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Table S1. List of Proteins in the BAHD1 Interactome
Table S1. List of proteins in the BAHD1 interactome BAHD1 nuclear partners found in this work yeast two-hybrid screen Name Description Function Reference (a) Chromatin adapters HP1α (CBX5) chromobox homolog 5 (HP1 alpha) Binds histone H3 methylated on lysine 9 and chromatin-associated proteins (20-23) HP1β (CBX1) chromobox homolog 1 (HP1 beta) Binds histone H3 methylated on lysine 9 and chromatin-associated proteins HP1γ (CBX3) chromobox homolog 3 (HP1 gamma) Binds histone H3 methylated on lysine 9 and chromatin-associated proteins MBD1 methyl-CpG binding domain protein 1 Binds methylated CpG dinucleotide and chromatin-associated proteins (22, 24-26) Chromatin modification enzymes CHD1 chromodomain helicase DNA binding protein 1 ATP-dependent chromatin remodeling activity (27-28) HDAC5 histone deacetylase 5 Histone deacetylase activity (23,29,30) SETDB1 (ESET;KMT1E) SET domain, bifurcated 1 Histone-lysine N-methyltransferase activity (31-34) Transcription factors GTF3C2 general transcription factor IIIC, polypeptide 2, beta 110kDa Required for RNA polymerase III-mediated transcription HEYL (Hey3) hairy/enhancer-of-split related with YRPW motif-like DNA-binding transcription factor with basic helix-loop-helix domain (35) KLF10 (TIEG1) Kruppel-like factor 10 DNA-binding transcription factor with C2H2 zinc finger domain (36) NR2F1 (COUP-TFI) nuclear receptor subfamily 2, group F, member 1 DNA-binding transcription factor with C4 type zinc finger domain (ligand-regulated) (36) PEG3 paternally expressed 3 DNA-binding transcription factor with -
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. -
Natural Genetic Variation Screen in Drosophila Identifies
INVESTIGATION Natural Genetic Variation Screen in Drosophila Identifies Wnt Signaling, Mitochondrial Metabolism, and Redox Homeostasis Genes as Modifiers of Apoptosis Rebecca A. S. Palu,*,1 Elaine Ong,* Kaitlyn Stevens,* Shani Chung,* Katie G. Owings,* Alan G. Goodman,†,‡ and Clement Y. Chow*,2 *Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112, †School of Molecular Biosciences, and ‡Paul G. Allen School for Global Animal Health, Washington State University College of Veterinary Medicine, Pullman, WA 99164 ORCID IDs: 0000-0001-9444-8815 (R.A.S.P.); 0000-0001-6394-332X (A.G.G.); 0000-0002-3104-7923 (C.Y.C.) ABSTRACT Apoptosis is the primary cause of degeneration in a number of neuronal, muscular, and KEYWORDS metabolic disorders. These diseases are subject to a great deal of phenotypic heterogeneity in patient apoptosis populations, primarily due to differences in genetic variation between individuals. This creates a barrier to Drosophila effective diagnosis and treatment. Understanding how genetic variation influences apoptosis could lead to genetic variation the development of new therapeutics and better personalized treatment approaches. In this study, we modifier genes examine the impact of the natural genetic variation in the Drosophila Genetic Reference Panel (DGRP) on two models of apoptosis-induced retinal degeneration: overexpression of p53 or reaper (rpr). We identify a number of known apoptotic, neural, and developmental genes as candidate modifiers of degeneration. We also use Gene Set Enrichment Analysis (GSEA) to identify pathways that harbor genetic variation that impact these apoptosis models, including Wnt signaling, mitochondrial metabolism, and redox homeostasis. Fi- nally, we demonstrate that many of these candidates have a functional effect on apoptosis and degener- ation. -
