Ancient Genomic Regulatory Blocks Are a Major Source for Gene Deserts in Vertebrates After Whole Genome Duplications
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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. -
Epigenome-Wide Exploratory Study of Monozygotic Twins Suggests Differentially Methylated Regions to Associate with Hand Grip Strength
Biogerontology (2019) 20:627–647 https://doi.org/10.1007/s10522-019-09818-1 (0123456789().,-volV)( 0123456789().,-volV) RESEARCH ARTICLE Epigenome-wide exploratory study of monozygotic twins suggests differentially methylated regions to associate with hand grip strength Mette Soerensen . Weilong Li . Birgit Debrabant . Marianne Nygaard . Jonas Mengel-From . Morten Frost . Kaare Christensen . Lene Christiansen . Qihua Tan Received: 15 April 2019 / Accepted: 24 June 2019 / Published online: 28 June 2019 Ó The Author(s) 2019 Abstract Hand grip strength is a measure of mus- significant CpG sites or pathways were found, how- cular strength and is used to study age-related loss of ever two of the suggestive top CpG sites were mapped physical capacity. In order to explore the biological to the COL6A1 and CACNA1B genes, known to be mechanisms that influence hand grip strength varia- related to muscular dysfunction. By investigating tion, an epigenome-wide association study (EWAS) of genomic regions using the comb-p algorithm, several hand grip strength in 672 middle-aged and elderly differentially methylated regions in regulatory monozygotic twins (age 55–90 years) was performed, domains were identified as significantly associated to using both individual and twin pair level analyses, the hand grip strength, and pathway analyses of these latter controlling the influence of genetic variation. regions revealed significant pathways related to the Moreover, as measurements of hand grip strength immune system, autoimmune disorders, including performed over 8 years were available in the elderly diabetes type 1 and viral myocarditis, as well as twins (age 73–90 at intake), a longitudinal EWAS was negative regulation of cell differentiation. -
Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo -
3D Cell Culture-Based Global Mirna Expression Analysis Reveals Mir-142-5P As a Theranostic Biomarker of Rectal Cancer Following Neoadjuvant Long-Course Treatment
biomolecules Article 3D Cell Culture-Based Global miRNA Expression Analysis Reveals miR-142-5p as a Theranostic Biomarker of Rectal Cancer Following Neoadjuvant Long-Course Treatment 1,2, 1,3, , 1,4,5 1 Linas Kunigenas y, Vaidotas Stankevicius * y, Audrius Dulskas , Elzbieta Budginaite , Gediminas Alzbutas 6,7, Eugenijus Stratilatovas 1,4, Nils Cordes 8,9,10,11,12 and Kestutis Suziedelis 1,2,* 1 National Cancer Institute, LT-08660 Vilnius, Lithuania; [email protected] (L.K.); [email protected] (A.D.); [email protected] (E.B.); [email protected] (E.S.) 2 Life Sciences Center, Institute of Biosciences, Vilnius University, LT-08412 Vilnius, Lithuania 3 Life Sciences Center, Institute of Biotechnology, Vilnius University, LT-08412 Vilnius, Lithuania 4 Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, LT-08406 Vilnius, Lithuania 5 University of Applied Sciences, Faculty of Health Care, LT-08303 Vilnius, Lithuania 6 Thermo Fisher Scientific, LT-02241 Vilnius, Lithuania; gediminas.alzbutas@thermofisher.com 7 Institute of Informatics, Faculty of Mathematics and Informatics, Vilnius University,LT-08303 Vilnius, Lithuania 8 OncoRay—National Center for Radiation Research in Oncology, Faculty of Medicine, Technische Universität, D–01307 Dresden, Germany; [email protected] 9 Department of Radiation Oncology, University Hospital Carl Gustav Carus, Technische Universität, D–01307 Dresden, Germany 10 Helmholtz–Zentrum Dresden–Rossendorf, Institute of Radiooncology–OncoRay,D–01328 Dresden, Germany 11 German Cancer Consortium (DKTK), partner site Dresden, D–69192 Heidelberg, Germany 12 German Cancer Research Center (DKFZ), D–69192 Heidelberg, Germany * Correspondence: [email protected] (V.S.); [email protected] (K.S.); Tel.: +370-5219-0904 (K.S.) These authors contributed equally to the work. -
