Transcriptional Signature of Accessory Cells in the Lateral Line, Using the Tnk1bp1:EGFP Transgenic Zebrafish Line Behra Et Al
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Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer 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 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T (51) International Patent Classification: David [US/US]; 13539 N . 95th Way, Scottsdale, AZ C12Q 1/68 (2006.01) 85260 (US). (21) International Application Number: (74) Agent: AKHAVAN, Ramin; Caris Science, Inc., 6655 N . PCT/US20 12/0425 19 Macarthur Blvd., Irving, TX 75039 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 14 June 2012 (14.06.2012) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, English (25) Filing Language: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 61/497,895 16 June 201 1 (16.06.201 1) US MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 61/499,138 20 June 201 1 (20.06.201 1) US OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, 61/501,680 27 June 201 1 (27.06.201 1) u s SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, 61/506,019 8 July 201 1(08.07.201 1) u s TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Structural Basis and Sequence Rules for Substrate Recognition by Tankyrase Explain the Basis for Cherubism Disease
Structural Basis and Sequence Rules for Substrate Recognition by Tankyrase Explain the Basis for Cherubism Disease Sebastian Guettler,1,2 Jose LaRose,3 Evangelia Petsalaki,1,2 Gerald Gish,1 Andy Scotter,3 Tony Pawson,1,2,* Robert Rottapel,3,4,* and Frank Sicheri1,2,* 1Centre for Systems Biology, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, Ontario M5G 1X5, Canada 2Department of Molecular Genetics, University of Toronto, 1 Kings College Circle, Toronto, Ontario M5S 1A8, Canada 3Ontario Cancer Institute and the Campbell Family Cancer Research Institute, 101 College Street, Room 8-703, Toronto Medical Discovery Tower, University of Toronto, Toronto, Ontario M5G 1L7, Canada 4Division of Rheumatology, Department of Medicine, Saint Michael’s Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada *Correspondence: [email protected] (T.P.), [email protected] (R.R.), [email protected] (F.S.) DOI 10.1016/j.cell.2011.10.046 SUMMARY asparagine, arginine, lysine, cysteine, phosphoserine, and diph- thamide residues (reviewed in Hottiger et al., 2010). As a large The poly(ADP-ribose)polymerases Tankyrase 1/2 posttranslational modification of substantial negative charge, (TNKS/TNKS2) catalyze the covalent linkage of protein poly(ADP-ribosyl)ation (PARsylation) can influence pro- ADP-ribose polymer chains onto target proteins, tein fate through several mechanisms, including a direct effect regulating their ubiquitylation, stability, and function. on protein activity, recruitment of binding partners -
Genome-Wide Screening Identifies Genes and Biological Processes
Louisiana State University LSU Digital Commons LSU Doctoral Dissertations Graduate School 10-12-2018 Genome-Wide Screening Identifies Genes and Biological Processes Implicated in Chemoresistance and Oncogene-Induced Apoptosis Tengyu Ko Louisiana State University and Agricultural and Mechanical College, [email protected] Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_dissertations Part of the Cancer Biology Commons, Cell Biology Commons, and the Genomics Commons Recommended Citation Ko, Tengyu, "Genome-Wide Screening Identifies Genes and Biological Processes Implicated in Chemoresistance and Oncogene- Induced Apoptosis" (2018). LSU Doctoral Dissertations. 4715. https://digitalcommons.lsu.edu/gradschool_dissertations/4715 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Doctoral Dissertations by an authorized graduate school editor of LSU Digital Commons. For more information, please [email protected]. GENOME-WIDE SCREENING IDENTIFIES GENES AND BIOLOGICAL PROCESSES IMPLICATED IN CHEMORESISTANCE AND ONCOGENE- INDUCED APOPTOSIS A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical and Veterinary Medical Sciences through the Department of Comparative Biomedical Sciences by Tengyu Ko B.S., University of California, Santa Barbara 2010 December 2018 ACKNOWLEDGEMENTS I would like to express my sincerest gratitude to my major supervisor Dr. Shisheng Li for giving me the opportunity to join his team and the freedom to pursue projects. I appreciate all of his thoughts and efforts. Truly, none of these findings would be possible without his supervisions, supports, insightful discussions, and patience. -
Using Network Inference to Discover Molecular Pathways Underlying Cytokine Synergism and Age-Related Neurodegeneration by Bryce Hwang S.B., M.I.T
