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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. -
The Quaglands
PER8-03 Return to the Quaglands A One-Round Dungeons & Dragons® Living Greyhawk™ Perrenland Regional Adventure Version 1.0 by Gary Johnson Reviewed by: Bruce Paris and Britt Frey Playtesters: John Anderson, Ben Flanagan, Bronwyn Johnson, Gary Johnson (DM), Andrew Manners, Rochelle Manners, Brad Snape (player & DM), Michael Szabo, Peter Williams, Tim Woodhams A sudden crisis leaves Schwartzenbruin at risk of a devastating attack by the forces of evil. Heroes are needed to travel to the Quaglands in search of a stop-gap solution – but can they find what they're looking for in time? A one-round Perrenland Regional adventure starting in Schwartzenbruin for APLs 6-12 that may be of particular interest to those familiar with the events of The Voormann’s Daughter regional plot arc. Animal companions may have difficulty participating in parts of this scenario. Resources for this adventure [and the authors of those works] include Complete Divine [David Noonan], D&D v3.5 Accessory Update [Andy Collins, David Noonan, James Wyatt], Manual of the Planes [Bruce Cordell, Jeff Grubb, David Noonan], Monster Manual II [Ed Bonny, Jeff Grubb, Rich Redman, Skip Williams, Steve Winter], Monster Manual III [Rich Burlew, Eric Cagle, Jesse Decker, Andrew Finch, Gwendolyn Kestrel, Rich Redman, Mathew Sernett, Chris Thomasson, Nathan Toomey], PER 4-05 Regicide [James Dempsey, Mark Somers, Bruce Paris, Patrick Williamson, with thanks to Adam Cowan]. ® Based on the original DUNGEONS & DRAGONS rules created by E. Gary Gygax and Dave Arneson and the new DUNGEONS & DRAGONS game designed by Jonathan Tweet, Monte Cook, Skip Williams, Richard Baker, and Peter Adkison. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Genomic Variants Reveal Differential Evolutionary Constraints on Human Transglutaminases and Point Towards Unrecognized Significance of Transglutaminase 2
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Debrecen Electronic Archive RESEARCH ARTICLE Genomic variants reveal differential evolutionary constraints on human transglutaminases and point towards unrecognized significance of transglutaminase 2 Kiruphagaran Thangaraju1, RoÂbert KiraÂly1, MaÂte A. DemeÂny1, JaÂnos AndraÂs MoÂtyaÂn1, a1111111111 Mo nika Fuxreiter1,2, LaÂszlo FeÂsuÈs1,3* a1111111111 a1111111111 1 Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, a1111111111 Debrecen, Hungary, 2 MTA-DE Momentum Laboratory of Protein Dynamics, Faculty of Medicine, University a1111111111 of Debrecen, Debrecen, Hungary, 3 MTA-DE Stem cell, Apoptosis and Genomics Research Group of Hungarian Academy of Sciences, Faculty of Medicine, University of Debrecen, Debrecen, Hungary * [email protected] OPEN ACCESS Abstract Citation: Thangaraju K, KiraÂly R, DemeÂny MA, AndraÂs MoÂtyaÂn J, Fuxreiter M, FeÂsuÈs L (2017) Transglutaminases (TGMs) catalyze Ca2+-dependent transamidation of proteins with speci- Genomic variants reveal differential evolutionary constraints on human transglutaminases and point fied roles in blood clotting (F13a) and in cornification (TGM1, TGM3). The ubiquitous TGM2 towards unrecognized significance of has well described enzymatic and non-enzymatic functions but in-spite of numerous studies transglutaminase 2. PLoS ONE 12(3): e0172189. its physiological function in humans has not been defined. We compared data on non-syn- doi:10.1371/journal.pone.0172189 onymous single nucleotide variations (nsSNVs) and loss-of-function variants on TGM1-7 Editor: Richard L. Eckert, University of Maryland and F13a from the Exome aggregation consortium dataset, and used computational and School of Medicine, UNITED STATES biochemical analysis to reveal the roles of damaging nsSNVs of TGM2. -
TGM6 L517W Is Not a Pathogenic Variant for Spinocerebellar Ataxia Type 35
