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The Title of the Article
Mechanism-Anchored Profiling Derived from Epigenetic Networks Predicts Outcome in Acute Lymphoblastic Leukemia Xinan Yang, PhD1, Yong Huang, MD1, James L Chen, MD1, Jianming Xie, MSc2, Xiao Sun, PhD2, Yves A Lussier, MD1,3,4§ 1Center for Biomedical Informatics and Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL 60637 USA 2State Key Laboratory of Bioelectronics, Southeast University, 210096 Nanjing, P.R.China 3The University of Chicago Cancer Research Center, and The Ludwig Center for Metastasis Research, The University of Chicago, Chicago, IL 60637 USA 4The Institute for Genomics and Systems Biology, and the Computational Institute, The University of Chicago, Chicago, IL 60637 USA §Corresponding author Email addresses: XY: [email protected] YH: [email protected] JC: [email protected] JX: [email protected] XS: [email protected] YL: [email protected] - 1 - Abstract Background Current outcome predictors based on “molecular profiling” rely on gene lists selected without consideration for their molecular mechanisms. This study was designed to demonstrate that we could learn about genes related to a specific mechanism and further use this knowledge to predict outcome in patients – a paradigm shift towards accurate “mechanism-anchored profiling”. We propose a novel algorithm, PGnet, which predicts a tripartite mechanism-anchored network associated to epigenetic regulation consisting of phenotypes, genes and mechanisms. Genes termed as GEMs in this network meet all of the following criteria: (i) they are co-expressed with genes known to be involved in the biological mechanism of interest, (ii) they are also differentially expressed between distinct phenotypes relevant to the study, and (iii) as a biomodule, genes correlate with both the mechanism and the phenotype. -
Identification and Diagnostic Performance of a Small RNA Within the PCA3 and BMCC1 Gene Locus That Potentially Targets Mrna
Published OnlineFirst November 12, 2014; DOI: 10.1158/1055-9965.EPI-14-0377 Research Article Cancer Epidemiology, Biomarkers Identification and Diagnostic Performance of a & Prevention Small RNA within the PCA3 and BMCC1 Gene Locus That Potentially Targets mRNA Ross M. Drayton1, Ishtiaq Rehman1, Raymond Clarke2, Zhongming Zhao3,4, Karl Pang1, Saiful Miah1, Robert Stoehr5, Arndt Hartmann5, Sheila Blizard1, Martin Lavin2, Helen E. Bryant1, Elena S. Martens-Uzunova6, Guido Jenster6, Freddie C. Hamdy7, Robert A. Gardiner2, and James W.F. Catto1 Abstract Background: PCA3 is a long noncoding RNA (lncRNA) with malignant prostatic tissues, exfoliated urinary cells from men unknown function, upregulated in prostate cancer. LncRNAs may with prostate cancer (13–273 fold change; t test P < 0.003), and be processed into smaller active species. We hypothesized this for closely correlated to PCA3 expression (r ¼ 0.84–0.93; P < 0.001). PCA3. Urinary PCA3-shRNA2 (C-index, 0.75–0.81) and PCA3 (C-index, Methods: We computed feasible RNA hairpins within the 0.78) could predict the presence of cancer in most men. PCA3- BMCC1 gene (encompassing PCA3) and searched a prostate shRNA2 knockup altered the expression of predicted target transcriptome for these. We measured expression using qRT- mRNAs, including COPS2, SOX11, WDR48, TEAD1, and Noggin. PCR in three cohorts of prostate cancer tissues (n ¼ 60), PCA3-shRNA2 expression was negatively correlated with COPS2 exfoliated urinary cells (n ¼ 484 with cancer and n ¼ 166 in patient samples (r ¼0.32; P < 0.001). controls), and in cell lines (n ¼ 22). We used in silico predictions Conclusion: We identified a short RNA within PCA3, whose and RNA knockup to identify potential mRNA targets of short expression is correlated to PCA3, which may target mRNAs transcribed RNAs. -
