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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Expression of the Hematopoietic Stem Cell Antigen CD34 on Blood and Bone Marrow Monoclonal Plasma Cells from Patients with Multiple Myeloma
Bone Marrow Transplantation, (1997) 19, 553–556 1997 Stockton Press All rights reserved 0268–3369/97 $12.00 Expression of the hematopoietic stem cell antigen CD34 on blood and bone marrow monoclonal plasma cells from patients with multiple myeloma T Kimlinger1 and TE Witzig2 1Department of Laboratory Medicine and 2Division of Internal Medicine and Hematology, Mayo Clinic and Mayo Foundation, Rochester, MN, USA Summary: led to strategies to deplete the tumor cells from the harvest product prior to reinfusion of the stem cells. Monoclonal plasma cells (CD38+CD45−/dim) are typi- One of the current attempts at purifying the harvest pro- cally present in the blood of patients with active mye- duct uses antibody to the CD34 antigen to positively select loma and can contaminate stem cell harvests. This has and enrich hematopoietic stem cells and in the process led to strategies that select CD34+ cells for use in auto- purge the stem cell product of tumor cells and T cells.11–13 logous stem cell transplantation with the goal of The CD34 antigen identifies a lymphohematopoietic stem decreasing tumor cell contamination. The aim of this cell, is present on 1–5% of adult bone marrow cells, and study was to learn if the CD34 antigen is expressed on is expressed on early B cells. The characteristics of this monoclonal plasma cells in the blood or marrow of important antigen and its clinical relevance have recently patients with multiple myeloma. We used three-color been reviewed.14 CD34+ hematopoietic cells from blood or flow cytometry (surface CD38;CD45 and cytoplasmic marrow can reconstitute hematopoiesis after high-dose kappa or lambda) to identify monoclonal plasma cells therapy programs.15 The number of CD34+ cells reinfused in the blood (n = 24) and marrow (n = 37) from patients predicts the time to engraftment.16,17 with plasma cell proliferative disorders. -
MUC1 Is a Potential Target for the Treatment of Acute Myeloid Leukemia Stem Cells
Published OnlineFirst July 18, 2013; DOI: 10.1158/0008-5472.CAN-13-0677 Cancer Tumor and Stem Cell Biology Research MUC1 Is a Potential Target for the Treatment of Acute Myeloid Leukemia Stem Cells Dina Stroopinsky1, Jacalyn Rosenblatt1, Keisuke Ito1, Heidi Mills1, Li Yin2, Hasan Rajabi2, Baldev Vasir2, Turner Kufe1, Katarina Luptakova1, Jon Arnason1, Caterina Nardella1, James D. Levine1, Robin M. Joyce1, Ilene Galinsky2, Yoram Reiter3, Richard M. Stone2, Pier Paolo Pandolfi1, Donald Kufe2, and David Avigan1 Abstract Acute myeloid leukemia (AML) is a malignancy of stem cells with an unlimited capacity for self-renewal. MUC1 is a secreted, oncogenic mucin that is expressed aberrantly in AML blasts, but its potential uses to target AML þ À stem cells have not been explored. Here, we report that MUC1 is highly expressed on AML CD34 /lineage / À CD38 cells as compared with their normal stem cell counterparts. MUC1 expression was not restricted to AML þ À CD34 populations as similar results were obtained with leukemic cells from patients with CD34 disease. Engraftment of AML stem cell populations that highly express MUC1 (MUC1high) led to development of leukemia in NOD-SCID IL2Rgammanull (NSG) immunodeficient mice. In contrast, MUC1low cell populations established normal hematopoiesis in the NSG model. Functional blockade of the oncogenic MUC1-C subunit with the peptide inhibitor GO-203 depleted established AML in vivo, but did not affect engraftment of normal hematopoietic cells. Our results establish that MUC1 is highly expressed in AML stem cells and they define the MUC1-C subunit as a valid target for their therapeutic eradication. -
Gene Expression Studies: from Case-Control to Multiple-Population-Based Studies
