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27 results on '"Foster M"'

1. The effect of magnetic fields on gamma-ray bursts inferred from multi-wavelength observations of the burst of 23 January 1999

Author

Galama, T. J., Briggs, M. S., Wijers, R. A. M. J., Vreeswijk, P. M., Rol, E., Band, D., van Paradijs, J., Kouveliotou, C., Preece, R. D., Bremer, M., Smith, I. A., Tilanus, R. P. J., de Bruyn, A. G., Strom, R. G., Pooley, G., Castro-Tirado, A. J., Tanvir, N., Robinson, C., Hurley, K., Heise, J., Telting, J., Rutten, R. G. M., Packham, C., Swaters, R., Davies, J. K., Fassia, A., Green, S. F., Foster, M. J., Sagar, R., Pandey, A. K., Yadav, R. K. S., Ofek, E. O., Leibowitz, E., Ibbetson, P., Rhoads, J., Falco, E., Petry, C., Impey, C., Geballe, T. R., and Bhattacharya, D.

Published
1999

2. Integrating common and rare genetic variation in diverse human populations

Author

Altshuler, D, Gibbs, R, Peltonen, L, Dermitzakis, E, Schaffner, S, Yu, F, Bonnen, P, de Bakker, P, Deloukas, P, Gabriel, S, Gwilliam, R, Hunt, S, Inouye, M, Jia, X, Palotie, A, Parkin, M, Whittaker, P, Chang, K, Hawes, A, Lewis, L, Ren, Y, Wheeler, D, Muzny, D, Barnes, C, Darvishi, K, Hurles, M, Korn, J, Kristiansson, K, Lee, C, McCarrol, SA, Nemesh, J, Keinan, A, Montgomery, S, Pollack, S, Price, A, Soranzo, N, Gonzaga-Jauregui, C, Anttila, V, Brodeur, W, Daly, M, Leslie, S, McVean, G, Moutsianas, L, Nguyen, H, Zhang, Q, Ghori, M, McGinnis, R, McLaren, W, Takeuchi, F, Grossman, SR, Shlyakhter, I, Hostetter, E, Sabeti, P, Adebamowo, C, Foster, M, Gordon, DR, Licinio, J, Manca, M, Marshall, P, Matsuda, I, Ngare, D, Wang, V, Reddy, D, Rotimi, C, Royal, C, Sharp, R, Zeng, C, Brooks, L, McEwen, J, Dermitzakis, Emmanouil, and Montgomery, Stephen

Subjects
DNA Copy Number Variations, Single-nucleotide polymorphism, Genome-wide association study, Human genetic variation, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Genome, Human, 0302 clinical medicine, Population Groups, Population Groups/*genetics, Human Genome Project, Humans, ddc:576.5, Copy-number variation, International HapMap Project, 030304 developmental biology, Genetics, 0303 health sciences, Multidisciplinary, SNP genotyping, Minor allele frequency, 030217 neurology & neurosurgery, Imputation (genetics)
Abstract

Despite great progress in identifying genetic variants that influence human disease, most inherited risk remains unexplained. A more complete understanding requires genome-wide studies that fully examine less common alleles in populations with a wide range of ancestry. To inform the design and interpretation of such studies, we genotyped 1.6 million common single nucleotide polymorphisms (SNPs) in 1,184 reference individuals from 11 global populations, and sequenced ten 100-kilobase regions in 692 of these individuals. This integrated data set of common and rare alleles, called 'HapMap 3', includes both SNPs and copy number polymorphisms (CNPs). We characterized population-specific differences among low-frequency variants, measured the improvement in imputation accuracy afforded by the larger reference panel, especially in imputing SNPs with a minor allele frequency of

Published
2010

26. Averting biodiversity collapse in tropical forest protected areas.

Author

Laurance WF, Useche DC, Rendeiro J, Kalka M, Bradshaw CJ, Sloan SP, Laurance SG, Campbell M, Abernethy K, Alvarez P, Arroyo-Rodriguez V, Ashton P, Benítez-Malvido J, Blom A, Bobo KS, Cannon CH, Cao M, Carroll R, Chapman C, Coates R, Cords M, Danielsen F, De Dijn B, Dinerstein E, Donnelly MA, Edwards D, Edwards F, Farwig N, Fashing P, Forget PM, Foster M, Gale G, Harris D, Harrison R, Hart J, Karpanty S, Kress WJ, Krishnaswamy J, Logsdon W, Lovett J, Magnusson W, Maisels F, Marshall AR, McClearn D, Mudappa D, Nielsen MR, Pearson R, Pitman N, van der Ploeg J, Plumptre A, Poulsen J, Quesada M, Rainey H, Robinson D, Roetgers C, Rovero F, Scatena F, Schulze C, Sheil D, Struhsaker T, Terborgh J, Thomas D, Timm R, Urbina-Cardona JN, Vasudevan K, Wright SJ, Arias-G JC, Arroyo L, Ashton M, Auzel P, Babaasa D, Babweteera F, Baker P, Banki O, Bass M, Bila-Isia I, Blake S, Brockelman W, Brokaw N, Brühl CA, Bunyavejchewin S, Chao JT, Chave J, Chellam R, Clark CJ, Clavijo J, Congdon R, Corlett R, Dattaraja HS, Dave C, Davies G, Beisiegel Bde M, da Silva Rde N, Di Fiore A, Diesmos A, Dirzo R, Doran-Sheehy D, Eaton M, Emmons L, Estrada A, Ewango C, Fedigan L, Feer F, Fruth B, Willis JG, Goodale U, Goodman S, Guix JC, Guthiga P, Haber W, Hamer K, Herbinger I, Hill J, Huang Z, Sun IF, Ickes K, Itoh A, Ivanauskas N, Jackes B, Janovec J, Janzen D, Jiangming M, Jin C, Jones T, Justiniano H, Kalko E, Kasangaki A, Killeen T, King HB, Klop E, Knott C, Koné I, Kudavidanage E, Ribeiro JL, Lattke J, Laval R, Lawton R, Leal M, Leighton M, Lentino M, Leonel C, Lindsell J, Ling-Ling L, Linsenmair KE, Losos E, Lugo A, Lwanga J, Mack AL, Martins M, McGraw WS, McNab R, Montag L, Thompson JM, Nabe-Nielsen J, Nakagawa M, Nepal S, Norconk M, Novotny V, O'Donnell S, Opiang M, Ouboter P, Parker K, Parthasarathy N, Pisciotta K, Prawiradilaga D, Pringle C, Rajathurai S, Reichard U, Reinartz G, Renton K, Reynolds G, Reynolds V, Riley E, Rödel MO, Rothman J, Round P, Sakai S, Sanaiotti T, Savini T, Schaab G, Seidensticker J, Siaka A, Silman MR, Smith TB, de Almeida SS, Sodhi N, Stanford C, Stewart K, Stokes E, Stoner KE, Sukumar R, Surbeck M, Tobler M, Tscharntke T, Turkalo A, Umapathy G, van Weerd M, Rivera JV, Venkataraman M, Venn L, Verea C, de Castilho CV, Waltert M, Wang B, Watts D, Weber W, West P, Whitacre D, Whitney K, Wilkie D, Williams S, Wright DD, Wright P, Xiankai L, Yonzon P, and Zamzani F

Subjects
Agriculture statistics & numerical data, Animals, Data Collection, Ecology statistics & numerical data, Environmental Pollution adverse effects, Environmental Pollution statistics & numerical data, Fires statistics & numerical data, Forestry statistics & numerical data, Interviews as Topic, Mining statistics & numerical data, Population Growth, Rain, Reproducibility of Results, Research Personnel, Surveys and Questionnaires, Temperature, Biodiversity, Conservation of Natural Resources statistics & numerical data, Endangered Species statistics & numerical data, Trees physiology, Tropical Climate
Abstract

The rapid disruption of tropical forests probably imperils global biodiversity more than any other contemporary phenomenon. With deforestation advancing quickly, protected areas are increasingly becoming final refuges for threatened species and natural ecosystem processes. However, many protected areas in the tropics are themselves vulnerable to human encroachment and other environmental stresses. As pressures mount, it is vital to know whether existing reserves can sustain their biodiversity. A critical constraint in addressing this question has been that data describing a broad array of biodiversity groups have been unavailable for a sufficiently large and representative sample of reserves. Here we present a uniquely comprehensive data set on changes over the past 20 to 30 years in 31 functional groups of species and 21 potential drivers of environmental change, for 60 protected areas stratified across the world’s major tropical regions. Our analysis reveals great variation in reserve ‘health’: about half of all reserves have been effective or performed passably, but the rest are experiencing an erosion of biodiversity that is often alarmingly widespread taxonomically and functionally. Habitat disruption, hunting and forest-product exploitation were the strongest predictors of declining reserve health. Crucially, environmental changes immediately outside reserves seemed nearly as important as those inside in determining their ecological fate, with changes inside reserves strongly mirroring those occurring around them. These findings suggest that tropical protected areas are often intimately linked ecologically to their surrounding habitats, and that a failure to stem broad-scale loss and degradation of such habitats could sharply increase the likelihood of serious biodiversity declines.

Published
2012
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27. Cell fusion is the principal source of bone-marrow-derived hepatocytes.

Author

Wang X, Willenbring H, Akkari Y, Torimaru Y, Foster M, Al-Dhalimy M, Lagasse E, Finegold M, Olson S, and Grompe M

Subjects
Alleles, Animals, Cell Differentiation, Cell Fusion, Diploidy, Female, Hepatocytes metabolism, Heterozygote, Homozygote, Hybrid Cells metabolism, In Situ Hybridization, Fluorescence, Karyotyping, Male, Mice, Polyploidy, Bone Marrow Cells cytology, Hematopoietic Stem Cells cytology, Hepatocytes cytology, Hepatocytes transplantation, Hybrid Cells cytology
Abstract

Evidence suggests that haematopoietic stem cells might have unexpected developmental plasticity, highlighting therapeutic potential. For example, bone-marrow-derived hepatocytes can repopulate the liver of mice with fumarylacetoacetate hydrolase deficiency and correct their liver disease. To determine the underlying mechanism in this murine model, we performed serial transplantation of bone-marrow-derived hepatocytes. Here we show by Southern blot analysis that the repopulating hepatocytes in the liver were heterozygous for alleles unique to the donor marrow, in contrast to the original homozygous donor cells. Furthermore, cytogenetic analysis of hepatocytes transplanted from female donor mice into male recipients demonstrated 80,XXXY (diploid to diploid fusion) and 120,XXXXYY (diploid to tetraploid fusion) karyotypes, indicative of fusion between donor and host cells. We conclude that hepatocytes derived form bone marrow arise from cell fusion and not by differentiation of haematopoietic stem cells.

Published
2003
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