The Experts below are selected from a list of 291 Experts worldwide ranked by ideXlab platform
Edith Bellet-amalric - One of the best experts on this subject based on the ideXlab platform.
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Control of the Incubation Time in the vapor-solid-solid growth of semiconductor nanowires
Applied Physics Letters, 2017Co-Authors: M. Orrù, Eric Robin, Y. Genuist, Régis André, Joel Cibert, M. Den Hertog, Edith Bellet-amalricAbstract:Nanowires grown in the vapor-solid-solid mode using solid gold nanoparticles as a catalyst may exhibit a strong fluctuation of their length mostly due to the presence of an Incubation Time with a large distribution. We show that this is efficiently cured by an appropriate preparation of the catalyst nanoparticle—in the case of ZnTe nanowires by adding a Zn flux during the dewetting process. While nanowires start at any Time after dewetting in vacuum (resulting in a broad length distribution, up to a factor of 10), the Incubation Time is quite uniform after dewetting under Zn exposure. Residual fluctuations (reduced to below a factor of 2) are due to fluctuations of the nanoparticle size and to a change of the nanoparticle morphology during the growth.
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Control of the Incubation Time in the vapor-solid-solid growth of semiconductor nanowires
Applied Physics Letters, 2017Co-Authors: M. Orrù, M Den Hertog, Eric Robin, Y. Genuist, Régis André, Joel Cibert, Edith Bellet-amalricAbstract:Nanowires grown in the vapor-solid-solid mode using solid gold nanoparticles as a catalyst may exhibit a strong fluctuation of their length mostly due to the presence of an Incubation Time with a large distribution. We show that this is efficiently cured by an appropriate preparation of the catalyst nanoparticle-in the case of ZnTe nanowires by adding a Zn flux during the dewetting process. While NWs start at any Time after dewetting in vacuum (resulting in a broad length distribution, up to a factor of 10), the Incubation Time is quite uniform after dewetting under Zn exposure. Residual fluctuations (reduced to below a factor of 2) are due to fluctuations of the nanoparticle size and to a change of the nanoparticle morphology during the growth.
Sarah E. Lloyd - One of the best experts on this subject based on the ideXlab platform.
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sod1 deficiency reduces Incubation Time in mouse models of prion disease
PLOS ONE, 2013Co-Authors: Shaheen Akhtar, Julia Grizenkova, Holger Hummerich, Adam Wenborn, John Collinge, Sebastian Brandner, Mar Fernandez De Marco, Sarah E. LloydAbstract:Prion infections, causing neurodegenerative conditions such as Creutzfeldt-Jakob disease and kuru in humans, scrapie in sheep and BSE in cattle are characterised by prolonged and variable Incubation periods that are faithfully reproduced in mouse models. Incubation Time is partly determined by genetic factors including polymorphisms in the prion protein gene. Quantitative trait loci studies in mice and human genome-wide association studies have confirmed that multiple genes are involved. Candidate gene approaches have also been used and identified App, Il1-r1 and Sod1 as affecting Incubation Times. In this study we looked for an association between App, Il1-r1 and Sod1 representative SNPs and prion disease Incubation Time in the Northport heterogeneous stock of mice inoculated with the Chandler/RML prion strain. No association was seen with App, however, significant associations were seen with Il1-r1 (P = 0.02) and Sod1 (P<0.0001) suggesting that polymorphisms at these loci contribute to the natural variation observed in Incubation Time. Furthermore, following challenge with Chandler/RML, ME7 and MRC2 prion strains, Sod1 deficient mice showed highly significant reductions in Incubation Time of 20, 13 and 24%, respectively. No differences were detected in Sod1 expression or activity. Our data confirm the protective role of endogenous Sod1 in prion disease.