Supplementary Material for “Characterization of the Opossum Immune Genome Provides Insights Into the Evolution of the Mammalian Immune System”
Supplementary material for “Characterization of the opossum immune genome provides insights into the evolution of the mammalian immune system” Katherine Belov1*, Claire E. Sanderson1, Janine E. Deakin2, Emily S.W. Wong1, Daniel Assange3, Kaighin A. McColl3, Alex Gout3,4, Bernard de Bono5, Terence P. Speed3, John Trowsdale5, Anthony T. Papenfuss3 1. Faculty of Veterinary Science, University of Sydney, Sydney, Australia 2. ARC Centre for Kangaroo Genomics, Research School of Biological Sciences, The Australian National University, Canberra, Australia 3. Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia 4. Department of Medical Biology, The University of Melbourne, Parkville, Australia 5. Immunology Division, University of Cambridge, Cambridge, UK *Corresponding author: K. Belov, Faculty of Veterinary Science, University of Sydney, NSW 2006, Australia ph 61 2 9351 3454, fx 61 2 9351 3957, email [email protected] MHC paralogous regions Only 36 of the 114 genes in the opossum MHC have paralogs in one of the three paralogous regions (Supplementary Table 1). Genes represented in at least three of the four paralogous regions (13 genes) were used to compare gene order, revealing rearrangements between the four regions in opossum. Table 1: MHC genes with paralogs on opossum chromosomes 1, 2 and 3, corresponding to MHC paralogous regions on human chromosomes 9, 1 and 19 respectively. MHC Chromosome 1 Chromosome 2 Chromosome 3 (Human Chr 9) (Human Chr 1) (Human Chr 19) AGPAT1 AGPAT2 AIF1 C9orf58 ATP6V1G2 ATP6V1G1 ATP6V1G3 B3GALT4 B3GALT2 BAT1 DDX39 BAT2 KIAA0515 BAT2D1 BRD2 BRD3 BRDT BRD4 C4 C5 C3 SLC44A4 SLC44A5 SLC44A2 CLIC1 CLIC3 CLIC4 COL11A2 COL5A1 COL11A1 COL5A3 CREBL1 ATF6 DDAH2 DDAH1 DDR1 DDR2 EGFL8 EGFL7 EHMT2 EHMT1 GPX5 GPX4 MHC Class I CD1 HSPA1A HSPA5 MDC1 PRG4 NOTCH4 NOTCH1 NOTCH2 NOTCH3 PBX2 PBX3 PBX1 PBX4 PHF1 MTF2 PRSS16 DPP7 PSMB9 PSMB7 RGL2 RALGDS RGL1 RGL3 RING1 RNF2 RXRB RXRA RXRG SYNGAP1 RASAL2 TAP ABCA2 TNF/LTA/LTB TNFSF8/TNFSF15 TNFSF4 CD70/TNFSF9/ TNFSF14/ TNXB TNC TNR Table 2. -
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. -
NUFIP1 Sirna (H): Sc-105367
SANTA CRUZ BIOTECHNOLOGY, INC. NUFIP1 siRNA (h): sc-105367 BACKGROUND STORAGE AND RESUSPENSION NUFIP1 (nuclear fragile X mental retardation-interacting protein 1) is a 495 Store lyophilized siRNA duplex at -20° C with desiccant. Stable for at least amino acid protein that localizes to the nucleus and can interact with FMR1 one year from the date of shipment. Once resuspended, store at -20° C, (fragile X mental retardation protein) and BRCA1, a breast and ovarian-specific avoid contact with RNAses and repeated freeze thaw cycles. tumor suppressor. Through its interaction with FMR1, NUFIP1 is thought to Resuspend lyophilized siRNA duplex in 330 µl of the RNAse-free water shuttle specific mRNPs to active neuronal synapses, thereby regulating the provided. Resuspension of the siRNA duplex in 330 µl of RNAse-free water translation of synaptic plasticity-related mRNA. The close interaction of makes a 10 µM solution in a 10 µM Tris-HCl, pH 8.0, 20 mM NaCl, 1 mM NUFIP1 with FMR1, a protein that is essential for proper dendritic spine matu- EDTA buffered solution. ration, suggests close involvement in neuronal development. Interaction of NUFIP1 with BRCA1 results in the formation of a complex which binds the APPLICATIONS positive elongation factor P-TEFb, thus stimulating RNA polymerase II (pol II) transcription. When associated with BRAC1, NUFIP1 acts as a transcriptional NUFIP1 siRNA (h) is recommended for the inhibition of NUFIP1 expression in activator contributing to tumor suppressor gene expression. NUFIP1 contains human cells. one C2H2-type zinc finger and is expressed throughout the body. SUPPORT REAGENTS REFERENCES For optimal siRNA transfection efficiency, Santa Cruz Biotechnology’s 1. -
