Human-Specific Genes, Cortical Progenitor Cells, and Microcephaly
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Universidade Estadual De Campinas Instituto De Biologia
UNIVERSIDADE ESTADUAL DE CAMPINAS INSTITUTO DE BIOLOGIA VERÔNICA APARECIDA MONTEIRO SAIA CEREDA O PROTEOMA DO CORPO CALOSO DA ESQUIZOFRENIA THE PROTEOME OF THE CORPUS CALLOSUM IN SCHIZOPHRENIA CAMPINAS 2016 1 VERÔNICA APARECIDA MONTEIRO SAIA CEREDA O PROTEOMA DO CORPO CALOSO DA ESQUIZOFRENIA THE PROTEOME OF THE CORPUS CALLOSUM IN SCHIZOPHRENIA Dissertação apresentada ao Instituto de Biologia da Universidade Estadual de Campinas como parte dos requisitos exigidos para a obtenção do Título de Mestra em Biologia Funcional e Molecular na área de concentração de Bioquímica. Dissertation presented to the Institute of Biology of the University of Campinas in partial fulfillment of the requirements for the degree of Master in Functional and Molecular Biology, in the area of Biochemistry. ESTE ARQUIVO DIGITAL CORRESPONDE À VERSÃO FINAL DA DISSERTAÇÃO DEFENDIDA PELA ALUNA VERÔNICA APARECIDA MONTEIRO SAIA CEREDA E ORIENTADA PELO DANIEL MARTINS-DE-SOUZA. Orientador: Daniel Martins-de-Souza CAMPINAS 2016 2 Agência(s) de fomento e nº(s) de processo(s): CNPq, 151787/2F2014-0 Ficha catalográfica Universidade Estadual de Campinas Biblioteca do Instituto de Biologia Mara Janaina de Oliveira - CRB 8/6972 Saia-Cereda, Verônica Aparecida Monteiro, 1988- Sa21p O proteoma do corpo caloso da esquizofrenia / Verônica Aparecida Monteiro Saia Cereda. – Campinas, SP : [s.n.], 2016. Orientador: Daniel Martins de Souza. Dissertação (mestrado) – Universidade Estadual de Campinas, Instituto de Biologia. 1. Esquizofrenia. 2. Espectrometria de massas. 3. Corpo caloso. -
Analysis of Mutational Landscape of Patients with Chronic Lymphocytic Leukemia
Analysis of mutational landscape of patients with chronic lymphocytic leukemia A.V. Terskikh1, A.A. Samsonova2, A.A. Kanapin2 1-Peter the Great St.Petersburg Polytechnic University, St. Petersburg, Russia, anastasiya- [email protected]; 2-Department of Oncology, University of Oxford, Oxford, UK, [email protected], [email protected] A precise understanding of the genomic features of chronic lymphocytic leukemia (CLL) may benefit the study of the disease’s staging and treatment. Genomic landscape of CLL probably reflects either an unknown underlying biochemical mechanism playing a key role in CLL or multiple biochemical pathways independently driving the development of this tumor. The elucidation of either scenario may have important consequences on the clinical management of CLL. Our aim is to analyze mutational landscape of the disease to identify potential pathways driving the pathology. Chronic lymphocytic leukemia is a clonal neoplasia of B-lymphocytes which accumulate mainly in the blood, bone marrow, lymph nodes and spleen [1]. Notably, these B- lymphocytes are differentiated, and can remain in an arrested state for several years after diagnosis. Two major molecular subtypes can be distinguished, characterized respectively by a high or low number of somatic hypermutations in the variable region of immunoglobulin genes [2]. This classification system was improved with the characterization of additional genomic and transcriptomic factors [3]. However, the genomic events that dictate the initiation and heterogeneous evolution of CLL remained partially unknown. Next-Generation Sequencing (NGS) allows the comparison of the genome of tumor cells with the constitutive genome in normal tissues of the same patients. The variants present in the tumor genome and absent from the germinal genome are called somatic mutations, and constitute a requisite of cancer development. -
Novel Genetic Features of Human and Mouse Purkinje Cell Differentiation Defined by Comparative Transcriptomics