From the Institute of Human Genetics, Helmholtz Zentrum Munchen,¨ Deutsches Forschungszentrum fur¨ Gesundheit und Umwelt (GmbH) Head: Prof. Dr. Thomas Meitinger Gene expression studies: From case-control to multiple-population-based studies Thesis Submitted for a Doctoral Degree in Natural Sciences at the Faculty of Medicine, Ludwig-Maximilians-Universitat¨ Munchen¨ Katharina Schramm Dachau, Germany 2016 With approval of the Faculty of Medicine Ludwig-Maximilians-Universit¨atM ¨unchen Supervisor/Examiner: Prof. Dr. Thomas Illig Co-Examiners: Prof. Dr. Roland Kappler Dean: Prof. Dr. med. dent. Reinhard Hickel Date of oral examination: 22.12.2016 II Dedicated to my family. III Abstract Recent technological developments allow genome-wide scans of gene expression levels. The reduction of costs and increasing parallelization of processing enable the quantification of 47,000 transcripts in up to twelve samples on a single microarray. Thereby the data collec- tion of large population-based studies was improved. During my PhD, I first developed a workflow for the statistical analyses of case-control stu- dies of up to 50 samples. With large population-based data sets generated I established a pipeline for quality control, data preprocessing and correction for confounders, which re- sulted in substantially improved data. In total, I processed more than 3,000 genome-wide expression profiles using the generated pipeline. With 993 whole blood samples from the population-based KORA (Cooperative Health Research in the Region of Augsburg) study we established one of the largest population-based resource. Using this data set we contributed to a number of transcriptome-wide association studies within national (MetaXpress) and international (CHARGE) consortia. -
Early Modifications of Gene Expression Induced in Liver by Azo-Dye Diet
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Volume 206, number 2 FEBS 4070 October 1986 Early modifications of gene expression induced in liver by azo-dye diet EugCnia Lamas, Fabien Schweighoffer and Axe1 Kahn Unit& de Recherches en GP&tique et Pathologie Mol&ulaires, INSERM U 129, CHU COCHIN, 24, Rue du Faubourg Saint Jacques, 75674 Paris Cedex 14, France Received 5 August 1986 The expression and regulation of the phosphoenolpyruvate carboxykinase gene were not grossly modified by feeding rats a 3’-methyl-4-(dimethylamino)azobenzene-containing diet despite maximum expression of the L-type pyruvate kinase gene being dramatically reduced as early as the 24th hour of the carcinogenic diet. Inhibition of aldolase B mRNA synthesis occurred more slowly, being maximum at the 3rd day. After stopping administration of the carcinogen, a very rapid, but transient increase of the L-type pyruvate kinase mRNA was observed at the 24th hour, whereas aldolase B mRNA increased only slowly. The amount of aldolase A mRNA fell quickly after termination of carcinogen administration, levels being normal at the 2nd-3rd day. At this time, the histological structure of the liver was indistinguishable from that of animals still receiving the azo-dye diet. It appears, therefore, that in the rat both administration and withdrawal of the azo-dye carcinogen induce rapid modifications of the expression of some genes, before any cellular modification is distinguishable. Azo-dye diet mRNA Hepatocarcinogenesis Phosphoenolpyruvate carboxykinase Aldolase Pyruvate kinase 1. INTRODUCTION some genes. Such a possibility is of theoretical im- portance because it could constitute the basis for The azo-dye 3’-methyl-4-(dimethylamino)azo- the carcinogenic action of the dye. -
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. -
Exploring Prostate Cancer Genome Reveals Simultaneous Losses of PTEN, FAS and PAPSS2 in Patients with PSA Recurrence After Radical Prostatectomy
