(TPD52) Are Highly Expressed in Colorectal Cancer and Correlated with Poor Prognosis
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Amplification of 8Q21 in Breast Cancer Is Independent of MYC and Associated with Poor Patient Outcome
Modern Pathology (2010) 23, 603–610 & 2010 USCAP, Inc. All rights reserved 0893-3952/10 $32.00 603 Amplification of 8q21 in breast cancer is independent of MYC and associated with poor patient outcome Matthias Choschzick1, Paula Lassen1, Annette Lebeau1, Andreas Holger Marx1, Luigi Terracciano2, Uwe Heilenko¨tter3, Fritz Jaenicke4, Carsten Bokemeyer5, Jakob Izbicki6, Guido Sauter1 and Ronald Simon1 1Institute of Pathology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany; 2Institute of Pathology, University Hospital Basel, Basel, Switzerland; 3Department of Gynaecology, Hospital Itzehoe, Itzehoe, Germany; 4Department of Gynaecology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany; 5Department of Oncology, Hematology, Bone Marrow Transplantation with Section Pneumology, University Hospital Hamburg-Eppendorf, Hamburg, Germany and 6Department of Surgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany Copy number gains involving the long arm of chromosome 8, including high-level amplifications at 8q21 and 8q24, have been frequently reported in breast cancer. Although the role of the MYC gene as the driver of the 8q24 amplicon is well established, the significance of the 8q21 amplicon is less clear. The breast cancer cell line SK-BR-3 contains three separate 8q21 amplicons, the distal two of which correspond to putative target genes TPD52 and WWP1. To understand the effect of proximal 8q21 amplification on breast cancer phenotype and patient prognosis, we analyzed 8q21 copy number changes using fluorescence in situ hybridization (FISH) in a tissue microarray containing more than 2000 breast cancers. Amplification at 8q21 was found in 3% of tumors, and was associated with medullary type (Po0.03), high tumor grade (Po0.0001), high Ki67 labeling index (Po0.05), amplification of MYC (Po0.0001), HER2, MDM2, and CCND1 (Po0.05 each), as well as the total number of gene amplifications (Po0.0001). -
Identification of TPD52 and DNAJB1 As Two Novel Bile Biomarkers for Cholangiocarcinoma by Itraq‑Based Quantitative Proteomics Analysis
2622 ONCOLOGY REPORTS 42: 2622-2634, 2019 Identification of TPD52 and DNAJB1 as two novel bile biomarkers for cholangiocarcinoma by iTRAQ‑based quantitative proteomics analysis HONGYUE REN1*, MINGXU LUO2,3*, JINZHONG CHEN4, YANMING ZHOU5, XIUMEI LI4, YANYAN ZHAN6, DONGYAN SHEN7 and BO CHEN3 1Department of Pathology, The Affiliated Southeast Hospital of Xiamen University, Zhangzhou, Fujian 363000; 2Department of Gastrointestinal Surgery, Xiamen Humanity Hospital; Departments of 3Gastrointestinal Surgery, 4Endoscopy Center and 5Hepatopancreatobiliary Surgery, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen Fujian 361003; 6Cancer Research Center, Xiamen University Medical College, Xiamen, Fujian 361002; 7Biobank, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, P.R. China Received December 17, 2018; Accepted September 26, 2019 DOI: 10.3892/or.2019.7387 Abstract. Cholangiocarcinoma (CCA) represents a type of proteins may contribute to tumor pathogenesis. In addition, the epithelial cancer with a late diagnosis and poor outcome. expression levels of TPD52 and DNAJB1 were found to be However, the molecular mechanisms responsible for the devel- closely associated with the clinical parameters and prognosis opment of CCA have not yet been fully identified. Thus, in this of patients with CCA. On the whole, the findings of this study study, we aimed to elucidate some of these mechanisms. For indicate that TPD52 and DNAJB1 may serve as novel bile this purpose, isobaric tags for relative and absolute quantifica- biomarkers for CCA. tion (iTRAQ) was performed to analyze the secretory proteins from the 2 CCA cell lines, TFK1 and HuCCT1, as well as from Introduction a normal biliary epithelial cell line, human intrahepatic biliary epithelial cells (HiBECs). -