Novel genetic features of human and mouse Purkinje cell differentiation defined by comparative transcriptomics David E. Buchholza, Thomas S. Carrollb, Arif Kocabasa, Xiaodong Zhua, Hourinaz Behestia, Phyllis L. Faustc, Lauren Stalbowa, Yin Fanga, and Mary E. Hattena,1 aLaboratory of Developmental Neurobiology, The Rockefeller University, New York, NY 10065; bBioinformatics Resource Center, The Rockefeller University, New York, NY 10065; and cDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center and the New York Presbyterian Hospital, New York, NY 10032 Contributed by Mary E. Hatten, April 22, 2020 (sent for review January 3, 2020; reviewed by Lorenz Studer and Hynek Wichterle) Comparative transcriptomics between differentiating human plu- is ataxia-telangiectasia, which shows massive loss of PCs in hu- ripotent stem cells (hPSCs) and developing mouse neurons offers a mans but not in the mouse (11). Human pluripotent stem cells powerful approach to compare genetic and epigenetic pathways (hPSCs) provide a complementary approach to studying human in human and mouse neurons. To analyze human Purkinje cell disease in the mouse (12–14). Validated methods to derive (PC) differentiation, we optimized a protocol to generate human specific neural subtypes from hPSCs are necessary prerequisites pluripotent stem cell-derived Purkinje cells (hPSC-PCs) that formed to disease modeling. We and others have recently developed synapses when cultured with mouse cerebellar glia and granule protocols to derive PCs from hPSCs (15–18). cells and fired large calcium currents, measured with the geneti- One limitation of most hPSC-derived central nervous system cally encoded calcium indicator jRGECO1a. To directly compare (CNS) neurons is the lack of genetic information, especially of global gene expression of hPSC-PCs with developing mouse PCs, transcriptomic signatures, to rigorously identify specific types of we used translating ribosomal affinity purification (TRAP). -
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. -
BIOTECHNO 2020 Proceedings
BIOTECHNO 2020 The Twelfth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies ISBN: 978-1-61208-792-4 September 27th – October 1st, 2020 BIOTECHNO 2020 Editors Birgit Gersbeck-Schierholz, Leibniz Universität Hannover, Germany 1 / 34 BIOTECHNO 2020 Forward The Twelfth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies (BIOTECHNO 2020) continued a series of events covering these three main areas: bioinformatics, biomedical technologies, and biocomputing. Bioinformatics deals with the system-level study of complex interactions in biosystems providing a quantitative systemic approach to understand them and appropriate tool support and concepts to model them. Understanding and modeling biosystems requires simulation of biological behaviors and functions. Bioinformatics itself constitutes a vast area of research and specialization, as many classical domains such as databases, modeling, and regular expressions are used to represent, store, retrieve and process a huge volume of knowledge. Biotechnology is defined as the industrial use of living organisms or biological techniques developed through basic research. Bio-oriented technologies became very popular in various research topics and industrial market segments. Current human mechanisms seem to offer significant ways for improving theories, algorithms, technologies, products and systems. The focus is driven by fundamentals in approaching and applying biotechnologies in terms of engineering methods, special electronics, and special materials and systems. Borrowing simplicity and performance from the real life, biodevices cover a large spectrum of areas, from sensors, chips, and biometry to computing. One of the chief domains is represented by the biomedical biotechnologies, from instrumentation to monitoring, from simple sensors to integrated systems, including image processing and visualization systems. As the state-of-the- art evolves at fast speed, new biotechnologies and biosystems become available. -
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, -
Targeted Exome Sequencing Provided Comprehensive Genetic Diagnosis of Congenital Anomalies of the Kidney and Urinary Tract