SYNGAP1 Controls the Maturation of Dendrites, Synaptic Function, and Network Activity in Developing Human Neurons
7980 • The Journal of Neuroscience, October 7, 2020 • 40(41):7980–7994 Neurobiology of Disease SYNGAP1 Controls the Maturation of Dendrites, Synaptic Function, and Network Activity in Developing Human Neurons Nerea Llamosas,1 Vineet Arora,1 Ridhima Vij,2,3 Murat Kilinc,1 Lukasz Bijoch,4 Camilo Rojas,1 Adrian Reich,5 BanuPriya Sridharan,6 Erik Willems,7 David R. Piper,7 Louis Scampavia,6 Timothy P. Spicer,6 Courtney A. Miller,1,6 J. Lloyd Holder,2,3 and Gavin Rumbaugh1 1Department of Neuroscience, Scripps Research, Jupiter, Florida 33458, 2Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, Texas 77030, 3Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030, 4Laboratory of Neurobiology, BRAINCITY, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland, 5Center for Computational Biology and Bioinformatics, Scripps Research, Jupiter, Florida 33458, 6Department of Molecular Medicine, Scripps Research, Jupiter, Florida 33458, and 7Cell Biology, Thermo Fisher Scientific, Carlsbad, California 92008 SYNGAP1 is a major genetic risk factor for global developmental delay, autism spectrum disorder, and epileptic encephalopathy. De novo loss-of-function variants in this gene cause a neurodevelopmental disorder defined by cognitive impairment, social-communica- tion disorder, and early-onset seizures. Cell biological studies in mouse and rat neurons have shown that Syngap1 regulates developing excitatory synapse structure and function, with loss-of-function variants driving formation of larger dendritic spines and stronger glu- tamatergic transmission. However, studies to date have been limited to mouse and rat neurons. Therefore, it remains unknown how SYNGAP1 loss of function impacts the development and function of human neurons. -
Genomic Landscape of Paediatric Adrenocortical Tumours
ARTICLE Received 5 Aug 2014 | Accepted 16 Jan 2015 | Published 6 Mar 2015 DOI: 10.1038/ncomms7302 Genomic landscape of paediatric adrenocortical tumours Emilia M. Pinto1,*, Xiang Chen2,*, John Easton2, David Finkelstein2, Zhifa Liu3, Stanley Pounds3, Carlos Rodriguez-Galindo4, Troy C. Lund5, Elaine R. Mardis6,7,8, Richard K. Wilson6,7,9, Kristy Boggs2, Donald Yergeau2, Jinjun Cheng2, Heather L. Mulder2, Jayanthi Manne2, Jesse Jenkins10, Maria J. Mastellaro11, Bonald C. Figueiredo12, Michael A. Dyer13, Alberto Pappo14, Jinghui Zhang2, James R. Downing10, Raul C. Ribeiro14,* & Gerard P. Zambetti1,* Paediatric adrenocortical carcinoma is a rare malignancy with poor prognosis. Here we analyse 37 adrenocortical tumours (ACTs) by whole-genome, whole-exome and/or transcriptome sequencing. Most cases (91%) show loss of heterozygosity (LOH) of chromosome 11p, with uniform selection against the maternal chromosome. IGF2 on chromosome 11p is overexpressed in 100% of the tumours. TP53 mutations and chromosome 17 LOH with selection against wild-type TP53 are observed in 28 ACTs (76%). Chromosomes 11p and 17 undergo copy-neutral LOH early during tumorigenesis, suggesting tumour-driver events. Additional genetic alterations include recurrent somatic mutations in ATRX and CTNNB1 and integration of human herpesvirus-6 in chromosome 11p. A dismal outcome is predicted by concomitant TP53 and ATRX mutations and associated genomic abnormalities, including massive structural variations and frequent background mutations. Collectively, these findings demonstrate the nature, timing and potential prognostic significance of key genetic alterations in paediatric ACT and outline a hypothetical model of paediatric adrenocortical tumorigenesis. 1 Department of Biochemistry, St Jude Children’s Research Hospital, Memphis, Tennessee 38105, USA. 2 Department of Computational Biology and Bioinformatics, St Jude Children’s Research Hospital, Memphis, Tennessee 38105, USA. -
