Comprehensive Genome Methylation Analysis in Bladder Cancer: Identification and Validation of Novel Methylated Genes and Application of These As Urinary Tumor Markers
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University of California, San Diego
UNIVERSITY OF CALIFORNIA, SAN DIEGO The post-terminal differentiation fate of RNAs revealed by next-generation sequencing A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biomedical Sciences by Gloria Kuo Lefkowitz Committee in Charge: Professor Benjamin D. Yu, Chair Professor Richard Gallo Professor Bruce A. Hamilton Professor Miles F. Wilkinson Professor Eugene Yeo 2012 Copyright Gloria Kuo Lefkowitz, 2012 All rights reserved. The Dissertation of Gloria Kuo Lefkowitz is approved, and it is acceptable in quality and form for publication on microfilm and electronically: __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ Chair University of California, San Diego 2012 iii DEDICATION Ma and Ba, for your early indulgence and support. Matt and James, for choosing more practical callings. Roy, my love, for patiently sharing the ups and downs of this journey. iv EPIGRAPH It is foolish to tear one's hair in grief, as though sorrow would be made less by baldness. ~Cicero v TABLE OF CONTENTS Signature Page .............................................................................................................. iii Dedication .................................................................................................................... -
Prediction of Host-Virus Interaction Networks
Prediction of host-virus interaction networks Janet M. Doolittle A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Curriculum of Bioinformatics and Computational Biology. Chapel Hill 2012 Approved by: Tim Elston, PhD Shawn Gomez, Eng.Sc.D. Klaus Hahn, PhD Keith Burridge, PhD Anne Taylor, PhD Jennifer Webster-Cyriaque, PhD ©2012 Janet M. Doolittle ALL RIGHTS RESERVED ii ABSTRACT JANET DOOLITTLE: Prediction of host-virus interaction networks (Under the direction of Shawn Gomez) As with other viral pathogens, HIV-1 and dengue virus (DENV) are dependent on their hosts for the bulk of the functions necessary for viral survival and replication. Thus, successful infection depends on the pathogen's ability to manipulate the biological pathways and processes of the organism it infects, while avoiding elimination by the immune system. Protein-protein interactions are one avenue through which viruses can connect with and exploit these host cellular pathways and processes. We developed a computational approach to predict interactions between HIV and human proteins based on structural similarity of 9 HIV-1 proteins to human proteins having known interactions. Using functional data from RNAi studies as a filter, we generated over 2,000 interaction predictions between HIV proteins and 406 unique human proteins. Additional filtering based on Gene Ontology cellular component annotation reduced the number of predictions to 502 interactions involving 137 human proteins. We find numerous known interactions as well as novel interactions showing significant functional relevance based on supporting Gene Ontology and literature evidence. -
Histone-Related Genes Are Hypermethylated in Lung Cancer
Published OnlineFirst October 1, 2019; DOI: 10.1158/0008-5472.CAN-19-1019 Cancer Genome and Epigenome Research Histone-Related Genes Are Hypermethylated in Lung Cancer and Hypermethylated HIST1H4F Could Serve as a Pan-Cancer Biomarker Shihua Dong1,Wei Li1, Lin Wang2, Jie Hu3,Yuanlin Song3, Baolong Zhang1, Xiaoguang Ren1, Shimeng Ji3, Jin Li1, Peng Xu1, Ying Liang1, Gang Chen4, Jia-Tao Lou2, and Wenqiang Yu1 Abstract Lung cancer is the leading cause of cancer-related deaths lated in all 17 tumor types from TCGA datasets (n ¼ 7,344), worldwide. Cytologic examination is the current "gold stan- which was further validated in nine different types of cancer dard" for lung cancer diagnosis, however, this has low sensi- (n ¼ 243). These results demonstrate that HIST1H4F can tivity. Here, we identified a typical methylation signature of function as a universal-cancer-only methylation (UCOM) histone genes in lung cancer by whole-genome DNA methyl- marker, which may aid in understanding general tumorigen- ation analysis, which was validated by The Cancer Genome esis and improve screening for early cancer diagnosis. Atlas (TCGA) lung cancer cohort (n ¼ 907) and was further confirmed in 265 bronchoalveolar lavage fluid samples with Significance: These findings identify a new biomarker for specificity and sensitivity of 96.7% and 87.0%, respectively. cancer detection and show that hypermethylation of histone- More importantly, HIST1H4F was universally hypermethy- related genes seems to persist across cancers. Introduction to its low specificity, LDCT is far from satisfactory as a screening tool for clinical application, similar to other currently used cancer Lung cancer is one of the most common malignant tumors and biomarkers, such as carcinoembryonic antigen (CEA), neuron- the leading cause of cancer-related deaths worldwide (1, 2). -
