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  • Articles  (19)
  • Nature Publishing Group (NPG)  (19)
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  • Articles  (19)
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  • 1
    Publication Date: 2009-12-17
    Description: Using next-generation sequencing technology alone, we have successfully generated and assembled a draft sequence of the giant panda genome. The assembled contigs (2.25 gigabases (Gb)) cover approximately 94% of the whole genome, and the remaining gaps (0.05 Gb) seem to contain carnivore-specific repeats and tandem repeats. Comparisons with the dog and human showed that the panda genome has a lower divergence rate. The assessment of panda genes potentially underlying some of its unique traits indicated that its bamboo diet might be more dependent on its gut microbiome than its own genetic composition. We also identified more than 2.7 million heterozygous single nucleotide polymorphisms in the diploid genome. Our data and analyses provide a foundation for promoting mammalian genetic research, and demonstrate the feasibility for using next-generation sequencing technologies for accurate, cost-effective and rapid de novo assembly of large eukaryotic genomes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951497/" 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/PMC3951497/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Li, Ruiqiang -- Fan, Wei -- Tian, Geng -- Zhu, Hongmei -- He, Lin -- Cai, Jing -- Huang, Quanfei -- Cai, Qingle -- Li, Bo -- Bai, Yinqi -- Zhang, Zhihe -- Zhang, Yaping -- Wang, Wen -- Li, Jun -- Wei, Fuwen -- Li, Heng -- Jian, Min -- Li, Jianwen -- Zhang, Zhaolei -- Nielsen, Rasmus -- Li, Dawei -- Gu, Wanjun -- Yang, Zhentao -- Xuan, Zhaoling -- Ryder, Oliver A -- Leung, Frederick Chi-Ching -- Zhou, Yan -- Cao, Jianjun -- Sun, Xiao -- Fu, Yonggui -- Fang, Xiaodong -- Guo, Xiaosen -- Wang, Bo -- Hou, Rong -- Shen, Fujun -- Mu, Bo -- Ni, Peixiang -- Lin, Runmao -- Qian, Wubin -- Wang, Guodong -- Yu, Chang -- Nie, Wenhui -- Wang, Jinhuan -- Wu, Zhigang -- Liang, Huiqing -- Min, Jiumeng -- Wu, Qi -- Cheng, Shifeng -- Ruan, Jue -- Wang, Mingwei -- Shi, Zhongbin -- Wen, Ming -- Liu, Binghang -- Ren, Xiaoli -- Zheng, Huisong -- Dong, Dong -- Cook, Kathleen -- Shan, Gao -- Zhang, Hao -- Kosiol, Carolin -- Xie, Xueying -- Lu, Zuhong -- Zheng, Hancheng -- Li, Yingrui -- Steiner, Cynthia C -- Lam, Tommy Tsan-Yuk -- Lin, Siyuan -- Zhang, Qinghui -- Li, Guoqing -- Tian, Jing -- Gong, Timing -- Liu, Hongde -- Zhang, Dejin -- Fang, Lin -- Ye, Chen -- Zhang, Juanbin -- Hu, Wenbo -- Xu, Anlong -- Ren, Yuanyuan -- Zhang, Guojie -- Bruford, Michael W -- Li, Qibin -- Ma, Lijia -- Guo, Yiran -- An, Na -- Hu, Yujie -- Zheng, Yang -- Shi, Yongyong -- Li, Zhiqiang -- Liu, Qing -- Chen, Yanling -- Zhao, Jing -- Qu, Ning -- Zhao, Shancen -- Tian, Feng -- Wang, Xiaoling -- Wang, Haiyin -- Xu, Lizhi -- Liu, Xiao -- Vinar, Tomas -- Wang, Yajun -- Lam, Tak-Wah -- Yiu, Siu-Ming -- Liu, Shiping -- Zhang, Hemin -- Li, Desheng -- Huang, Yan -- Wang, Xia -- Yang, Guohua -- Jiang, Zhi -- Wang, Junyi -- Qin, Nan -- Li, Li -- Li, Jingxiang -- Bolund, Lars -- Kristiansen, Karsten -- Wong, Gane Ka-Shu -- Olson, Maynard -- Zhang, Xiuqing -- Li, Songgang -- Yang, Huanming -- Wang, Jian -- Wang, Jun -- R01 HG003229/HG/NHGRI NIH HHS/ -- R01 HG003229-05/HG/NHGRI NIH HHS/ -- England -- Nature. 2010 Jan 21;463(7279):311-7. doi: 10.1038/nature08696. Epub 2009 Dec 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉BGI-Shenzhen, Shenzhen 518083, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20010809" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Animals ; China ; Conserved Sequence/genetics ; Contig Mapping ; Diet/veterinary ; Dogs ; Evolution, Molecular ; Female ; Fertility/genetics/physiology ; Genome/*genetics ; *Genomics ; Heterozygote ; Humans ; Multigene Family/genetics ; Polymorphism, Single Nucleotide/genetics ; Receptors, G-Protein-Coupled/genetics ; Sequence Alignment ; Sequence Analysis, DNA ; Synteny/genetics ; Ursidae/classification/*genetics/physiology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2010-10-22
    Description: Aneuploidy, referring here to genome contents characterized by abnormal numbers of chromosomes, has been associated with developmental defects, cancer and adaptive evolution in experimental organisms. However, it remains unresolved how aneuploidy impacts gene expression and whether aneuploidy could directly bring about phenotypic variation and improved fitness over that of euploid counterparts. Here we show, using quantitative mass spectrometry-based proteomics and phenotypic profiling, that levels of protein expression in aneuploid yeast strains largely scale with chromosome copy numbers, following the same trend as that observed for the transcriptome, and that aneuploidy confers diverse phenotypes. We designed a novel scheme to generate, through random meiotic segregation, 38 stable and fully isogenic aneuploid yeast strains with distinct karyotypes and genome contents between 1N and 3N without involving any genetic selection. Through quantitative growth assays under various conditions or in the presence of a panel of chemotherapeutic or antifungal drugs, we found that some aneuploid strains grew significantly better than euploid control strains under conditions suboptimal for the latter. These results provide strong evidence that aneuploidy directly affects gene expression at both the transcriptome and proteome levels and can generate significant phenotypic variation that could bring about fitness gains under diverse conditions. Our findings suggest that the fitness ranking between euploid and aneuploid cells is dependent on context and karyotype, providing the basis for the notion that aneuploidy can directly underlie phenotypic evolution and cellular adaptation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2978756/" 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/PMC2978756/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pavelka, Norman -- Rancati, Giulia -- Zhu, Jin -- Bradford, William D -- Saraf, Anita -- Florens, Laurence -- Sanderson, Brian W -- Hattem, Gaye L -- Li, Rong -- R01 GM059964/GM/NIGMS NIH HHS/ -- R01 GM059964-12/GM/NIGMS NIH HHS/ -- R01GM059964/GM/NIGMS NIH HHS/ -- England -- Nature. 2010 Nov 11;468(7321):321-5. doi: 10.1038/nature09529. Epub 2010 Oct 20.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, Missouri 64110, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20962780" target="_blank"〉PubMed〈/a〉
    Keywords: *Aneuploidy ; Antifungal Agents/pharmacology ; Cell Division/drug effects ; Chromosomes, Fungal/drug effects/genetics ; Gene Expression Profiling ; Gene Expression Regulation, Fungal/drug effects ; Genetic Fitness/drug effects/genetics ; Karyotyping ; Meiosis/drug effects/genetics ; *Phenotype ; Polyploidy ; Proteome/drug effects/*genetics ; Proteomics ; Saccharomyces cerevisiae/cytology/drug effects/*genetics/*metabolism ; Stress, Physiological ; Transcription, Genetic/drug effects/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: 2008-11-07
    Description: Here we present the first diploid genome sequence of an Asian individual. The genome was sequenced to 36-fold average coverage using massively parallel sequencing technology. We aligned the short reads onto the NCBI human reference genome to 99.97% coverage, and guided by the reference genome, we used uniquely mapped reads to assemble a high-quality consensus sequence for 92% of the Asian individual's genome. We identified approximately 3 million single-nucleotide polymorphisms (SNPs) inside this region, of which 13.6% were not in the dbSNP database. Genotyping analysis showed that SNP identification had high accuracy and consistency, indicating the high sequence quality of this assembly. We also carried out heterozygote phasing and haplotype prediction against HapMap CHB and JPT haplotypes (Chinese and Japanese, respectively), sequence comparison with the two available individual genomes (J. D. Watson and J. C. Venter), and structural variation identification. These variations were considered for their potential biological impact. Our sequence data and analyses demonstrate the potential usefulness of next-generation sequencing technologies for personal genomics.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2716080/" 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/PMC2716080/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Jun -- Wang, Wei -- Li, Ruiqiang -- Li, Yingrui -- Tian, Geng -- Goodman, Laurie -- Fan, Wei -- Zhang, Junqing -- Li, Jun -- Zhang, Juanbin -- Guo, Yiran -- Feng, Binxiao -- Li, Heng -- Lu, Yao -- Fang, Xiaodong -- Liang, Huiqing -- Du, Zhenglin -- Li, Dong -- Zhao, Yiqing -- Hu, Yujie -- Yang, Zhenzhen -- Zheng, Hancheng -- Hellmann, Ines -- Inouye, Michael -- Pool, John -- Yi, Xin -- Zhao, Jing -- Duan, Jinjie -- Zhou, Yan -- Qin, Junjie -- Ma, Lijia -- Li, Guoqing -- Yang, Zhentao -- Zhang, Guojie -- Yang, Bin -- Yu, Chang -- Liang, Fang -- Li, Wenjie -- Li, Shaochuan -- Li, Dawei -- Ni, Peixiang -- Ruan, Jue -- Li, Qibin -- Zhu, Hongmei -- Liu, Dongyuan -- Lu, Zhike -- Li, Ning -- Guo, Guangwu -- Zhang, Jianguo -- Ye, Jia -- Fang, Lin -- Hao, Qin -- Chen, Quan -- Liang, Yu -- Su, Yeyang -- San, A -- Ping, Cuo -- Yang, Shuang -- Chen, Fang -- Li, Li -- Zhou, Ke -- Zheng, Hongkun -- Ren, Yuanyuan -- Yang, Ling -- Gao, Yang -- Yang, Guohua -- Li, Zhuo -- Feng, Xiaoli -- Kristiansen, Karsten -- Wong, Gane Ka-Shu -- Nielsen, Rasmus -- Durbin, Richard -- Bolund, Lars -- Zhang, Xiuqing -- Li, Songgang -- Yang, Huanming -- Wang, Jian -- 077192/Wellcome Trust/United Kingdom -- R01 HG003229/HG/NHGRI NIH HHS/ -- R01 HG003229-04/HG/NHGRI NIH HHS/ -- England -- Nature. 2008 Nov 6;456(7218):60-5. doi: 10.1038/nature07484.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Beijing Genomics Institute at Shenzhen, Shenzhen 518000, China. wangj@genomics.org.cn〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18987735" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Asian Continental Ancestry Group/*genetics ; Consensus Sequence ; Databases, Genetic ; *Diploidy ; Genetic Predisposition to Disease/genetics ; Genome, Human/*genetics ; *Genomics ; Haplotypes/genetics ; Humans ; Internet ; Pan troglodytes/genetics ; Phenotype ; Polymorphism, Single Nucleotide/genetics ; Sensitivity and Specificity ; Sequence Alignment
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  • 4
    Publication Date: 2015-09-22
    Description: Piezo proteins are evolutionarily conserved and functionally diverse mechanosensitive cation channels. However, the overall structural architecture and gating mechanisms of Piezo channels have remained unknown. Here we determine the cryo-electron microscopy structure of the full-length (2,547 amino acids) mouse Piezo1 (Piezo1) at a resolution of 4.8 A. Piezo1 forms a trimeric propeller-like structure (about 900 kilodalton), with the extracellular domains resembling three distal blades and a central cap. The transmembrane region has 14 apparently resolved segments per subunit. These segments form three peripheral wings and a central pore module that encloses a potential ion-conducting pore. The rather flexible extracellular blade domains are connected to the central intracellular domain by three long beam-like structures. This trimeric architecture suggests that Piezo1 may use its peripheral regions as force sensors to gate the central ion-conducting pore.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ge, Jingpeng -- Li, Wanqiu -- Zhao, Qiancheng -- Li, Ningning -- Chen, Maofei -- Zhi, Peng -- Li, Ruochong -- Gao, Ning -- Xiao, Bailong -- Yang, Maojun -- England -- Nature. 2015 Nov 5;527(7576):64-9. doi: 10.1038/nature15247. Epub 2015 Sep 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences or Medicine, Tsinghua University, Beijing 100084, China. ; Ministry of Education, Key Laboratory of Protein Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China. ; Department of Pharmacology and Pharmaceutical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China. ; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26390154" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Membrane/metabolism ; *Cryoelectron Microscopy ; Electric Conductivity ; Ion Channel Gating ; Ion Channels/*chemistry/metabolism/*ultrastructure ; Mice ; Models, Molecular ; Pliability ; Protein Multimerization ; Protein Structure, Quaternary ; Protein Structure, Tertiary ; Protein Subunits/chemistry/metabolism
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2015-09-15
    Description: The extent to which low-frequency (minor allele frequency (MAF) between 1-5%) and rare (MAF 〈/= 1%) variants contribute to complex traits and disease in the general population is mainly unknown. Bone mineral density (BMD) is highly heritable, a major predictor of osteoporotic fractures, and has been previously associated with common genetic variants, as well as rare, population-specific, coding variants. Here we identify novel non-coding genetic variants with large effects on BMD (ntotal = 53,236) and fracture (ntotal = 508,253) in individuals of European ancestry from the general population. Associations for BMD were derived from whole-genome sequencing (n = 2,882 from UK10K (ref. 10); a population-based genome sequencing consortium), whole-exome sequencing (n = 3,549), deep imputation of genotyped samples using a combined UK10K/1000 Genomes reference panel (n = 26,534), and de novo replication genotyping (n = 20,271). We identified a low-frequency non-coding variant near a novel locus, EN1, with an effect size fourfold larger than the mean of previously reported common variants for lumbar spine BMD (rs11692564(T), MAF = 1.6%, replication effect size = +0.20 s.d., Pmeta = 2 x 10(-14)), which was also associated with a decreased risk of fracture (odds ratio = 0.85; P = 2 x 10(-11); ncases = 98,742 and ncontrols = 409,511). Using an En1(cre/flox) mouse model, we observed that conditional loss of En1 results in low bone mass, probably as a consequence of high bone turnover. We also identified a novel low-frequency non-coding variant with large effects on BMD near WNT16 (rs148771817(T), MAF = 1.2%, replication effect size = +0.41 s.d., Pmeta = 1 x 10(-11)). In general, there was an excess of association signals arising from deleterious coding and conserved non-coding variants. These findings provide evidence that low-frequency non-coding variants have large effects on BMD and fracture, thereby providing rationale for whole-genome sequencing and improved imputation reference panels to study the genetic architecture of complex traits and disease in the general population.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755714/" 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/PMC4755714/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zheng, Hou-Feng -- Forgetta, Vincenzo -- Hsu, Yi-Hsiang -- Estrada, Karol -- Rosello-Diez, Alberto -- Leo, Paul J -- Dahia, Chitra L -- Park-Min, Kyung Hyun -- Tobias, Jonathan H -- Kooperberg, Charles -- Kleinman, Aaron -- Styrkarsdottir, Unnur -- Liu, Ching-Ti -- Uggla, Charlotta -- Evans, Daniel S -- Nielson, Carrie M -- Walter, Klaudia -- Pettersson-Kymmer, Ulrika -- McCarthy, Shane -- Eriksson, Joel -- Kwan, Tony -- Jhamai, Mila -- Trajanoska, Katerina -- Memari, Yasin -- Min, Josine -- Huang, Jie -- Danecek, Petr -- Wilmot, Beth -- Li, Rui -- Chou, Wen-Chi -- Mokry, Lauren E -- Moayyeri, Alireza -- Claussnitzer, Melina -- Cheng, Chia-Ho -- Cheung, Warren -- Medina-Gomez, Carolina -- Ge, Bing -- Chen, Shu-Huang -- Choi, Kwangbom -- Oei, Ling -- Fraser, James -- Kraaij, Robert -- Hibbs, Matthew A -- Gregson, Celia L -- Paquette, Denis -- Hofman, Albert -- Wibom, Carl -- Tranah, Gregory J -- Marshall, Mhairi -- Gardiner, Brooke B -- Cremin, Katie -- Auer, Paul -- Hsu, Li -- Ring, Sue -- Tung, Joyce Y -- Thorleifsson, Gudmar -- Enneman, Anke W -- van Schoor, Natasja M -- de Groot, Lisette C P G M -- van der Velde, Nathalie -- Melin, Beatrice -- Kemp, John P -- Christiansen, Claus -- Sayers, Adrian -- Zhou, Yanhua -- Calderari, Sophie -- van Rooij, Jeroen -- Carlson, Chris -- Peters, Ulrike -- Berlivet, Soizik -- Dostie, Josee -- Uitterlinden, Andre G -- Williams, Stephen R -- Farber, Charles -- Grinberg, Daniel -- LaCroix, Andrea Z -- Haessler, Jeff -- Chasman, Daniel I -- Giulianini, Franco -- Rose, Lynda M -- Ridker, Paul M -- Eisman, John A -- Nguyen, Tuan V -- Center, Jacqueline R -- Nogues, Xavier -- Garcia-Giralt, Natalia -- Launer, Lenore L -- Gudnason, Vilmunder -- Mellstrom, Dan -- Vandenput, Liesbeth -- Amin, Najaf -- van Duijn, Cornelia M -- Karlsson, Magnus K -- Ljunggren, Osten -- Svensson, Olle -- Hallmans, Goran -- Rousseau, Francois -- Giroux, Sylvie -- Bussiere, Johanne -- Arp, Pascal P -- Koromani, Fjorda -- Prince, Richard L -- Lewis, Joshua R -- Langdahl, Bente L -- Hermann, A Pernille -- Jensen, Jens-Erik B -- Kaptoge, Stephen -- Khaw, Kay-Tee -- Reeve, Jonathan -- Formosa, Melissa M -- Xuereb-Anastasi, Angela -- Akesson, Kristina -- McGuigan, Fiona E -- Garg, Gaurav -- Olmos, Jose M -- Zarrabeitia, Maria T -- Riancho, Jose A -- Ralston, Stuart H -- Alonso, Nerea -- Jiang, Xi -- Goltzman, David -- Pastinen, Tomi -- Grundberg, Elin -- Gauguier, Dominique -- Orwoll, Eric S -- Karasik, David -- Davey-Smith, George -- AOGC Consortium -- Smith, Albert V -- Siggeirsdottir, Kristin -- Harris, Tamara B -- Zillikens, M Carola -- van Meurs, Joyce B J -- Thorsteinsdottir, Unnur -- Maurano, Matthew T -- Timpson, Nicholas J -- Soranzo, Nicole -- Durbin, Richard -- Wilson, Scott G -- Ntzani, Evangelia E -- Brown, Matthew A -- Stefansson, Kari -- Hinds, David A -- Spector, Tim -- Cupples, L Adrienne -- Ohlsson, Claes -- Greenwood, Celia M T -- UK10K Consortium -- Jackson, Rebecca D -- Rowe, David W -- Loomis, Cynthia A -- Evans, David M -- Ackert-Bicknell, Cheryl L -- Joyner, Alexandra L -- Duncan, Emma L -- Kiel, Douglas P -- Rivadeneira, Fernando -- Richards, J Brent -- G1000143/Medical Research Council/United Kingdom -- K01 AR062655/AR/NIAMS NIH HHS/ -- MC_UU_12013/3/Medical Research Council/United Kingdom -- R01 AG005394/AG/NIA NIH HHS/ -- R01 AG005407/AG/NIA NIH HHS/ -- R01 AG027574/AG/NIA NIH HHS/ -- R01 AG027576/AG/NIA NIH HHS/ -- R01 AR035582/AR/NIAMS NIH HHS/ -- R01 AR035583/AR/NIAMS NIH HHS/ -- RC2 AR058973/AR/NIAMS NIH HHS/ -- U01 AG018197/AG/NIA NIH HHS/ -- U01 AG042140/AG/NIA NIH HHS/ -- U01 AG042143/AG/NIA NIH HHS/ -- U01 AR045580/AR/NIAMS NIH HHS/ -- U01 AR045583/AR/NIAMS NIH HHS/ -- U01 AR045614/AR/NIAMS NIH HHS/ -- U01 AR045632/AR/NIAMS NIH HHS/ -- U01 AR045647/AR/NIAMS NIH HHS/ -- U01 AR045654/AR/NIAMS NIH HHS/ -- U01 AR066160/AR/NIAMS NIH HHS/ -- England -- Nature. 2015 Oct 1;526(7571):112-7. doi: 10.1038/nature14878. Epub 2015 Sep 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Departments of Medicine, Human Genetics, Epidemiology and Biostatistics, McGill University, Montreal H3A 1A2, Canada. ; Department of Medicine, Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montreal H3T 1E2, Canada. ; Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts 02131, USA. ; Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Broad Institute of MIT and Harvard, Boston, Massachusetts 02115, USA. ; Department of Internal Medicine, Erasmus Medical Center, Rotterdam 3015GE, The Netherlands. ; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; Developmental Biology Program, Sloan Kettering Institute, New York, New York 10065, USA. ; The University of Queensland Diamantina Institute, Translational Research Institute, Princess Alexandra Hospital, Brisbane 4102, Australia. ; Department of Cell and Developmental Biology, Weill Cornell Medical College, New York, New York 10065, USA. ; Tissue Engineering, Regeneration and Repair Program, Hospital for Special Surgery, New York 10021, USA. ; Rheumatology Divison, Hospital for Special Surgery New York, New York 10021, USA. ; School of Clinical Science, University of Bristol, Bristol BS10 5NB, UK. ; MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK. ; Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; Department of Research, 23andMe, Mountain View, California 94041, USA. ; Department of Population Genomics, deCODE Genetics, Reykjavik IS-101, Iceland. ; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA. ; Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg S-413 45, Sweden. ; California Pacific Medical Center Research Institute, San Francisco, California 94158, USA. ; Department of Public Health and Preventive Medicine, Oregon Health &Science University, Portland, Oregon 97239, USA. ; Bone &Mineral Unit, Oregon Health &Science University, Portland, Oregon 97239, USA. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SA, UK. ; Departments of Pharmacology and Clinical Neurosciences, Umea University, Umea S-901 87, Sweden. ; Department of Public Health and Clinical Medicine, Umea University, Umea SE-901 87, Sweden. ; Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg S-413 45, Sweden. ; McGill University and Genome Quebec Innovation Centre, Montreal H3A 0G1, Canada. ; Department of Epidemiology, Erasmus Medical Center, Rotterdam 3015GE, The Netherlands. ; Oregon Clinical and Translational Research Institute, Oregon Health &Science University, Portland, Oregon 97239, USA. ; Department of Medical and Clinical Informatics, Oregon Health &Science University, Portland, Oregon 97239, USA. ; Farr Institute of Health Informatics Research, University College London, London NW1 2DA, UK. ; Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK. ; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts 02115, USA. ; Department of Human Genetics, McGill University, Montreal H3A 1B1, Canada. ; Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden 2300RC, The Netherlands. ; Center for Musculoskeletal Research, University of Rochester, Rochester, New York 14642, USA. ; Department of Biochemistry and Goodman Cancer Research Center, McGill University, Montreal H3G 1Y6, Canada. ; Department of Computer Science, Trinity University, San Antonio, Texas 78212, USA. ; Musculoskeletal Research Unit, University of Bristol, Bristol BS10 5NB, UK. ; Department of Radiation Sciences, Umea University, Umea S-901 87, Sweden. ; School of Public Health, University of Wisconsin, Milwaukee, Wisconsin 53726, USA. ; School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK. ; Department of Statistics, deCODE Genetics, Reykjavik IS-101, Iceland. ; Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam 1007 MB, The Netherlands. ; Department of Human Nutrition, Wageningen University, Wageningen 6700 EV, The Netherlands. ; Department of Internal Medicine, Section Geriatrics, Academic Medical Center, Amsterdam 1105, The Netherlands. ; Nordic Bioscience, Herlev 2730, Denmark. ; Cordeliers Research Centre, INSERM UMRS 1138, Paris 75006, France. ; Institute of Cardiometabolism and Nutrition, University Pierre &Marie Curie, Paris 75013, France. ; Departments of Medicine (Cardiovascular Medicine), Centre for Public Health Genomics, University of Virginia, Charlottesville, Virginia 22908, USA. ; Department of Genetics, University of Barcelona, Barcelona 08028, Spain. ; U-720, Centre for Biomedical Network Research on Rare Diseases (CIBERER), Barcelona 28029, Spain. ; Department of Human Molecular Genetics, The Institute of Biomedicine of the University of Barcelona (IBUB), Barcelona 08028, Spain. ; Women's Health Center of Excellence Family Medicine and Public Health, University of California - San Diego, San Diego, California 92093, USA. ; Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA. ; Osteoporosis &Bone Biology Program, Garvan Institute of Medical Research, Sydney 2010, Australia. ; School of Medicine Sydney, University of Notre Dame Australia, Sydney 6959, Australia. ; St. Vincent's Hospital &Clinical School, NSW University, Sydney 2010, Australia. ; Musculoskeletal Research Group, Institut Hospital del Mar d'Investigacions Mediques, Barcelona 08003, Spain. ; Cooperative Research Network on Aging and Fragility (RETICEF), Institute of Health Carlos III, 28029, Spain. ; Department of Internal Medicine, Hospital del Mar, Universitat Autonoma de Barcelona, Barcelona 08193, Spain. ; Neuroepidemiology Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Icelandic Heart Association, Kopavogur IS-201, Iceland. ; Faculty of Medicine, University of Iceland, Reykjavik IS-101, Iceland. ; Genetic epidemiology unit, Department of Epidemiology, Erasmus MC, Rotterdam 3000CA, The Netherlands. ; Department of Orthopaedics, Skane University Hospital Malmo 205 02, Sweden. ; Department of Medical Sciences, University of Uppsala, Uppsala 751 85, Sweden. ; Department of Surgical and Perioperative Sciences, Umea Unviersity, Umea 901 85, Sweden. ; Department of Molecular Biology, Medical Biochemistry and Pathology, Universite Laval, Quebec City G1V 0A6, Canada. ; Axe Sante des Populations et Pratiques Optimales en Sante, Centre de recherche du CHU de Quebec, Quebec City G1V 4G2, Canada. ; Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands 6009, Australia. ; Department of Medicine, University of Western Australia, Perth 6009, Australia. ; Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus C 8000, Denmark. ; Department of Endocrinology, Odense University Hospital, Odense C 5000, Denmark. ; Department of Endocrinology, Hvidovre University Hospital, Hvidovre 2650, Denmark. ; Clinical Gerontology Unit, University of Cambridge, Cambridge CB2 2QQ, UK. ; Medicine and Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK. ; Institute of Musculoskeletal Sciences, The Botnar Research Centre, University of Oxford, Oxford OX3 7LD, UK. ; Department of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida MSD 2080, Malta. ; Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences Malmo, Lund University, 205 02, Sweden. ; Department of Medicine and Psychiatry, University of Cantabria, Santander 39011, Spain. ; Department of Internal Medicine, Hospital U.M. Valdecilla- IDIVAL, Santander 39008, Spain. ; Department of Legal Medicine, University of Cantabria, Santander 39011, Spain. ; Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK. ; Department of Reconstructive Sciences, College of Dental Medicine, University of Connecticut Health Center, Farmington, Connecticut 06030, USA. ; Department of Medicine and Physiology, McGill University, Montreal H4A 3J1, Canada. ; Department of Medicine, Oregon Health &Science University, Portland, Oregon 97239, USA. ; Faculty of Medicine in the Galilee, Bar-Ilan University, Safed 13010, Israel. ; Laboratory of Epidemiology, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; School of Medicine and Pharmacology, University of Western Australia, Crawley 6009, Australia. ; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina 45110, Greece. ; Department of Health Services, Policy and Practice, Brown University School of Public Health, Providence, Rhode Island 02903, USA. ; deCODE Genetics, Reykjavik IS-101, Iceland. ; Framingham Heart Study, Framingham, Massachusetts 01702, USA. ; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal H3A 1A2, Canada. ; Department of Oncology, Gerald Bronfman Centre, McGill University, Montreal H2W 1S6, Canada. ; Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, Ohio 43210, USA. ; The Ronald O. Perelman Department of Dermatology and Department of Cell Biology, New York University School of Medicine, New York, New York 10016, USA. ; Department of Diabetes and Endocrinology, Royal Brisbane and Women's Hospital, Brisbane 4029, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26367794" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bone Density/*genetics ; Bone and Bones/metabolism ; Disease Models, Animal ; Europe/ethnology ; European Continental Ancestry Group/genetics ; Exome/genetics ; Female ; Fractures, Bone/*genetics ; Gene Frequency/genetics ; Genetic Predisposition to Disease/genetics ; Genetic Variation/genetics ; Genome, Human/*genetics ; Genomics ; Genotype ; Homeodomain Proteins/*genetics ; Humans ; Mice ; Sequence Analysis, DNA ; Wnt Proteins/genetics
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  • 6
    Publication Date: 2014-10-03
    Description: The United States is now experiencing the most rapid expansion in oil and gas production in four decades, owing in large part to implementation of new extraction technologies such as horizontal drilling combined with hydraulic fracturing. The environmental impacts of this development, from its effect on water quality to the influence of increased methane leakage on climate, have been a matter of intense debate. Air quality impacts are associated with emissions of nitrogen oxides (NOx = NO + NO2) and volatile organic compounds (VOCs), whose photochemistry leads to production of ozone, a secondary pollutant with negative health effects. Recent observations in oil- and gas-producing basins in the western United States have identified ozone mixing ratios well in excess of present air quality standards, but only during winter. Understanding winter ozone production in these regions is scientifically challenging. It occurs during cold periods of snow cover when meteorological inversions concentrate air pollutants from oil and gas activities, but when solar irradiance and absolute humidity, which are both required to initiate conventional photochemistry essential for ozone production, are at a minimum. Here, using data from a remote location in the oil and gas basin of northeastern Utah and a box model, we provide a quantitative assessment of the photochemistry that leads to these extreme winter ozone pollution events, and identify key factors that control ozone production in this unique environment. We find that ozone production occurs at lower NOx and much larger VOC concentrations than does its summertime urban counterpart, leading to carbonyl (oxygenated VOCs with a C = O moiety) photolysis as a dominant oxidant source. Extreme VOC concentrations optimize the ozone production efficiency of NOx. There is considerable potential for global growth in oil and gas extraction from shale. This analysis could help inform strategies to monitor and mitigate air quality impacts and provide broader insight into the response of winter ozone to primary pollutants.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Edwards, Peter M -- Brown, Steven S -- Roberts, James M -- Ahmadov, Ravan -- Banta, Robert M -- deGouw, Joost A -- Dube, William P -- Field, Robert A -- Flynn, James H -- Gilman, Jessica B -- Graus, Martin -- Helmig, Detlev -- Koss, Abigail -- Langford, Andrew O -- Lefer, Barry L -- Lerner, Brian M -- Li, Rui -- Li, Shao-Meng -- McKeen, Stuart A -- Murphy, Shane M -- Parrish, David D -- Senff, Christoph J -- Soltis, Jeffrey -- Stutz, Jochen -- Sweeney, Colm -- Thompson, Chelsea R -- Trainer, Michael K -- Tsai, Catalina -- Veres, Patrick R -- Washenfelder, Rebecca A -- Warneke, Carsten -- Wild, Robert J -- Young, Cora J -- Yuan, Bin -- Zamora, Robert -- England -- Nature. 2014 Oct 16;514(7522):351-4. doi: 10.1038/nature13767. Epub 2014 Oct 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] NOAA Earth System Research Laboratory, Boulder, Colorado 80305, USA [2] Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado 80309, USA [3] Department of Chemistry, University of York, York YO10 5DD, UK (P.M.E.); Institute of Meteorology and Geophysics, University of Innsbruck, Innsbruck, 6020 Austria (M.G.); Department of Chemistry, Memorial University of Newfoundland, St John's, Newfoundland A1B 3X7, Canada (C.J.Y.). ; NOAA Earth System Research Laboratory, Boulder, Colorado 80305, USA. ; 1] NOAA Earth System Research Laboratory, Boulder, Colorado 80305, USA [2] Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado 80309, USA. ; Department of Atmospheric Science, University of Wyoming, Larmie, Wyoming 82070, USA. ; Department of Earth and Atmospheric Sciences, University of Houston, Houston, Texas 77204, USA. ; Institute of Arctic and Alpine Research, University of Colorado, Boulder, Colorado 80309, USA. ; Air Quality Research Division, Environment Canada, Toronto, Ontario M3H 5T4, Canada. ; Department of Oceanic and Atmospheric Sciences, University of California, Los Angeles, Los Angeles, California 90095, USA. ; 1] NOAA Earth System Research Laboratory, Boulder, Colorado 80305, USA [2] Department of Chemistry, University of York, York YO10 5DD, UK (P.M.E.); Institute of Meteorology and Geophysics, University of Innsbruck, Innsbruck, 6020 Austria (M.G.); Department of Chemistry, Memorial University of Newfoundland, St John's, Newfoundland A1B 3X7, Canada (C.J.Y.).〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25274311" target="_blank"〉PubMed〈/a〉
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  • 7
    Publication Date: 2014-06-27
    Description: Carbon nanotubes have many material properties that make them attractive for applications. In the context of nanoelectronics, interest has focused on single-walled carbon nanotubes (SWNTs) because slight changes in tube diameter and wrapping angle, defined by the chirality indices (n, m), will shift their electrical conductivity from one characteristic of a metallic state to one characteristic of a semiconducting state, and will also change the bandgap. However, this structure-function relationship can be fully exploited only with structurally pure SWNTs. Solution-based separation methods yield tubes within a narrow structure range, but the ultimate goal of producing just one type of SWNT by controlling its structure during growth has proved to be a considerable challenge over the last two decades. Such efforts aim to optimize the composition or shape of the catalyst particles that are used in the chemical vapour deposition synthesis process to decompose the carbon feedstock and influence SWNT nucleation and growth. This approach resulted in the highest reported proportion, 55 per cent, of single-chirality SWNTs in an as-grown sample. Here we show that SWNTs of a single chirality, (12, 6), can be produced directly with an abundance higher than 92 per cent when using tungsten-based bimetallic alloy nanocrystals as catalysts. These, unlike other catalysts used so far, have such high melting points that they maintain their crystalline structure during the chemical vapour deposition process. This feature seems crucial because experiment and simulation both suggest that the highly selective growth of (12, 6) SWNTs is the result of a good structural match between the carbon atom arrangement around the nanotube circumference and the arrangement of the catalytically active atoms in one of the planes of the nanocrystal catalyst. We anticipate that using high-melting-point alloy nanocrystals with optimized structures as catalysts paves the way for total chirality control in SWNT growth and will thus promote the development of SWNT applications.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yang, Feng -- Wang, Xiao -- Zhang, Daqi -- Yang, Juan -- Luo, Da -- Xu, Ziwei -- Wei, Jiake -- Wang, Jian-Qiang -- Xu, Zhi -- Peng, Fei -- Li, Xuemei -- Li, Ruoming -- Li, Yilun -- Li, Meihui -- Bai, Xuedong -- Ding, Feng -- Li, Yan -- England -- Nature. 2014 Jun 26;510(7506):522-4. doi: 10.1038/nature13434.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Beijing National Laboratory for Molecular Science, Key Laboratory for the Physics and Chemistry of Nanodevices, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China. ; Institute of Textiles and Clothing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China. ; Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China. ; Shanghai Synchrotron Radiation Facility, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201204, China. ; Electron Microscopy Laboratory, Peking University, Beijing 100871, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24965654" target="_blank"〉PubMed〈/a〉
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  • 8
    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
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  • 9
    Publication Date: 2012-01-31
    Description: Aneuploidy--the state of having uneven numbers of chromosomes--is a hallmark of cancer and a feature identified in yeast from diverse habitats. Recent studies have shown that aneuploidy is a form of large-effect mutation that is able to confer adaptive phenotypes under diverse stress conditions. Here we investigate whether pleiotropic stress could induce aneuploidy in budding yeast (Saccharomyces cerevisae). We show that whereas diverse stress conditions can induce an increase in chromosome instability, proteotoxic stress, caused by transient Hsp90 (also known as Hsp82 or Hsc82) inhibition or heat shock, markedly increased chromosome instability to produce a cell population with high karyotype diversity. The induced chromosome instability is linked to an evolutionarily conserved role for the Hsp90 chaperone complex in kinetochore assembly. Continued growth in the presence of an Hsp90 inhibitor resulted in the emergence of drug-resistant colonies with chromosome XV gain. This drug-resistance phenotype is a quantitative trait involving copy number increases of at least two genes located on chromosome XV. Short-term exposure to Hsp90 stress potentiated fast adaptation to unrelated cytotoxic compounds by means of different aneuploid chromosome stoichiometries. These findings demonstrate that aneuploidy is a form of stress-inducible mutation in eukaryotes, capable of fuelling rapid phenotypic evolution and drug resistance, and reveal a new role for Hsp90 in regulating the emergence of adaptive traits under stress.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3276732/" 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/PMC3276732/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chen, Guangbo -- Bradford, William D -- Seidel, Chris W -- Li, Rong -- R01 GM059964/GM/NIGMS NIH HHS/ -- R01 GM059964-12/GM/NIGMS NIH HHS/ -- R01GM059964/GM/NIGMS NIH HHS/ -- England -- Nature. 2012 Jan 29;482(7384):246-50. doi: 10.1038/nature10795.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, Missouri 64110, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22286062" target="_blank"〉PubMed〈/a〉
    Keywords: *Adaptation, Biological ; *Aneuploidy ; Antifungal Agents/pharmacology ; Chromosomal Instability/drug effects/genetics ; Chromosomes, Fungal/drug effects/genetics/metabolism ; Drug Resistance, Fungal ; Evolution, Molecular ; HSP90 Heat-Shock Proteins/*metabolism ; *Heat-Shock Response ; Karyotyping ; Kinetochores/drug effects/metabolism ; Phenotype ; Saccharomyces cerevisiae/*cytology/drug effects/genetics/*metabolism ; Saccharomyces cerevisiae Proteins/*metabolism ; Tunicamycin/pharmacology
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  • 10
    Publication Date: 2014-02-28
    Description: B lymphocytes have critical roles as positive and negative regulators of immunity. Their inhibitory function has been associated primarily with interleukin 10 (IL-10) because B-cell-derived IL-10 can protect against autoimmune disease and increase susceptibility to pathogens. Here we identify IL-35-producing B cells as key players in the negative regulation of immunity. Mice in which only B cells did not express IL-35 lost their ability to recover from the T-cell-mediated demyelinating autoimmune disease experimental autoimmune encephalomyelitis (EAE). In contrast, these mice displayed a markedly improved resistance to infection with the intracellular bacterial pathogen Salmonella enterica serovar Typhimurium as shown by their superior containment of the bacterial growth and their prolonged survival after primary infection, and upon secondary challenge, compared to control mice. The increased immunity found in mice lacking IL-35 production by B cells was associated with a higher activation of macrophages and inflammatory T cells, as well as an increased function of B cells as antigen-presenting cells (APCs). During Salmonella infection, IL-35- and IL-10-producing B cells corresponded to two largely distinct sets of surface-IgM(+)CD138(hi)TACI(+)CXCR4(+)CD1d(int)Tim1(int) plasma cells expressing the transcription factor Blimp1 (also known as Prdm1). During EAE, CD138(+) plasma cells were also the main source of B-cell-derived IL-35 and IL-10. Collectively, our data show the importance of IL-35-producing B cells in regulation of immunity and highlight IL-35 production by B cells as a potential therapeutic target for autoimmune and infectious diseases. This study reveals the central role of activated B cells, particularly plasma cells, and their production of cytokines in the regulation of immune responses in health and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260166/" 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/PMC4260166/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shen, Ping -- Roch, Toralf -- Lampropoulou, Vicky -- O'Connor, Richard A -- Stervbo, Ulrik -- Hilgenberg, Ellen -- Ries, Stefanie -- Dang, Van Duc -- Jaimes, Yarua -- Daridon, Capucine -- Li, Rui -- Jouneau, Luc -- Boudinot, Pierre -- Wilantri, Siska -- Sakwa, Imme -- Miyazaki, Yusei -- Leech, Melanie D -- McPherson, Rhoanne C -- Wirtz, Stefan -- Neurath, Markus -- Hoehlig, Kai -- Meinl, Edgar -- Grutzkau, Andreas -- Grun, Joachim R -- Horn, Katharina -- Kuhl, Anja A -- Dorner, Thomas -- Bar-Or, Amit -- Kaufmann, Stefan H E -- Anderton, Stephen M -- Fillatreau, Simon -- 087833/Wellcome Trust/United Kingdom -- 095831/Wellcome Trust/United Kingdom -- G0801924/Medical Research Council/United Kingdom -- G0901697/Medical Research Council/United Kingdom -- G1100084/Medical Research Council/United Kingdom -- Canadian Institutes of Health Research/Canada -- Medical Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- England -- Nature. 2014 Mar 20;507(7492):366-70. doi: 10.1038/nature12979. Epub 2014 Feb 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Deutsches Rheuma-Forschungszentrum, a Leibniz Institute, Chariteplatz 1, 10117 Berlin, Germany [2]. ; 1] Deutsches Rheuma-Forschungszentrum, a Leibniz Institute, Chariteplatz 1, 10117 Berlin, Germany [2] Institute of Biomaterial Science, Helmholtz-Zentrum Geesthacht, Centre for Materials and Coastal Research, Kantstrasse 55, 14513 Teltow, Germany. [3]. ; Deutsches Rheuma-Forschungszentrum, a Leibniz Institute, Chariteplatz 1, 10117 Berlin, Germany. ; University of Edinburgh, Centre for Inflammation Research and Centre for Multiple Sclerosis Research, Queen's Medical Research Institute, Edinburgh EH16 4TJ, UK. ; 1] Deutsches Rheuma-Forschungszentrum, a Leibniz Institute, Chariteplatz 1, 10117 Berlin, Germany [2] Charite Universitatsmedizin Berlin, CC12, Department of Medicine/Rheumatology and Clinical Immunology, 10117 Berlin, Germany. ; Neuroimmunology Unit, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec H3A2B4, Canada. ; Virologie et Immunologie Moleculaires, INRA, 78352 Jouy-en-Josas, France. ; Medical Clinic 1, Kussmaul Campus for Medical Research, University of Erlangen-Nurnberg, 91054 Erlangen, Germany. ; Institut fur Klinische Neuroimmunologie Klinikum der Ludwig-Maximilians-Universitat Munchen, 81377 Munchen, Germany. ; Immunpathologie, Research Center ImmunoSciences, 12203 Berlin, Germany. ; Max Planck Institute of Infection Biology, Department of Immunology, Chariteplatz 1, 10117 Berlin, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24572363" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Antigen-Presenting Cells/immunology/metabolism ; Antigens, CD40/immunology ; B-Lymphocytes/*immunology/*metabolism/secretion ; Encephalomyelitis, Autoimmune, Experimental/*immunology ; Female ; Humans ; Immunity/*immunology ; Interleukin-10/metabolism ; Interleukins/immunology/*metabolism/secretion ; Lymphocyte Activation ; Macrophages/cytology/immunology ; Male ; Mice ; Plasma Cells/immunology/metabolism ; Salmonella Infections/*immunology/microbiology ; T-Lymphocytes/immunology ; Toll-Like Receptor 4/immunology
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