Int. J. Mol. Sci. 2015, 16, 3856-3869; doi:10.3390/ijms16023856 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Exploring Prostate Cancer Genome Reveals Simultaneous Losses of PTEN, FAS and PAPSS2 in Patients with PSA Recurrence after Radical Prostatectomy Chinyere Ibeawuchi 1, Hartmut Schmidt 2, Reinhard Voss 3, Ulf Titze 4, Mahmoud Abbas 5, Joerg Neumann 6, Elke Eltze 7, Agnes Marije Hoogland 8, Guido Jenster 9, Burkhard Brandt 10 and Axel Semjonow 1,* 1 Prostate Center, Department of Urology, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebaeude 1A, Muenster D-48149, Germany; E-Mail: [email protected] 2 Center for Laboratory Medicine, University Hospital Muenster, Albert-Schweitzer-Campus 1, Gebaeude 1A, Muenster D-48149, Germany; E-Mail: [email protected] 3 Interdisciplinary Center for Clinical Research, University of Muenster, Albert-Schweitzer-Campus 1, Gebaeude D3, Domagkstrasse 3, Muenster D-48149, Germany; E-Mail: [email protected] 4 Pathology, Lippe Hospital Detmold, Röntgenstrasse 18, Detmold D-32756, Germany; E-Mail: [email protected] 5 Institute of Pathology, Mathias-Spital-Rheine, Frankenburg Street 31, Rheine D-48431, Germany; E-Mail: [email protected] 6 Institute of Pathology, Klinikum Osnabrueck, Am Finkenhuegel 1, Osnabrueck D-49076, Germany; E-Mail: [email protected] 7 Institute of Pathology, Saarbrücken-Rastpfuhl, Rheinstrasse 2, Saarbrücken D-66113, Germany; E-Mail: [email protected] 8 Department -
Supplementary Table S1. Table 1. List of Bacterial Strains Used in This Study Suppl
Supplementary Material Supplementary Tables: Supplementary Table S1. Table 1. List of bacterial strains used in this study Supplementary Table S2. List of plasmids used in this study Supplementary Table 3. List of primers used for mutagenesis of P. intermedia Supplementary Table 4. List of primers used for qRT-PCR analysis in P. intermedia Supplementary Table 5. List of the most highly upregulated genes in P. intermedia OxyR mutant Supplementary Table 6. List of the most highly downregulated genes in P. intermedia OxyR mutant Supplementary Table 7. List of the most highly upregulated genes in P. intermedia grown in iron-deplete conditions Supplementary Table 8. List of the most highly downregulated genes in P. intermedia grown in iron-deplete conditions Supplementary Figures: Supplementary Figure 1. Comparison of the genomic loci encoding OxyR in Prevotella species. Supplementary Figure 2. Distribution of SOD and glutathione peroxidase genes within the genus Prevotella. Supplementary Table S1. Bacterial strains Strain Description Source or reference P. intermedia V3147 Wild type OMA14 isolated from the (1) periodontal pocket of a Japanese patient with periodontitis V3203 OMA14 PIOMA14_I_0073(oxyR)::ermF This study E. coli XL-1 Blue Host strain for cloning Stratagene S17-1 RP-4-2-Tc::Mu aph::Tn7 recA, Smr (2) 1 Supplementary Table S2. Plasmids Plasmid Relevant property Source or reference pUC118 Takara pBSSK pNDR-Dual Clonetech pTCB Apr Tcr, E. coli-Bacteroides shuttle vector (3) plasmid pKD954 Contains the Porpyromonas gulae catalase (4) -
Cacybp (NM 009786) Mouse Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for MR202748 Cacybp (NM_009786) Mouse Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: Cacybp (NM_009786) Mouse Tagged ORF Clone Tag: Myc-DDK Symbol: Cacybp Synonyms: SIP Vector: pCMV6-Entry (PS100001) E. coli Selection: Kanamycin (25 ug/mL) Cell Selection: Neomycin ORF Nucleotide >MR202748 ORF sequence Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGGCTTCCGTTTTGGAAGAGTTGCAGAAAGACCTAGAAGAGGTCAAAGTATTGCTGGAAAAGTCCACTA GGAAAAGACTACGTGATACTCTTACAAGTGAAAAGTCCAAGATTGAGACGGAACTCAAGAACAAGATGCA ACAGAAGTCGCAGAAGAAACCAGAACTTGATAATGAAAAGCCAGCTGCTGTGGTTGCTCCTCTTACAACA GGATACACCGTGAAAATCAGTAATTATGGATGGGATCAGTCAGATAAGTTTGTGAAAATCTACATTACCT TGACTGGCGTCCATCAGGTGCCCACTGAGAACGTGCAGGTGCACTTCACAGAGAGGTCATTTGATCTTCT GGTAAAAAACCTCAATGGCAAGAATTACTCCATGATTGTGAACAATCTTTTGAAACCTATCTCTGTGGAA AGCAGTTCAAAAAAAGTCAAGACTGATACAGTAATTATTCTATGTAGAAAGAAAGCAGAAAACACAAGAT GGGACTACTTAACACAGGTGGAAAAGGAATGCAAAGAGAAAGAAAAGCCTTCCTACGACACGGAGGCAGA CCCTAGTGAGGGATTAATGAATGTTCTAAAGAAAATTTATGAAGACGGAGACGATGATATGAAGCGAACC ATTAATAAAGCGTGGGTGGAATCCAGAGAGAAGCAAGCCAGAGAAGACACGGAATTT ACGCGTACGCGGCCGCTCGAGCAGAAACTCATCTCAGAAGAGGATCTGGCAGCAAATGATATCCTGGATT ACAAGGATGACGACGATAAGGTTTAA This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online -
