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  • 1
    Publication Date: 2013-08-08
    Description: HeLa is the most widely used model cell line for studying human cellular and molecular biology. To date, no genomic reference for this cell line has been released, and experiments have relied on the human reference genome. Effective design and interpretation of molecular genetic studies performed using HeLa cells require accurate genomic information. Here we present a detailed genomic and transcriptomic characterization of a HeLa cell line. We performed DNA and RNA sequencing of a HeLa Kyoto cell line and analyzed its mutational portfolio and gene expression profile. Segmentation of the genome according to copy number revealed a remarkably high level of aneuploidy and numerous large structural variants at unprecedented resolution. Some of the extensive genomic rearrangements are indicative of catastrophic chromosome shattering, known as chromothripsis. Our analysis of the HeLa gene expression profile revealed that several pathways, including cell cycle and DNA repair, exhibit significantly different expression patterns from those in normal human tissues. Our results provide the first detailed account of genomic variants in the HeLa genome, yielding insight into their impact on gene expression and cellular function as well as their origins. This study underscores the importance of accounting for the strikingly aberrant characteristics of HeLa cells when designing and interpreting experiments, and has implications for the use of HeLa as a model of human biology.
    Electronic ISSN: 2160-1836
    Topics: Biology
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  • 2
    Publication Date: 2011-02-05
    Description: Genomic structural variants (SVs) are abundant in humans, differing from other forms of variation in extent, origin and functional impact. Despite progress in SV characterization, the nucleotide resolution architecture of most SVs remains unknown. We constructed a map of unbalanced SVs (that is, copy number variants) based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations. Our map encompassed 22,025 deletions and 6,000 additional SVs, including insertions and tandem duplications. Most SVs (53%) were mapped to nucleotide resolution, which facilitated analysing their origin and functional impact. We examined numerous whole and partial gene deletions with a genotyping approach and observed a depletion of gene disruptions amongst high frequency deletions. Furthermore, we observed differences in the size spectra of SVs originating from distinct formation mechanisms, and constructed a map of SV hotspots formed by common mechanisms. Our analytical framework and SV map serves as a resource for sequencing-based association studies.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3077050/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3077050/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mills, Ryan E -- Walter, Klaudia -- Stewart, Chip -- Handsaker, Robert E -- Chen, Ken -- Alkan, Can -- Abyzov, Alexej -- Yoon, Seungtai Chris -- Ye, Kai -- Cheetham, R Keira -- Chinwalla, Asif -- Conrad, Donald F -- Fu, Yutao -- Grubert, Fabian -- Hajirasouliha, Iman -- Hormozdiari, Fereydoun -- Iakoucheva, Lilia M -- Iqbal, Zamin -- Kang, Shuli -- Kidd, Jeffrey M -- Konkel, Miriam K -- Korn, Joshua -- Khurana, Ekta -- Kural, Deniz -- Lam, Hugo Y K -- Leng, Jing -- Li, Ruiqiang -- Li, Yingrui -- Lin, Chang-Yun -- Luo, Ruibang -- Mu, Xinmeng Jasmine -- Nemesh, James -- Peckham, Heather E -- Rausch, Tobias -- Scally, Aylwyn -- Shi, Xinghua -- Stromberg, Michael P -- Stutz, Adrian M -- Urban, Alexander Eckehart -- Walker, Jerilyn A -- Wu, Jiantao -- Zhang, Yujun -- Zhang, Zhengdong D -- Batzer, Mark A -- Ding, Li -- Marth, Gabor T -- McVean, Gil -- Sebat, Jonathan -- Snyder, Michael -- Wang, Jun -- Ye, Kenny -- Eichler, Evan E -- Gerstein, Mark B -- Hurles, Matthew E -- Lee, Charles -- McCarroll, Steven A -- Korbel, Jan O -- 1000 Genomes Project -- 062023/Wellcome Trust/United Kingdom -- 077009/Wellcome Trust/United Kingdom -- 077014/Wellcome Trust/United Kingdom -- 077192/Wellcome Trust/United Kingdom -- 085532/Wellcome Trust/United Kingdom -- G0701805/Medical Research Council/United Kingdom -- G1000758/Medical Research Council/United Kingdom -- P01 HG004120/HG/NHGRI NIH HHS/ -- P41 HG004221/HG/NHGRI NIH HHS/ -- P41 HG004221-01/HG/NHGRI NIH HHS/ -- P41 HG004221-02/HG/NHGRI NIH HHS/ -- P41 HG004221-03/HG/NHGRI NIH HHS/ -- P41 HG004221-03S1/HG/NHGRI NIH HHS/ -- P41 HG004221-03S2/HG/NHGRI NIH HHS/ -- P41 HG004221-03S3/HG/NHGRI NIH HHS/ -- R01 GM059290/GM/NIGMS NIH HHS/ -- R01 GM081533/GM/NIGMS NIH HHS/ -- R01 GM081533-01A1/GM/NIGMS NIH HHS/ -- R01 GM081533-02/GM/NIGMS NIH HHS/ -- R01 GM081533-03/GM/NIGMS NIH HHS/ -- R01 GM081533-04/GM/NIGMS NIH HHS/ -- R01 GM59290/GM/NIGMS NIH HHS/ -- R01 HG004719/HG/NHGRI NIH HHS/ -- R01 HG004719-01/HG/NHGRI NIH HHS/ -- R01 HG004719-02/HG/NHGRI NIH HHS/ -- R01 HG004719-02S1/HG/NHGRI NIH HHS/ -- R01 HG004719-03/HG/NHGRI NIH HHS/ -- R01 HG004719-04/HG/NHGRI NIH HHS/ -- R01 MH091350/MH/NIMH NIH HHS/ -- RC2 HG005552/HG/NHGRI NIH HHS/ -- RC2 HG005552-01/HG/NHGRI NIH HHS/ -- RC2 HG005552-02/HG/NHGRI NIH HHS/ -- U01 HG005209/HG/NHGRI NIH HHS/ -- U01 HG005209-01/HG/NHGRI NIH HHS/ -- U01 HG005209-02/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Feb 3;470(7332):59-65. doi: 10.1038/nature09708.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21293372" target="_blank"〉PubMed〈/a〉
    Keywords: DNA Copy Number Variations/*genetics ; Gene Duplication/genetics ; Genetic Predisposition to Disease/genetics ; *Genetics, Population ; Genome, Human/*genetics ; *Genomics ; Genotype ; Humans ; Mutagenesis, Insertional/genetics ; Reproducibility of Results ; Sequence Analysis, DNA ; Sequence Deletion/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2012-07-27
    Description: Medulloblastoma is an aggressively growing tumour, arising in the cerebellum or medulla/brain stem. It is the most common malignant brain tumour in children, and shows tremendous biological and clinical heterogeneity. Despite recent treatment advances, approximately 40% of children experience tumour recurrence, and 30% will die from their disease. Those who survive often have a significantly reduced quality of life. Four tumour subgroups with distinct clinical, biological and genetic profiles are currently identified. WNT tumours, showing activated wingless pathway signalling, carry a favourable prognosis under current treatment regimens. SHH tumours show hedgehog pathway activation, and have an intermediate prognosis. Group 3 and 4 tumours are molecularly less well characterized, and also present the greatest clinical challenges. The full repertoire of genetic events driving this distinction, however, remains unclear. Here we describe an integrative deep-sequencing analysis of 125 tumour-normal pairs, conducted as part of the International Cancer Genome Consortium (ICGC) PedBrain Tumor Project. Tetraploidy was identified as a frequent early event in Group 3 and 4 tumours, and a positive correlation between patient age and mutation rate was observed. Several recurrent