ARTICLE OPEN ACCESS TGM6 L517W is not a pathogenic variant for spinocerebellar ataxia type 35 Yanxing Chen, MD, PhD, Dengchang Wu, MD, PhD, Benyan Luo, MD, PhD, Guohua Zhao, MD, PhD, and Correspondence Kang Wang, MD, PhD Dr. Zhao [email protected] Neurol Genet 2020;6:e424. doi:10.1212/NXG.0000000000000424 or Dr. Wang [email protected] Abstract Objective To investigate the pathogenicity of the TGM6 variant for spinocerebellar ataxia 35 (SCA35), which was previously reported to be caused by pathogenic mutations in the gene TGM6. Methods Neurologic assessment and brain MRI were performed to provide detailed description of the phenotype. Whole-exome sequencing and dynamic mutation analysis were performed to identify the genotype. Results The proband, presenting with myoclonic epilepsy, cognitive decline, and ataxia, harbored both the TGM6 p.L517W variant and expanded CAG repeats in gene ATN1. Further analysis of the other living family members in this pedigree revealed that the CAG repeat number was expanded in all the patients and within normal range in all the unaffected family members. However, the TGM6 p.L517W variant was absent in 2 affected family members, but present in 3 healthy individuals. Conclusions The nonsegregation of the TGM6 variant with phenotype does not support this variant as the disease-causing gene in this pedigree, questioning the pathogenicity of TGM6 in SCA35. From the Department of Neurology (Y.C., G.Z.), the Second Affiliated Hospital, School of Medicine, Zhejiang University; and Department of Neurology (D.W., B.L., K.W.), the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China. -
Oriental Adventures James Wyatt
620_T12015 OrientalAdvCh1b.qxd 8/9/01 10:44 AM Page 2 ® ORIENTAL ADVENTURES JAMES WYATT EDITORS: GWENDOLYN F. M. KESTREL PLAYTESTERS: BILL E. ANDERSON, FRANK ARMENANTE, RICHARD BAKER, EIRIK BULL-HANSEN, ERIC CAGLE, BRAIN MICHELE CARTER CAMPBELL, JASON CARL, MICHELE CARTER, MAC CHAMBERS, TOM KRISTENSEN JENNIFER CLARKE WILKES, MONTE COOK , DANIEL COOPER, BRUCE R. CORDELL, LILY A. DOUGLAS, CHRISTIAN DUUS, TROY ADDITIONAL EDITING: DUANE MAXWELL D. ELLIS, ROBERT N. EMERSON, ANDREW FINCH , LEWIS A. FLEAK, HELGE FURUSETH, ROB HEINSOO, CORY J. HERNDON, MANAGING EDITOR: KIM MOHAN WILLIAM H. HEZELTINE, ROBERT HOBART, STEVE HORVATH, OLAV B. HOVET, TYLER T. HURST, RHONDA L. HUTCHESON, CREATIVE DIRECTOR: RICHARD BAKER JEFFREY IBACH, BRIAN JENKINS, GWENDOLYN F.M. KESTREL, TOM KRISTENSEN, CATIE A. MARTOLIN, DUANE MAXWELL, ART DIRECTOR: DAWN MURIN ANGEL LEIGH MCCOY, DANEEN MCDERMOTT, BRANDON H. MCKEE, ROBERT MOORE, DAVID NOONAN, SHERRY L. O’NEAL- GRAPHIC DESIGNER: CYNTHIA FLIEGE HANCOCK, TAMMY R. OVERSTREET, JOHN D. RATELIFF, RICH REDMAN, THOMAS REFSDAL, THOMAS M. REID, SEAN K COVER ARTIST: RAVEN MIMURA REYNOLDS, TIM RHOADES, MIKE SELINKER, JAMES B. SHARKEY, JR., STAN!, ED STARK, CHRISTIAN STENERUD, OWEN K.C. INTERIOR ARTISTS: MATT CAVOTTA STEPHENS, SCOTT B. THOMAS, CHERYL A. VANMATER-MINER, LARRY DIXON PHILIPS R. VANMATER-MINER, ALLEN WILKINS, PENNY WILLIAMS, SKIP WILLIAMS CRIS DORNAUS PRONUNCIATION HELP: DAVID MARTIN RON FOSTER, MOE MURAYAMA, CHRIS PASCUAL, STAN! RAVEN MIMURA ADDITIONAL THANKS: WAYNE REYNOLDS ED BOLME, ANDY HECKT, LUKE PETERSCHMIDT, REE SOESBEE, PAUL TIMM DARRELL RICHE RICHARD SARDINHA Dedication: To the people who have taught me about the cultures of Asia—Knight Biggerstaff, Paula Richman, and my father, RIAN NODDY B S David K. -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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 The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
1365798587786.Pdf
ISSUE 176 | MARCH 2010 A Dungeons & Dragons® Roleplaying Game Supplement CONTENTS 4 CROSS CITY RACE 47 THE KEEP ON THE CHAOS SCAR 79 EYE ON THE REALMS By James “GRIM” Desborough By Mike Mearls By Ed Greenwood Adventurers—noble and otherwise—from all across The Keep on the Borderlands is a classic adventure Tarmel Drouth was outcast from the Ilance family the land have gathered to participate in the annual site from both 1st and 2nd Edition. Updated for in Suzail, but he has not taken his banishment Cross City Race. Can you be the first across the the first time in over ten years, this iteration of lightly and seeks revenge against those who have finish line? A Dungeons & Dragons adventure for the keep is intended to be placed near the Chaos ostracized him. characters of any level. Scar as a new base of operations for heroes seeking their fortunes in the valley. 