Genome-Wide DNA Methylation Analysis Reveals Molecular Subtypes of Pancreatic Cancer
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 17), pp: 28990-29012 Research Paper Genome-wide DNA methylation analysis reveals molecular subtypes of pancreatic cancer Nitish Kumar Mishra1 and Chittibabu Guda1,2,3,4 1Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA 2Bioinformatics and Systems Biology Core, University of Nebraska Medical Center, Omaha, NE, 68198, USA 3Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA 4Fred and Pamela Buffet Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA Correspondence to: Chittibabu Guda, email: [email protected] Keywords: TCGA, pancreatic cancer, differential methylation, integrative analysis, molecular subtypes Received: October 20, 2016 Accepted: February 12, 2017 Published: March 07, 2017 Copyright: Mishra et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Pancreatic cancer (PC) is the fourth leading cause of cancer deaths in the United States with a five-year patient survival rate of only 6%. Early detection and treatment of this disease is hampered due to lack of reliable diagnostic and prognostic markers. Recent studies have shown that dynamic changes in the global DNA methylation and gene expression patterns play key roles in the PC development; hence, provide valuable insights for better understanding the initiation and progression of PC. In the current study, we used DNA methylation, gene expression, copy number, mutational and clinical data from pancreatic patients. -
The Database of Chromosome Imbalance Regions and Genes
Lo et al. BMC Cancer 2012, 12:235 http://www.biomedcentral.com/1471-2407/12/235 RESEARCH ARTICLE Open Access The database of chromosome imbalance regions and genes resided in lung cancer from Asian and Caucasian identified by array-comparative genomic hybridization Fang-Yi Lo1, Jer-Wei Chang1, I-Shou Chang2, Yann-Jang Chen3, Han-Shui Hsu4, Shiu-Feng Kathy Huang5, Fang-Yu Tsai2, Shih Sheng Jiang2, Rajani Kanteti6, Suvobroto Nandi6, Ravi Salgia6 and Yi-Ching Wang1* Abstract Background: Cancer-related genes show racial differences. Therefore, identification and characterization of DNA copy number alteration regions in different racial groups helps to dissect the mechanism of tumorigenesis. Methods: Array-comparative genomic hybridization (array-CGH) was analyzed for DNA copy number profile in 40 Asian and 20 Caucasian lung cancer patients. Three methods including MetaCore analysis for disease and pathway correlations, concordance analysis between array-CGH database and the expression array database, and literature search for copy number variation genes were performed to select novel lung cancer candidate genes. Four candidate oncogenes were validated for DNA copy number and mRNA and protein expression by quantitative polymerase chain reaction (qPCR), chromogenic in situ hybridization (CISH), reverse transcriptase-qPCR (RT-qPCR), and immunohistochemistry (IHC) in more patients. Results: We identified 20 chromosomal imbalance regions harboring 459 genes for Caucasian and 17 regions containing 476 genes for Asian lung cancer patients. Seven common chromosomal imbalance regions harboring 117 genes, included gain on 3p13-14, 6p22.1, 9q21.13, 13q14.1, and 17p13.3; and loss on 3p22.2-22.3 and 13q13.3 were found both in Asian and Caucasian patients. -
Mai Muudatuntuu Ti on Man Mini
MAIMUUDATUNTUU US009809854B2 TI ON MAN MINI (12 ) United States Patent ( 10 ) Patent No. : US 9 ,809 ,854 B2 Crow et al. (45 ) Date of Patent : Nov . 7 , 2017 Whitehead et al. (2005 ) Variation in tissue - specific gene expression ( 54 ) BIOMARKERS FOR DISEASE ACTIVITY among natural populations. Genome Biology, 6 :R13 . * AND CLINICAL MANIFESTATIONS Villanueva et al. ( 2011 ) Netting Neutrophils Induce Endothelial SYSTEMIC LUPUS ERYTHEMATOSUS Damage , Infiltrate Tissues, and Expose Immunostimulatory Mol ecules in Systemic Lupus Erythematosus . The Journal of Immunol @(71 ) Applicant: NEW YORK SOCIETY FOR THE ogy , 187 : 538 - 552 . * RUPTURED AND CRIPPLED Bijl et al. (2001 ) Fas expression on peripheral blood lymphocytes in MAINTAINING THE HOSPITAL , systemic lupus erythematosus ( SLE ) : relation to lymphocyte acti vation and disease activity . Lupus, 10 :866 - 872 . * New York , NY (US ) Crow et al . (2003 ) Microarray analysis of gene expression in lupus. Arthritis Research and Therapy , 5 :279 - 287 . * @(72 ) Inventors : Mary K . Crow , New York , NY (US ) ; Baechler et al . ( 2003 ) Interferon - inducible gene expression signa Mikhail Olferiev , Mount Kisco , NY ture in peripheral blood cells of patients with severe lupus . PNAS , (US ) 100 ( 5 ) : 2610 - 2615. * GeneCards database entry for IFIT3 ( obtained from < http : / /www . ( 73 ) Assignee : NEW YORK SOCIETY FOR THE genecards. org /cgi - bin / carddisp .pl ? gene = IFIT3 > on May 26 , 2016 , RUPTURED AND CRIPPLED 15 pages ) . * Navarra et al. (2011 ) Efficacy and safety of belimumab in patients MAINTAINING THE HOSPITAL with active systemic lupus erythematosus : a randomised , placebo FOR SPECIAL SURGERY , New controlled , phase 3 trial . The Lancet , 377 :721 - 731. * York , NY (US ) Abramson et al . ( 1983 ) Arthritis Rheum . -
Network-Based Bioinformatics Analysis of Spatio
The Author(s) BMC Genomics 2016, 17(Suppl 5):495 DOI 10.1186/s12864-016-2822-z RESEARCH Open Access Network-based bioinformatics analysis of spatio-temporal RNA-Seq data reveals transcriptional programs underpinning normal and aberrant retinal development Devi Krishna Priya Karunakaran1†, Sahar Al Seesi2†, Abdul Rouf Banday1, Marybeth Baumgartner1, Anouk Olthof1,3, Christopher Lemoine1, Ion I. Măndoiu2 and Rahul N. Kanadia1* From 11th International Symposium on Bioinformatics Research and Applications (ISBRA '15) Norfolk, VA, USA. 7-10 June 2015 Abstract Background: The retina as a model system with extensive information on genes involved in development/maintenance is of great value for investigations employing deep sequencing to capture transcriptome change over time. This in turn couldenableustofindpatternsingeneexpressionacrosstimetorevealtransitioninbiologicalprocesses. Methods: We developed a bioinformatics pipeline to categorize genes based on their differential expression and their alternative splicing status across time by binning genes based on their transcriptional kinetics. Genes within same bins were then leveraged to query gene annotation databases to discover molecular programs employed by the developing retina. Results: Using our pipeline on RNA-Seq data obtained from fractionated (nucleus/cytoplasm) developing retina at embryonic day (E) 16 and postnatal day (P) 0, we captured high-resolution as in the difference between the cytoplasm and the nucleus at the same developmental time. We found de novo transcription of genes whose transcripts were exclusively found in the nuclear transcriptome at P0. Further analysis showed that these genes enriched for functions that are known to be executed during postnatal development, thus showing that the P0 nuclear transcriptome is temporally ahead of that of its cytoplasm. -
University of California, San Diego
UC San Diego UC San Diego Electronic Theses and Dissertations Title The post-terminal differentiation fate of RNAs revealed by next-generation sequencing Permalink https://escholarship.org/uc/item/7324r1rj Author Lefkowitz, Gloria Kuo Publication Date 2012 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO The post-terminal differentiation fate of RNAs revealed by next-generation sequencing A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biomedical Sciences by Gloria Kuo Lefkowitz Committee in Charge: Professor Benjamin D. Yu, Chair Professor Richard Gallo Professor Bruce A. Hamilton Professor Miles F. Wilkinson Professor Eugene Yeo 2012 Copyright Gloria Kuo Lefkowitz, 2012 All rights reserved. The Dissertation of Gloria Kuo Lefkowitz is approved, and it is acceptable in quality and form for publication on microfilm and electronically: __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ __________________________________________________________________ Chair University of California, San Diego 2012 iii DEDICATION Ma and Ba, for your early indulgence and support. Matt and James, for choosing more practical callings. Roy, my love, for patiently sharing the ups and downs -
RNA-Seq Analysis of Seasonal and Individual Variation in Blood Transcriptomes of Healthy Managed Bottlenose Dolphins Jeanine S