mutations were identified, both in known medulloblastoma-related genes (CTNNB1, PTCH1, MLL2, SMARCA4) and in genes not previously linked to this tumour (DDX3X, CTDNEP1, KDM6A, TBR1), often in subgroup-specific patterns. RNA sequencing confirmed these alterations, and revealed the expression of what are, to our knowledge, the first medulloblastoma fusion genes identified. Chromatin modifiers were frequently altered across all subgroups. These findings enhance our understanding of the genomic complexity and heterogeneity underlying medulloblastoma, and provide several potential targets for new therapeutics, especially for Group 3 and 4 patients.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662966/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662966/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jones, David T W -- Jager, Natalie -- Kool, Marcel -- Zichner, Thomas -- Hutter, Barbara -- Sultan, Marc -- Cho, Yoon-Jae -- Pugh, Trevor J -- Hovestadt, Volker -- Stutz, Adrian M -- Rausch, Tobias -- Warnatz, Hans-Jorg -- Ryzhova, Marina -- Bender, Sebastian -- Sturm, Dominik -- Pleier, Sabrina -- Cin, Huriye -- Pfaff, Elke -- Sieber, Laura -- Wittmann, Andrea -- Remke, Marc -- Witt, Hendrik -- Hutter, Sonja -- Tzaridis, Theophilos -- Weischenfeldt, Joachim -- Raeder, Benjamin -- Avci, Meryem -- Amstislavskiy, Vyacheslav -- Zapatka, Marc -- Weber, Ursula D -- Wang, Qi -- Lasitschka, Barbel -- Bartholomae, Cynthia C -- Schmidt, Manfred -- von Kalle, Christof -- Ast, Volker -- Lawerenz, Chris -- Eils, Jurgen -- Kabbe, Rolf -- Benes, Vladimir -- van Sluis, Peter -- Koster, Jan -- Volckmann, Richard -- Shih, David -- Betts, Matthew J -- Russell, Robert B -- Coco, Simona -- Tonini, Gian Paolo -- Schuller, Ulrich -- Hans, Volkmar -- Graf, Norbert -- Kim, Yoo-Jin -- Monoranu, Camelia -- Roggendorf, Wolfgang -- Unterberg, Andreas -- Herold-Mende, Christel -- Milde, Till -- Kulozik, Andreas E -- von Deimling, Andreas -- Witt, Olaf -- Maass, Eberhard -- Rossler, Jochen -- Ebinger, Martin -- Schuhmann, Martin U -- Fruhwald, Michael C -- Hasselblatt, Martin -- Jabado, Nada -- Rutkowski, Stefan -- von Bueren, Andre O -- Williamson, Dan -- Clifford, Steven C -- McCabe, Martin G -- Collins, V Peter -- Wolf, Stephan -- Wiemann, Stefan -- Lehrach, Hans -- Brors, Benedikt -- Scheurlen, Wolfram -- Felsberg, Jorg -- Reifenberger, Guido -- Northcott, Paul A -- Taylor, Michael D -- Meyerson, Matthew -- Pomeroy, Scott L -- Yaspo, Marie-Laure -- Korbel, Jan O -- Korshunov, Andrey -- Eils, Roland -- Pfister, Stefan M -- Lichter, Peter -- P30 HD018655/HD/NICHD NIH HHS/ -- R01 CA109467/CA/NCI NIH HHS/ -- England -- Nature. 2012 Aug 2;488(7409):100-5. doi: 10.1038/nature11284.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg 69120, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22832583" target="_blank"〉PubMed〈/a〉
    Keywords: Aging/genetics ; Amino Acid Sequence ; Cell Transformation, Neoplastic ; Cerebellar Neoplasms/classification/diagnosis/*genetics/pathology ; Child ; Chromatin/metabolism ; Chromosomes, Human/genetics ; DEAD-box RNA Helicases/genetics ; DNA Helicases/genetics ; DNA-Binding Proteins/genetics ; Genome, Human/*genetics ; Genomics ; Hedgehog Proteins/metabolism ; High-Throughput Nucleotide Sequencing ; Histone Demethylases/genetics ; Humans ; Medulloblastoma/classification/diagnosis/*genetics/pathology ; Methylation ; Mutation/genetics ; Mutation Rate ; Neoplasm Proteins/genetics ; Nuclear Proteins/genetics ; Oncogene Proteins, Fusion/genetics ; Phosphoprotein Phosphatases/genetics ; Polyploidy ; Receptors, Cell Surface/genetics ; Sequence Analysis, RNA ; Signal Transduction ; T-Box Domain Proteins/genetics ; Transcription Factors/genetics ; Wnt Proteins/metabolism ; beta Catenin/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2012-01-31