Detection of Aneuploidies by Paralogous Sequence Quantification S Deutsch, U Choudhury, G Merla, C Howald, a Sylvan, S E Antonarakis
908 J Med Genet: first published as 10.1136/jmg.2004.023184 on 9 December 2004. Downloaded from ORIGINAL ARTICLE Detection of aneuploidies by paralogous sequence quantification S Deutsch, U Choudhury, G Merla, C Howald, A Sylvan, S E Antonarakis ............................................................................................................................... J Med Genet 2004;41:908–915. doi: 10.1136/jmg.2004.023184 Background: Chromosomal aneuploidies are a common cause of congenital disorders associated with cognitive impairment and multiple dysmorphic features. Pre-natal diagnosis of aneuploidies is most See end of article for commonly performed by the karyotyping of fetal cells obtained by amniocentesis or chorionic villus authors’ affiliations sampling, but this method is labour intensive and requires about 14 days to complete. ....................... Methods: We have developed a PCR based method for the detection of targeted chromosome number Correspondence to: abnormalities termed paralogous sequence quantification (PSQ), based on the use of paralogous genes. Professor Stylianos E Paralogous sequences have a high degree of sequence identity, but accumulate nucleotide substitutions in Antonarakis, Department a locus specific manner. These sequence differences, which we term paralogous sequence mismatches of Genetic Medicine and Development, University of (PSMs), can be quantified using pyrosequencing technology, to estimate the relative dosage between Geneva Medical School, different chromosomes. We designed 10 assays for the detection of trisomies of chromosomes 13, 18, and GE 1211, Geneva, 21 and sex chromosome aneuploidies. Switzerland; Stylianos. antonarakis@medecine. Results: We evaluated the performance of this method on 175 DNAs, highly enriched for abnormal unige.ch samples. A correct and unambiguous diagnosis was given for 119 out of 120 aneuploid samples as well as for all the controls. -
Learning from Cadherin Structures and Sequences: Affinity Determinants and Protein Architecture
Learning from cadherin structures and sequences: affinity determinants and protein architecture Klára Fels ıvályi Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Klara Felsovalyi All rights reserved ABSTRACT Learning from cadherin structures and sequences: affinity determinants and protein architecture Klara Felsovalyi Cadherins are a family of cell-surface proteins mediating adhesion that are important in development and maintenance of tissues. The family is defined by the repeating cadherin domain (EC) in their extracellular region, but they are diverse in terms of protein size, architecture and cellular function. The best-understood subfamily is the type I classical cadherins, which are found in vertebrates and have five EC domains. Among the five different type I classical cadherins, the binding interactions are highly specific in their homo- and heterophilic binding affinities, though their sequences are very similar. As previously shown, E- and N-cadherins, two prototypic members of the subfamily, differ in their homophilic K D by about an order of magnitude, while their heterophilic affinity is intermediate. To examine the source of the binding affinity differences among type I cadherins, we used crystal structures, analytical ultracentrifugation (AUC), surface plasmon resonance (SPR), and electron paramagnetic resonance (EPR) studies. Phylogenetic analysis and binding affinity behavior show that the type I cadherins can be further divided into two subgroups, with E- and N-cadherin representing each. In addition to the affinity differences in their wild-type binding through the strand-swapped interface, a second interface also shows an affinity difference between E- and N-cadherin. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
Examination of the Role of the Hu Proteins, Hur and Hud, in Prostate Cancer Cells
Examination of the Role of the Hu Proteins, HuR and HuD, in Prostate Cancer Cells. Christin Florence Down This thesis is presented for the degree of Doctor of Philosophy to the School of Medicine and Pharmacology, University of Western Australia. January 2007 i Declaration. This thesis contains published work and/or work prepared for publication, some of which has been co-authored . The bibliographic details of the works and where they appear in the thesis are set out below. (The candidate must attach to this declaration a statement detailing the percentage contribution of each author to the work. This must been signed by all authors. Where this is not possible, the statement detailing the percentage contribution of authors should be signed by the candidate’s Coordinating Supervisor). This thesis contains experimental data from the following co-authored work: Hu Proteins are Expressed and Regulate Androgen Receptor Expression and Cell Proliferation in Prostate Cancer. Christin F Down , Dianne J Beveridge, Michael R Epis, Ricky Lareu, Lisa M Stuart, Britt Granath, Dominic C Voon, Henry Furneaux, Cecily Metcalf, Jacqueline Bentel and Peter J Leedman. Submitted to Cancer Research . The relative contribution of authors is as follows: Christin Down (the Candidate): 55% Dianne J Beveridge 6 % Michael R Epis 6 % Ricky Lareu 3 % Lisa M Stuart 3 % Britt Granath 3 % Dominic Voon 3 % Henry Furneaux 3 % Cecily Metcalf 3 % Jacqueline Bentel 5 % Peter J Leedman 10 % Data from the manuscript described above are presented in this thesis in the following figures, and were performed by the investigator indicated: Figure 3.1A : Dr Cecily Metcalfe, Department of Pathology, Royal Perth Hospital. -
Identification and Characterization of Novel Fusion Genes with Potential
International Journal of Molecular Sciences Article Identification and Characterization of Novel Fusion Genes with Potential Clinical Applications in Mexican Children with Acute Lymphoblastic Leukemia Minerva Mata-Rocha 1,2 , Angelica Rangel-López 3 , Elva Jiménez-Hernández 4,5, Blanca Angélica Morales-Castillo 6, Carolina González-Torres 7, Javier Gaytan-Cervantes 7, Enrique Álvarez-Olmos 6, Juan Carlos Núñez-Enríquez 6 , Arturo Fajardo-Gutiérrez 6, Jorge Alfonso Martín-Trejo 8, Karina Anastacia Solís-Labastida 8, Aurora Medina-Sansón 9, Janet Flores-Lujano 6, Omar Alejandro Sepúlveda-Robles 1,2 , José Gabriel Peñaloza-González 10, Laura Eugenia Espinoza-Hernández 4, Nora Nancy Núñez-Villegas 4, Rosa Martha Espinosa-Elizondo 11, Beatriz Cortés-Herrera 11, José Refugio Torres-Nava 5, Luz Victoria Flores-Villegas 12, Laura Elizabeth Merino-Pasaye 12, Vilma Carolina Bekker-Méndez 13, Martha Margarita Velázquez-Aviña 10, María Luisa Pérez-Saldívar 6, Benito Alejandro Bautista-Martínez 8, Raquel Amador-Sánchez 14, Ana Itamar González-Avila 14, Silvia Jiménez-Morales 15 , David Aldebarán Duarte-Rodríguez 6, Jessica Denisse Santillán-Juárez 16, Alejandra Jimena García-Velázquez 16, Haydeé Rosas-Vargas 2,* and Juan Manuel Mejía-Aranguré 17,* 1 CONACyT-Unidad de Investigacion Medica en Epidemiologia Clinica, Hospital de Pediatria, Centro Medico Siglo XXI, IMSS, 06720 Mexico City, Mexico; [email protected] (M.M.-R.); [email protected] (O.A.S.-R.) 2 Unidad de Investigacion Medica en Genética Humana, Hospital de Pediatria, Centro Medico Nacional -
