Epigenetic Reprogramming Underlies Efficacy of DNA Demethylation
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PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
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. -
Alternative Haplotypes of Antigen Processing Genes in Zebrafish Diverged Early in Vertebrate Evolution
Alternative haplotypes of antigen processing genes in PNAS PLUS zebrafish diverged early in vertebrate evolution Sean C. McConnella,1, Kyle M. Hernandezb, Dustin J. Wciselc,d, Ross N. Kettleboroughe, Derek L. Stemplee, Jeffrey A. Yoderc,d,f, Jorge Andradeb, and Jill L. O. de Jonga,1 aSection of Hematology-Oncology and Stem Cell Transplant, Department of Pediatrics, The University of Chicago, Chicago, IL 60637; bCenter for Research Informatics, The University of Chicago, Chicago, IL 60637; cDepartment of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607; dGenomic Sciences Graduate Program, North Carolina State University, Raleigh, NC 27607; eVertebrate Development and Genetics, Wellcome Trust Sanger Institute, Cambridge CB10 1SA, United Kingdom; and fComparative Medicine Institute, North Carolina State University, Raleigh, NC 27607 Edited by Peter Parham, Stanford University School of Medicine, Stanford, CA, and accepted by Editorial Board Member Peter Cresswell June 23, 2016 (received for review May 16, 2016) Antigen processing and presentation genes found within the Recent genomic studies have offered considerable insights into MHC are among the most highly polymorphic genes of vertebrate the evolution of the vertebrate adaptive immune system by com- genomes, providing populations with diverse immune responses to a paring phylogenetically divergent species (11–14). Throughout wide array of pathogens. Here, we describe transcriptome, exome, vertebrates, gene linkage within the MHC region is highly con- and whole-genome sequencing of clonal zebrafish, uncovering the served. For example, MHCI and antigen processing genes remain most extensive diversity within the antigen processing and presen- tightly linked in sharks, members of the oldest vertebrate lineage tation genes of any species yet examined. -
HSD17B8 (NM 014234) Human Tagged ORF Clone – RG203806
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 RG203806 HSD17B8 (NM_014234) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: HSD17B8 (NM_014234) Human Tagged ORF Clone Tag: TurboGFP Symbol: HSD17B8 Synonyms: D6S2245E; dJ1033B10.9; FABG; FABGL; H2-KE6; HKE6; KE6; RING2; SDR30C1 Vector: pCMV6-AC-GFP (PS100010) E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: Neomycin ORF Nucleotide >RG203806 representing NM_014234 Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGGCGTCTCAGCTCCAGAACCGACTCCGCTCCGCACTGGCCTTGGTCACAGGTGCGGGGAGCGGCATCG GCCGAGCGGTCAGTGTACGCCTGGCCGGAGAGGGGGCCACCGTAGCTGCCTGCGACCTGGACCGGGCAGC GGCACAGGAGACGGTGCGGCTGCTGGGCGGGCCAGGGAGCAAGGAGGGGCCGCCCCGAGGGAACCATGCT GCCTTCCAGGCTGACGTGTCTGAGGCCAGGGCCGCCAGGTGCCTGCTGGAACAAGTGCAGGCCTGCTTTT CTCGCCCACCATCTGTCGTTGTGTCCTGTGCGGGCATCACCCAGGATGAGTTTCTGCTGCACATGTCTGA GGATGACTGGGACAAAGTCATAGCTGTCAACCTCAAGGGCACCTTCCTAGTCACTCAGGCTGCAGCACAA GCCCTGGTGTCCAATGGTTGTCGTGGTTCCATCATCAACATCAGTAGCATCGTAGGAAAGGTGGGGAACG TGGGGCAGACAAACTATGCAGCATCCAAGGCTGGAGTGATTGGGCTGACCCAGACCGCAGCCCGGGAGCT TGGACGACATGGGATCCGCTGTAACTCTGTCCTCCCAGGGTTCATTGCAACACCCATGACACAGAAAGTG CCACAGAAAGTGGTGGACAAGATTACTGAAATGATCCCGATGGGACACTTGGGGGACCCTGAGGATGTGG CAGATGTGGTCGCATTCTTGGCATCTGAAGATAGTGGATACATCACAGGGACCTCAGTGGAAGTCACTGG AGGTCTTTTCATG ACGCGTACGCGGCCGCTCGAG -
Viewpoint, from the Literature, Most of the Genes in Our Sets Are Known to Be Strongly Related to Cancer