Using network inference to discover molecular pathways underlying cytokine synergism and age-related neurodegeneration by Bryce Hwang S.B., M.I.T. (2018) Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science and Molecular Biology at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY June 2018 ○c Bryce Hwang. All rights reserved. The author hereby grants to M.I.T. permission to reproduce and to distribute publicly paper and electronic copies of this thesis document in whole or in part in any medium now known or hereafter created. Author.............................................................. Department of Electrical Engineering and Computer Science May 25, 2018 Certified by. Ernest Fraenkel Professor Thesis Supervisor Accepted by . Katrina LaCurts Chair, Master of Engineering Thesis Committee Using network inference to discover molecular pathways underlying cytokine synergism and age-related neurodegeneration by Bryce Hwang Submitted to the Department of Electrical Engineering and Computer Science on May 25, 2018, in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science and Molecular Biology Abstract New high-throughput “omic” methods can help shed light on molecular pathways underpinning diseases ranging from cancers to neurodegenerative disorders. However, effectively integrating information across these diverse data types is challenging. Network modeling approaches can help bridge this gap. In particular, the Prize- Collecting Steiner Forest approach (PCSF) is a network modeling method that provides high-confidence subnetworks of physically interacting molecules by integrating diverse “omics” data with prior knowledge from protein-protein interaction networks (PPIs). However, PCSF is sensitive to initial parameterization and generating biological hypotheses from the resulting subnetworks can often be difficult. -
Spatial Maps of Prostate Cancer Transcriptomes Reveal an Unexplored Landscape of Heterogeneity
ARTICLE DOI: 10.1038/s41467-018-04724-5 OPEN Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity Emelie Berglund1, Jonas Maaskola1, Niklas Schultz2, Stefanie Friedrich3, Maja Marklund1, Joseph Bergenstråhle1, Firas Tarish2, Anna Tanoglidi4, Sanja Vickovic 1, Ludvig Larsson1, Fredrik Salmeń1, Christoph Ogris3, Karolina Wallenborg2, Jens Lagergren5, Patrik Ståhl1, Erik Sonnhammer3, Thomas Helleday2 & Joakim Lundeberg 1 1234567890():,; Intra-tumor heterogeneity is one of the biggest challenges in cancer treatment today. Here we investigate tissue-wide gene expression heterogeneity throughout a multifocal prostate cancer using the spatial transcriptomics (ST) technology. Utilizing a novel approach for deconvolution, we analyze the transcriptomes of nearly 6750 tissue regions and extract distinct expression profiles for the different tissue components, such as stroma, normal and PIN glands, immune cells and cancer. We distinguish healthy and diseased areas and thereby provide insight into gene expression changes during the progression of prostate cancer. Compared to pathologist annotations, we delineate the extent of cancer foci more accurately, interestingly without link to histological changes. We identify gene expression gradients in stroma adjacent to tumor regions that allow for re-stratification of the tumor micro- environment. The establishment of these profiles is the first step towards an unbiased view of prostate cancer and can serve as a dictionary for future studies. 1 Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, Royal Institute of Technology (KTH), Science for Life Laboratory, Tomtebodavägen 23, Solna 17165, Sweden. 2 Department of Oncology-Pathology, Karolinska Institutet (KI), Science for Life Laboratory, Tomtebodavägen 23, Solna 17165, Sweden. 3 Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Tomtebodavägen 23, Solna 17165, Sweden. -
Autocrine IFN Signaling Inducing Profibrotic Fibroblast Responses By
Downloaded from http://www.jimmunol.org/ by guest on September 23, 2021 Inducing is online at: average * The Journal of Immunology , 11 of which you can access for free at: 2013; 191:2956-2966; Prepublished online 16 from submission to initial decision 4 weeks from acceptance to publication August 2013; doi: 10.4049/jimmunol.1300376 http://www.jimmunol.org/content/191/6/2956 A Synthetic TLR3 Ligand Mitigates Profibrotic Fibroblast Responses by Autocrine IFN Signaling Feng Fang, Kohtaro Ooka, Xiaoyong Sun, Ruchi Shah, Swati Bhattacharyya, Jun Wei and John Varga J Immunol cites 49 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2013/08/20/jimmunol.130037 6.DC1 This article http://www.jimmunol.org/content/191/6/2956.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2013 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 23, 2021. The Journal of Immunology A Synthetic TLR3 Ligand Mitigates Profibrotic Fibroblast Responses by Inducing Autocrine IFN Signaling Feng Fang,* Kohtaro Ooka,* Xiaoyong Sun,† Ruchi Shah,* Swati Bhattacharyya,* Jun Wei,* and John Varga* Activation of TLR3 by exogenous microbial ligands or endogenous injury-associated ligands leads to production of type I IFN. -