Integrative Genomics Analyses Reveal Molecularly Distinct Subgroups of B-Cell Chronic Lymphocytic Leukemia Patients with 13Q14 Deletion
Published OnlineFirst October 14, 2010; DOI: 10.1158/1078-0432.CCR-10-0151 Clinical Cancer Human Cancer Biology Research Integrative Genomics Analyses Reveal Molecularly Distinct Subgroups of B-Cell Chronic Lymphocytic Leukemia Patients with 13q14 Deletion Laura Mosca1, Sonia Fabris1, Marta Lionetti1, Katia Todoerti1, Luca Agnelli1, Fortunato Morabito2, Giovanna Cutrona3, Adrian Andronache1, Serena Matis3, Francesco Ferrari4, Massimo Gentile2, Mauro Spriano5, Vincenzo Callea6, Gianluca Festini7, Stefano Molica8, Giorgio Lambertenghi Deliliers1, Silvio Bicciato4, Manlio Ferrarini3,9, and Antonino Neri1 Abstract Purpose: Chromosome 13q14 deletion occurs in a substantial number of chronic lymphocytic leukemia (CLL) patients and it is believed to play a pathogenetic role. The exact mechanisms involved in this lesion have not yet been fully elucidated because of its heterogeneity and the imprecise knowledge of the implicated genes. This study was addressed to further contribute to the molecular definition of this lesion in CLL. Experimental Design: We applied single-nucleotide polymorphism (SNP)-array technology and gene expression profiling data to investigate the 13q14 deletion occurring in a panel of 100 untreated, early-stage (Binet A) patients representative of the major genetics, molecular, and biological features of the disease. Results: Concordantly with FISH analysis, SNP arrays identified 44 patients with del(13)(q14) including 11 cases with a biallelic deletion. The shorter monoallelic deletion was 635-kb long. The loss of the miR-15a/16-1 cluster occurred in all del(13)(q14) cases except in 2 patients with a monoallelic deletion, who retained both copies. MiR-15a/16 expression was significantly downregulated only in patients with the biallelic loss of the miRNA cluster compared to 13q normal cases. -
Article Association of Systemic Lupus Erythematosus
Article Association of Systemic Lupus Erythematosus Susceptibility Genes with IgA Nephropathy in a Chinese Cohort Xu-Jie Zhou, Fa-Juan Cheng, Li Zhu, Ji-Cheng Lv, Yuan-Yuan Qi, Ping Hou, and Hong Zhang Abstract Background and objectives One hypothesis states that IgA nephropathy (IgAN) is a syndrome with an Renal Division, Peking University First autoimmune component. Recent studies strongly support the notion of shared genetics between immune-related Hospital; Peking diseases. This study investigated single-nucleotide polymorphisms (SNPs) reported to be associated with University Institute of systemic lupus erythematosus (SLE) in a Chinese cohort of patients with IgAN and in controls. Nephrology; Key Laboratory of Renal Disease, Ministry of Design, setting, participants, & measurements This study investigated whether SNP markers that had been Health of China; and reported to be associated with SLE were also associated with IgAN in a Chinese population. The study cohort Key Laboratory of consisted of 1194 patients with IgAN and 902 controls enrolled in Peking University First Hospital from 1997 to Chronic Kidney 2008. Disease Prevention and Treatment (Peking University), Ministry , 3 25 Results Ninety-six SNPs mapping to 60 SLE loci with reported P values 1 10 were investigated. CFH of Education, Beijing, 2 2 2 2 2 (P=8.41310 6), HLA-DRA (P=4.91310 6), HLA-DRB1 (P=9.46310 9), PXK (P=3.62310 4), BLK (P=9.32310 3), People’s Republic of and UBE2L3 (P=4.0731023) were identified as shared genes between IgAN and SLE. All associations reported China herein were corroborated by associations at neighboring SNPs.