Variation in Protein Coding Genes Identifies Information Flow
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 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. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 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. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
Next-Generation Sequencing of Translocation Renal Cell Carcinoma Reveals Novel RNA Splicing Partners and Frequent Mutations of Chromatin-Remodeling Genes
Published OnlineFirst June 4, 2014; DOI: 10.1158/1078-0432.CCR-13-3036 Clinical Cancer Biology of Human Tumors Research Next-Generation Sequencing of Translocation Renal Cell Carcinoma Reveals Novel RNA Splicing Partners and Frequent Mutations of Chromatin-Remodeling Genes Gabriel G. Malouf1, Xiaoping Su7, Hui Yao7, Jianjun Gao8, Liangwen Xiong8, Qiuming He8, Eva Comperat 2, Jer ome^ Couturier3, Vincent Molinie4, Bernard Escudier5, Philippe Camparo6, Denaha J. Doss9, Erika J. Thompson9, David Khayat1, Christopher G. Wood10, Willie Yu11, Bin T. Teh11, John Weinstein7, and Nizar M. Tannir8 Abstract Purpose: MITF/TFE translocation renal cell carcinoma (TRCC) is a rare subtype of kidney cancer. Its incidence and the genome-wide characterization of its genetic origin have not been fully elucidated. Experimental Design: We performed RNA and exome sequencing on an exploratory set of TRCC (n ¼ 7), and validated our findings using The Cancer Genome Atlas (TCGA) clear-cell RCC (ccRCC) dataset (n ¼ 460). Results: Using the TCGA dataset, we identified seven TRCC (1.5%) cases and determined their genomic profile. We discovered three novel partners of MITF/TFE (LUC7L3, KHSRP, and KHDRBS2) that are involved in RNA splicing. TRCC displayed a unique gene expression signature as compared with other RCC types, and showed activation of MITF, the transforming growth factor b1 and the PI3K complex targets. Genes differentially spliced between TRCC and other RCC types were enriched for MITF and ID2 targets. Exome sequencing of TRCC revealed a distinct mutational spectrum as compared with ccRCC, with frequent mutations in chromatin-remodeling genes (six of eight cases, three of which were from the TCGA). -
A Spontaneous Mouse Deletion in Mctp1 Uncovers a Long-Range Cis
Developmental Biology 443 (2018) 153–164 Contents lists available at ScienceDirect Developmental Biology journal homepage: www.elsevier.com/locate/developmentalbiology A spontaneous mouse deletion in Mctp1 uncovers a long-range cis- MARK regulatory region crucial for NR2F1 function during inner ear development ⁎ Basile Tarchinia,b,c, , Chantal Longo-Guessa, Cong Tiana,c, Abigail L.D. Tadeneva, ⁎ Nicholas Devanneya, Kenneth R. Johnsona, a The Jackson Laboratory, Bar Harbor, ME 04609, USA b Department of Medicine, Tufts University, Boston 02111, MA, USA c Graduate School of Biomedical Science and Engineering (GSBSE), University of Maine, Orono 04469, ME, USA ARTICLE INFO ABSTRACT Keywords: Hundreds of thousands of cis-regulatory DNA sequences are predicted in vertebrate genomes, but unlike genes Deafness themselves, few have been characterized at the functional level or even unambiguously paired with a target gene. Inner ear development Here we serendipitously identified and started investigating the first reported long-range regulatory region for Cis-regulation the Nr2f1 (Coup-TFI) transcription factor gene. NR2F1 is temporally and spatially regulated during Long-range enhancer development and required for patterning and regionalization in the nervous system, including sensory hair Mctp1 cell organization in the auditory epithelium of the cochlea. Analyzing the deaf wanderer (dwnd) spontaneous Nr2f1 mouse mutation, we traced back the cause of its associated circling behavior to a 53 kb deletion removing five exons and adjacent intronic regions of the poorly characterized Mctp1 gene. Interestingly, loss of Mctp1 function cannot account for the hearing loss, inner ear dysmorphology and sensory hair cell disorganization observed in dwnd mutants. Instead, we found that the Mctp1dwnd deletion affects the Nr2f1 gene located 1.4 Mb away, downregulating transcription and protein expression in the embryonic cochlea. -