Chromosomal Aberrations in Head and Neck Squamous Cell Carcinomas in Norwegian and Sudanese Populations by Array Comparative Genomic Hybridization
825-843 12/9/08 15:31 Page 825 ONCOLOGY REPORTS 20: 825-843, 2008 825 Chromosomal aberrations in head and neck squamous cell carcinomas in Norwegian and Sudanese populations by array comparative genomic hybridization ERIC ROMAN1,2, LEONARDO A. MEZA-ZEPEDA3, STINE H. KRESSE3, OLA MYKLEBOST3,4, ENDRE N. VASSTRAND2 and SALAH O. IBRAHIM1,2 1Department of Biomedicine, Faculty of Medicine and Dentistry, University of Bergen, Jonas Lies vei 91; 2Department of Oral Sciences - Periodontology, Faculty of Medicine and Dentistry, University of Bergen, Årstadveien 17, 5009 Bergen; 3Department of Tumor Biology, Institute for Cancer Research, Rikshospitalet-Radiumhospitalet Medical Center, Montebello, 0310 Oslo; 4Department of Molecular Biosciences, University of Oslo, Blindernveien 31, 0371 Oslo, Norway Received January 30, 2008; Accepted April 29, 2008 DOI: 10.3892/or_00000080 Abstract. We used microarray-based comparative genomic logical parameters showed little correlation, suggesting an hybridization to explore genome-wide profiles of chromosomal occurrence of gains/losses regardless of ethnic differences and aberrations in 26 samples of head and neck cancers compared clinicopathological status between the patients from the two to their pair-wise normal controls. The samples were obtained countries. Our findings indicate the existence of common from Sudanese (n=11) and Norwegian (n=15) patients. The gene-specific amplifications/deletions in these tumors, findings were correlated with clinicopathological variables. regardless of the source of the samples or attributed We identified the amplification of 41 common chromosomal carcinogenic risk factors. regions (harboring 149 candidate genes) and the deletion of 22 (28 candidate genes). Predominant chromosomal alterations Introduction that were observed included high-level amplification at 1q21 (harboring the S100A gene family) and 11q22 (including Head and neck squamous cell carcinoma (HNSCC), including several MMP family members). -
Identification of the Downregulation of TPD52-Like3 Gene and NKX2-1 Gene in Type 2 Diabetes Mellitus Via RNA Sequencing
Archives of Diabetes & Obesity DOI: 10.32474/ADO.2020.03.000156 ISSN: 2638-5910 Opinion Identification of The Downregulation of TPD52-Like3 Gene and NKX2-1 Gene in Type 2 Diabetes Mellitus Via RNA Sequencing Rob N M Weijers* Teaching Hospital , Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands *Corresponding author: Rob NM Weijers, Teacher, Teaching Hospital, Onze Lieve Vrouwe Gasthuis, Oosterparkstraat 9, PO Box 95500, Amsterdam 1090, Netherlands Received: November 02, 2020 Published: November 12, 2020 Abstract between patients with type 2 diabetes mellitus, compared to non-diabetic patients. Ex-post review, based in part on both the A recent study using next-generation RNA sequencing was reported on genome-wide changes in gene expressing in the skin most downregulated gene TPD52L3, and in the gene regulation category the most downregulated gene NKX2-1. There is strong existence of lipid droplets, peridroplet mitochondria and cytoplasmic mitochondria, selected in the gene metabolism category the evidenceKeywords: that these two genes are involved in the disease process of type 2 diabetes mellitus. Gene Expression; Lipid Droplets; Mitochondria; RNA Sequencing; Type 2 Diabetes Mellitus Opinion Although both the peridroplet mitochondria and cytoplasmic mitochondria are similar in their cell membrane composition they In an earlier study, it was proposed that the final consequence of which already emerges in the prediabetic phase. It was thought to hereditary anomaly results in the development of type 2 diabetes, differ in other fundamental respects [3,4]. A comparison of the suggests that peridroplet mitochondria are more elongated, where protons (H+ purified peridroplet mitochondria to cytoplasmic mitochondria occur due to an increased flux, as compared to the healthy controls whereas cytoplasmic mitochondria tend to be smaller. -
TPD52L2 Polyclonal Antibody Catalog Number:11795-1-AP Featured Product 4 Publications
For Research Use Only TPD52L2 Polyclonal antibody Catalog Number:11795-1-AP Featured Product 4 Publications www.ptglab.com Catalog Number: GenBank Accession Number: Purification Method: Basic Information 11795-1-AP BC006804 Antigen affinity purification Size: GeneID (NCBI): Recommended Dilutions: 150ul , Concentration: 900 μg/ml by 7165 WB 1:500-1:1000 Nanodrop and 447 μg/ml by Bradford Full Name: IP 0.5-4.0 ug for IP and 1:500-1:1000 method using BSA as the standard; tumor protein D52-like 2 for WB Source: IHC 1:20-1:200 Calculated MW: IF 1:50-1:500 Rabbit 206 aa, 22 kDa Isotype: Observed MW: IgG 25-30 kDa Immunogen Catalog Number: AG2364 Applications Tested Applications: Positive Controls: IF, IHC, IP, WB,ELISA WB : HEK-293 cells, HeLa cells, human brain tissue, Cited Applications: human kidney tissue, Jurkat cells, K-562 cells, MCF-7 IHC, WB cells, mouse brain tissue, rat brain tissue Species Specificity: IP : HEK-293 cells, human, mouse, rat IHC : human breast cancer tissue, human testis tissue Cited Species: human, mouse IF : HepG2 cells, Note-IHC: suggested antigen retrieval with TE buffer pH 9.0; (*) Alternatively, antigen retrieval may be performed with citrate buffer pH 6.0 Tumor protein D52-like proteins (TPD52) are small coiled-coil motif bearing proteins that were first identified in Background Information breast carcinoma. Three human TPD52 members had been identified, named hD52 (TPD52), hD53 (TPD52L1), and hD54 (TPD52L2). The most important characteristic of the protein family is a highly conserved coiled-coil motif that is required for homo- and heteromeric interaction with other TPD52-like proteins. -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
Omics Knowledgebase for Mammalian Cellular Signaling Pathways Scott A
www.nature.com/scientificdata OPEN The Signaling Pathways Project, an ARTICLE integrated ‘omics knowledgebase for mammalian cellular signaling pathways Scott A. Ochsner1, David Abraham1,8, Kirt Martin1,8, Wei Ding2, Apollo McOwiti2, Wasula Kankanamge2, Zichen Wang 3, Kaitlyn Andreano4, Ross A. Hamilton1, Yue Chen1, Angelica Hamilton5, Marin L. Gantner6, Michael Dehart2, Shijing Qu2, Susan G. Hilsenbeck2, Lauren B. Becnel2, Dave Bridges7, Avi Ma’ayan 3, Janice M. Huss5, Fabio Stossi1, Charles E. Foulds1, Anastasia Kralli6, Donald P. McDonnell4 & Neil J. McKenna 1* Mining of integrated public transcriptomic and ChIP-Seq (cistromic) datasets can illuminate functions of mammalian cellular signaling pathways not yet explored in the research literature. Here, we designed a web knowledgebase, the Signaling Pathways Project (SPP), which incorporates community classifcations of signaling pathway nodes (receptors, enzymes, transcription factors and co-nodes) and their cognate bioactive small molecules. We then mapped over 10,000 public transcriptomic or cistromic experiments to their pathway node or biosample of study. To enable prediction of pathway node-gene target transcriptional regulatory relationships through SPP, we generated consensus ‘omics signatures, or consensomes, which ranked genes based on measures of their signifcant diferential expression or promoter occupancy across transcriptomic or cistromic experiments mapped to a specifc node family. Consensomes were validated using alignment with canonical literature knowledge, gene target-level integration of transcriptomic and cistromic data points, and in bench experiments confrming previously uncharacterized node-gene target regulatory relationships. To expose the SPP knowledgebase to researchers, a web browser interface was designed that accommodates numerous routine data mining strategies. SPP is freely accessible at https://www.signalingpathways.org. -
Mutations Suggests Both Loss-Of-Function and Gain-Of-Function Effects Morag A