Tag-SNP Analysis of the GFI1-EVI5-RPL5-FAM69 Risk Locus
Tag-SNP analysis of the GFI1-EVI5-RPL5-FAM69 risk locus for multiple sclerosis Fuencisla Matesanz, Antonio Alcina, Oscar Fernández, Juan R González, Antonio Catalá-Rabasa, Maria Fedetz, Dorothy Ndagire, Laura Leyva, Miguel Guerrero, Carmen Arnal, et al. To cite this version: Fuencisla Matesanz, Antonio Alcina, Oscar Fernández, Juan R González, Antonio Catalá-Rabasa, et al.. Tag-SNP analysis of the GFI1-EVI5-RPL5-FAM69 risk locus for multiple sclerosis. Eu- ropean Journal of Human Genetics, Nature Publishing Group, 2010, n/a (n/a), pp.n/a-n/a. 10.1038/ejhg.2009.240. hal-00504138 HAL Id: hal-00504138 https://hal.archives-ouvertes.fr/hal-00504138 Submitted on 20 Jul 2010 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. 1 Tag-SNP analysis of the GFI1-EVI5-RPL5-FAM69 risk 2 locus for multiple sclerosis 3 A Alcina 1, O Fernández 2 , JR Gonzalez3, A Catalá-Rabasa 1, M Fedetz 1, D Ndagire 1, L 4 Leyva2, M Guerrero 2, C Arnal 4, C Delgado5, M Lucas 6, G Izquierdo 7, F Matesanz 1 5 Authors’ Affiliation: 6 1 Instituto de Parasitología y Biomedicina “López Neyra”. -
Supplementary Material Computational Prediction of SARS
Supplementary_Material Computational prediction of SARS-CoV-2 encoded miRNAs and their putative host targets Sheet_1 List of potential stem-loop structures in SARS-CoV-2 genome as predicted by VMir. Rank Name Start Apex Size Score Window Count (Absolute) Direct Orientation 1 MD13 2801 2864 125 243.8 61 2 MD62 11234 11286 101 211.4 49 4 MD136 27666 27721 104 205.6 119 5 MD108 21131 21184 110 204.7 210 9 MD132 26743 26801 119 188.9 252 19 MD56 9797 9858 128 179.1 59 26 MD139 28196 28233 72 170.4 133 28 MD16 2934 2974 76 169.9 71 43 MD103 20002 20042 80 159.3 403 46 MD6 1489 1531 86 156.7 171 51 MD17 2981 3047 131 152.8 38 87 MD4 651 692 75 140.3 46 95 MD7 1810 1872 121 137.4 58 116 MD140 28217 28252 72 133.8 62 122 MD55 9712 9758 96 132.5 49 135 MD70 13171 13219 93 130.2 131 164 MD95 18782 18820 79 124.7 184 173 MD121 24086 24135 99 123.1 45 176 MD96 19046 19086 75 123.1 179 196 MD19 3197 3236 76 120.4 49 200 MD86 17048 17083 73 119.8 428 223 MD75 14534 14600 137 117 51 228 MD50 8824 8870 94 115.8 79 234 MD129 25598 25642 89 115.6 354 Reverse Orientation 6 MR61 19088 19132 88 197.8 271 10 MR72 23563 23636 148 188.8 286 11 MR11 3775 3844 136 185.1 116 12 MR94 29532 29582 94 184.6 271 15 MR43 14973 15028 109 183.9 226 27 MR14 4160 4206 89 170 241 34 MR35 11734 11792 111 164.2 37 52 MR5 1603 1652 89 152.7 118 53 MR57 18089 18132 101 152.7 139 94 MR8 2804 2864 122 137.4 38 107 MR58 18474 18508 72 134.9 237 117 MR16 4506 4540 72 133.8 311 120 MR34 10010 10048 82 132.7 245 133 MR7 2534 2578 90 130.4 75 146 MR79 24766 24808 75 127.9 59 150 MR65 21528 21576 99 127.4 83 180 MR60 19016 19049 70 122.5 72 187 MR51 16450 16482 75 121 363 190 MR80 25687 25734 96 120.6 75 198 MR64 21507 21544 70 120.3 35 206 MR41 14500 14542 84 119.2 94 218 MR84 26840 26894 108 117.6 94 Sheet_2 List of stable stem-loop structures based on MFE. -
Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo -
Strand Breaks for P53 Exon 6 and 8 Among Different Time Course of Folate Depletion Or Repletion in the Rectosigmoid Mucosa