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Sod1 Deficiency Reduces Incubation Time in Mouse Models of Prion Disease
PloS one, 2013Co-Authors: Shaheen Akhtar, Julia Grizenkova, Holger Hummerich, Adam Wenborn, John Collinge, Sebastian Brandner, Mar Fernandez De Marco, Sarah E. LloydAbstract:Prion infections, causing neurodegenerative conditions such as Creutzfeldt-Jakob disease and kuru in humans, scrapie in sheep and BSE in cattle are characterised by prolonged and variable Incubation periods that are faithfully reproduced in mouse models. Incubation Time is partly determined by genetic factors including polymorphisms in the prion protein gene. Quantitative trait loci studies in mice and human genome-wide association studies have confirmed that multiple genes are involved. Candidate gene approaches have also been used and identified App, Il1-r1 and Sod1 as affecting Incubation Times. In this study we looked for an association between App, Il1-r1 and Sod1 representative SNPs and prion disease Incubation Time in the Northport heterogeneous stock of mice inoculated with the Chandler/RML prion strain. No association was seen with App, however, significant associations were seen with Il1-r1 (P = 0.02) and Sod1 (P
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Sex Effects in Mouse Prion Disease Incubation Time
PloS one, 2011Co-Authors: Shaheen Akhtar, Adam Wenborn, John Collinge, Sebastian Brandner, Sarah E. LloydAbstract:Prion disease Incubation Time in mice is determined by many factors including PrP expression level, Prnp alleles, genetic background, prion strain and route of inoculation. Sex differences have been described in age of onset for vCJD and in disease duration for both vCJD and sporadic CJD and have also been shown in experimental models. The sex effects reported for mouse Incubation Times are often contradictory and detail only one strain of mice or prions, resulting in broad generalisations and a confusing picture. To clarify the effect of sex on prion disease Incubation Time in mice we have compared male and female transmission data from twelve different inbred lines of mice inoculated with at least two prion strains, representing both mouse-adapted scrapie and BSE. Our data show that sex can have a highly significant difference on Incubation Time. However, this is limited to particular mouse and prion strain combinations. No sex differences were seen in endogenous PrPC levels nor in the neuropathological markers of prion disease: PrPSc distribution, spongiosis, neuronal loss and gliosis. These data suggest that when comparing Incubation Times between experimental groups, such as testing the effects of modifier genes or therapeutics, single sex groups should be used.
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Shadoo (Sprn) and prion disease Incubation Time in mice
Mammalian genome : official journal of the International Mammalian Genome Society, 2009Co-Authors: Sarah E. Lloyd, Julia Grizenkova, Hirva Pota, John CollingeAbstract:Prion diseases are transmissible neurodegenerative disorders of mammalian species and include scrapie, bovine spongiform encephalopathy (BSE), and variant Creutzfeldt-Jakob disease (vCJD). The prion protein (PrP) plays a key role in the disease, with coding polymorphism in both human and mouse influencing disease susceptibility and Incubation Time, respectively. Other genes are also thought to be important and a plausible candidate is Sprn, which encodes the PrP-like protein Shadoo (Sho). Sho is expressed in the adult central nervous system and exhibits neuroprotective activity reminiscent of PrP in an in vitro assay. To investigate the role of Sprn in prion disease Incubation Time we sequenced the open reading frame (ORF) in a diverse panel of mice and saw little variation except in strains derived from wild-trapped mice. Sequencing the untranslated regions revealed polymorphisms that allowed us to carry out an association study of Incubation period in the Northport heterogeneous stock of mice inoculated with Chandler/RML prions. We also examined the expression level of Sprn mRNA in the brains of normal and prion-infected mice and saw no correlation with either genotype or Incubation Time. We therefore conclude that Sprn does not play a major role in prion disease Incubation Time in these strains of mice.
M. Orrù - One of the best experts on this subject based on the ideXlab platform.
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Control of the Incubation Time in the vapor-solid-solid growth of semiconductor nanowires
Applied Physics Letters, 2017Co-Authors: M. Orrù, Eric Robin, Y. Genuist, Régis André, Joel Cibert, M. Den Hertog, Edith Bellet-amalricAbstract:Nanowires grown in the vapor-solid-solid mode using solid gold nanoparticles as a catalyst may exhibit a strong fluctuation of their length mostly due to the presence of an Incubation Time with a large distribution. We show that this is efficiently cured by an appropriate preparation of the catalyst nanoparticle—in the case of ZnTe nanowires by adding a Zn flux during the dewetting process. While nanowires start at any Time after dewetting in vacuum (resulting in a broad length distribution, up to a factor of 10), the Incubation Time is quite uniform after dewetting under Zn exposure. Residual fluctuations (reduced to below a factor of 2) are due to fluctuations of the nanoparticle size and to a change of the nanoparticle morphology during the growth.
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Control of the Incubation Time in the vapor-solid-solid growth of semiconductor nanowires
Applied Physics Letters, 2017Co-Authors: M. Orrù, M Den Hertog, Eric Robin, Y. Genuist, Régis André, Joel Cibert, Edith Bellet-amalricAbstract:Nanowires grown in the vapor-solid-solid mode using solid gold nanoparticles as a catalyst may exhibit a strong fluctuation of their length mostly due to the presence of an Incubation Time with a large distribution. We show that this is efficiently cured by an appropriate preparation of the catalyst nanoparticle-in the case of ZnTe nanowires by adding a Zn flux during the dewetting process. While NWs start at any Time after dewetting in vacuum (resulting in a broad length distribution, up to a factor of 10), the Incubation Time is quite uniform after dewetting under Zn exposure. Residual fluctuations (reduced to below a factor of 2) are due to fluctuations of the nanoparticle size and to a change of the nanoparticle morphology during the growth.
Shaheen Akhtar - One of the best experts on this subject based on the ideXlab platform.
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sod1 deficiency reduces Incubation Time in mouse models of prion disease
PLOS ONE, 2013Co-Authors: Shaheen Akhtar, Julia Grizenkova, Holger Hummerich, Adam Wenborn, John Collinge, Sebastian Brandner, Mar Fernandez De Marco, Sarah E. LloydAbstract:Prion infections, causing neurodegenerative conditions such as Creutzfeldt-Jakob disease and kuru in humans, scrapie in sheep and BSE in cattle are characterised by prolonged and variable Incubation periods that are faithfully reproduced in mouse models. Incubation Time is partly determined by genetic factors including polymorphisms in the prion protein gene. Quantitative trait loci studies in mice and human genome-wide association studies have confirmed that multiple genes are involved. Candidate gene approaches have also been used and identified App, Il1-r1 and Sod1 as affecting Incubation Times. In this study we looked for an association between App, Il1-r1 and Sod1 representative SNPs and prion disease Incubation Time in the Northport heterogeneous stock of mice inoculated with the Chandler/RML prion strain. No association was seen with App, however, significant associations were seen with Il1-r1 (P = 0.02) and Sod1 (P<0.0001) suggesting that polymorphisms at these loci contribute to the natural variation observed in Incubation Time. Furthermore, following challenge with Chandler/RML, ME7 and MRC2 prion strains, Sod1 deficient mice showed highly significant reductions in Incubation Time of 20, 13 and 24%, respectively. No differences were detected in Sod1 expression or activity. Our data confirm the protective role of endogenous Sod1 in prion disease.
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Sod1 Deficiency Reduces Incubation Time in Mouse Models of Prion Disease
PloS one, 2013Co-Authors: Shaheen Akhtar, Julia Grizenkova, Holger Hummerich, Adam Wenborn, John Collinge, Sebastian Brandner, Mar Fernandez De Marco, Sarah E. LloydAbstract:Prion infections, causing neurodegenerative conditions such as Creutzfeldt-Jakob disease and kuru in humans, scrapie in sheep and BSE in cattle are characterised by prolonged and variable Incubation periods that are faithfully reproduced in mouse models. Incubation Time is partly determined by genetic factors including polymorphisms in the prion protein gene. Quantitative trait loci studies in mice and human genome-wide association studies have confirmed that multiple genes are involved. Candidate gene approaches have also been used and identified App, Il1-r1 and Sod1 as affecting Incubation Times. In this study we looked for an association between App, Il1-r1 and Sod1 representative SNPs and prion disease Incubation Time in the Northport heterogeneous stock of mice inoculated with the Chandler/RML prion strain. No association was seen with App, however, significant associations were seen with Il1-r1 (P = 0.02) and Sod1 (P
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overexpression of the hspa13 stch gene reduces prion disease Incubation Time in mice
Proceedings of the National Academy of Sciences of the United States of America, 2012Co-Authors: Julia Grizenkova, Shaheen Akhtar, Holger Hummerich, Andrew Tomlinson, Emmanuel A Asante, Adam Wenborn, Jeremie Fizet, M Poulter, Frances K Wiseman, Elizabeth M C FisherAbstract:Prion diseases are fatal neurodegenerative disorders that include bovine spongiform encephalopathy (BSE) and scrapie in animals and Creutzfeldt-Jakob disease (CJD) in humans. They are characterized by long Incubation periods, variation in which is determined by many factors including genetic background. In some cases it is possible that Incubation Time may be directly correlated to the level of gene expression. To test this hypothesis, we combined Incubation Time data from five different inbred lines of mice with quantitative gene expression profiling in normal brains and identified five genes with expression levels that correlate with Incubation Time. One of these genes, Hspa13 (Stch), is a member of the Hsp70 family of ATPase heat shock proteins, which have been previously implicated in prion propagation. To test whether Hspa13 plays a causal role in determining the Incubation period, we tested two overexpressing mouse models. The Tc1 human chromosome 21 (Hsa21) transchromosomic mouse model of Down syndrome is trisomic for many Hsa21 genes including Hspa13 and following Chandler/Rocky Mountain Laboratory (RML) prion inoculation, shows a 4% reduction in Incubation Time. Furthermore, a transgenic model with eightfold overexpression of mouse Hspa13 exhibited highly significant reductions in Incubation Time of 16, 15, and 7% following infection with Chandler/RML, ME7, and MRC2 prion strains, respectively. These data further implicate Hsp70-like molecular chaperones in protein misfolding disorders such as prion disease.