    Description: Glioblastoma multiforme (GBM) is a lethal brain tumour in adults and children. However, DNA copy number and gene expression signatures indicate differences between adult and paediatric cases. To explore the genetic events underlying this distinction, we sequenced the exomes of 48 paediatric GBM samples. Somatic mutations in the H3.3-ATRX-DAXX chromatin remodelling pathway were identified in 44% of tumours (21/48). Recurrent mutations in H3F3A, which encodes the replication-independent histone 3 variant H3.3, were observed in 31% of tumours, and led to amino acid substitutions at two critical positions within the histone tail (K27M, G34R/G34V) involved in key regulatory post-translational modifications. Mutations in ATRX (alpha-thalassaemia/mental retardation syndrome X-linked) and DAXX (death-domain associated protein), encoding two subunits of a chromatin remodelling complex required for H3.3 incorporation at pericentric heterochromatin and telomeres, were identified in 31% of samples overall, and in 100% of tumours harbouring a G34R or G34V H3.3 mutation. Somatic TP53 mutations were identified in 54% of all cases, and in 86% of samples with H3F3A and/or ATRX mutations. Screening of a large cohort of gliomas of various grades and histologies (n = 784) showed H3F3A mutations to be specific to GBM and highly prevalent in children and young adults. Furthermore, the presence of H3F3A/ATRX-DAXX/TP53 mutations was strongly associated with alternative lengthening of telomeres and specific gene expression profiles. This is, to our knowledge, the first report to highlight recurrent mutations in a regulatory histone in humans, and our data suggest that defects of the chromatin architecture underlie paediatric and young adult GBM pathogenesis.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schwartzentruber, Jeremy -- Korshunov, Andrey -- Liu, Xiao-Yang -- Jones, David T W -- Pfaff, Elke -- Jacob, Karine -- Sturm, Dominik -- Fontebasso, Adam M -- Quang, Dong-Anh Khuong -- Tonjes, Martje -- Hovestadt, Volker -- Albrecht, Steffen -- Kool, Marcel -- Nantel, Andre -- Konermann, Carolin -- Lindroth, Anders -- Jager, Natalie -- Rausch, Tobias -- Ryzhova, Marina -- Korbel, Jan O -- Hielscher, Thomas -- Hauser, Peter -- Garami, Miklos -- Klekner, Almos -- Bognar, Laszlo -- Ebinger, Martin -- Schuhmann, Martin U -- Scheurlen, Wolfram -- Pekrun, Arnulf -- Fruhwald, Michael C -- Roggendorf, Wolfgang -- Kramm, Christoph -- Durken, Matthias -- Atkinson, Jeffrey -- Lepage, Pierre -- Montpetit, Alexandre -- Zakrzewska, Magdalena -- Zakrzewski, Krzystof -- Liberski, Pawel P -- Dong, Zhifeng -- Siegel, Peter -- Kulozik, Andreas E -- Zapatka, Marc -- Guha, Abhijit -- Malkin, David -- Felsberg, Jorg -- Reifenberger, Guido -- von Deimling, Andreas -- Ichimura, Koichi -- Collins, V Peter -- Witt, Hendrik -- Milde, Till -- Witt, Olaf -- Zhang, Cindy -- Castelo-Branco, Pedro -- Lichter, Peter -- Faury, Damien -- Tabori, Uri -- Plass, Christoph -- Majewski, Jacek -- Pfister, Stefan M -- Jabado, Nada -- Canadian Institutes of Health Research/Canada -- England -- Nature. 2012 Jan 29;482(7384):226-31. doi: 10.1038/nature10833.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉McGill University and Genome Quebec Innovation Centre, Montreal, Quebec H3A 1A4, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22286061" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptor Proteins, Signal Transducing/genetics ; Base Sequence ; Child ; Chromatin/*genetics/metabolism ; Chromatin Assembly and Disassembly/*genetics ; DNA Helicases/genetics ; DNA Mutational Analysis ; Exome/genetics ; Gene Expression Profiling ; Glioblastoma/*genetics ; Histones/*genetics/metabolism ; Humans ; Molecular Sequence Data ; Mutation/*genetics ; Nuclear Proteins/genetics ; Telomere/genetics ; Tumor Suppressor Protein p53/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2015-10-04
    Description: Structural variants are implicated in numerous diseases and make up the majority of varying nucleotides among human genomes. Here we describe an integrated set of eight structural variant classes comprising both balanced and unbalanced variants, which we constructed using short-read DNA sequencing data and statistically phased onto haplotype blocks in 26 human populations. Analysing this set, we identify numerous gene-intersecting structural variants exhibiting population stratification and describe naturally occurring homozygous gene knockouts that suggest the dispensability of a variety of human genes. We demonstrate that structural variants are enriched on haplotypes identified by genome-wide association studies and exhibit enrichment for expression quantitative trait loci. Additionally, we uncover appreciable levels of structural variant complexity at different scales, including genic loci subject to clusters of repeated rearrangement and complex structural variants with multiple breakpoints likely to have formed through individual mutational events. Our catalogue will enhance future studies into structural variant demography, functional impact and disease association.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617611/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617611/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sudmant, Peter H -- Rausch, Tobias -- Gardner, Eugene J -- Handsaker, Robert E -- Abyzov, Alexej -- Huddleston, John -- Zhang, Yan -- Ye, Kai -- Jun, Goo -- Hsi-Yang Fritz, Markus -- Konkel, Miriam K -- Malhotra, Ankit -- Stutz, Adrian M -- Shi, Xinghua -- Paolo Casale, Francesco -- Chen, Jieming -- Hormozdiari, Fereydoun -- Dayama, Gargi -- Chen, Ken -- Malig, Maika -- Chaisson, Mark J P -- Walter, Klaudia -- Meiers, Sascha -- Kashin, Seva -- Garrison, Erik -- Auton, Adam -- Lam, Hugo Y K -- Jasmine Mu, Xinmeng -- Alkan, Can -- Antaki, Danny -- Bae, Taejeong -- Cerveira, Eliza -- Chines, Peter -- Chong, Zechen -- Clarke, Laura -- Dal, Elif -- Ding, Li -- Emery, Sarah -- Fan, Xian -- Gujral, Madhusudan -- Kahveci, Fatma -- Kidd, Jeffrey M -- Kong, Yu -- Lameijer, Eric-Wubbo -- McCarthy, Shane -- Flicek, Paul -- Gibbs, Richard A -- Marth, Gabor -- Mason, Christopher E -- Menelaou, Androniki -- Muzny, Donna M -- Nelson, Bradley J -- Noor, Amina -- Parrish, Nicholas F -- Pendleton, Matthew -- Quitadamo, Andrew -- Raeder, Benjamin -- Schadt, Eric E -- Romanovitch, Mallory -- Schlattl, Andreas -- Sebra, Robert -- Shabalin, Andrey A -- Untergasser, Andreas -- Walker, Jerilyn A -- Wang, Min -- Yu, Fuli -- Zhang, Chengsheng -- Zhang, Jing -- Zheng-Bradley, Xiangqun -- Zhou, Wanding -- Zichner, Thomas -- Sebat, Jonathan -- Batzer, Mark A -- McCarroll, Steven A -- 1000 Genomes Project Consortium -- Mills, Ryan E -- Gerstein, Mark B -- Bashir, Ali -- Stegle, Oliver -- Devine, Scott E -- Lee, Charles -- Eichler, Evan E -- Korbel, Jan O -- P01HG007497/HG/NHGRI NIH HHS/ -- R01 CA166661/CA/NCI NIH HHS/ -- R01 HG002385/HG/NHGRI NIH HHS/ -- R01 HG002898/HG/NHGRI NIH HHS/ -- R01CA166661/CA/NCI NIH HHS/ -- R01GM59290/GM/NIGMS NIH HHS/ -- R01HG002898/HG/NHGRI NIH HHS/ -- R01HG007068/HG/NHGRI NIH HHS/ -- RR029676-01/RR/NCRR NIH HHS/ -- RR19895/RR/NCRR NIH HHS/ -- T32 GM008666/GM/NIGMS NIH HHS/ -- U41 HG007497/HG/NHGRI NIH HHS/ -- U41HG007497/HG/NHGRI NIH HHS/ -- WT085532/Z/08/Z/Wellcome Trust/United Kingdom -- WT104947/Z/14/Z/Wellcome Trust/United Kingdom -- England -- Nature. 2015 Oct 1;526(7571):75-81. doi: 10.1038/nature15394.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genome Sciences, University of Washington, 3720 15th Avenue NE, Seattle, Washington 98195-5065, USA. ; European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstrasse 1, 69117 Heidelberg, Germany. ; Institute for Genome Sciences, University of Maryland School of Medicine, 801 W Baltimore Street, Baltimore, Maryland 21201, USA. ; Department of Genetics, Harvard Medical School, Boston, 25 Shattuck Street, Boston, Massachusetts 02115, USA. ; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, Massachusetts 02142, USA. ; Department of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, 200 First Street SW, Rochester, Minnesota 55905, USA. ; Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA. ; Program in Computational Biology and Bioinformatics, Yale University, BASS 432 &437, 266 Whitney Avenue, New Haven, Connecticut 06520, USA. ; Department of Molecular Biophysics and Biochemistry, School of Medicine, Yale University, 266 Whitney Avenue, New Haven, Connecticut 06520, USA. ; The Genome Institute, Washington University School of Medicine, 4444 Forest Park Avenue, St Louis, Missouri 63108, USA. ; Department of Genetics, Washington University in St Louis, 4444 Forest Park Avenue, St Louis, Missouri 63108, USA. ; Department of Biostatistics and Center for Statistical Genetics, University of Michigan, 1415 Washington Heights, Ann Arbor, Michigan 48109, USA. ; Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, 1200 Pressler St., Houston, Texas 77030, USA. ; Department of Biological Sciences, Louisiana State University, 202 Life Sciences Building, Baton Rouge, Louisiana 70803, USA. ; The Jackson Laboratory for Genomic Medicine, 10 Discovery 263 Farmington Avenue, Farmington, Connecticut 06030, USA. ; Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, North Carolina 28223, USA. ; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. ; Integrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, Connecticut 06520, USA. ; Department of Computational Medicine &Bioinformatics, University of Michigan, 500 S. State Street, Ann Arbor, Michigan 48109, USA. ; The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030, USA. ; The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK. ; Department of Biology, Boston College, 355 Higgins Hall, 140 Commonwealth Avenue, Chestnut Hill, Massachusetts 02467, USA. ; Department of Genetics, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, New York 10461, USA. ; Bina Technologies, Roche Sequencing, 555 Twin Dolphin Drive, Redwood City, California 94065, USA. ; Cancer Program, Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, Massachusetts 02142, USA. ; Department of Computer Engineering, Bilkent University, 06800 Ankara, Turkey. ; University of California San Diego (UCSD), 9500 Gilman Drive, La Jolla, California 92093, USA. ; National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892 USA. ; Department of Medicine, Washington University in St Louis, 4444 Forest Park Avenue, St Louis, Missouri 63108, USA. ; Siteman Cancer Center, 660 South Euclid Avenue, St Louis, Missouri 63110, USA. ; Department of Human Genetics, University