Document Title: the Determination of the Physical Characteristics of an Individual from Biological Stains Author: Jack Ballantyne, Ph.D
The author(s) shown below used Federal funds provided by the U.S. Department of Justice and prepared the following final report: Document Title: The Determination Of The Physical Characteristics Of An Individual From Biological Stains Author: Jack Ballantyne, Ph.D. Document No.: 223978 Date Received: September 2008 Award Number: 2005-MU-BX-K075 This report has not been published by the U.S. Department of Justice. To provide better customer service, NCJRS has made this Federally- funded grant final report available electronically in addition to traditional paper copies. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. THE DETERMINATION OF THE PHYSICAL CHARACTERISTICS OF AN INDIVIDUAL FROM BIOLOGICAL STAINS FINAL REPORT January 16 2007 Department of Justice, National Institute of Justcie Award Number: 2005-MU-BX-K075 (1 September 2005- 31 December 2007) Principal Investigator: Jack Ballantyne, Ph.D. Associate Professor Department of Chemistry Associate Director for Research National Center for Forensic Science 4000 Central Boulevard, Bldg#5 University of Central Florida Orlando, FL 32816-2366 Phone: (407) 823 4440 Fax: (407) 823 2252 e-mail: [email protected] This document is a research report submitted to the U.S. Department of Justice. This report has not been published by the Department. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. EXECUTIVE SUMMARY 1. It is now a matter of routine for the forensic scientist to obtain the genetic profile of an individual from DNA recovered from a biological stain deposited at a crime scene. -
Global Dna Methylation and Gene Expression Analysis in Pre-B Cell Acute Lymphoblastic Leukemia
GLOBAL DNA METHYLATION AND GENE EXPRESSION ANALYSIS IN PRE-B CELL ACUTE LYMPHOBLASTIC LEUKEMIA A Dissertation presented to the Faculty of the Graduate School at the University of Missouri-Columbia In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy by MD ALMAMUN Dr. Kristen H. Taylor, Dissertation Supervisor JULY 2015 © Copyright by Md Almamun 2015 All Rights Reserved The undersigned, appointed by the dean of the Graduate School, have examined the Dissertation entitled GLOBAL DNA METHYLATION AND GENE EXPRESSION ANALYSIS IN PRE-B CELL ACUTE LYMPHOBLASTIC LEUKEMIA Presented by Md Almamun A candidate for the degree of Doctor of Philosophy And hereby certify that, in their opinion, it is worthy of acceptance. Kristen H. Taylor James M. Amos-Landgraf Gerald L. Arthur Mark A. Daniels J. Wade Davis DEDICATION This work is dedicated to my parents, Abdul Aziz & Khosh Nahar Begum, my inspiration. ACKNOWLEDGMENTS I would first like to acknowledge my advisor, Dr. Kristen H. Taylor for her guidance and patience throughout this research project. I was able to gain knowledge, research passion and complete this project with her tremendous helps and encouragement. Thank you for being so positive and for everything you did for me. I would also like to thank my degree committee members, Dr. J. Wade Davis, Dr. Gerald L. Arthur, Dr. James M. Amos-Landgraf, and Dr. Mark A. Daniels for their advice and guidance in this endeavor. I would like to special thank Dr. J. Wade Davis, Benjamin T. Levinson, and Nathan T. Johnson for analyzing MIRA-seq and RNA-seq data, and Annette C. -
Gene Expression Profiling in Hepatocellular Carcinoma: Upregulation of Genes in Amplified Chromosome Regions
