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  • 1
    Publication Date: 2011-07-23
    Description: Type II topoisomerases (TOP2s) resolve the topological problems of DNA by transiently cleaving both strands of a DNA duplex to form a cleavage complex through which another DNA segment can be transported. Several widely prescribed anticancer drugs increase the population of TOP2 cleavage complex, which leads to TOP2-mediated chromosome DNA breakage and death of cancer cells. We present the crystal structure of a large fragment of human TOP2beta complexed to DNA and to the anticancer drug etoposide to reveal structural details of drug-induced stabilization of a cleavage complex. The interplay between the protein, the DNA, and the drug explains the structure-activity relations of etoposide derivatives and the molecular basis of drug-resistant mutations. The analysis of protein-drug interactions provides information applicable for developing an isoform-specific TOP2-targeting strategy.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wu, Chyuan-Chuan -- Li, Tsai-Kun -- Farh, Lynn -- Lin, Li-Ying -- Lin, Te-Sheng -- Yu, Yu-Jen -- Yen, Tien-Jui -- Chiang, Chia-Wang -- Chan, Nei-Li -- New York, N.Y. -- Science. 2011 Jul 22;333(6041):459-62. doi: 10.1126/science.1204117.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei City 100, Taiwan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21778401" target="_blank"〉PubMed〈/a〉
    Keywords: Base Pairing ; Catalytic Domain ; Crystallography, X-Ray ; DNA/*chemistry/metabolism ; DNA Topoisomerases, Type II/*chemistry/genetics/metabolism ; DNA-Binding Proteins/*chemistry/genetics/metabolism ; Drug Resistance, Neoplasm ; Etoposide/analogs & derivatives/*chemistry/metabolism/*pharmacology ; Humans ; Models, Molecular ; Mutant Proteins/chemistry/metabolism ; Mutation ; Protein Multimerization ; Protein Structure, Quaternary ; Protein Structure, Tertiary ; Structure-Activity Relationship ; Topoisomerase II Inhibitors/*chemistry/metabolism/*pharmacology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2014-01-28
    Description: Ancient genomic sequences have started to reveal the origin and the demographic impact of farmers from the Neolithic period spreading into Europe. The adoption of farming, stock breeding and sedentary societies during the Neolithic may have resulted in adaptive changes in genes associated with immunity and diet. However, the limited data available from earlier hunter-gatherers preclude an understanding of the selective processes associated with this crucial transition to agriculture in recent human evolution. Here we sequence an approximately 7,000-year-old Mesolithic skeleton discovered at the La Brana-Arintero site in Leon, Spain, to retrieve a complete pre-agricultural European human genome. Analysis of this genome in the context of other ancient samples suggests the existence of a common ancient genomic signature across western and central Eurasia from the Upper Paleolithic to the Mesolithic. The La Brana individual carries ancestral alleles in several skin pigmentation genes, suggesting that the light skin of modern Europeans was not yet ubiquitous in Mesolithic times. Moreover, we provide evidence that a significant number of derived, putatively adaptive variants associated with pathogen resistance in modern Europeans were already present in this hunter-gatherer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269527/" 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/PMC4269527/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Olalde, Inigo -- Allentoft, Morten E -- Sanchez-Quinto, Federico -- Santpere, Gabriel -- Chiang, Charleston W K -- DeGiorgio, Michael -- Prado-Martinez, Javier -- Rodriguez, Juan Antonio -- Rasmussen, Simon -- Quilez, Javier -- Ramirez, Oscar -- Marigorta, Urko M -- Fernandez-Callejo, Marcos -- Prada, Maria Encina -- Encinas, Julio Manuel Vidal -- Nielsen, Rasmus -- Netea, Mihai G -- Novembre, John -- Sturm, Richard A -- Sabeti, Pardis -- Marques-Bonet, Tomas -- Navarro, Arcadi -- Willerslev, Eske -- Lalueza-Fox, Carles -- F32 GM106656/GM/NIGMS NIH HHS/ -- F32GM106656/GM/NIGMS NIH HHS/ -- R01 HG007089/HG/NHGRI NIH HHS/ -- R01-HG007089/HG/NHGRI NIH HHS/ -- England -- Nature. 2014 Mar 13;507(7491):225-8. doi: 10.1038/nature12960. Epub 2014 Jan 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain [2]. ; 1] Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, DK-1350 Copenhagen K, Denmark [2]. ; Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain. ; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA. ; 1] Department of Integrative Biology, University of California, Berkeley, California 94720, USA [2] Department of Biology, Pennsylvania State University, 502 Wartik Laboratory, University Park, Pennsylvania 16802, USA. ; Center for Biological Sequence Analysis, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark. ; I.E.S.O. 