© 2021. Published by The Company of Biologists Ltd | Disease Models & Mechanisms (2021) 14, dmm047225. doi:10.1242/dmm.047225 RESEARCH ARTICLE Hearing impairment due to Mir183/96/182 mutations suggests both loss-of-function and gain-of-function effects Morag A. Lewis1,2,*, Francesca Di Domenico1, Neil J. Ingham1,2, Haydn M. Prosser2 and Karen P. Steel1,2 ABSTRACT birth. However, this is not the cause of the hearing loss; even before The microRNA miR-96 is important for hearing, as point mutations in the onset of normal hearing, homozygote hair cells fail to mature humans and mice result in dominant progressive hearing loss. Mir96 both morphologically and physiologically, remaining in their is expressed in sensory cells along with Mir182 and Mir183, but the immature state, and heterozygote hair cells show a developmental roles of these closely-linked microRNAs are as yet unknown. Here, delay. miR-96 is thus thought to be responsible for coordinating we analyse mice carrying null alleles of Mir182, and of Mir183 and hair cell maturation (Chen et al., 2014; Kuhn et al., 2011). Mir96 together to investigate their roles in hearing. We found that Overexpression of the three miRNAs also results in cochlear defects Mir183/96 heterozygous mice had normal hearing and homozygotes and hearing loss (Weston et al., 2018). The complete loss of all were completely deaf with abnormal hair cell stereocilia bundles and mature miRNAs from the inner ear results in early developmental reduced numbers of inner hair cell synapses at 4 weeks of age. defects including a severely truncated cochlear duct (Friedman Mir182 knockout mice developed normal hearing then exhibited et al., 2009; Soukup et al., 2009). -
Nanopore Sequencing Enables Near-Complete De Novo Assembly of 2 Saccharomyces Cerevisiae Reference Strain CEN.PK113-7D
bioRxiv preprint doi: https://doi.org/10.1101/175984; this version posted August 14, 2017. 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 Nanopore sequencing enables near-complete de novo assembly of 2 Saccharomyces cerevisiae reference strain CEN.PK113-7D 3 #,1,3 #,2 2 4 Alex N. Salazar , Arthur R. Gorter de Vries , Marcel van den Broek , Melanie 2 2 2 2 5 Wijsman , Pilar de la Torre Cortés , Anja Brickwedde , Nick Brouwers , Jean-Marc 2 ,1,3 6 G. Daran and Thomas Abeel* # 7 These authors contributed equally to this publication and should be 8 considered co-first authors. 9 * Corresponding author 10 1. Delft Bioinformatics Lab, Delft University of Technology, Delft, The 11 Netherlands 12 2. Department of Biotechnology, Delft University of Technology, Delft, The 13 Netherlands 14 3. Broad Institute of MIT and Harvard, Boston, Massachusetts, USA 15 16 Alex N. Salazar [email protected] 17 Arthur R. Gorter de Vries [email protected] 18 Marcel van den Broek [email protected] 19 Melanie Wijsman [email protected] 20 Pilar de la Torre Cortés [email protected] 21 Anja Brickwedde [email protected] 22 Nick Brouwers [email protected] 23 Jean-Marc G. Daran [email protected] 24 Thomas Abeel [email protected] 25 Manuscript for publication in FEMS Yeast Research 1 bioRxiv preprint doi: https://doi.org/10.1101/175984; this version posted August 14, 2017. -
MAL2 Drives Immune Evasion in Breast Cancer by Suppressing Tumor Antigen Presentation
MAL2 drives immune evasion in breast cancer by suppressing tumor antigen presentation Yuanzhang Fang, … , Xiongbin Lu, Xinna Zhang J Clin Invest. 2020. https://doi.org/10.1172/JCI140837. Research In-Press Preview Immunology Oncology Graphical abstract Find the latest version: https://jci.me/140837/pdf MAL2 drives immune evasion in breast cancer by suppressing tumor antigen presentation Yuanzhang Fang1,*, Lifei Wang1,†,*, Changlin Wan1,*, Yifan Sun1, Kevin Van der Jeught1, Zhuolong Zhou1, Tianhan Dong2, Ka Man So1, Tao Yu1, Yujing Li1, Haniyeh Eyvani1, Austyn B Colter3, Edward Dong1, Sha Cao4, Jin Wang5, Bryan P Schneider1,6,7, George E. SandusKy3, Yunlong Liu1,8, Chi Zhang1,8,#, Xiongbin Lu1,6,8,#, Xinna Zhang1,6,# 1Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA 2Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, IN 46202, USA 3Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA 4Department of