SUPPLEMENTAL FIGURE COLON p53 EXONIC STRAND BREAKS DURING FOLATE DEPLETION-REPLETION INTERVENTION Supplemental Figure Legend Strand breaks for p53 exon 6 and 8 among different time course of folate depletion or repletion in the rectosigmoid mucosa. The input of DNA was controlled by GAPDH. The data is shown as ΔCt after normalized to GAPDH. The higher ΔCt the more strand breaks. The P value is shown in the figure. SUPPLEMENT S1 Genes that were significantly UPREGULATED after folate intervention (by unadjusted paired t-test), list is sorted by P value Gene Symbol Nucleotide P VALUE Description OLFM4 NM_006418 0.0000 Homo sapiens differentially expressed in hematopoietic lineages (GW112) mRNA. FMR1NB NM_152578 0.0000 Homo sapiens hypothetical protein FLJ25736 (FLJ25736) mRNA. IFI6 NM_002038 0.0001 Homo sapiens interferon alpha-inducible protein (clone IFI-6-16) (G1P3) transcript variant 1 mRNA. Homo sapiens UDP-N-acetyl-alpha-D-galactosamine:polypeptide N-acetylgalactosaminyltransferase 15 GALNTL5 NM_145292 0.0001 (GALNT15) mRNA. STIM2 NM_020860 0.0001 Homo sapiens stromal interaction molecule 2 (STIM2) mRNA. ZNF645 NM_152577 0.0002 Homo sapiens hypothetical protein FLJ25735 (FLJ25735) mRNA. ATP12A NM_001676 0.0002 Homo sapiens ATPase H+/K+ transporting nongastric alpha polypeptide (ATP12A) mRNA. U1SNRNPBP NM_007020 0.0003 Homo sapiens U1-snRNP binding protein homolog (U1SNRNPBP) transcript variant 1 mRNA. RNF125 NM_017831 0.0004 Homo sapiens ring finger protein 125 (RNF125) mRNA. FMNL1 NM_005892 0.0004 Homo sapiens formin-like (FMNL) mRNA. ISG15 NM_005101 0.0005 Homo sapiens interferon alpha-inducible protein (clone IFI-15K) (G1P2) mRNA. SLC6A14 NM_007231 0.0005 Homo sapiens solute carrier family 6 (neurotransmitter transporter) member 14 (SLC6A14) mRNA. -
Genetic and Functional Approaches to Understanding Autoimmune and Inflammatory Pathologies
University of Vermont ScholarWorks @ UVM Graduate College Dissertations and Theses Dissertations and Theses 2020 Genetic And Functional Approaches To Understanding Autoimmune And Inflammatory Pathologies Abbas Raza University of Vermont Follow this and additional works at: https://scholarworks.uvm.edu/graddis Part of the Genetics and Genomics Commons, Immunology and Infectious Disease Commons, and the Pathology Commons Recommended Citation Raza, Abbas, "Genetic And Functional Approaches To Understanding Autoimmune And Inflammatory Pathologies" (2020). Graduate College Dissertations and Theses. 1175. https://scholarworks.uvm.edu/graddis/1175 This Dissertation is brought to you for free and open access by the Dissertations and Theses at ScholarWorks @ UVM. It has been accepted for inclusion in Graduate College Dissertations and Theses by an authorized administrator of ScholarWorks @ UVM. For more information, please contact [email protected]. GENETIC AND FUNCTIONAL APPROACHES TO UNDERSTANDING AUTOIMMUNE AND INFLAMMATORY PATHOLOGIES A Dissertation Presented by Abbas Raza to The Faculty of the Graduate College of The University of Vermont In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Specializing in Cellular, Molecular, and Biomedical Sciences January, 2020 Defense Date: August 30, 2019 Dissertation Examination Committee: Cory Teuscher, Ph.D., Advisor Jonathan Boyson, Ph.D., Chairperson Matthew Poynter, Ph.D. Ralph Budd, M.D. Dawei Li, Ph.D. Dimitry Krementsov, Ph.D. Cynthia J. Forehand, Ph.D., Dean of the Graduate College ABSTRACT Our understanding of genetic predisposition to inflammatory and autoimmune diseases has been enhanced by large scale quantitative trait loci (QTL) linkage mapping and genome-wide association studies (GWAS). However, the resolution and interpretation of QTL linkage mapping or GWAS findings are limited. -
The Pu.1 Target Gene Zbtb11 Regulates Neutrophil Development Through Its Integrase-Like HHCC Zinc finger
