Comprehensive Structural Variation Genome Map of Individuals Carrying Complex Chromosomal Rearrangements
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights Into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle
animals Article Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle Masoumeh Naserkheil 1 , Abolfazl Bahrami 1 , Deukhwan Lee 2,* and Hossein Mehrban 3 1 Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj 77871-31587, Iran; [email protected] (M.N.); [email protected] (A.B.) 2 Department of Animal Life and Environment Sciences, Hankyong National University, Jungang-ro 327, Anseong-si, Gyeonggi-do 17579, Korea 3 Department of Animal Science, Shahrekord University, Shahrekord 88186-34141, Iran; [email protected] * Correspondence: [email protected]; Tel.: +82-31-670-5091 Received: 25 August 2020; Accepted: 6 October 2020; Published: 9 October 2020 Simple Summary: Hanwoo is an indigenous cattle breed in Korea and popular for meat production owing to its rapid growth and high-quality meat. Its yearling weight and carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score) are economically important for the selection of young and proven bulls. In recent decades, the advent of high throughput genotyping technologies has made it possible to perform genome-wide association studies (GWAS) for the detection of genomic regions associated with traits of economic interest in different species. In this study, we conducted a weighted single-step genome-wide association study which combines all genotypes, phenotypes and pedigree data in one step (ssGBLUP). It allows for the use of all SNPs simultaneously along with all phenotypes from genotyped and ungenotyped animals. Our results revealed 33 relevant genomic regions related to the traits of interest. -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr. -
Fine-Mapping of 150 Breast Cancer Risk Regions Identifies 178 High Confidence Target Genes
bioRxiv preprint doi: https://doi.org/10.1101/521054; this version posted January 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Fine-mapping of 150 breast cancer risk regions identifies 178 high confidence target genes Laura Fachal1, Hugues Aschard2-4,275, Jonathan Beesley5,275, Daniel R. Barnes6, Jamie Allen6, Siddhartha Kar1, Karen A. Pooley6, Joe Dennis6, Kyriaki Michailidou6, 7, Constance Turman4, Penny Soucy8, Audrey Lemaçon8, Michael Lush6, Jonathan P. Tyrer1, Maya Ghoussaini1, Mahdi Moradi Marjaneh5, Xia Jiang3, Simona Agata9, Kristiina Aittomäki10, M. Rosario Alonso11, Irene L. Andrulis12, 13, Hoda Anton-Culver14, Natalia N. Antonenkova15, Adalgeir Arason16, 17, Volker Arndt18, Kristan J. Aronson19, Banu K. Arun20, Bernd Auber21, Paul L. Auer22, 23, Jacopo Azzollini24, Judith Balmaña25, Rosa B. Barkardottir16, 17, Daniel Barrowdale6, Alicia Beeghly-Fadiel26, Javier Benitez27, 28, Marina Bermisheva29, Katarzyna Białkowska30, Amie M. Blanco31, Carl Blomqvist32, 33, William Blot26, 34, Natalia V. Bogdanova15, 35, 36, Stig E. Bojesen37- 39, Manjeet K. Bolla6, Bernardo Bonanni40, Ake Borg41, Kristin Bosse42, Hiltrud Brauch43-45, Hermann Brenner18, 45, 46, Ignacio Briceno47, 48, Ian W. Brock49, Angela Brooks-Wilson50, 51, Thomas Brüning52, Barbara Burwinkel53, 54, Saundra S. Buys55, Qiuyin Cai26, Trinidad Caldés56, Maria A. Caligo57, Nicola J. Camp58, Ian Campbell59, 60, Federico Canzian61, Jason S. Carroll62, Brian D. Carter63, Jose E. Castelao64, Jocelyne Chiquette65, Hans Christiansen35, Wendy K. Chung66, Kathleen B.M. Claes67, Christine L. Clarke68, GEMO Study Collaborators69-71, EMBRACE Collaborators6, J. -
Greg's Awesome Thesis
Analysis of alignment error and sitewise constraint in mammalian comparative genomics Gregory Jordan European Bioinformatics Institute University of Cambridge A dissertation submitted for the degree of Doctor of Philosophy November 30, 2011 To my parents, who kept us thinking and playing This dissertation is the result of my own work and includes nothing which is the out- come of work done in collaboration except where specifically indicated in the text and acknowledgements. This dissertation is not substantially the same as any I have submitted for a degree, diploma or other qualification at any other university, and no part has already been, or is currently being submitted for