82 DUNGEONCRAFT 25 CHAOS SCAR: DEAD BY DAWN By James Wyatt 57 CODEX OF BETRAYAL: GERYON James discusses the latest changes to his fledgling By Aeryn “Blackdirge” Rudel By Ari Marmell campaign. If even the monsters of the Chaos Scar have left The Broken Beast was ruled Stygia, but was cast a place abandoned, it’s probably for good reason. down by Asmodeus despite his loyalty. Exiled from 85 RULING SKILL CHALLENGES But when night falls and the dead stir, a lost, the Pit, he now seeks a return to his former glory. mysterious temple of death might be the only By Mike Mearls hope the characters have for surviving ‘til dawn. -
Neurologic Outcomes in Friedreich Ataxia: Study of a Single-Site Cohort E415
Volume 6, Number 3, June 2020 Neurology.org/NG A peer-reviewed clinical and translational neurology open access journal ARTICLE Neurologic outcomes in Friedreich ataxia: Study of a single-site cohort e415 ARTICLE Prevalence of RFC1-mediated spinocerebellar ataxia in a North American ataxia cohort e440 ARTICLE Mutations in the m-AAA proteases AFG3L2 and SPG7 are causing isolated dominant optic atrophy e428 ARTICLE Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy revisited: Genotype-phenotype correlations of all published cases e434 Academy Officers Neurology® is a registered trademark of the American Academy of Neurology (registration valid in the United States). James C. Stevens, MD, FAAN, President Neurology® Genetics (eISSN 2376-7839) is an open access journal published Orly Avitzur, MD, MBA, FAAN, President Elect online for the American Academy of Neurology, 201 Chicago Avenue, Ann H. Tilton, MD, FAAN, Vice President Minneapolis, MN 55415, by Wolters Kluwer Health, Inc. at 14700 Citicorp Drive, Bldg. 3, Hagerstown, MD 21742. Business offices are located at Two Carlayne E. Jackson, MD, FAAN, Secretary Commerce Square, 2001 Market Street, Philadelphia, PA 19103. Production offices are located at 351 West Camden Street, Baltimore, MD 21201-2436. Janis M. Miyasaki, MD, MEd, FRCPC, FAAN, Treasurer © 2020 American Academy of Neurology. Ralph L. Sacco, MD, MS, FAAN, Past President Neurology® Genetics is an official journal of the American Academy of Neurology. Journal website: Neurology.org/ng, AAN website: AAN.com CEO, American Academy of Neurology Copyright and Permission Information: Please go to the journal website (www.neurology.org/ng) and click the Permissions tab for the relevant Mary E. -
SUPPLEMENTARY NOTE Co-Activation of GR and NFKB
SUPPLEMENTARY NOTE Co-activation of GR and NFKB alters the repertoire of their binding sites and target genes. Nagesha A.S. Rao1*, Melysia T. McCalman1,*, Panagiotis Moulos2,4, Kees-Jan Francoijs1, 2 2 3 3,5 Aristotelis Chatziioannou , Fragiskos N. Kolisis , Michael N. Alexis , Dimitra J. Mitsiou and 1,5 Hendrik G. Stunnenberg 1Department of Molecular Biology, Radboud University Nijmegen, the Netherlands 2Metabolic Engineering and Bioinformatics Group, Institute of Biological Research and Biotechnology, National Hellenic Research Foundation, Athens, Greece 3Molecular Endocrinology Programme, Institute of Biological Research and Biotechnology, National Hellenic Research Foundation, Greece 4These authors contributed equally to this work 5 Corresponding authors E-MAIL: [email protected] ; TEL: +31-24-3610524; FAX: +31-24-3610520 E-MAIL: [email protected] ; TEL: +30-210-7273741; FAX: +30-210-7273677 Running title: Global GR and NFKB crosstalk Keywords: GR, p65, genome-wide, binding sites, crosstalk SUPPLEMENTARY FIGURES/FIGURE LEGENDS AND SUPPLEMENTARY TABLES 1 Rao118042_Supplementary Fig. 1 A Primary transcript Mature mRNA TNF/DMSO TNF/DMSO 8 12 r=0.74, p< 0.001 r=0.61, p< 0.001 ) 2 ) 10 2 6 8 4 6 4 2 2 0 Fold change (mRNA) (log Fold change (primRNA) (log 0 −2 −2 −2 0 2 4 −2 0 2 4 Fold change (RNAPII) (log2) Fold change (RNAPII) (log2) B chr5: chrX: 56 _ 104 _ DMSO DMSO 1 _ 1 _ 56 _ 104 _ TA TA 1 _ 1 _ 56 _ 104 _ TNF TNF Cluster 1 1 _ Cluster 2 1 _ 56 _ 104 _ TA+TNF TA+TNF 1 _ 1 _ CCNB1 TSC22D3 chr20: chr17: 25 _ 33 _ DMSO DMSO 1 _ 1 _ 25 _ 33 _ TA TA 1 _ 1 _ 25 _ 33 _ TNF TNF Cluster 3 1 _ Cluster 4 1 _ 25 _ 33 _ TA+TNF TA+TNF 1 _ 1 _ GPCPD1 CCL2 chr6: chr22: 77 _ 35 _ DMSO DMSO 1 _ 77 _ 1 _ 35 _ TA TA 1 _ 1 _ 77 _ 35 _ TNF Cluster 5 Cluster 6 TNF 1 _ 1 _ 77 _ 35 _ TA+TNF TA+TNF 1 _ 1 _ TNFAIP3 DGCR6 2 Supplementary Figure 1. -