Modern Pathology (2008) 21, 505–516 & 2008 USCAP, Inc All rights reserved 0893-3952/08 $30.00 www.modernpathology.org Gene expression profiling in hepatocellular carcinoma: upregulation of genes in amplified chromosome regions Britta Skawran1, Doris Steinemann1, Anja Weigmann1, Peer Flemming2, Thomas Becker3, Jakobus Flik4, Hans Kreipe2, Brigitte Schlegelberger1 and Ludwig Wilkens1,2 1Institute of Cell and Molecular Pathology, Hannover Medical School, Hannover, Germany; 2Institute of Pathology, Hannover Medical School, Hannover, Germany; 3Department of Visceral and Transplantation Surgery, Hannover Medical School, Hannover, Germany and 4Institute of Virology, Hannover Medical School, Hannover, Germany Cytogenetics of hepatocellular carcinoma and adenoma have revealed gains of chromosome 1q as a significant differentiating factor. However, no studies are available comparing these amplification events with gene expression. Therefore, gene expression profiling was performed on tumours cytogenetically well characterized by array-based comparative genomic hybridisation. For this approach analysis was carried out on 24 hepatocellular carcinoma and 8 hepatocellular adenoma cytogenetically characterised by array-based comparative genomic hybridisation. Expression profiles of mRNA were determined using a genome-wide microarray containing 43 000 spots. Hierarchical clustering analysis branched all hepatocellular adenoma from hepatocellular carcinoma. Significance analysis of microarray demonstrated 722 dysregulated genes in hepatocellular carcinoma. Gene set enrichment analysis detected groups of upregulated genes located in chromosome bands 1q22–42 seen also as the most frequently gained regions by comparative genomic hybridisation. Comparison of significance analysis of microarray and gene set enrichment analysis narrowed down the number of dysregulated genes to 18, with 7 genes localised on 1q22 (SCAMP3, IQGAP3, PYGO2, GPATC4, ASH1L, APOA1BP, and CCT3). In hepatocellular adenoma 26 genes in bands 11p15, 11q12, and 12p13 were upregulated. -
Next-Generation Sequencing of Centenarians to Identify Genetic Variants
Next-generation sequencing of centenarians to identify genetic variants predisposing to human longevity Dissertation In fulfillment of the requirements for the degree “Dr. rer. nat.” of the Faculty of Mathematics and Natural Sciences at Christian-Albrechts-Universität zu Kiel Submitted by Nandini Badarinarayan Research Group for Healthy Ageing Institute of Clinical Molecular Biology Kiel, July 2014 First referee: Prof. Dr. Tal Dagan Second referee: Prof. Dr. Almut Nebel th Date of oral examination: 24 October 2014 Signed: Prof. Dr. Wolfgang Duschl (Dean) “Always keep your smile. That's how I explain my long life.”- Jeanne Calment (who had the longest confirmed human lifespan in history, living to the age of 122 years, 164 days) For my family Contents I Table of Contents List of figures ...................................................................................... IV List of tables ..........................................................................................V List of abbreviations ........................................................................... VII 1 Introduction ............................................................................... 1 1.1 Longevity phenotype............................................................................... 1 1.2 Genetic epidemiology of human longevity ............................................. 4 1.3 Genetic influences on longevity .............................................................. 6 1.3.1 Findings in model organisms .................................................................................... -
Rare Protein Coding Variants Implicate Genes Involved in Risk of Suicide Death
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.10.902304; this version posted January 11, 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. Rare protein coding variants implicate genes involved in risk of suicide death Running title: Rare variants associated with suicide death Authors Emily DiBlasi PhD,1₤ Andrey A. Shabalin PhD,1 Eric T. Monson, PhD/MD1, Brooks R. Keeshin MD,1,2 Amanda V. Bakian PhD1, Anne V. Kirby PhD3, Elliott Ferris MS,4 Danli Chen MS,1 Nancy William MS,1 Eoin Gaj BS,1 Michael Klein MS,5 Leslie Jerominski MS,1 W. Brandon Callor MS,6 Erik Christensen MD,6 Douglas Gray MD, Ken R. Smith PhD7, Alison Fraser MS,7 Zhe Yu MS,7 PsychChip Investigators of the Psychiatric Genomics Consortium, Nicola J. Camp PhD,8 Eli A. Stahl PhD,9,10 Qingqin S. Li PhD,11 Anna R. Docherty PhD,1,12 Hilary Coon PhD1 1 Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA 2) Department of Pediatrics, University of Utah, Salt Lake City, UT, USA 3) Department of Occupational & Recreational Therapies, University of Utah, Salt Lake City, UT, USA 4) Department of Neurobiology & Anatomy, University of Utah School of Medicine, Salt Lake City, UT, USA 5) Health Sciences Center Core Research Facility, University of Utah, Salt Lake City, UT, USA 6) Utah State Office of the Medical Examiner, Utah Department of Health, Salt Lake City, UT 7) Pedigree & Population Resource, Huntsman Cancer Institute, University