any degree, diploma or other qualification. This dissertation does not exceed the specified length limit of 60,000 words as defined by the Biology Degree Committee. November 30, 2011 Gregory Jordan ii Analysis of alignment error and sitewise constraint in mammalian comparative genomics Summary Gregory Jordan November 30, 2011 Darwin College Insight into the evolution of protein-coding genes can be gained from the use of phylogenetic codon models. Recently sequenced mammalian genomes and powerful analysis methods developed over the past decade provide the potential to globally measure the impact of natural selection on pro- tein sequences at a fine scale. The detection of positive selection in particular is of great interest, with relevance to the study of host-parasite conflicts, immune system evolution and adaptive dif- ferences between species. This thesis examines the performance of methods for detecting positive selection first with a series of simulation experiments, and then with two empirical studies in mammals and primates. -
TRANSCRIPTOME ANALYSIS in MAMMALIAN CELL CULTURE: APPLICATIONS in PROCESS DEVELOPMENT and CHARACTERIZATION Anne Kantardjieff We
TRANSCRIPTOME ANALYSIS IN MAMMALIAN CELL CULTURE: APPLICATIONS IN PROCESS DEVELOPMENT AND CHARACTERIZATION A DISSERTATION SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY Anne Kantardjieff IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Wei-Shou Hu August, 2009 © Anne Kantardjieff, August 2009 ACKNOWLEDGMENTS First and foremost, I would like to thank my advisor, Prof. Wei-Shou Hu. He is a consummate teacher, who always puts the best interests of his students first. I am eternally grateful for all the opportunities he has given me and all that I have learned from him. I can only hope to prove as inspriring to others as he has been to me. I would like to thank my thesis committee members, Prof. Kevin Dorfman, Prof. Scott Fahrenkrug, and Prof. Friedrich Srienc, for taking the time to serve on my committee. It goes without saying that what makes the Hu lab a wonderful place to work are the people. I consider myself lucky to have joined what could only be described as a family. Thank you to all the Hu group members, past and present: Jongchan Lee, Wei Lian, Mugdha Gadgil, Sarika Mehra, Marcela de Leon Gatti, Ziomara Gerdtzen, Patrick Hossler, Katie Wlaschin, Gargi Seth, Fernando Ulloa, Joon Chong Yee, C.M. Cameron, David Umulis, Karthik Jayapal, Salim Charaniya, Marlene Castro, Nitya Jacob, Bhanu Mulukutla, Siguang Sui, Kartik Subramanian, Cornelia Bengea, Huong Le, Anushree Chatterjee, Jason Owens, Shikha Sharma, Kathryn Johnson, Eyal Epstein, ze Germans, Kirsten Keefe, Kim Coffee, Katherine Mattews and Jessica Raines-Jones. -
Single Cell Derived Clonal Analysis of Human Glioblastoma Links
SUPPLEMENTARY INFORMATION: Single cell derived clonal analysis of human glioblastoma links functional and genomic heterogeneity ! Mona Meyer*, Jüri Reimand*, Xiaoyang Lan, Renee Head, Xueming Zhu, Michelle Kushida, Jane Bayani, Jessica C. Pressey, Anath Lionel, Ian D. Clarke, Michael Cusimano, Jeremy Squire, Stephen Scherer, Mark Bernstein, Melanie A. Woodin, Gary D. Bader**, and Peter B. Dirks**! ! * These authors contributed equally to this work.! ** Correspondence: [email protected] or [email protected]! ! Supplementary information - Meyer, Reimand et al. Supplementary methods" 4" Patient samples and fluorescence activated cell sorting (FACS)! 4! Differentiation! 4! Immunocytochemistry and EdU Imaging! 4! Proliferation! 5! Western blotting ! 5! Temozolomide treatment! 5! NCI drug library screen! 6! Orthotopic injections! 6! Immunohistochemistry on tumor sections! 6! Promoter methylation of MGMT! 6! Fluorescence in situ Hybridization (FISH)! 7! SNP6 microarray analysis and genome segmentation! 7! Calling copy number alterations! 8! Mapping altered genome segments to genes! 8! Recurrently altered genes with clonal variability! 9! Global analyses of copy number alterations! 9! Phylogenetic analysis of copy number alterations! 10! Microarray analysis! 10! Gene expression differences of TMZ resistant and sensitive clones of GBM-482! 10! Reverse transcription-PCR analyses! 11! Tumor subtype analysis of TMZ-sensitive and resistant clones! 11! Pathway analysis of gene expression in the TMZ-sensitive clone of GBM-482! 11! Supplementary figures and tables" 13" "2 Supplementary information - Meyer, Reimand et al. Table S1: Individual clones from all patient tumors are tumorigenic. ! 14! Fig. S1: clonal tumorigenicity.! 15! Fig. S2: clonal heterogeneity of EGFR and PTEN expression.! 20! Fig. S3: clonal heterogeneity of proliferation.! 21! Fig. -