Journal of Clinical Medicine Article Targeted Exome Sequencing Provided Comprehensive Genetic Diagnosis of Congenital Anomalies of the Kidney and Urinary Tract 1,2, 3,4, 3 1,5 Yo Han Ahn y, Chung Lee y, Nayoung K. D. Kim , Eujin Park , Hee Gyung Kang 1,2,6,* , Il-Soo Ha 1,2,6, Woong-Yang Park 3,4,7 and Hae Il Cheong 1,2,6 1 Department of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Korea; [email protected] (Y.H.A.); [email protected] (E.P.); [email protected] (I.-S.H.); [email protected] (H.I.C.) 2 Department of Pediatrics, Seoul National University Children’s Hospital, Seoul 03080, Korea 3 Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea; [email protected] (C.L.); [email protected] (N.K.D.K.); [email protected] (W.-Y.P.) 4 Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul 06351, Korea 5 Department of Pediatrics, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07441, Korea 6 Kidney Research Institute, Medical Research Center, Seoul National University College of Medicine, Seoul 03080, Korea 7 Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon 16419, Korea * Correspondence: [email protected] These authors equally contributed to this article. y Received: 31 January 2020; Accepted: 8 March 2020; Published: 10 March 2020 Abstract: Congenital anomalies of the kidney and urinary tract (CAKUT) are the most common cause of chronic kidney disease in children. -
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. -
Changing the Name of the NBPF/DUF1220 Domain to the Olduvai Domain [Version 2; Peer Review: 3 Approved]
F1000Research 2018, 6:2185 Last updated: 31 AUG 2021 OPINION ARTICLE Changing the name of the NBPF/DUF1220 domain to the Olduvai domain [version 2; peer review: 3 approved] Previously titled: A proposal to change the name of the NBPF/DUF1220 domain to the Olduvai domain James M. Sikela 1, Frans van Roy2,3 1Department of Biochemistry and Molecular Genetics, Human Medical Genetics and Neuroscience Programs, University of Colorado School of Medicine, Aurora, CO, 80045, USA 2Department of Biomedical Molecular Biology, Ghent University, Ghent, 9052, Belgium 3VIB-UGent Center for Inflammation Research, Ghent, 9052, Belgium v2 First published: 28 Dec 2017, 6:2185 Open Peer Review https://doi.org/10.12688/f1000research.13586.1 Latest published: 17 Jul 2018, 6:2185 https://doi.org/10.12688/f1000research.13586.2 Reviewer Status Invited Reviewers Abstract We are jointly proposing a new name for a protein domain of 1 2 3 approximately 65 amino acids that has been previously termed NBPF or DUF1220. Our two labs independently reported the initial studies of version 2 this domain, which is encoded almost entirely within a single gene (revision) report report family. The name Neuroblastoma Breakpoint Family (NBPF) was 17 Jul 2018 applied to this gene family when the first identified member of the family was found to be interrupted in an individual with version 1 neuroblastoma. 28 Dec 2017 report report report Prior to this discovery, the Pfam database had termed the domain DUF1220, denoting it as one of many protein domains of unknown f unction. It has been Pfam’s intention to use “DUF” nomenclature to 1. -
Analysis of the Indacaterol-Regulated Transcriptome in Human Airway
Supplemental material to this article can be found at: http://jpet.aspetjournals.org/content/suppl/2018/04/13/jpet.118.249292.DC1 1521-0103/366/1/220–236$35.00 https://doi.org/10.1124/jpet.118.249292 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS J Pharmacol Exp Ther 366:220–236, July 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Analysis of the Indacaterol-Regulated Transcriptome in Human Airway Epithelial Cells Implicates Gene Expression Changes in the s Adverse and Therapeutic Effects of b2-Adrenoceptor Agonists Dong Yan, Omar Hamed, Taruna Joshi,1 Mahmoud M. Mostafa, Kyla C. Jamieson, Radhika Joshi, Robert Newton, and Mark A. Giembycz Departments of Physiology and Pharmacology (D.Y., O.H., T.J., K.C.J., R.J., M.A.G.) and Cell Biology and Anatomy (M.M.M., R.N.), Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Received March 22, 2018; accepted April 11, 2018 Downloaded from ABSTRACT The contribution of gene expression changes to the adverse and activity, and positive regulation of neutrophil chemotaxis. The therapeutic effects of b2-adrenoceptor agonists in asthma was general enriched GO term extracellular space was also associ- investigated using human airway epithelial cells as a therapeu- ated with indacaterol-induced genes, and many of those, in- tically relevant target. Operational model-fitting established that cluding CRISPLD2, DMBT1, GAS1, and SOCS3, have putative jpet.aspetjournals.org the long-acting b2-adrenoceptor agonists (LABA) indacaterol, anti-inflammatory, antibacterial, and/or antiviral activity. Numer- salmeterol, formoterol, and picumeterol were full agonists on ous indacaterol-regulated genes were also induced or repressed BEAS-2B cells transfected with a cAMP-response element in BEAS-2B cells and human primary bronchial epithelial cells by reporter but differed in efficacy (indacaterol $ formoterol . -
