5720 Protein NP_006254.1 Accession#: Gene Name: PSME1 Gene Alias: IFI5111,MGC8628,PA28A,PA28alpha,REGalpha Gene proteasome (prosome, macropain) activator subunit 1 (PA28 alpha) Description: Omim ID: 600654 Gene Ontology: Hyperlink Gene Summary: The 26S proteasome is a multicatalytic proteinase complex with a highly ordered structure composed of 2 complexes, a 20S core and a 19S regulator. -
Expression of Immunoproteasome Genes Is Regulated by Cell-Intrinsic
www.nature.com/scientificreports OPEN Expression of immunoproteasome genes is regulated by cell-intrinsic and –extrinsic factors in human Received: 06 April 2016 Accepted: 06 September 2016 cancers Published: 23 September 2016 Alexandre Rouette1,2,*, Assya Trofimov1,2,3,*, David Haberl1, Geneviève Boucher1, Vincent-Philippe Lavallée1,2,4,5, Giovanni D’Angelo4,5, Josée Hébert1,2,4,5, Guy Sauvageau1,2,4,5, Sébastien Lemieux1,3 & Claude Perreault1,2,4 Based on transcriptomic analyses of thousands of samples from The Cancer Genome Atlas, we report that expression of constitutive proteasome (CP) genes (PSMB5, PSMB6, PSMB7) and immunoproteasome (IP) genes (PSMB8, PSMB9, PSMB10) is increased in most cancer types. In breast cancer, expression of IP genes was determined by the abundance of tumor infiltrating lymphocytes and high expression of IP genes was associated with longer survival. In contrast, IP upregulation in acute myeloid leukemia (AML) was a cell-intrinsic feature that was not associated with longer survival. Expression of IP genes in AML was IFN-independent, correlated with the methylation status of IP genes, and was particularly high in AML with an M5 phenotype and/or MLL rearrangement. Notably, PSMB8 inhibition led to accumulation of polyubiquitinated proteins and cell death in IPhigh but not IPlow AML cells. Co-clustering analysis revealed that genes correlated with IP subunits in non-M5 AMLs were primarily implicated in immune processes. However, in M5 AML, IP genes were primarily co-regulated with genes involved in cell metabolism and proliferation, mitochondrial activity and stress responses. We conclude that M5 AML cells can upregulate IP genes in a cell-intrinsic manner in order to resist cell stress. -
Proteasome Dysfunction Mediates Obesity-Induced Endoplasmic Reticulum Stress and Insulin Resistance in the Liver
ORIGINAL ARTICLE Proteasome Dysfunction Mediates Obesity-Induced Endoplasmic Reticulum Stress and Insulin Resistance in the Liver Toshiki Otoda,1 Toshinari Takamura,1 Hirofumi Misu,1 Tsuguhito Ota,2 Shigeo Murata,3 Hiroto Hayashi,1 Hiroaki Takayama,1 Akihiro Kikuchi,1 Takehiro Kanamori,1 Kosuke R. Shima,1 Fei Lan,1 Takashi Takeda,1 Seiichiro Kurita,1 Kazuhide Ishikura,1 Yuki Kita,1 Kaito Iwayama,4 Ken-ichiro Kato,1 Masafumi Uno,1 Yumie Takeshita,1 Miyuki Yamamoto,5 Kunpei Tokuyama,4 Shoichi Iseki,5 Keiji Tanaka,6 and Shuichi Kaneko1 fi Chronic endoplasmic reticulum (ER) stress is a major contributor We previously identi ed metabolic pathways that are to obesity-induced insulin resistance in the liver. However, the significantly altered by obesity in the livers of people with molecular link between obesity and ER stress remains to be type 2 diabetes by analyzing comprehensive gene expres- identified. Proteasomes are important multicatalytic enzyme sion profiles using DNA chips (5). We found that genes complexes that degrade misfolded and oxidized proteins. Here, involved in ubiquitin-proteasome pathways were co- we report that both mouse models of obesity and diabetes and ordinately upregulated in obese individuals. Proteasomes proteasome activator (PA)28-null mice showed 30–40% reduction play fundamental roles in processes that are essential for in proteasome activity and accumulation of polyubiquitinated cell viability (6). proteins in the liver. PA28-null mice also showed hepatic steato- sis, decreased hepatic insulin signaling, and increased hepatic Eukaryotic cells contain several types of proteasomes. glucose production. The link between proteasome dysfunction Core 20S proteasomes (20S) have binding sites for the and hepatic insulin resistance involves ER stress leading to regulatory particles proteasome activator (PA)700 and – hyperactivation of c-Jun NH2-terminal kinase in the liver. -
Genetics and Molecular Biology, 44, 1, E20190410 (2021) Copyright © Sociedade Brasileira De Genética
Genetics and Molecular Biology, 44, 1, e20190410 (2021) Copyright © Sociedade Brasileira de Genética. DOI: https://doi.org/10.1590/1678-4685-GMB-2019-0410 Research Article Human and Medical Genetics Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer Talita Helen Bombardelli Gomig1*, Amanda Moletta Gontarski1*, Iglenir João Cavalli1, Ricardo Lehtonen Rodrigues de Souza1 , Aline Castro Rodrigues Lucena2, Michel Batista2,3, Kelly Cavalcanti Machado3, Fabricio Klerynton Marchini2,3, Fabio Albuquerque Marchi4, Rubens Silveira Lima5, Cícero de Andrade Urban5, Rafael Diogo Marchi6, Luciane Regina Cavalli6,7and Enilze Maria de Souza Fonseca Ribeiro1 1Universidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil. 2Instituto Carlos Chagas, Laboratório de Genômica Funcional, Curitiba, PR, Brazil. 3Fundação Oswaldo Cruz (Fiocruz), Plataforma de Espectrometria de Massas, Curitiba, PR, Brazil. 4Hospital A.C. Camargo Cancer Center, Centro de Pesquisa Internacional, São Paulo, SP, Brazil. 5Hospital Nossa Senhora das Graças, Centro de Doenças da Mama, Curitiba, PR, Brazil. 6Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, PR, Brazil. 7Georgetown University, Lombardi Comprehensive Cancer Center, Washington, USA. * These authors contributed equally to this study. Abstract Male breast cancer (MBC) is a rare malignancy that accounts for about 1.8% of all breast cancer cases. In contrast to the high number of