Biostatistics, Indiana University, School of Medicine, Indianapolis, IN 46202, USA 5Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, TX 77030, USA 6Melvin and Bren Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN 46202, USA 7Division of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA 8Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA *These authors contributed equally †Present address: Institute of Medicinal Biotechnology, Chinese Academy of Sciences & PeKing Union Medical College, Beijing 100050, China #Address correspondence to: Chi Zhang, 410 W. 10th Street, HS 5000, Indianapolis, Indiana 46202, USA. -
Genomic and Transcriptome Analysis Revealing an Oncogenic Functional Module in Meningiomas
Neurosurg Focus 35 (6):E3, 2013 ©AANS, 2013 Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas XIAO CHANG, PH.D.,1 LINGLING SHI, PH.D.,2 FAN GAO, PH.D.,1 JONATHAN RUssIN, M.D.,3 LIYUN ZENG, PH.D.,1 SHUHAN HE, B.S.,3 THOMAS C. CHEN, M.D.,3 STEVEN L. GIANNOTTA, M.D.,3 DANIEL J. WEISENBERGER, PH.D.,4 GAbrIEL ZADA, M.D.,3 KAI WANG, PH.D.,1,5,6 AND WIllIAM J. MAck, M.D.1,3 1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; 2GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China; 3Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California; 4USC Epigenome Center, Keck School of Medicine, University of Southern California, Los Angeles, California; 5Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California; and 6Division of Bioinformatics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California Object. Meningiomas are among the most common primary adult brain tumors. Although typically benign, roughly 2%–5% display malignant pathological features. The key molecular pathways involved in malignant trans- formation remain to be determined. Methods. Illumina expression microarrays were used to assess gene expression levels, and Illumina single- nucleotide polymorphism arrays were used to identify copy number variants in benign, atypical, and malignant me- ningiomas (19 tumors, including 4 malignant ones). The authors also reanalyzed 2 expression data sets generated on Affymetrix microarrays (n = 68, including 6 malignant ones; n = 56, including 3 malignant ones). -
Identification of Key Genes and Pathways in Pancreatic Cancer
G C A T T A C G G C A T genes Article Identification of Key Genes and Pathways in Pancreatic Cancer Gene Expression Profile by Integrative Analysis Wenzong Lu * , Ning Li and Fuyuan Liao Department of Biomedical Engineering, College of Electronic and Information Engineering, Xi’an Technological University, Xi’an 710021, China * Correspondence: [email protected]; Tel.: +86-29-86173358 Received: 6 July 2019; Accepted: 7 August 2019; Published: 13 August 2019 Abstract: Background: Pancreatic cancer is one of the malignant tumors that threaten human health. Methods: The gene expression profiles of GSE15471, GSE19650, GSE32676 and GSE71989 were downloaded from the gene expression omnibus database including pancreatic cancer and normal samples. The differentially expressed genes between the two types of samples were identified with the Limma package using R language. The gene ontology functional and pathway enrichment analyses of differentially-expressed genes were performed by the DAVID software followed by the construction of a protein–protein interaction network. Hub gene identification was performed by the plug-in cytoHubba in cytoscape software, and the reliability and survival analysis of hub genes was carried out in The Cancer Genome Atlas gene expression data. Results: The 138 differentially expressed genes were significantly enriched in biological processes including cell migration, cell adhesion and several pathways, mainly associated with extracellular matrix-receptor interaction and focal adhesion pathway in pancreatic cancer. The top hub genes, namely thrombospondin 1, DNA topoisomerase II alpha, syndecan 1, maternal embryonic leucine zipper kinase and proto-oncogene receptor tyrosine kinase Met were identified from the protein–protein interaction network.