A Newly Identified Myomegalin Isoform Functions in Golgi Microtubule Organization and ER–Golgi Transport
ß 2014. Published by The Company of Biologists Ltd | Journal of Cell Science (2014) 127, 4904–4917 doi:10.1242/jcs.155408 RESEARCH ARTICLE A newly identified myomegalin isoform functions in Golgi microtubule organization and ER–Golgi transport Zhe Wang, Chao Zhang and Robert Z. Qi* ABSTRACT the formation of ER–Golgi cargo carriers that associate with dynein–dynactin to move along microtubules towards the Golgi The Golgi of mammalian cells is known to be a major microtubule- (Presley et al., 1997; Scales et al., 1997; Watson et al., 2005). organizing site that requires microtubules for its organization and The Golgi serves as a major microtubule-organizing center protein trafficking. However, the mechanisms underlying the (Chabin-Brion et al., 2001; Efimov et al., 2007; Miller et al., 2009; microtubule organization of the Golgi remain obscure. We used Rivero et al., 2009). For example, almost half of all cellular immunoprecipitation coupled with mass spectrometry to identify a microtubules originate from the Golgi in human retinal pigment widely expressed isoform of the poorly characterized muscle protein epithelial RPE1 cells (Efimov et al., 2007). Moreover, microtubule myomegalin. This newly identified isoform, myomegalin variant 8 nucleation at the Golgi does not require centrosomes, and it (MMG8), localized predominantly to cis-Golgi networks by interacting depends instead on c-tubulin (Efimov et al., 2007), the principal with AKAP450 (also known as AKAP9), and this interaction with microtubule nucleator in cells, which exists in the form of c-tubulin AKAP450 was required for the stability of both proteins. Disrupting complexes (cTuCs). The cis-Golgi proteins AKAP450 (also known MMG8 expression affected endoplasmic reticulum (ER)-to-Golgi as AKAP9, AKAP350, CG-NAP and hyperion) and GMAP210 trafficking and caused Golgi fragmentation. -
Precise, Pan-Cancer Discovery of Gene Fusions Reveals a Signature Of
bioRxiv preprint doi: https://doi.org/10.1101/178061; this version posted August 18, 2017. 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 4.0 International license. 1 Precise, pan-cancer discovery of gene fusions reveals a signature of selection in primary 2 tumors 3 4 Donald Eric Freeman1,3,Gillian Lee Hsieh1, Jonathan Michael Howard1, Erik Lehnert2, Julia 5 Salzman1,3,4* 6 7 Author affiliation 8 1Stanford University Department of Biochemistry, 279 Campus Drive, Stanford, CA 94305 9 2Seven Bridges Genomics, 1 Main Street, Suite 500, Cambridge MA 02142 10 3Stanford University Department of Biomedical Data Science, Stanford, CA 94305-5456 11 4Stanford Cancer Institute, Stanford, CA 94305 12 13 *Corresponding author [email protected] 14 15 Short Abstract: 16 The eXtent to which gene fusions function as drivers of cancer remains a critical open question 17 in cancer biology. In principle, transcriptome sequencing provided by The Cancer Genome 18 Atlas (TCGA) enables unbiased discovery of gene fusions and post-analysis that informs the 19 answer to this question. To date, such an analysis has been impossible because of 20 performance limitations in fusion detection algorithms. By engineering a new, more precise, 21 algorithm and statistical approaches to post-analysis of fusions called in TCGA data, we report 22 new recurrent gene fusions, including those that could be druggable; new candidate pan-cancer 23 oncogenes based on their profiles in fusions; and prevalent, previously overlooked, candidate 24 oncogenic gene fusions in ovarian cancer, a disease with minimal treatment advances in recent 25 decades.