Differences Between Human and Chimpanzee Genomes and Their Implications in Gene Expression, Protein Functions and Biochemical Properties of the Two Species Maria V
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Nuclear and Mitochondrial Genome Defects in Autisms
UC Irvine UC Irvine Previously Published Works Title Nuclear and mitochondrial genome defects in autisms. Permalink https://escholarship.org/uc/item/8vq3278q Journal Annals of the New York Academy of Sciences, 1151(1) ISSN 0077-8923 Authors Smith, Moyra Spence, M Anne Flodman, Pamela Publication Date 2009 DOI 10.1111/j.1749-6632.2008.03571.x License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California THE YEAR IN HUMAN AND MEDICAL GENETICS 2009 Nuclear and Mitochondrial Genome Defects in Autisms Moyra Smith, M. Anne Spence, and Pamela Flodman Department of Pediatrics, University of California, Irvine, California In this review we will evaluate evidence that altered gene dosage and structure im- pacts neurodevelopment and neural connectivity through deleterious effects on synap- tic structure and function, and evidence that the latter are key contributors to the risk for autism. We will review information on alterations of structure of mitochondrial DNA and abnormal mitochondrial function in autism and indications that interactions of the nuclear and mitochondrial genomes may play a role in autism pathogenesis. In a final section we will present data derived using Affymetrixtm SNP 6.0 microar- ray analysis of DNA of a number of subjects and parents recruited to our autism spectrum disorders project. We include data on two sets of monozygotic twins. Col- lectively these data provide additional evidence of nuclear and mitochondrial genome imbalance in autism and evidence of specific candidate genes in autism. We present data on dosage changes in genes that map on the X chromosomes and the Y chro- mosome. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Molecular Evolutionary Routes That Lead to Innovations
International Journal of Evolutionary Biology Molecular Evolutionary Routes That Lead to Innovations Guest Editors: Frédéric Brunet, Hideki Innan, Ben-Yang Liao, and Wen Wang Molecular Evolutionary Routes That Lead to Innovations International Journal of Evolutionary Biology Molecular Evolutionary Routes That Lead to Innovations Guest Editors: Fred´ eric´ Brunet, Hideki Innan, Ben-YangLiao, and Wen Wang Copyright © 2012 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “International Journal of Evolutionary Biology.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Editorial Board Giacomo Bernardi, USA Kazuho Ikeo, Japan Jeffrey R. Powell, USA Terr y Burke, UK Yoh Iwasa, Japan Hudson Kern Reeve, USA Ignacio Doadrio, Spain Henrik J. Jensen, UK Y. Satta, Japan Simon Easteal, Australia Amitabh Joshi, India Koji Tamura, Japan Santiago F. Elena, Spain Hirohisa Kishino, Japan Yoshio Tateno, Japan Renato Fani, Italy A. Moya, Spain E. N. Trifonov, Israel Dmitry A. Filatov, UK G. Pesole, Italy Eske Willerslev, Denmark F. Gonzalez-Candelas,´ Spain I. Popescu, USA Shozo Yokoyama, Japan D. Graur, USA David Posada, Spain Contents Molecular Evolutionary Routes That Lead to Innovations,Fred´ eric´ Brunet, Hideki Innan, Ben-Yang Liao, and Wen Wang Volume 2012, Article ID 483176, 2 pages Purifying Selection Bias against Microsatellites in Gene -
Differential Gene Expression in Patients with Prostate Cancer and in Patients with Parkinson Disease: an Example of Inverse Comorbidity
Differential Gene Expression in Patients With Prostate Cancer and in Patients With Parkinson Disease: an Example of Inverse Comorbidity Pietro Pepe Ospedale Cannizzaro Simona Vetrano Ospedale Cannizzaro Rossella Cannarella University of Catania Aldo E Calogero University of Catania Giovanna Marchese University of Salerno Maria Ravo University of Salerno Filippo Fraggetta Ospedale Cannizzaro Ludovica Pepe Ospedale Cannizzaro Michele Pennisi Ospedale Cannizzaro Corrado Romano Oasi Maria SS Raffaele Ferri Oasi Maria SS Michele Salemi ( [email protected] ) Oasi Maria SS Research Article Keywords: Prostate cancer, Parkinson disease, Inverse comorbidity, NGS Posted Date: March 11th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-289371/v1 Page 1/11 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 2/11 Abstract Prostate cancer (PCa) is one of the leading causes of death in Western countries. Environmental and genetic factors play a pivotal role in PCa etiology. Timely identication of the genetic causes is useful for an early diagnosis. Parkinson’s disease (PD) is the most frequent neurodegenerative movement disorder; it is associated with the presence of Lewy bodies (LBs) and genetic factors are involved in its pathogenesis. Several studies have indicated that the expression of target genes in patients with PD is inversely related to cancer development; this phenomenon has been named “inverse comorbidity”. The present study was undertaken to evaluate whether a genetic dysregulation occurs in opposite directions in patients with PD or PCa. In the present study, next-generation sequencing (NGS) transcriptome analysis was used to assess whether a genetic dysregulation in opposite directions occurs in patients with PD or PCa. -
Placenta-Derived Exosomes Continuously Increase in Maternal
Sarker et al. Journal of Translational Medicine 2014, 12:204 http://www.translational-medicine.com/content/12/1/204 RESEARCH Open Access Placenta-derived exosomes continuously increase in maternal circulation over the first trimester of pregnancy Suchismita Sarker1, Katherin Scholz-Romero1, Alejandra Perez2, Sebastian E Illanes1,2,3, Murray D Mitchell1, Gregory E Rice1,2 and Carlos Salomon1,2* Abstract Background: Human placenta releases specific nanovesicles (i.e. exosomes) into the maternal circulation during pregnancy, however, the presence of placenta-derived exosomes in maternal blood during early pregnancy remains to be established. The aim of this study was to characterise gestational age related changes in the concentration of placenta-derived exosomes during the first trimester of pregnancy (i.e. from 6 to 12 weeks) in plasma from women with normal pregnancies. Methods: A time-series experimental design was used to establish pregnancy-associated changes in maternal plasma exosome concentrations during the first trimester. A series of plasma were collected from normal healthy women (10 patients) at 6, 7, 8, 9, 10, 11 and 12 weeks of gestation (n = 70). We measured the stability of these vesicles by quantifying and observing their protein and miRNA contents after the freeze/thawing processes. Exosomes were isolated by differential and buoyant density centrifugation using a sucrose continuous gradient and characterised by their size distribution and morphology using the nanoparticles tracking analysis (NTA; Nanosight™) and electron microscopy (EM), respectively. The total number of exosomes and placenta-derived exosomes were determined by quantifying the immunoreactive exosomal marker, CD63 and a placenta-specific marker (Placental Alkaline Phosphatase PLAP). -
Plasma Cells in Vitro Generation of Long-Lived Human
Downloaded from http://www.jimmunol.org/ by guest on September 24, 2021 is online at: average * The Journal of Immunology , 32 of which you can access for free at: 2012; 189:5773-5785; Prepublished online 16 from submission to initial decision 4 weeks from acceptance to publication November 2012; doi: 10.4049/jimmunol.1103720 http://www.jimmunol.org/content/189/12/5773 In Vitro Generation of Long-lived Human Plasma Cells Mario Cocco, Sophie Stephenson, Matthew A. Care, Darren Newton, Nicholas A. Barnes, Adam Davison, Andy Rawstron, David R. Westhead, Gina M. Doody and Reuben M. Tooze J Immunol cites 65 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription http://www.jimmunol.org/content/suppl/2012/11/16/jimmunol.110372 0.DC1 This article http://www.jimmunol.org/content/189/12/5773.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 © 2012 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 24, 2021. The Journal of Immunology In Vitro Generation of Long-lived Human Plasma Cells Mario Cocco,*,1 Sophie Stephenson,*,1 Matthew A. -
Arnau Soler2019.Pdf
This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (e.g. PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: This work is protected by copyright and other intellectual property rights, which are retained by the thesis author, unless otherwise stated. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the author. The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the author. When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given. Genetic responses to environmental stress underlying major depressive disorder Aleix Arnau Soler Doctor of Philosophy The University of Edinburgh 2019 Declaration I hereby declare that this thesis has been composed by myself and that the work presented within has not been submitted for any other degree or professional qualification. I confirm that the work submitted is my own, except where work which has formed part of jointly-authored publications has been included. My contribution and those of the other authors to this work are indicated below. I confirm that appropriate credit has been given within this thesis where reference has been made to the work of others. I composed this thesis under guidance of Dr. Pippa Thomson. Chapter 2 has been published in PLOS ONE and is attached in the Appendix A, chapter 4 and chapter 5 are published in Translational Psychiatry and are attached in the Appendix C and D, and I expect to submit chapter 6 as a manuscript for publication. -
Investigation of Adiposity Phenotypes in AA Associated with GALNT10 & Related Pathway Genes
Investigation of Adiposity Phenotypes in AA Associated With GALNT10 & Related Pathway Genes By Mary E. Stromberg A Dissertation Submitted to the Graduate Faculty of WAKE FOREST UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY In Molecular Genetics and Genomics December 2018 Winston-Salem, North Carolina Approved by: Donald W. Bowden, Ph.D., Advisor Maggie C.Y. Ng, Ph.D., Advisor Timothy D. Howard, Ph.D., Chair Swapan Das, Ph.D. John P. Parks, Ph.D. Acknowledgements I would first like to thank my mentors, Dr. Bowden and Dr. Ng, for guiding my learning and growth during my years at Wake Forest University School of Medicine. Thank you Dr. Ng for spending so much time ensuring that I learn every detail of every protocol, and supporting me through personal difficulties over the years. Thank you Dr. Bowden for your guidance in making me a better scientist and person. I would like to thank my committee for their patience and the countless meetings we have had in discussing this project. I would like to say thank you to the members of our lab as well as the Parks lab for their support and friendship as well as their contributions to my project. Special thanks to Dean Godwin for his support and understanding. The umbrella program here at WFU has given me the chance to meet some of the best friends I could have wished for. I would like to also thank those who have taught me along the way and helped me to get to this point of my life, with special thanks to the late Dr. -
"The Genecards Suite: from Gene Data Mining to Disease Genome Sequence Analyses". In: Current Protocols in Bioinformat
The GeneCards Suite: From Gene Data UNIT 1.30 Mining to Disease Genome Sequence Analyses Gil Stelzer,1,5 Naomi Rosen,1,5 Inbar Plaschkes,1,2 Shahar Zimmerman,1 Michal Twik,1 Simon Fishilevich,1 Tsippi Iny Stein,1 Ron Nudel,1 Iris Lieder,2 Yaron Mazor,2 Sergey Kaplan,2 Dvir Dahary,2,4 David Warshawsky,3 Yaron Guan-Golan,3 Asher Kohn,3 Noa Rappaport,1 Marilyn Safran,1 and Doron Lancet1,6 1Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel 2LifeMap Sciences Ltd., Tel Aviv, Israel 3LifeMap Sciences Inc., Marshfield, Massachusetts 4Toldot Genetics Ltd., Hod Hasharon, Israel 5These authors contributed equally to the paper 6Corresponding author GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Version 4 has a revamped infrastructure facilitating faster data updates, better-targeted data queries, and friendlier user experience. It also provides a stronger foundation for the GeneCards suite of companion databases and analysis tools. Improved data unification includes gene-disease links via MalaCards and merged biological pathways via PathCards, as well as drug information and proteome expression. VarElect, another suite member, is a phenotype prioritizer for next-generation sequencing, leveraging the GeneCards and MalaCards knowledgebase. It au- tomatically infers direct and indirect scored associations between hundreds or even thousands of variant-containing genes and disease phenotype terms. Var- Elect’s capabilities, either independently or within TGex, our comprehensive variant analysis pipeline, help prepare for the challenge of clinical projects that involve thousands of exome/genome NGS analyses. -
Shear Stress Modulates Gene Expression in Normal Human Dermal Fibroblasts