Morey et al. BMC Genomics (2016) 17:720 DOI 10.1186/s12864-016-3020-8 RESEARCH ARTICLE Open Access RNA-Seq analysis of seasonal and individual variation in blood transcriptomes of healthy managed bottlenose dolphins Jeanine S. Morey1*, Marion G. Neely1, Denise Lunardi2, Paul E. Anderson3, Lori H. Schwacke1, Michelle Campbell4 and Frances M. Van Dolah1,5* Abstract Background: The blood transcriptome can reflect both systemic exposures and pathological changes in other organs of the body because immune cells recirculate through the blood, lymphoid tissues, and affected sites. In human and veterinary medicine, blood transcriptome analysis has been used successfully to identify markers of disease or pathological conditions, but can be confounded by large seasonal changes in expression. In comparison, the use of transcriptomic based analyses in wildlife has been limited. Here we report a longitudinal study of four managed bottlenose dolphins located in Waikoloa, Hawaii, serially sampled (approximately monthly) over the course of 1 year to establish baseline information on the content and variation of the dolphin blood transcriptome. Results: Illumina based RNA-seq analyses were carried out using both the Ensembl dolphin genome and a de novo blood transcriptome as guides. Overall, the blood transcriptome encompassed a wide array of cellular functions and processes and was relatively stable within and between animals over the course of 1 year. Principal components analysis revealed moderate clustering by sex associated with the variation among global gene expression profiles (PC1, 22 % of variance). Limited seasonal change was observed, with < 2.5 % of genes differentially expressed between winter and summer months (FDR < 0.05). -
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. -
Supplemental Data.Pdf
Supplementary material -Table of content Supplementary Figures (Fig 1- Fig 6) Supplementary Tables (1-13) Lists of genes belonging to distinct biological processes identified by GREAT analyses to be significantly enriched with UBTF1/2-bound genes Supplementary Table 14 List of the common UBTF1/2 bound genes within +/- 2kb of their TSSs in NIH3T3 and HMECs. Supplementary Table 15 List of gene identified by microarray expression analysis to be differentially regulated following UBTF1/2 knockdown by siRNA Supplementary Table 16 List of UBTF1/2 binding regions overlapping with histone genes in NIH3T3 cells Supplementary Table 17 List of UBTF1/2 binding regions overlapping with histone genes in HMEC Supplementary Table 18 Sequences of short interfering RNA oligonucleotides Supplementary Table 19 qPCR primer sequences for qChIP experiments Supplementary Table 20 qPCR primer sequences for reverse transcription-qPCR Supplementary Table 21 Sequences of primers used in CHART-PCR Supplementary Methods Supplementary Fig 1. (A) ChIP-seq analysis of UBTF1/2 and Pol I (POLR1A) binding across mouse rDNA. UBTF1/2 is enriched at the enhancer and promoter regions and along the entire transcribed portions of rDNA with little if any enrichment in the intergenic spacer (IGS), which separates the rDNA repeats. This enrichment coincides with the distribution of the largest subunit of Pol I (POLR1A) across the rDNA. All sequencing reads were mapped to the published complete sequence of the mouse rDNA repeat (Gene bank accession number: BK000964). The graph represents the frequency of ribosomal sequences enriched in UBTF1/2 and Pol I-ChIPed DNA expressed as fold change over those of input genomic DNA. -
Leveraging Omics Data to Expand the Value and Understanding of Alternative Splicing
Leveraging Omics Data to Expand the Value and Understanding of Alternative Splicing By ______________________ Nathan T. Johnson A Dissertation Submitted to the Faculty of WORCESTER POLYTECHNIC INSTITUTE In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy In Bioinformatics & Computational Biology APPROVED: __________________________ __________________________ Dmitry Korkin, Ph.D. Amity L. Manning, Ph.D. Advisor Committee Member Program Director __________________________ __________________________ Zheyang Wu, Ph.D. Scarlet Shell, Ph.D. Committee Member Committee Member __________________________ Ben Raphael, Ph.D. External Committee Member i “Science, my boy, is made up of mistakes, but they are mistakes which it is useful to make, because they lead little by little to the truth.” Jules Verne, Journey to the Center of the Earth ii ABSTRACT Utilizing ‘omics’ data of diverse types such as genomics, proteomics, transcriptomics, epigenomics, and others has largely been attributed as holding great promise for solving the complexity of many health and ecological problems such as complex genetic diseases and parasitic destruction of farming crops. By using bioinformatics, it is possible to take advantage of ‘omics’ data to gain a systems level molecular perspective to achieve insight into possible solutions. One possible solution is understanding and expanding the use of alternative splicing (AS) of mRNA precursors. Typically, genes are considered the focal point as the main players in the molecular world. However, due to recent ‘omics’ analysis across the past decade, AS has been demonstrated to be the main player in causing protein diversity. This is possible as AS rearranges the key components of a gene (exon, intron, and untranslated regions) to generate diverse functionally unique proteins and regulatory RNAs.