770.Full-Text.Pdf
Published OnlineFirst January 14, 2019; DOI: 10.1158/1055-9965.EPI-18-0936 Research Article Cancer Epidemiology, Biomarkers Serum Metabolic Profiling Identified a Distinct & Prevention Metabolic Signature in Bladder Cancer Smokers: A Key Metabolic Enzyme Associated with Patient Survival Chandra Sekhar Amara1, Chandrashekar R. Ambati2, Venkatrao Vantaku1, Danthasinghe Waduge Badrajee Piyarathna1, Sri Ramya Donepudi2, Shiva Shankar Ravi1, James M. Arnold3, Vasanta Putluri2, Gurkamal Chatta4, Khurshid A. Guru5, Hoda Badr6, Martha K. Terris7, Roni J. Bollag7, Arun Sreekumar1,3, Andrea B. Apolo8, and Nagireddy Putluri1 Abstract Background: The current system to predict the outcome of nylalanine, proline, serine, valine, isoleucine, glycine, and smokers with bladder cancer is insufficient due to complex asparagine) and taurine were observed in bladder cancer genomic and transcriptomic heterogeneities. This study aims smokers. Integration of differential metabolomic gene signa- to identify serum metabolite-associated genes related to sur- ture and transcriptomics data from TCGA cohort revealed an vival in this population. intersection of 17 genes that showed significant correlation Methods: We performed LC/MS-based targeted metabo- with patient survival in bladder cancer smokers. Importantly, lomic analysis for >300 metabolites in serum obtained catechol-O-methyltransferase, iodotyrosine deiodinase, and from two independent cohorts of bladder cancer never tubulin tyrosine ligase showed a significant association with smokers, smokers, healthy smokers, and healthy never patient survival in publicly available bladder cancer smoker smokers. A subset of differential metabolites was validated datasets and did not have any clinical association in never using Biocrates absoluteIDQ p180 Kit. Genes associated smokers. with differential metabolites were integrated with a publicly Conclusions: Serum metabolic profiling of bladder cancer available cohort of The Cancer Genome Atlas (TCGA) to smokers revealed dysregulated amino acid metabolism. -
Exploring the Non-Canonical Functions of Metabolic Enzymes Peiwei Huangyang1,2 and M
© 2018. Published by The Company of Biologists Ltd | Disease Models & Mechanisms (2018) 11, dmm033365. doi:10.1242/dmm.033365 REVIEW SPECIAL COLLECTION: CANCER METABOLISM Hidden features: exploring the non-canonical functions of metabolic enzymes Peiwei Huangyang1,2 and M. Celeste Simon1,3,* ABSTRACT A key finding from studies of metabolic enzymes is the existence The study of cellular metabolism has been rigorously revisited over the of mechanistic links between their nuclear localization and the past decade, especially in the field of cancer research, revealing new regulation of transcription. By modulating gene expression, insights that expand our understanding of malignancy. Among these metabolic enzymes themselves facilitate adaptation to rapidly insights isthe discovery that various metabolic enzymes have surprising changing environments. Furthermore, they can directly shape a ’ activities outside of their established metabolic roles, including in cell s epigenetic landscape (Kaelin and McKnight, 2013). the regulation of gene expression, DNA damage repair, cell cycle Strikingly, several metabolic enzymes exert completely distinct progression and apoptosis. Many of these newly identified functions are functions in different cellular compartments. Nuclear fructose activated in response to growth factor signaling, nutrient and oxygen bisphosphate aldolase, for example, directly interacts with RNA ́ availability, and external stress. As such, multifaceted enzymes directly polymerase III to control transcription (Ciesla et al., 2014), -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr.