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  • 1
    Publication Date: 2015-10-15
    Description: Defects during chromosome replication in eukaryotes activate a signaling pathway called the S-phase checkpoint, which produces a multifaceted response that preserves genome integrity at stalled DNA replication forks. Work with budding yeast showed that the ‘alternative clamp loader’ known as Ctf18-RFC acts by an unknown mechanism to activate the checkpoint kinase Rad53, which then mediates much of the checkpoint response. Here we show that budding yeast Ctf18-RFC associates with DNA polymerase epsilon, via an evolutionarily conserved ‘Pol binding module’ in Ctf18-RFC that is produced by interaction of the carboxyl terminus of Ctf18 with the Ctf8 and Dcc1 subunits. Mutations at the end of Ctf18 disrupt the integrity of the Pol binding module and block the S-phase checkpoint pathway, downstream of the Mec1 kinase that is the budding yeast orthologue of mammalian ATR. Similar defects in checkpoint activation are produced by mutations that displace Pol from the replisome. These findings indicate that the association of Ctf18-RFC with Pol at defective replication forks is a key step in activation of the S-phase checkpoint.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 2
    Publication Date: 2013-10-12
    Description: We calculate stellar masses for ~400 000 massive luminous galaxies at redshift ~0.2–0.7 using the first two years of data from the Baryon Oscillation Spectroscopic Survey (BOSS). Stellar masses are obtained by fitting model spectral energy distributions to u , g , r , i , z magnitudes, and simulations with mock galaxies are used to understand how well the templates recover the stellar mass. Accurate BOSS spectroscopic redshifts are used to constrain the fits. We find that the distribution of stellar masses in BOSS is narrow (log M  ~ 0.5 dex) and peaks at about log M/M  ~ 11.3 (for a Kroupa initial stellar mass function), and that the mass sampling is uniform over the redshift range 0.2–0.6, in agreement with the intended BOSS target selection. The galaxy masses probed by BOSS extend over ~10 12 M , providing unprecedented measurements of the high-mass end of the galaxy mass function. We find that the galaxy number density above ~2.5 10 11 M agrees with previous determinations. We perform a comparison with semi-analytic galaxy formation models tailored to the BOSS target selection and volume, in order to contain incompleteness. The abundance of massive galaxies in the models compare fairly well with the BOSS data, but the models lack galaxies at the massive end. Moreover, no evolution with redshift is detected from ~0.6 to 0.4 in the data, whereas the abundance of massive galaxies in the models increases to redshift zero. Additionally, BOSS data display colour–magnitude (mass) relations similar to those found in the local Universe, where the most massive galaxies are the reddest. On the other hand, the model colours do not display a dependence on stellar mass, span a narrower range and are typically bluer than the observations. We argue that the lack of a colour–mass relation for massive galaxies in the models is mostly due to metallicity, which is too low in the models.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
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  • 3
    Publication Date: 2010-08-06