ARTICLE Received 4 Jul 2016 | Accepted 13 Feb 2017 | Published 6 Apr 2017 DOI: 10.1038/ncomms14911 OPEN The Pu.1 target gene Zbtb11 regulates neutrophil development through its integrase-like HHCC zinc finger Maria-Cristina Keightley1,2, Duncan P. Carradice2,3, Judith E. Layton2,4, Luke Pase1,2,3, Julien Y. Bertrand5, Johannes G. Wittig1, Aleksandar Dakic2, Andrew P. Badrock6, Nicholas J. Cole7, David Traver8, Stephen L. Nutt2,3, Julia McCoey9, Ashley M. Buckle9, Joan K. Heath2,3,4 & Graham J. Lieschke1,2,4 In response to infection and injury, the neutrophil population rapidly expands and then quickly re-establishes the basal state when inflammation resolves. The exact pathways governing neutrophil/macrophage lineage outputs from a common granulocyte-macrophage progenitor are still not completely understood. From a forward genetic screen in zebrafish, we identify the transcriptional repressor, ZBTB11, as critical for basal and emergency granulopoiesis. ZBTB11 sits in a pathway directly downstream of master myeloid regulators including PU.1, and TP53 is one direct ZBTB11 transcriptional target. TP53 repression is dependent on ZBTB11 cys116, which is a functionally critical, metal ion-coordinating residue within a novel viral integrase-like zinc finger domain. To our knowledge, this is the first description of a function for this domain in a cellular protein. We demonstrate that the PU.1–ZBTB11–TP53 pathway is conserved from fish to mammals. Finally, Zbtb11 mutant rescue experiments point to a ZBTB11-regulated TP53 requirement in development of other organs. 1 Australian Regenerative Medicine Institute, Monash University, Clayton, Victoria 3800, Australia. 2 The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Victoria 3050, Australia. -
1 Fibrillar Αβ Triggers Microglial Proteome Alterations and Dysfunction in Alzheimer Mouse 1 Models 2 3 4 Laura Sebastian
bioRxiv preprint doi: https://doi.org/10.1101/861146; this version posted December 2, 2019. 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. 1 Fibrillar triggers microglial proteome alterations and dysfunction in Alzheimer mouse 2 models 3 4 5 Laura Sebastian Monasor1,10*, Stephan A. Müller1*, Alessio Colombo1, Jasmin König1,2, Stefan 6 Roth3, Arthur Liesz3,4, Anna Berghofer5, Takashi Saito6,7, Takaomi C. Saido6, Jochen Herms1,4,8, 7 Michael Willem9, Christian Haass1,4,9, Stefan F. Lichtenthaler 1,4,5# & Sabina Tahirovic1# 8 9 1 German Center for Neurodegenerative Diseases (DZNE) Munich, 81377 Munich, Germany 10 2 Faculty of Chemistry, Technical University of Munich, Garching, Germany 11 3 Institute for Stroke and Dementia Research (ISD), Ludwig-Maximilians Universität München, 12 81377 Munich, Germany 13 4 Munich Cluster for Systems Neurology (SyNergy), Munich, Germany 14 5 Neuroproteomics, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 15 Munich, Germany 16 6 Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science Institute, Wako, 17 Saitama 351-0198, Japan 18 7 Department of Neurocognitive Science, Nagoya City University Graduate School of Medical 19 Science, Nagoya, Aichi 467-8601, Japan 20 8 Center for Neuropathology and Prion Research, Ludwig-Maximilians-Universität München, 81377 21 Munich, Germany 22 9 Biomedical Center (BMC), Ludwig-Maximilians Universität München, 81377 Munich, Germany 23 10 Graduate School of Systemic Neuroscience, Ludwig-Maximilians-University Munich, Munich, 24 Germany. 25 *Contributed equally 26 #Correspondence: [email protected] and [email protected] 27 28 Running title: 29 Microglial proteomic signatures of AD 30 Keywords: Alzheimer’s disease / microglia / proteomic signatures / neuroinflammation / 31 phagocytosis 32 1 bioRxiv preprint doi: https://doi.org/10.1101/861146; this version posted December 2, 2019. -
Supplementary Tables S1-S3
Supplementary Table S1: Real time RT-PCR primers COX-2 Forward 5’- CCACTTCAAGGGAGTCTGGA -3’ Reverse 5’- AAGGGCCCTGGTGTAGTAGG -3’ Wnt5a Forward 5’- TGAATAACCCTGTTCAGATGTCA -3’ Reverse 5’- TGTACTGCATGTGGTCCTGA -3’ Spp1 Forward 5'- GACCCATCTCAGAAGCAGAA -3' Reverse 5'- TTCGTCAGATTCATCCGAGT -3' CUGBP2 Forward 5’- ATGCAACAGCTCAACACTGC -3’ Reverse 5’- CAGCGTTGCCAGATTCTGTA -3’ Supplementary Table S2: Genes synergistically regulated by oncogenic Ras and TGF-β AU-rich probe_id Gene Name Gene Symbol element Fold change RasV12 + TGF-β RasV12 TGF-β 1368519_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 42.22 5.53 75.28 1373000_at sushi-repeat-containing protein, X-linked 2 (predicted) Srpx2 19.24 25.59 73.63 1383486_at Transcribed locus --- ARE 5.93 27.94 52.85 1367581_a_at secreted phosphoprotein 1 Spp1 2.46 19.28 49.76 1368359_a_at VGF nerve growth factor inducible Vgf 3.11 4.61 48.10 1392618_at Transcribed locus --- ARE 3.48 24.30 45.76 1398302_at prolactin-like protein F Prlpf ARE 1.39 3.29 45.23 1392264_s_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 24.92 3.67 40.09 1391022_at laminin, beta 3 Lamb3 2.13 3.31 38.15 1384605_at Transcribed locus --- 2.94 14.57 37.91 1367973_at chemokine (C-C motif) ligand 2 Ccl2 ARE 5.47 17.28 37.90 1369249_at progressive ankylosis homolog (mouse) Ank ARE 3.12 8.33 33.58 1398479_at ryanodine receptor 3 Ryr3 ARE 1.42 9.28 29.65 1371194_at tumor necrosis factor alpha induced protein 6 Tnfaip6 ARE 2.95 7.90 29.24 1386344_at Progressive ankylosis homolog (mouse) -
Mapping of the Chromosomal Amplification 1P21-22 in Bladder Cancer Mauro Scaravilli1, Paola Asero1, Teuvo LJ Tammela1,2, Tapio Visakorpi1 and Outi R Saramäki1*
Scaravilli et al. BMC Research Notes 2014, 7:547 http://www.biomedcentral.com/1756-0500/7/547 RESEARCH ARTICLE Open Access Mapping of the chromosomal amplification 1p21-22 in bladder cancer Mauro Scaravilli1, Paola Asero1, Teuvo LJ Tammela1,2, Tapio Visakorpi1 and Outi R Saramäki1* Abstract Background: The aim of the study was to characterize a recurrent amplification at chromosomal region 1p21-22 in bladder cancer. Methods: ArrayCGH (aCGH) was performed to identify DNA copy number variations in 7 clinical samples and 6 bladder cancer cell lines. FISH was used to map the amplicon at 1p21-22 in the cell lines. Gene expression microarrays and qRT-PCR were used to study the expression of putative target genes in the region. Results: aCGH identified an amplification at 1p21-22 in 10/13 (77%) samples. The minimal region of the amplification was mapped to a region of about 1 Mb in size, containing a total of 11 known genes. The highest amplification was found in SCaBER squamous cell carcinoma cell line. Four genes, TMED5, DR1, RPL5 and EVI5,showedsignificant overexpression in the SCaBER cell line compared to all the other samples tested. Oncomine database analysis revealed upregulation of DR1 in superficial and infiltrating bladder cancer samples, compared to normal bladder. Conclusions: In conclusions, we have identified and mapped chromosomal amplification at 1p21-22 in bladder cancer as well as studied the expression of the genes in the region. DR1 was found to be significantly overexpressed in the SCaBER, which is a model of squamous cell carcinoma. However, the overexpression was found also in a published clinical sample cohort of superficial and infiltrating bladder cancers.