'Los Salados', Junta de Castilla y Leon, E-49600 Benavente, Spain. ; Junta de Castilla y Leon, Servicio de Cultura de Leon, E-24071 Leon, Spain. ; Center for Theoretical Evolutionary Genomics, University of California, Berkeley, California 94720, USA. ; Department of Medicine and Nijmegen Institute for Infection, Inflammation and Immunity, Radboud University Nijmegen Medical Centre, 6500 Nijmegen, The Netherlands. ; Department of Human Genetics, University of Chicago, Illinois 60637, USA. ; Institute for Molecular Bioscience, Melanogenix Group, The University of Queensland, Brisbane, Queensland 4072, Australia. ; 1] Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA [2] Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA. ; 1] Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain [2] Institucio Catalana de Recerca i Estudis Avancats (ICREA), 08010 Barcelona, Catalonia, Spain. ; 1] Institut de Biologia Evolutiva, CSIC-UPF, Barcelona 08003, Spain [2] Institucio Catalana de Recerca i Estudis Avancats (ICREA), 08010 Barcelona, Catalonia, Spain [3] Centre de Regulacio Genomica (CRG), Barcelona 08003, Catalonia, Spain [4] National Institute for Bioinformatics (INB), Barcelona 08003, Catalonia, Spain. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, DK-1350 Copenhagen K, Denmark.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24463515" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture/history ; *Alleles ; Biological Evolution ; Caves ; European Continental Ancestry Group/*genetics ; Eye Color/genetics ; *Fossils ; Genome, Human/genetics ; Genomics ; History, Ancient ; Humans ; Immunity/*genetics ; Lactose Intolerance/genetics ; Male ; Pigmentation/*genetics ; Polymorphism, Single Nucleotide/genetics ; Principal Component Analysis ; Skeleton ; Skin Pigmentation/genetics ; Spain/ethnology
    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: 2014-12-16
    Description: Ancestry analysis from genetic data plays a critical role in studies of human disease and evolution. Recent work has introduced explicit models for the geographic distribution of genetic variation and has shown that such explicit models yield superior accuracy in ancestry inference over nonmodel-based methods. Here we extend such work to introduce a method that models admixture between ancestors from multiple sources across a geographic continuum. We devise efficient algorithms based on hidden Markov models to localize on a map the recent ancestors ( e.g. , grandparents) of admixed individuals, joint with assigning ancestry at each locus in the genome. We validate our methods by using empirical data from individuals with mixed European ancestry from the Population Reference Sample study and show that our approach is able to localize their recent ancestors within an average of 470 km of the reported locations of their grandparents. Furthermore, simulations from real Population Reference Sample genotype data show that our method attains high accuracy in localizing recent ancestors of admixed individuals in Europe (an average of 550 km from their true location for localization of two ancestries in Europe, four generations ago). We explore the limits of ancestry localization under our approach and find that performance decreases as the number of distinct ancestries and generations since admixture increases. Finally, we build a map of expected localization accuracy across admixed individuals according to the location of origin within Europe of their ancestors.
    Electronic ISSN: 2160-1836
    Topics: Biology
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  • 4
    Publication Date: 2011-04-01
    Print ISSN: 0021-8979
    Electronic ISSN: 1089-7550
    Topics: Physics
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  • 5
    Publication Date: 2015-06-23
    Description: Mutations in the gene for the latent transforming growth factor beta binding protein 4 ( LTBP4 ) cause autosomal recessive cutis laxa type 1C. To understand the molecular disease mechanisms of this disease, we investigated the impact of LTBP4 loss on transforming growth factor beta (TGFβ) signaling. Despite elevated extracellular TGFβ activity, downstream signaling molecules of the TGFβ pathway, including pSMAD2 and pERK, were down-regulated in LTBP4 mutant human dermal fibroblasts. In addition, TGFβ receptors 1 and 2 (TGFBR1 and TGFBR2) were reduced at the protein but not at the ribonucleic acid level. Treatment with exogenous TGFβ1 led to an initially rapid increase in SMAD2 phosphorylation followed by a sustained depression of phosphorylation and receptor abundance. In mutant cells TGFBR1 was co-localized with lysosomes. Treatment with a TGFBR1 kinase inhibitor, endocytosis inhibitors or a lysosome inhibitor, normalized the levels of TGFBR1 and TGFBR2. Co-immunoprecipitation demonstrated a molecular interaction between LTBP4 and TGFBR2. Knockdown of LTBP4 reduced TGFβ receptor abundance and signaling in normal cells and supplementation of recombinant LTBP4 enhanced these measures in mutant cells. In a mouse model of Ltbp4 deficiency, reduced TGFβ signaling and receptor levels were normalized upon TGFBR1 kinase inhibitor treatment. Our results show that LTBP4 interacts with TGFBR2 and stabilizes TGFβ receptors by preventing their endocytosis and lysosomal degradation in a ligand-dependent and receptor kinase activity-dependent manner. These findings identify LTBP4 as a key molecule required for the stability of the TGFβ receptor complex, and a new mechanism by which the extracellular matrix regulates cytokine receptor signaling.
    Print ISSN: 0964-6906
    Electronic ISSN: 1460-2083
    Topics: Biology , Medicine
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  • 6
    Publication Date: 2016-02-03
    Description: We report a systematic study on the structural and electronic properties of Bi 2 Te 3−x Se x topological insulator alloy grown by molecular beam epitaxy (MBE). A mixing ratio of Bi 2 Se 3 to Bi 2 Te 3 was controlled by varying the Bi:Te:Se flux ratio. X-ray diffraction and Raman spectroscopy measurements indicate the high crystalline quality for the as-grown Bi 2 Te 3−x Se x films. Substitution of Te by Se is also revealed from both analyses. The surfaces of the films exhibit terrace-like quintuple layers and their size of the characteristic triangular terraces decreases monotonically with increasing Se content. However, the triangular terrace structure gradually recovers as the Se content further increases. Most importantly, the angle-resolved photoemission spectroscopy results provide evidence of single-Dirac-cone like surface states in which Bi 2 Te 3−x Se x with Se/Te-substitution leads to tunable surface states. Our results demonstrate that by fine-tuned MBE growth conditions, Bi 2 Te 3−x Se x thin film alloys with tunable topological surface states can be obtained, providing an excellent platform for exploring the novel device applications based on this compound.
    Print ISSN: 0021-8979
    Electronic ISSN: 1089-7550
    Topics: Physics
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  • 7
    Publication Date: 2016-05-04
    Description: Identity-by-descent (IBD) is a fundamental concept in genetics with many applications. In a common definition, two haplotypes are said to share an IBD segment if that segment is inherited from a recent shared common ancestor without intervening recombination. Segments several cM long can be efficiently detected by a number of algorithms using high-density SNP array data from a population sample, and there are currently efforts to detect shorter segments from sequencing. Here, we study a problem of identifiability: because existing approaches detect IBD based on contiguous segments of identity-by-state, inferred long segments of IBD may arise from the conflation of smaller, nearby IBD segments. We quantified this effect using coalescent simulations, finding that significant proportions of inferred segments 1–2 cM long are results of conflations of two or more shorter segments, each at least 0.2 cM or longer, under demographic scenarios typical for modern humans for all programs tested. The impact of such conflation is much smaller for longer (〉 2 cM) segments. This biases the inferred IBD segment length distribution, and so can affect downstream inferences that depend on the assumption that each segment of IBD derives from a single common ancestor. As an example, we present and analyze an estimator of the de novo mutation rate using IBD segments, and demonstrate that unmodeled conflation leads to underestimates of the ages of the common ancestors on these segments, and hence a significant overestimate of the mutation rate. Understanding the conflation effect in detail will make its correction in future methods more tractable.
    Electronic ISSN: 2160-1836
    Topics: Biology
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  • 8
    Publication Date: 2012-11-04
    Description: To elucidate how microRNA (miRNA)-regulated networks contribute to the uncontrolled growth of hepatoma cells (HCCs), we identified several proliferation-related miRNAs by comparing miRNA expression patterns in clinical HCC samples and growth-arrested HepG2 cells. To explore the molecular functions targeted by these miRNAs, we classified genes differentially expressed in clinical HCC samples into six functional clusters based on their functional similarity. Using target enrichment analysis, we discovered that targets of three proliferation-related miRNAs—miR-101, miR-199a-3p and miR-139-5p—were significantly enriched in the ‘transcription regulation’ functional cluster. An interactome network consisting of these three miRNAs and genes in the ‘transcriptional control’ cluster revealed that all three miRNAs were highly connected hubs in the network. All three miRNA-centered subnetworks displayed characteristics of a two-layer regulatory architecture, with transcription factors and epigenetic modulators as the first neighbors and genes involved in cell-cycle progression as second neighbors. The overexpression of miR-101 in HepG2 cells reduced the expression of transcription regulators and genes in cell-cycle progression and suppressed the proliferation and colony formation of HepG2 cells. This study not only provides direct experimental data to support the ‘miRNA-centered two-layer regulatory network’ model, but our results also suggest that such a combinatorial network model may be widely used by miRNAs to regulate critical biological processes.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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