Mirna Clusters with Up-Regulated Expression in Colorectal Cancer
cancers Review miRNA Clusters with Up-Regulated Expression in Colorectal Cancer Paulína Pidíková and Iveta Herichová * Department of Animal Physiology and Ethology, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkoviˇcova6, 842 15 Bratislava, Slovakia; [email protected] * Correspondence: [email protected]; Tel.: +421-602-96-572 Simple Summary: As miRNAs show the capacity to be used as CRC biomarkers, we analysed exper- imentally validated data about frequently up-regulated miRNA clusters in CRC tissue. We identified 15 clusters that showed increased expression in CRC: miR-106a/363, miR-106b/93/25, miR-17/92a-1, miR-181a-1/181b-1, miR-181a-2/181b-2, miR-181c/181d, miR-183/96/182, miR-191/425, miR-200c/141, miR-203a/203b, miR-222/221, mir-23a/27a/24-2, mir-29b-1/29a, mir-301b/130b and mir-452/224. Cluster positions in the genome are intronic or intergenic. Most clusters are regu- lated by several transcription factors, and by long non-coding RNAs. In some cases, co-expression of miRNA with other cluster members or host gene has been proven. miRNA expression patterns in cancer tissue, blood and faeces were compared. The members of the selected clusters target 181 genes. Their functions and corresponding pathways were revealed with the use of Panther analysis. Clusters miR-17/92a-1, miR-106a/363, miR-106b/93/25 and miR-183/96/182 showed the strongest association with metastasis occurrence and poor patient survival, implicating them as the most promising targets of translational research. Abstract: Colorectal cancer (CRC) is one of the most common malignancies in Europe and North Citation: Pidíková, P.; Herichová, I. -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
Dysregulation of Cotranscriptional Alternative Splicing Underlies CHARGE Syndrome
Dysregulation of cotranscriptional alternative splicing underlies CHARGE syndrome Catherine Bélangera,b,1, Félix-Antoine Bérubé-Simarda,b,1, Elizabeth Leduca,b, Guillaume Bernasa,b, Philippe M. Campeauc,d, Seema R. Lalanie, Donna M. Martinf,g, Stephanie Bielash,i, Amanda Mocciah,i, Anshika Srivastavah,i, David W. Silversidesj, and Nicolas Pilona,b,2 aMolecular Genetics of Development Laboratory, Department of Biological Sciences, University of Quebec at Montreal, Montreal, QC H2X 3Y7, Canada; bBioMed Research Center, University of Quebec at Montreal, Montreal, QC H2X 3Y7, Canada; cDepartment of Pediatrics, University of Montreal, Montreal, QC H3T 1C5, Canada; dCentre Hospitalier Universitaire Sainte-Justine Research Centre, University of Montreal, Montreal, QC H3T 1C5, Canada; eDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030; fDepartment of Pediatrics, University of Michigan Medical School, Ann Arbor, MI 48109; gDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109; hDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109; iDepartment of Neuroscience, University of Michigan Medical School, Ann Arbor, MI 48109; and jDepartment of Veterinary Biomedicine, Faculty of Veterinary Medicine, University of Montreal, Montreal, QC J2S 2M2, Canada Edited by Robb Krumlauf, Stowers Institute for Medical Research, Kansas City, MO, and approved December 11, 2017 (received for review August 31, 2017) CHARGE syndrome—which stands for coloboma of the eye, heart also because an important subset of cases remains genetically un- defects, atresia of choanae, retardation of growth/development, explained (1, 2). genital abnormalities, and ear anomalies—is a severe develop- Heterozygous mutation of CHD7 (chromodomain helicase mental disorder with wide phenotypic variability, caused mainly DNA-binding protein 7) is currently the only known genetic cause by mutations in CHD7 (chromodomain helicase DNA-binding pro- of CHARGE syndrome (8).