    Description: Plasma concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides are among the most important risk factors for coronary artery disease (CAD) and are targets for therapeutic intervention. We screened the genome for common variants associated with plasma lipids in 〉100,000 individuals of European ancestry. Here we report 95 significantly associated loci (P 〈 5 x 10(-8)), with 59 showing genome-wide significant association with lipid traits for the first time. The newly reported associations include single nucleotide polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken together, our findings provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3039276/" 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/PMC3039276/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Teslovich, Tanya M -- Musunuru, Kiran -- Smith, Albert V -- Edmondson, Andrew C -- Stylianou, Ioannis M -- Koseki, Masahiro -- Pirruccello, James P -- Ripatti, Samuli -- Chasman, Daniel I -- Willer, Cristen J -- Johansen, Christopher T -- Fouchier, Sigrid W -- Isaacs, Aaron -- Peloso, Gina M -- Barbalic, Maja -- Ricketts, Sally L -- Bis, Joshua C -- Aulchenko, Yurii S -- Thorleifsson, Gudmar -- Feitosa, Mary F -- Chambers, John -- Orho-Melander, Marju -- Melander, Olle -- Johnson, Toby -- Li, Xiaohui -- Guo, Xiuqing -- Li, Mingyao -- Shin Cho, Yoon -- Jin Go, Min -- Jin Kim, Young -- Lee, Jong-Young -- Park, Taesung -- Kim, Kyunga -- Sim, Xueling -- Twee-Hee Ong, Rick -- Croteau-Chonka, Damien C -- Lange, Leslie A -- Smith, Joshua D -- Song, Kijoung -- Hua Zhao, Jing -- Yuan, Xin -- Luan, Jian'an -- Lamina, Claudia -- Ziegler, Andreas -- Zhang, Weihua -- Zee, Robert Y L -- Wright, Alan F -- Witteman, Jacqueline C M -- Wilson, James F -- Willemsen, Gonneke -- Wichmann, H-Erich -- Whitfield, John B -- Waterworth, Dawn M -- Wareham, Nicholas J -- Waeber, Gerard -- Vollenweider, Peter -- Voight, Benjamin F -- Vitart, Veronique -- Uitterlinden, Andre G -- Uda, Manuela -- Tuomilehto, Jaakko -- Thompson, John R -- Tanaka, Toshiko -- Surakka, Ida -- Stringham, Heather M -- Spector, Tim D -- Soranzo, Nicole -- Smit, Johannes H -- Sinisalo, Juha -- Silander, Kaisa -- Sijbrands, Eric J G -- Scuteri, Angelo -- Scott, James -- Schlessinger, David -- Sanna, Serena -- Salomaa, Veikko -- Saharinen, Juha -- Sabatti, Chiara -- Ruokonen, Aimo -- Rudan, Igor -- Rose, Lynda M -- Roberts, Robert -- Rieder, Mark -- Psaty, Bruce M -- Pramstaller, Peter P -- Pichler, Irene -- Perola, Markus -- Penninx, Brenda W J H -- Pedersen, Nancy L -- Pattaro, Cristian -- Parker, Alex N -- Pare, Guillaume -- Oostra, Ben A -- O'Donnell, Christopher J -- Nieminen, Markku S -- Nickerson, Deborah A -- Montgomery, Grant W -- Meitinger, Thomas -- McPherson, Ruth -- McCarthy, Mark I -- McArdle, Wendy -- Masson, David -- Martin, Nicholas G -- Marroni, Fabio -- Mangino, Massimo -- Magnusson, Patrik K E -- Lucas, Gavin -- Luben, Robert -- Loos, Ruth J F -- Lokki, Marja-Liisa -- Lettre, Guillaume -- Langenberg, Claudia -- Launer, Lenore J -- Lakatta, Edward G -- Laaksonen, Reijo -- Kyvik, Kirsten O -- Kronenberg, Florian -- Konig, Inke R -- Khaw, Kay-Tee -- Kaprio, Jaakko -- Kaplan, Lee M -- Johansson, Asa -- Jarvelin, Marjo-Riitta -- Janssens, A Cecile J W -- Ingelsson, Erik -- Igl, Wilmar -- Kees Hovingh, G -- Hottenga, Jouke-Jan -- Hofman, Albert -- Hicks, Andrew A -- Hengstenberg, Christian -- Heid, Iris M -- Hayward, Caroline -- Havulinna, Aki S -- Hastie, Nicholas D -- Harris, Tamara B -- Haritunians, Talin -- Hall, Alistair S -- Gyllensten, Ulf -- Guiducci, Candace -- Groop, Leif C -- Gonzalez, Elena -- Gieger, Christian -- Freimer, Nelson B -- Ferrucci, Luigi -- Erdmann, Jeanette -- Elliott, Paul -- Ejebe, Kenechi G -- Doring, Angela -- Dominiczak, Anna F -- Demissie, Serkalem -- Deloukas, Panagiotis -- de Geus, Eco J C -- de Faire, Ulf -- Crawford, Gabriel -- Collins, Francis S -- Chen, Yii-der I -- Caulfield, Mark J -- Campbell, Harry -- Burtt, Noel P -- Bonnycastle, Lori L -- Boomsma, Dorret I -- Boekholdt, S Matthijs -- Bergman, Richard N -- Barroso, Ines -- Bandinelli, Stefania -- Ballantyne, Christie M -- Assimes, Themistocles L -- Quertermous, Thomas -- Altshuler, David -- Seielstad, Mark -- Wong, Tien Y -- Tai, E-Shyong -- Feranil, Alan B -- Kuzawa, Christopher W -- Adair, Linda S -- Taylor, Herman A Jr -- Borecki, Ingrid B -- Gabriel, Stacey B -- Wilson, James G -- Holm, Hilma -- Thorsteinsdottir, Unnur -- Gudnason, Vilmundur -- Krauss, Ronald M -- Mohlke, Karen L -- Ordovas, Jose M -- Munroe, Patricia B -- Kooner, Jaspal S -- Tall, Alan R -- Hegele, Robert A -- Kastelein, John J P -- Schadt, Eric E -- Rotter, Jerome I -- Boerwinkle, Eric -- Strachan, David P -- Mooser, Vincent -- Stefansson, Kari -- Reilly, Muredach P -- Samani, Nilesh J -- Schunkert, Heribert -- Cupples, L Adrienne -- Sandhu, Manjinder S -- Ridker, Paul M -- Rader, Daniel J -- van Duijn, Cornelia M -- Peltonen, Leena -- Abecasis, Goncalo R -- Boehnke, Michael -- Kathiresan, Sekar -- 068545/Z/02/Wellcome Trust/United Kingdom -- 076113/B/04/Z/Wellcome Trust/United Kingdom -- 077016/Z/05/Z/Wellcome Trust/United Kingdom -- 079895/Wellcome Trust/United Kingdom -- 1Z01 HG000024/HG/NHGRI NIH HHS/ -- 5R01DK06833603/DK/NIDDK NIH HHS/ -- 5R01DK07568102/DK/NIDDK NIH HHS/ -- 5R01HL087679-02/HL/NHLBI NIH HHS/ -- 5R01HL08770003/HL/NHLBI NIH HHS/ -- 5R01HL08821502/HL/NHLBI NIH HHS/ -- CA 047988/CA/NCI NIH HHS/ -- CZB/4/710/Chief Scientist Office/United Kingdom -- DK062370/DK/NIDDK NIH HHS/ -- DK063491/DK/NIDDK NIH HHS/ -- DK072193/DK/NIDDK NIH HHS/ -- DK078150/DK/NIDDK NIH HHS/ -- DK56350/DK/NIDDK NIH HHS/ -- ES10126/ES/NIEHS NIH HHS/ -- G0000934/Medical Research Council/United Kingdom -- G0401527/Medical Research Council/United Kingdom -- G0601966/Medical Research Council/United Kingdom -- G0700931/Medical Research Council/United Kingdom -- G0701863/Medical Research Council/United Kingdom -- G0801056/Medical Research Council/United Kingdom -- G0801566/Medical Research Council/United Kingdom -- G9521010/Medical Research Council/United Kingdom -- G9521010D/Medical Research Council/United Kingdom -- HHSN268200625226C/PHS HHS/ -- HL 04381/HL/NHLBI NIH HHS/ -- HL 080467/HL/NHLBI NIH HHS/ -- HL-54776/HL/NHLBI NIH HHS/ -- HL085144/HL/NHLBI NIH HHS/ -- K99 HL098364/HL/NHLBI NIH HHS/ -- K99 HL098364-01/HL/NHLBI NIH HHS/ -- K99HL094535/HL/NHLBI NIH HHS/ -- M01-RR00425/RR/NCRR NIH HHS/ -- MC_QA137934/Medical Research Council/United Kingdom -- MC_U106179471/Medical Research Council/United Kingdom -- MC_U106188470/Medical Research Council/United Kingdom -- MC_U127561128/Medical Research Council/United Kingdom -- N01 HC-15103/HC/NHLBI NIH HHS/ -- N01 HC-55222/HC/NHLBI NIH HHS/ -- N01-AG-12100/AG/NIA NIH HHS/ -- N01-HC-25195/HC/NHLBI NIH HHS/ -- N01-HC-35129/HC/NHLBI NIH HHS/ -- N01-HC-45133/HC/NHLBI NIH HHS/ -- N01-HC-55015/HC/NHLBI NIH HHS/ -- N01-HC-55016/HC/NHLBI NIH HHS/ -- N01-HC-55018/HC/NHLBI NIH HHS/ -- N01-HC-55019/HC/NHLBI NIH HHS/ -- N01-HC-55020/HC/NHLBI NIH HHS/ -- N01-HC-55021/HC/NHLBI NIH HHS/ -- N01-HC-55022/HC/NHLBI NIH HHS/ -- N01-HC-75150/HC/NHLBI NIH HHS/ -- N01-HC-85079/HC/NHLBI NIH HHS/ -- N01-HC-85080/HC/NHLBI NIH HHS/ -- N01-HC-85081/HC/NHLBI NIH HHS/ -- N01-HC-85082/HC/NHLBI NIH HHS/ -- N01-HC-85083/HC/NHLBI NIH HHS/ -- N01-HC-85084/HC/NHLBI NIH HHS/ -- N01-HC-85085/HC/NHLBI NIH HHS/ -- N01-HC-85086/HC/NHLBI NIH HHS/ -- N01-HG-65403/HG/NHGRI NIH HHS/ -- N02-HL-6-4278/HL/NHLBI NIH HHS/ -- PG/02/128/British Heart Foundation/United Kingdom -- PG/08/094/British Heart Foundation/United Kingdom -- PG/08/094/26019/British Heart Foundation/United Kingdom -- R01 DK072193/DK/NIDDK NIH HHS/ -- R01 DK078150/DK/NIDDK NIH HHS/ -- R01 HL087647/HL/NHLBI NIH HHS/ -- R01 HL087676/HL/NHLBI NIH HHS/ -- R01 HL089650/HL/NHLBI NIH HHS/ -- R01HL086694/HL/NHLBI NIH HHS/ -- R01HL087641/HL/NHLBI NIH HHS/ -- R01HL087652/HL/NHLBI NIH HHS/ -- R01HL59367/HL/NHLBI NIH HHS/ -- R24 HD050924/HD/NICHD NIH HHS/ -- RC1 HL099634/HL/NHLBI NIH HHS/ -- RC1 HL099634-02/HL/NHLBI NIH HHS/ -- RC1 HL099793/HL/NHLBI NIH HHS/ -- RC2 HL101864,/HL/NHLBI NIH HHS/ -- RC2 HL102419/HL/NHLBI NIH HHS/ -- RG/07/005/23633/British Heart Foundation/United Kingdom -- RR20649/RR/NCRR NIH HHS/ -- SP/08/005/25115/British Heart Foundation/United Kingdom -- T32 GM007092/GM/NIGMS NIH HHS/ -- T32 HG00040/HG/NHGRI NIH HHS/ -- T32HL007208/HL/NHLBI NIH HHS/ -- TW05596/TW/FIC NIH HHS/ -- U01 DK062370/DK/NIDDK NIH HHS/ -- U01 DK062418/DK/NIDDK NIH HHS/ -- U01 HL069757/HL/NHLBI NIH HHS/ -- U01 HL080295/HL/NHLBI NIH HHS/ -- U01HG004402/HG/NHGRI NIH HHS/ -- U54 RR020278/RR/NCRR NIH HHS/ -- UL1RR025005/RR/NCRR NIH HHS/ -- Intramural NIH HHS/ -- England -- Nature. 2010 Aug 5;466(7307):707-13. doi: 10.1038/nature09270.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20686565" target="_blank"〉PubMed〈/a〉
    Keywords: African Americans/genetics ; Animals ; Asian Continental Ancestry Group/genetics ; Cholesterol, HDL/blood ; Cholesterol, LDL/blood ; Coronary Artery Disease/blood/genetics/therapy ; Europe/ethnology ; European Continental Ancestry Group/genetics ; Female ; Genetic Loci/*genetics ; *Genome-Wide Association Study ; Genotype ; Humans ; Lipid Metabolism/*genetics ; Lipids/*blood ; Liver/metabolism ; Male ; Mice ; N-Acetylgalactosaminyltransferases/genetics/metabolism ; Phenotype ; Polymorphism, Single Nucleotide/genetics ; Protein Phosphatase 1/genetics/metabolism ; Reproducibility of Results ; Triglycerides/blood
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    ISSN: 1089-7623
    Source: AIP Digital Archive
    Topics: Physics , Electrical Engineering, Measurement and Control Technology
    Notes: Several improvements for a previously described semiautomated system for spin-wave instability threshold measurement in microwave ferrites are described. The effects of sample size, sample position in the microwave cavity, and method of data interpretation on the threshold field hcrit are also reported. The data were obtained by the parallel pumping technique at 8.92 GHz. Sphere-shaped samples of polycrystalline yttrium iron garnet were used for the measurements. The results show that the initial, "exact'' instability onset, the "extrapolated'' onset from the loss increase above threshold, and the "visual'' onset estimate from the above threshold response can vary by more than 0.5 Oe for hcrit values of 3 Oe or so. Large samples, above 1 mm in diameter, lead to an overestimation of hcrit due to errors in the microwave cavity perturbation theory analysis which forms the basis of the measurement. The amount of overestimation is about 0.1 Oe for a diameter of 2 mm and 0.2 Oe at 3 mm. Sample position relative to the cavity end wall does not appear to be critical. Imaging effects are small for hcrit measurements in the YIG-like materials of interest here.
    Type of Medium: Electronic Resource
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