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Sex Effects in Mouse Prion Disease Incubation Time
PloS one, 2011Co-Authors: Shaheen Akhtar, Adam Wenborn, John Collinge, Sebastian Brandner, Sarah E. LloydAbstract:Prion disease Incubation Time in mice is determined by many factors including PrP expression level, Prnp alleles, genetic background, prion strain and route of inoculation. Sex differences have been described in age of onset for vCJD and in disease duration for both vCJD and sporadic CJD and have also been shown in experimental models. The sex effects reported for mouse Incubation Times are often contradictory and detail only one strain of mice or prions, resulting in broad generalisations and a confusing picture. To clarify the effect of sex on prion disease Incubation Time in mice we have compared male and female transmission data from twelve different inbred lines of mice inoculated with at least two prion strains, representing both mouse-adapted scrapie and BSE. Our data show that sex can have a highly significant difference on Incubation Time. However, this is limited to particular mouse and prion strain combinations. No sex differences were seen in endogenous PrPC levels nor in the neuropathological markers of prion disease: PrPSc distribution, spongiosis, neuronal loss and gliosis. These data suggest that when comparing Incubation Times between experimental groups, such as testing the effects of modifier genes or therapeutics, single sex groups should be used.
Eric Robin - One of the best experts on this subject based on the ideXlab platform.
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Control of the Incubation Time in the vapor-solid-solid growth of semiconductor nanowires
Applied Physics Letters, 2017Co-Authors: M. Orrù, Eric Robin, Y. Genuist, Régis André, Joel Cibert, M. Den Hertog, Edith Bellet-amalricAbstract:Nanowires grown in the vapor-solid-solid mode using solid gold nanoparticles as a catalyst may exhibit a strong fluctuation of their length mostly due to the presence of an Incubation Time with a large distribution. We show that this is efficiently cured by an appropriate preparation of the catalyst nanoparticle—in the case of ZnTe nanowires by adding a Zn flux during the dewetting process. While nanowires start at any Time after dewetting in vacuum (resulting in a broad length distribution, up to a factor of 10), the Incubation Time is quite uniform after dewetting under Zn exposure. Residual fluctuations (reduced to below a factor of 2) are due to fluctuations of the nanoparticle size and to a change of the nanoparticle morphology during the growth.
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Control of the Incubation Time in the vapor-solid-solid growth of semiconductor nanowires
Applied Physics Letters, 2017Co-Authors: M. Orrù, M Den Hertog, Eric Robin, Y. Genuist, Régis André, Joel Cibert, Edith Bellet-amalricAbstract:Nanowires grown in the vapor-solid-solid mode using solid gold nanoparticles as a catalyst may exhibit a strong fluctuation of their length mostly due to the presence of an Incubation Time with a large distribution. We show that this is efficiently cured by an appropriate preparation of the catalyst nanoparticle-in the case of ZnTe nanowires by adding a Zn flux during the dewetting process. While NWs start at any Time after dewetting in vacuum (resulting in a broad length distribution, up to a factor of 10), the Incubation Time is quite uniform after dewetting under Zn exposure. Residual fluctuations (reduced to below a factor of 2) are due to fluctuations of the nanoparticle size and to a change of the nanoparticle morphology during the growth.