Gene Ontology Functional Annotations and Pleiotropy
Network based analysis of genetic disease associations Sarah Gilman Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy under the Executive Committee of the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2013 Sarah Gilman All Rights Reserved ABSTRACT Network based analysis of genetic disease associations Sarah Gilman Despite extensive efforts and many promising early findings, genome-wide association studies have explained only a small fraction of the genetic factors contributing to common human diseases. There are many theories about where this “missing heritability” might lie, but increasingly the prevailing view is that common variants, the target of GWAS, are not solely responsible for susceptibility to common diseases and a substantial portion of human disease risk will be found among rare variants. Relatively new, such variants have not been subject to purifying selection, and therefore may be particularly pertinent for neuropsychiatric disorders and other diseases with greatly reduced fecundity. Recently, several researchers have made great progress towards uncovering the genetics behind autism and schizophrenia. By sequencing families, they have found hundreds of de novo variants occurring only in affected individuals, both large structural copy number variants and single nucleotide variants. Despite studying large cohorts there has been little recurrence among the genes implicated suggesting that many hundreds of genes may underlie these complex phenotypes. The question -
Comprehensive Comparison of Three Commercial Human Whole-Exome
Asan et al. Genome Biology 2011, 12:R95 http://genomebiology.com/2011/12/9/R95 RESEARCH Open Access Comprehensive comparison of three commercial human whole-exome capture platforms Asan2,3*†,YuXu1†, Hui Jiang1†, Chris Tyler-Smith4†, Yali Xue4, Tao Jiang1, Jiawei Wang1, Mingzhi Wu1, Xiao Liu1, Geng Tian1, Jun Wang1, Jian Wang1, Huangming Yang1* and Xiuqing Zhang1* Abstract Background: Exome sequencing, which allows the global analysis of protein coding sequences in the human genome, has become an effective and affordable approach to detecting causative genetic mutations in diseases. Currently, there are several commercial human exome capture platforms; however, the relative performances of these have not been characterized sufficiently to know which is best for a particular study. Results: We comprehensively compared three platforms: NimbleGen’s Sequence Capture Array and SeqCap EZ, and Agilent’s SureSelect. We assessed their performance in a variety of ways, including number of genes covered and capture efficacy. Differences that may impact on the choice of platform were that Agilent SureSelect covered approximately 1,100 more genes, while NimbleGen provided better flanking sequence capture. Although all three platforms achieved similar capture specificity of targeted regions, the NimbleGen platforms showed better uniformity of coverage and greater genotype sensitivity at 30- to 100-fold sequencing depth. All three platforms showed similar power in exome SNP calling, including medically relevant SNPs. Compared with genotyping and whole-genome sequencing data, the three platforms achieved a similar accuracy of genotype assignment and SNP detection. Importantly, all three platforms showed similar levels of reproducibility, GC bias and reference allele bias. Conclusions: We demonstrate key differences between the three platforms, particularly advantages of solutions over array capture and the importance of a large gene target set.