Fine-Mapping of 150 Breast Cancer Risk Regions Identifies 191 Likely Target Genes
Europe PMC Funders Group Author Manuscript Nat Genet. Author manuscript; available in PMC 2020 July 07. Published in final edited form as: Nat Genet. 2020 January ; 52(1): 56–73. doi:10.1038/s41588-019-0537-1. Europe PMC Funders Author Manuscripts Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes A full list of authors and affiliations appears at the end of the article. # These authors contributed equally to this work. Abstract Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants (CCVs) in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium, and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms *Correspondence: [email protected] (PK), [email protected] (AMD). 280Senior author. Europe PMC Funders Author Manuscripts Data Availablity The credible set of causal variants (determined by either multinomial stepwise regression and PAINTOR) is provided in Supplementary Table S2C. -
Risk Factors and Epigenetic Markers of Left Ventricular Diastolic Dysfunction with Preserved Ejection Fraction in a Community-Based Elderly Chinese Population
Clinical Interventions in Aging Dovepress open access to scientific and medical research Open Access Full Text Article ORIGINAL RESEARCH Risk Factors And Epigenetic Markers Of Left Ventricular Diastolic Dysfunction With Preserved Ejection Fraction In A Community-Based Elderly Chinese Population This article was published in the following Dove Press journal: Clinical Interventions in Aging Wei Wang1,2 Purpose: Left ventricular diastolic dysfunction with preserved ejection fraction (LVDD-PEF) is Yi Zhang3 an early-stage manifestation but poorly understood in the process of heart failure. This study was Runzi Wang 1,2 designed to investigate risk factors and epigenetic markers for predicting LVDD-PEF. Yeshaswi Shrestha1,2 Patients and methods: A community-based study in 1568 residents over 65 years was ’ Yawei Xu 3 conducted in Shanghai, People s Republic of China, from June 2014 to August 2015. Echocardiography was performed to diagnose LVDD-PEF. DNA methylation by whole- Luying Peng1,4,5 genome bisulfite sequencing was used to determine those potential epigenetic markers Jie Zhang1,2 1,2 contributing to LVDD-PEF. Jue Li Results: A total of 177 participants (11.3%) were diagnosed with LVDD-PEF, and higher 1,2 Lijuan Zhang prevalence in females than in males (15.0% vs 6.5%, P<0.001). Multivariate logistic regres- 1Key Laboratory of Arrhythmias of the sion analysis indicated that female sex (OR 2.46, 95% CI 1.47–4.13), body mass index Ministry of Education, Tongji University (BMI) (OR 1.09, 95% CI 1.04–1.14), pulse pressure (PP) (OR 1.03, 95% CI 1.01–1.05) and School of Medicine, Shanghai 200092, – fi People’s Republic of China; 2Institute of carotid intima-media thickness (CIMT) (OR 4.20, 95% CI 1.40 12.55) showed a signi cant Clinical Epidemiology and Evidence-Based association with LVDD-PEF. -
Download Slides
Lisp & Cancer Ola Bini computational metalinguist [email protected] http://olabini.com/blog 698E 2885 C1DE 74E3 2CD5 03AD 295C 7469 84AF 7F0C onsdag 24 april 13 The problem onsdag 24 april 13 Genomics in one slide The human genome: nuclear DNA and mitochondrial DNA Nuclear DNA: 22 chromosomes * 2 + (XX || XY) DNA is a helix spiral, each side is complementary to the other side. (ACGT, A complements T, C complements G) DNA gets transcribed into mRNA Actually, it transcribes into precursor RNA, then splicing happens mRNA gets translated into proteins (polypeptides) Proteins do stuff (including transcription and translation) 1 codon = 1 amino acid 1 codon = 3 bases of DNA, which means a 6bit byte code machine onsdag 24 april 13 Nucleus Mitochondria onsdag 24 april 13 onsdag 24 april 13 onsdag 24 april 13 G A C C T A G A T G onsdag 24 april 13 G A C C T A G A T G onsdag 24 april 13 G A C C T A G A T G onsdag 24 april 13 G A C C T A G A T G onsdag 24 april 13 onsdag 24 april 13 onsdag 24 april 13 Sequencing Taking DNA and turning it into bits Steps Prepare the analyte Shred the DNA into 200bp long segments (called reads) Sequence all the reads separately Find overlapping reads (assembly) Find where the reads belong by comparing to a reference (alignment) Optional: compare against another genome and output the results (variant calling) The $1000 genome onsdag 24 april 13 Cancer Not one disease - at least 10 000 diseases Organ of origin less interesting than molecular make up Cancer is modifications of DNA in various ways Stops apoptosis Enhances -
Different Gene Response to Mechanical Loading During Early and Late Phases of Rat Achilles Tendon Healing Malin Hammerman, Parmis Blomgran, Arie Dansac, Pernilla T
Different gene response to mechanical loading during early and late phases of rat Achilles tendon healing Malin Hammerman, Parmis Blomgran, Arie Dansac, Pernilla T. Eliasson and Per Aspenberg The self-archived postprint version of this journal article is available at Linköping University Institutional Repository (DiVA): http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143094 N.B.: When citing this work, cite the original publication. Hammerman, M., Blomgran, P., Dansac, A., Eliasson, P. T., Aspenberg, P., (2017), Different gene response to mechanical loading during early and late phases of rat Achilles tendon healing, Journal of applied physiology, 123(4), 800-815. https://doi.org/10.1152/japplphysiol.00323.2017 Original publication available at: https://doi.org/10.1152/japplphysiol.00323.2017 Copyright: American Physiological Society http://www.the-aps.org/ Title: Different gene response to mechanical loading during early and late phases of rat Achilles tendon healing Running head: Gene response after loading in healing tendons Authors: M. Hammerman, P. Blomgran, A. Dansac, P. Eliasson, and P. Aspenberg Affiliation: Orthopedics, Department of Clinical and Experimental Medicine, Faculty of Health Science, Linkoping University, Sweden Corresponding author: Malin Hammerman [email protected] Phone: +46 10 10 34 116 Address: Linköpings universitet Ortopedi, IKE, KEF, plan 9, US 581 85 Linköping Author contributions: Conceived and designed the experiments: M.H., P.E. and P.A. Performed the experiments: M.H., P.B., and A.R. Analyzed the data: M.H. and A.R. Drafted the manuscript: M.H. Edited and revised the manuscript: M.H., P.B., P.E., A.R., and P.A. -
Identification of Genomic Alterations in Castration Resistant Prostate Cancer Using Next Generation Sequencing
Identification of Genomic Alterations in Castration Resistant Prostate Cancer using Next Generation Sequencing Thesis Submitted for a Doctoral Degree in Natural Sciences (Dr. rer. nat) Faculty of Mathematics and Natural Sciences Rheinische Friedrich-Wilhelms- Submitted by Roopika Menon from Chandigarh, India Bonn 2013 Prepared with the consent of the Faculty of Mathematics and Natural Sciences at the Rheinische Friedrich-Wilhelms- 1. Reviewer: Prof. Dr. Sven Perner 2. Reviewer: Prof. Dr. Hubert Schorle Date of examination: 19 November 2013 Year of Publication: 2014 Declaration I solemnly declare that the work submitted here is the result of my own investigation, except where otherwise stated. This work has not been submitted to any other University or Institute towards the partial fulfillment of any degree. ____________________________________________________________________ Roopika Menon; Author Acknowledgements This thesis would not have been possible without the help and support of many people. I would like to dedicate this thesis to all the people who have helped make this dream a reality. This thesis would have not been possible without the patience, support and guidance of my supervisor, Prof. Dr. Sven Perner. It has truly been an honor to be his first PhD student. He has both consciously and unconsciously made me into the researcher that I am today. My PhD experience has truly been the ‘best’ because of his time, ideas, funding and most importantly his incredible sense of humor. He encouraged and gave me the opportunity to travel around the world to develop as a scientist. I cannot thank him enough for this immense opportunity, which stands as a stepping-stone to my career in science.