University of Calgary PRISM: University of Calgary's Digital Repository Graduate Studies The Vault: Electronic Theses and Dissertations 2017 Shear Stress Modulates Gene Expression in Normal Human Dermal Fibroblasts Zabinyakov, Nikita Zabinyakov, N. (2017). Shear Stress Modulates Gene Expression in Normal Human Dermal Fibroblasts (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/27775 http://hdl.handle.net/11023/3639 master thesis University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. Downloaded from PRISM: https://prism.ucalgary.ca UNIVERSITY OF CALGARY Shear Stress Modulates Gene Expression in Normal Human Dermal Fibroblasts by Nikita Zabinyakov A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE GRADUATE PROGRAM IN BIOMEDICAL ENGINEERING CALGARY, ALBERTA JANUARY 2017 © Nikita Zabinyakov 2017 Abstract Applied mechanical forces, such as those resulting from fluid flow, trigger cells to change their functional behavior or phenotype. However, there is little known about how fluid flow affects fibroblasts. The hypothesis of this thesis is that dermal fibroblasts undergo significant changes of expression of differentiation genes after exposure to fluid flow (or shear stress). To test the hypothesis, human dermal fibroblasts were exposed to laminar steady fluid flow for 20 and 40 hours and RNA was collected for microarray analysis. -
Chip-Seq of Transcription Factors Predicts Absolute and Differential Gene Expression in Embryonic Stem Cells
ChIP-Seq of transcription factors predicts absolute and differential gene expression in embryonic stem cells Zhengqing Ouyanga, Qing Zhoub, and Wing Hung Wongc,1 aDepartment of Biology and cDepartments of Statistics, Health Research and Policy, and Biology, Stanford University, Stanford, CA 94305; and bDepartment of Statistics, University of California, Los Angeles, CA 90095 Edited by Terry Speed, University of California, Berkeley, CA, and accepted by the Editorial Board September 25, 2009 (received for review May 5, 2009) Next-generation sequencing has greatly increased the scope and moderate, varying between 9.6% and 36.9% on various datasets the resolution of transcriptional regulation study. RNA sequencing from yeast to human (5, 7, 10, 11), even after considering TF–TF (RNA-Seq) and ChIP-Seq experiments are now generating compre- interaction. The low R2 reported in these studies may be due to hensive data on transcript abundance and on regulator–DNA insufficient data or suboptimal models or both. In any case, interactions. We propose an approach for an integrated analysis of accurate quantitative modeling of expression from binding lo- these data based on feature extraction of ChIP-Seq signals, prin- cation data has not been demonstrated. cipal component analysis, and regression-based component selec- In this paper, we show that accurate quantitative modeling of tion. Compared with traditional methods, our approach not only gene expression data in a mouse cell type is possible provided offers higher power in predicting gene expression from ChIP-Seq that TF-DNA binding locations have been measured by ChIP- data but also provides a way to capture cooperation among Seq experiments for multiple transcriptional regulators. -
Conserved Exchange of Paralog Proteins During Neuronal
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.22.453347; this version posted July 23, 2021. 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. 1 Conserved exchange of paralog proteins during neuronal 2 differentiation 3 4 Domenico Di Fraia1, Mihaela Anitei1, Marie-Therese Mackmull*2, Luca Parca*3, Laura 5 Behrendt1, Amparo Andres-Pons4, Darren Gilmour5, Manuela Helmer Citterich3, Christoph 6 Kaether1, Martin Beck6 and Alessandro Ori1# 7 8 Affiliations 9 1 - Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) Beutenbergstraße 1107745 Jena, Germany 10 2 - ETH Zurich Institute of Molecular Systems Biology Otto-Stern-Weg 3, 8093 Zürich, Switzerland 11 3 - Department of Biology, University of Tor Vergata, Rome, Italy 12 4 - European Molecular Biology Laboratory - EMBL, Meyerhofstraße 1, 69117, Heidelberg, Germany 13 5 - University of Zurich, Department of Molecular Life Sciences, Rämistrasse 71 CH-8006 Zürich, Switzerland 14 6 - Max Planck Institute of Biophysics, department of Molecular Sociology, Max-von-Laue-Straße 3, 60438 Frankfurt am Main 15 16 * contributed equally # 17 correspondence to [email protected] 18 19 20 21 22 Abstract 23 Gene duplication enables the emergence of new functions by lowering the general 24 evolutionary pressure. Previous studies have highlighted the role of specific paralog genes 25 during cell differentiation, e.g., in chromatin remodeling complexes. It remains unexplored 26 whether similar mechanisms extend to other biological functions and whether the regulation 27 of paralog genes is conserved across species.