BMC Bioinformatics BioMed Central Research Open Access A voting approach to identify a small number of highly predictive genes using multiple classifiers Md Rafiul Hassan*1, M Maruf Hossain*1, James Bailey1,2, Geoff Macintyre1,2, Joshua WK Ho3,4 and Kotagiri Ramamohanarao1,2 Address: 1Department of Computer Science and Software Engineering, The University of Melbourne, Victoria 3010, Australia, 2NICTA Victoria Laboratory, The University of Melbourne, Victoria 3010, Australia, 3School of Information Technologies, The University of Sydney, NSW 2006, Australia and 4NICTA, Australian Technology Park, Eveleigh, NSW 2015, Australia Email: Md Rafiul Hassan* - [email protected]; M Maruf Hossain* - [email protected]; James Bailey - [email protected]; Geoff Macintyre - [email protected]; Joshua WK Ho - [email protected]; Kotagiri Ramamohanarao - [email protected] * Corresponding authors from The Seventh Asia Pacific Bioinformatics Conference (APBC 2009) Beijing, China. 13–16 January 2009 Published: 30 January 2009 <supplement> <title> <p>Selected papers from the Seventh Asia-Pacific Bioinformatics Conference (APBC 2009)</p> </title> <editor>Michael Q Zhang, Michael S Waterman and Xuegong Zhang</editor> <note>Research</note> </supplement> BMC Bioinformatics 2009, 10(Suppl 1):S19 doi:10.1186/1471-2105-10-S1-S19 This article is available from: http://www.biomedcentral.com/1471-2105/10/S1/S19 © 2009 Hassan et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
Sex-Differential DNA Methylation and Associated Regulation Networks in Human Brain Implicated in the Sex-Biased Risks of Psychiatric Disorders
Molecular Psychiatry https://doi.org/10.1038/s41380-019-0416-2 ARTICLE Sex-differential DNA methylation and associated regulation networks in human brain implicated in the sex-biased risks of psychiatric disorders 1,2 1,2 1 2 3 4 4 4 Yan Xia ● Rujia Dai ● Kangli Wang ● Chuan Jiao ● Chunling Zhang ● Yuchen Xu ● Honglei Li ● Xi Jing ● 1 1,5 2 6 1,2,7 1,2,8 Yu Chen ● Yi Jiang ● Richard F. Kopp ● Gina Giase ● Chao Chen ● Chunyu Liu Received: 8 November 2018 / Revised: 18 March 2019 / Accepted: 22 March 2019 © Springer Nature Limited 2019 Abstract Many psychiatric disorders are characterized by a strong sex difference, but the mechanisms behind sex-bias are not fully understood. DNA methylation plays important roles in regulating gene expression, ultimately impacting sexually different characteristics of the human brain. Most previous literature focused on DNA methylation alone without considering the regulatory network and its contribution to sex-bias of psychiatric disorders. Since DNA methylation acts in a complex regulatory network to connect genetic and environmental factors with high-order brain functions, we investigated the 1234567890();,: 1234567890();,: regulatory networks associated with different DNA methylation and assessed their contribution to the risks of psychiatric disorders. We compiled data from 1408 postmortem brain samples in 3 collections to identify sex-differentially methylated positions (DMPs) and regions (DMRs). We identified and replicated thousands of DMPs and DMRs. The DMR genes were enriched in neuronal related pathways. We extended the regulatory networks related to sex-differential methylation and psychiatric disorders by integrating methylation quantitative trait loci (meQTLs), gene expression, and protein–protein interaction data. -
In This Table Protein Name, Uniprot Code, Gene Name P-Value
Supplementary Table S1: In this table protein name, uniprot code, gene name p-value and Fold change (FC) for each comparison are shown, for 299 of the 301 significantly regulated proteins found in both comparisons (p-value<0.01, fold change (FC) >+/-0.37) ALS versus control and FTLD-U versus control. Two uncharacterized proteins have been excluded from this list Protein name Uniprot Gene name p value FC FTLD-U p value FC ALS FTLD-U ALS Cytochrome b-c1 complex P14927 UQCRB 1.534E-03 -1.591E+00 6.005E-04 -1.639E+00 subunit 7 NADH dehydrogenase O95182 NDUFA7 4.127E-04 -9.471E-01 3.467E-05 -1.643E+00 [ubiquinone] 1 alpha subcomplex subunit 7 NADH dehydrogenase O43678 NDUFA2 3.230E-04 -9.145E-01 2.113E-04 -1.450E+00 [ubiquinone] 1 alpha subcomplex subunit 2 NADH dehydrogenase O43920 NDUFS5 1.769E-04 -8.829E-01 3.235E-05 -1.007E+00 [ubiquinone] iron-sulfur protein 5 ARF GTPase-activating A0A0C4DGN6 GIT1 1.306E-03 -8.810E-01 1.115E-03 -7.228E-01 protein GIT1 Methylglutaconyl-CoA Q13825 AUH 6.097E-04 -7.666E-01 5.619E-06 -1.178E+00 hydratase, mitochondrial ADP/ATP translocase 1 P12235 SLC25A4 6.068E-03 -6.095E-01 3.595E-04 -1.011E+00 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 Protein kinase C and casein Q9BY11 PACSIN1 3.837E-03 -5.863E-01 3.680E-06 -1.824E+00 kinase substrate in neurons protein 1 Tubulin polymerization- O94811 TPPP 6.466E-03 -5.755E-01 6.943E-06 -1.169E+00 promoting protein MIC C9JRZ6 CHCHD3 2.912E-02 -6.187E-01 2.195E-03 -9.781E-01 Mitochondrial 2- -
Differential Expression and Co-Expression Gene Networks Reveal Candidate Biomarkers of Boar Taint in Non-Castrated Pigs
Downloaded from orbit.dtu.dk on: Oct 06, 2021 Differential expression and co-expression gene networks reveal candidate biomarkers of boar taint in non-castrated pigs Drag, Markus; Skinkyté-Juskiené, Ruta; Do, Duy N.; Kogelman, Lisette J. A.; Kadarmideen, Haja N. Published in: Scientific Reports Link to article, DOI: 10.1038/s41598-017-11928-0 Publication date: 2017 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Drag, M., Skinkyté-Juskiené, R., Do, D. N., Kogelman, L. J. A., & Kadarmideen, H. N. (2017). Differential expression and co-expression gene networks reveal candidate biomarkers of boar taint in non-castrated pigs. Scientific Reports, 7(1), [12205]. https://doi.org/10.1038/s41598-017-11928-0 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. www.nature.com/scientificreports OPEN Differential expression and co- expression gene networks reveal candidate biomarkers of boar taint Received: 8 November 2016 Accepted: 1 September 2017 in non-castrated pigs Published: xx xx xxxx Markus Drag 1,4, Ruta Skinkyté-Juskiené 1, Duy N. -
Gene Silencing of TSPYL5 Mediated by Aberrant Promoter Methylation in Gastric Cancers Yeonjoo Jung1, Jinah Park1, Yung-Jue Bang1,2 and Tae-You Kim1,2
Laboratory Investigation (2008) 88, 153–160 & 2008 USCAP, Inc All rights reserved 0023-6837/08 $30.00 Gene silencing of TSPYL5 mediated by aberrant promoter methylation in gastric cancers Yeonjoo Jung1, Jinah Park1, Yung-Jue Bang1,2 and Tae-You Kim1,2 DNA methylation is crucial for normal development, but gene expression altered by DNA hypermethylation is often associated with human diseases, especially cancers. The gene TSPYL5, encoding testis-specific Y-like protein, was pre- viously identified in microarray screens for genes induced by the inhibition of DNA methylation and histone deacetylation in glioma cell lines. The TSPYL5 showed a high frequency of DNA methylation-mediated silencing in both glioma cell lines and primary glial tumors. We now report that TSPYL5 is also inactivated by DNA methylation and could be a putative epigenetic target gene in gastric cancers. We found that the expression of TSPYL5 mRNA was frequently downregulated and inversely correlated with DNA methylation in seven out of nine gastric cancer cell lines. TSPYL5 mRNA expression was also restored after treating with a DNA methyltransferase inhibitor. In primary gastric tumors, methylation-specific PCR results in 23 of the 36 (63.9%) cases revealed that the hypermethylation at CpG islands of the TSPYL5 was detectable at a high frequency. Furthermore, TSPYL5 suppressed the growth of gastric cancer cells as demonstrated by a colony for- mation assay. Thus, strong associations between TSPYL5 expression and hypermethylation were observed, and aberrant methylation at a CpG island of TSPYL5 may play an important role in development of gastric cancers. Laboratory Investigation (2008) 88, 153–160; doi:10.1038/labinvest.3700706; published online 3 December 2007 KEYWORDS: DNMT inhibitor; gastric cancer; NAP domain; promoter hypermethylation; TSPYL5 Epigenetic events are heritable modifications that regulate TSPYL6. -