of Michigan, 1241 Catherine Street, Ann Arbor, Michigan 48109, USA. ; Molecular Epidemiology, Leiden University Medical Center, Leiden 2300RA, The Netherlands. ; Baylor College of Medicine, 1 Baylor Plaza, Houston, Texas 77030, USA. ; The Department of Physiology and Biophysics and the HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, 1305 York Avenue, Weill Cornell Medical College, New York, New York 10065, USA. ; The Feil Family Brain and Mind Research Institute, 413 East 69th St, Weill Cornell Medical College, New York, New York 10065, USA. ; University of Oxford, 1 South Parks Road, Oxford OX3 9DS, UK. ; Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands. ; Department of Genetics and Genomic Sciences, Icahn School of Medicine, New York School of Natural Sciences, 1428 Madison Avenue, New York, New York 10029, USA. ; Institute for Virus Research, Kyoto University, 53 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan. ; Center for Biomarker Research and Precision Medicine, Virginia Commonwealth University, 1112 East Clay Street, McGuire Hall, Richmond, Virginia 23298-0581, USA. ; Zentrum fur Molekulare Biologie, University of Heidelberg, Im Neuenheimer Feld 282, 69120 Heidelberg, Germany. ; Department of Computer Science, Yale University, 51 Prospect Street, New Haven, Connecticut 06511, USA. ; Department of Graduate Studies - Life Sciences, Ewha Womans University, Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, South Korea.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26432246" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Genetic Predisposition to Disease ; Genetic Variation/*genetics ; Genetics, Medical ; Genetics, Population ; Genome, Human/*genetics ; Genome-Wide Association Study ; Genomics ; Genotype ; Haplotypes/genetics ; Homozygote ; Humans ; Molecular Sequence Data ; Mutation Rate ; *Physical Chromosome Mapping ; Polymorphism, Single Nucleotide/genetics ; Quantitative Trait Loci/genetics ; Sequence Analysis, DNA ; Sequence Deletion/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2013-07-16
    Description: Interaction between the viral protein Rev and the RNA motifs known as Rev response elements (RREs) is required for transport of unspliced and partially spliced human immunodeficiency virus (HIV)-1 and HIV-2 RNAs from the nucleus to the cytoplasm during the later stages of virus replication. A more detailed understanding of these nucleoprotein complexes and the host factors with which they interact should accelerate the development of new antiviral drugs targeting cis- acting RNA regulatory signals. In this communication, the secondary structures of the HIV-2 RRE and two RNA folding precursors have been identified using the SHAPE (selective 2'-hydroxyl acylation analyzed by primer extension) chemical probing methodology together with a novel mathematical approach for determining the secondary structures of RNA conformers present in a mixture. A complementary chemical probing technique was also used to support these secondary structure models, to confirm that the RRE2 RNA undergoes a folding transition and to obtain information about the relative positioning of RRE2 substructures in three dimensions. Our analysis collectively suggests that the HIV-2 RRE undergoes two conformational transitions before assuming the energetically most favorable conformer. The 3D models for the HIV-2 RRE and folding intermediates are also presented, wherein the Rev-binding stem–loops (IIB and I) are located coaxially in the former, which is in agreement with previous models for HIV-1 Rev-RRE binding.
    Keywords: Nucleic acid structure, RNA characterisation and manipulation
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 7
    Publication Date: 2013-05-04
    Description: The Dengue virus (DENV) genome contains multiple cis -acting elements required for translation and replication. Previous studies indicated that a 719-nt subgenomic minigenome (DENV-MINI) is an efficient template for translation and (–) strand RNA synthesis in vitro . We performed a detailed structural analysis of DENV-MINI RNA, combining chemical acylation techniques, Pb 2+ ion-induced hydrolysis and site-directed mutagenesis. Our results highlight protein-independent 5'–3' terminal interactions involving hybridization between recognized cis -acting motifs. Probing analyses identified tandem dumbbell structures (DBs) within the 3' terminus spaced by single-stranded regions, internal loops and hairpins with embedded GNRA-like motifs. Analysis of conserved motifs and top loops (TLs) of these dumbbells, and their proposed interactions with downstream pseudoknot (PK) regions, predicted an H-type pseudoknot involving TL1 of the 5' DB and the complementary region, PK2. As disrupting the TL1/PK2 interaction, via ‘flipping’ mutations of PK2, previously attenuated DENV replication, this pseudoknot may participate in regulation of RNA synthesis. Computer modeling implied that this motif might function as autonomous structural/regulatory element. In addition, our studies targeting elements of the 3' DB and its complementary region PK1 indicated that communication between 5'–3' terminal regions strongly depends on structure and sequence composition of the 5' cyclization region.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 8
    Publication Date: 2021-03-29
    Description: Snow in the environment acts as a host to rich chemistry and provides a matrix for physical exchange of contaminants within the ecosystem. The goal of this review is to summarise the current state of knowledge of physical processes and chemical reactivity in surface snow with relevance to polar regions. It focuses on a description of impurities in distinct compartments present in surface snow, such as snow crystals, grain boundaries, crystal surfaces, and liquid parts. It emphasises the microscopic description of the ice surface and its link with the environment. Distinct differences between the disordered air–ice interface, often termed quasi-liquid layer, and a liquid phase are highlighted. The reactivity in these different compartments of surface snow is discussed using many experimental studies, simulations, and selected snow models from the molecular to the macro-scale. Although new experimental techniques have extended our knowledge of the surface properties of ice and their impact on some single reactions and processes, others occurring on, at or within snow grains remain unquantified. The presence of liquid or liquid-like compartments either due to the formation of brine or disorder at surfaces of snow crystals below the freezing point may strongly modify reaction rates. Therefore, future experiments should include a detailed characterisation of the surface properties of the ice matrices. A further point that remains largely unresolved is the distribution of impurities between the different domains of the condensed phase inside the snowpack, i.e. in the bulk solid, in liquid at the surface or trapped in confined pockets within or between grains, or at the surface. While surface-sensitive laboratory techniques may in the future help to resolve this point for equilibrium conditions, additional uncertainty for the environmental snowpack may be caused by the highly dynamic nature of the snowpack due to the fast metamorphism occurring under certain environmental conditions. Due to these gaps in knowledge the first snow chemistry models have attempted to reproduce certain processes like the long-term incorporation of volatile compounds in snow and firn or the release of reactive species from the snowpack. Although so far none of the models offers a coupled approach of physical and chemical processes or a detailed representation of the different compartments, they have successfully been used to reproduce some field experiments. A fully coupled snow chemistry and physics model remains to be developed.
    Keywords: air, ice, liquids, quasi-liquids, solids; snow ; 551
    Language: English
    Type: article , publishedVersion
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  • 9
    ISSN: 0005-2736
    Keywords: (Pig kidney) ; (Z. mays) ; Monoclonal antibody ; Protein homology ; Proton/d-glucose cotransporter ; Sodium ion/d-glucose cotransporter ; estern blot analysis
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Biology , Chemistry and Pharmacology , Medicine , Physics
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Nuclear Physics, Section A 222 (1974), S. 429-444 
    ISSN: 0375-9474
    Keywords: Nuclear reactions
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
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