Rna-Sequencing Applications: Gene Expression Quantification and Methylator Phenotype Identification
The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 8-2013 RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION Guoshuai Cai Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Bioinformatics Commons, Computational Biology Commons, and the Medicine and Health Sciences Commons Recommended Citation Cai, Guoshuai, "RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION" (2013). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 386. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/386 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION -
Single-Nucleotide Polymorphisms in the TSPYL-4 and NT5DC1 Genes Are Associated with Susceptibility to Chronic Obstructive Pulmonary Disease
MOLECULAR MEDICINE REPORTS 6: 631-638, 2012 Single-nucleotide polymorphisms in the TSPYL-4 and NT5DC1 genes are associated with susceptibility to chronic obstructive pulmonary disease YI GUO1*, YI GONG2*, GUOCHAO SHI1, KUN YANG1, CHUNMING PAN3, MIN LI1, QINGYUN LI1, QIJIAN CHENG1, RANRAN DAI1, LIANG FAN1 and HUANYING WAN1 1Department of Respiratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University (SJTU), School of Medicine; 2Department of Respiratory Medicine, Huashan Hospital, Fudan University; 3Ruijin Hospital, State Key Laboratory of Medical Genomics, Molecular Medicine Center, Shanghai Jiao Tong University (SJTU), School of Medicine, Shanghai 200025, P.R. China Received February 12, 2012; Accepted June 18, 2012 DOI: 10.3892/mmr.2012.964 Abstract. The risk of developing chronic obstructive pulmo- block. We constructed the TSPYL-4 and NT5DC1 haplo- nary disease (COPD) is partially determined by genetic types of the cases and controls, but no significant difference and environmental factors. Many published candidate gene between the two groups was found. rs3749893 A allele of studies show conflicting results due to ethnic differences TSPYL-4 and rs1052443 C allele of NT5DC1 were associated and sample sizes. The number of these studies carried out in with a protective effect against the deterioration of pulmonary Chinese populations is small. To investigate candidate genes function. In conclusion, TSPYL-4 and NT5DC1 gene poly- and haplotypes for susceptibility to COPD in a southern morphisms are associated with susceptibility to COPD and Han Chinese population, we performed genotyping of DNA pulmonary function. samples in 200 COPD patients and 250 control subjects by analyzing 54 single-nucleotide polymorphisms (SNPs) in Introduction 23 genes associated with the development of COPD and/or pulmonary function identified by genome-wide association Chronic obstructive pulmonary disease (COPD) is expected studies (GWAS). -
High Resolution Physical Map of Porcine Chromosome 7 QTL Region and Comparative Mapping of This Region Among Vertebrate Genomes
High resolution physical map of porcine chromosome 7 QTL region and comparative mapping of this region among vertebrate genomes Julie Demars, Juliette Riquet, Katia Feve, Mathieu Gautier, Mireille Morisson, Olivier Demeure, Christine Renard, Patrick Chardon, Denis Milan To cite this version: Julie Demars, Juliette Riquet, Katia Feve, Mathieu Gautier, Mireille Morisson, et al.. High resolution physical map of porcine chromosome 7 QTL region and comparative mapping of this region among vertebrate genomes. BMC Genomics, BioMed Central, 2006, 7, pp.13. 10.1186/1471-2164-7-13. hal-02661326 HAL Id: hal-02661326 https://hal.inrae.fr/hal-02661326 Submitted on 30 May 2020 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. BMC Genomics BioMed Central Research article Open Access High resolution physical map of porcine chromosome 7 QTL region and comparative mapping of this region among vertebrate genomes Julie Demars1, Juliette Riquet1, Katia Feve1, Mathieu Gautier2, Mireille Morisson1, Olivier Demeure3, Christine Renard4, Patrick Chardon4 and Denis Milan*1 Address: