653 resultados para Moss, Kira


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The epitopes recognized by CD8+ cytotoxic T lymphocytes (CTL) are generated from cytosolic proteins by proteolytic processing. The nature of the influences exerted by the sequences flanking CTL epitopes on these processing events remains controversial. Here we show that each epitope within an artificial polyepitope protein containing nine minimal CD8+ CTL epitopes in sequence was processed and presented to appropriate CTL clones. Natural flanking sequences were thus not required to direct class I proteolytic processing. In addition, unnatural flanking sequences containing other CTL epitopes did not interfere with processing. The ability of every CTL epitope to be effectively processed from a protein containing only CTL epitopes is likely to find application in the construction of recombinant polyepitope CTL vaccines.

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Mechanical signals are important influences on the development and morphology of higher plants. Using tobacco transformed with the Ca(2+)-sensitive luminescent protein aequorin, we recently reported the effects of mechanical signals of touch and wind on the luminescence and thus intracellular calcium of young seedlings. When mesophyll protoplasts are isolated from these transgenic tobacco plants and mechanically stimulated by swirling them in solution, cytoplasmic Ca2+ increases immediately and transiently up to 10 microM, and these transients are unaffected by an excess of EGTA in the medium. The size of the transient effect is related to the strength of swirling. Epidermal strips isolated from transgenic tobacco leaves and containing only viable guard cells and trichomes also respond to the strength of swirling in solution and can increase their cytoplasmic Ca2+ transiently up to 10 microM. Finally, the moss Physcomitrella patens containing recombinant aequorin exhibits transient increases in cytoplasmic Ca2+ up to 5 microM when swirled in solution. This effect is strongly inhibited by ruthenium red. Our data indicate that the effect of mechanical stimulation can be found in a number of different cell types and in a lower plant as well as tobacco and suggest that mechanoperception and the resulting increase in cytoplasmic Ca2+ may be widespread.

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A subclone of the human colon adenocarcinoma cell line DLD-1, which grew reproducibly as subcutaneous tumors in nude mice, was isolated. Such cells, when engineered to generate nitric oxide (NO) continuously, grew more slowly in vitro than the wild-type parental cells. This growth retardation was reversed by the addition of N-iminoethyl-L-ornithine. In nude mice, however, the tumors from these cells grew faster than those derived from wild-type cells and were markedly more vascularized, suggesting that NO may act as part of a signaling cascade for neovascularization. Recent observations that the generation of NO in human breast and gynecological cancers correlates positively with tumor grade are consistent with this hypothesis. We suggest that NO may have a dual pro- and antitumor action, depending on the local concentration of the molecule.

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Type 1 diabetes mellitus is caused by severe insulin deficiency secondary to the autoimmune destruction of pancreatic beta cells. Patients need to be controlled by periodic insulin injections to prevent the development of ketoacidosis, which can be fatal. Sustained, low-level expression of the rat insulin 1 gene from the liver of severely diabetic rats was achieved by in vivo administration of a recombinant retroviral vector. Ketoacidosis was prevented and the treated animals exhibited normoglycemia during a 24-hr fast, with no evidence of hypoglycemia. Histopathological examination of the liver in the treated animals showed no apparent abnormalities. Thus, the liver is an excellent target organ for ectopic expression of the insulin gene as a potential treatment modality for type 1 diabetes mellitus by gene therapy.

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Neste trabalho, foi utilizado o método de deposição assistida por feixe de íons (IBAD na sigla em inglês) para produção de filmes finos de nitreto de índio em substratos de silício (111) e Safira-C. Variando as condições de deposição e utlilizando a técnica de difração de raios-X, investigou-se com o intuito de obter os parâmetros que resultam em filmes finos com melhor grau de cristalinidade. Os filmes produzidos a 380C apresentaram alta cristalinidade, superior àqueles a 250C. Temperaturas muito superiores a 380C não ocasionam a formação de filme cristalino de InN, como foi observado ao utilizar a temperatura de 480C; o mesmo se observa ao utilizar temperatura ambiente. Na temperatura considerada adequada ,de 380C, obteve-se que a utilização de Ra, ou seja, a razão de fluxo de partículas entre o nitrogênio e índio, em torno de 2,3 permite obter um melhor grau de cristalinização, o qual decresce conforme se diverge desse valor. A comparação entre difratogramas de amostras produzidas com e sem a evaporação prévia de titânio, o qual é possível observar um deslocamento dos picos do InN, indicam que o efeito Gettering permite a redução de impurezas no filme, principalmente de oxigênio. Utilizou-se a técnica de Retroespalhamento de Rutherford para obtenção da composição dos elementos e o perfil de profundidade. Notou-se uma forte mistura dos elementos do substrato de silício e safira com o nitreto de índio mesmo próximos a superfície. A presença indesejável de impurezas, principalmente o oxigênio, durante a deposição de filmes finos é praticamente inevitável. Desta forma, cálculos ab initio baseados na Teoria do Funcional da Densidade (DFT) foram realizados para investigar defeitos isolados e complexos de oxigênio no nitreto de índio e a sua influência nas propriedades óticas. Considerou-se diferentes concentrações de oxigênio (x=2,76, 8,32, 11,11 e 22,22%) aplicando-se o método PBEsolGGA e TB-mBJ para o tratamento da energia e potencial de troca e correlação. Obteve-se que é energeticamente favorável o oxigênio existir principalmente como defeito carregado e isolado. Os resultados utilizando a aproximação de TB-mBJ indicam um estreitamento do bandgap conforme a concentração de oxigênio aumenta. Entretanto, a alta contribuição do efeito de Moss-Burstein resulta num efetivo alargamento do band gap, gerando valores de band gap ótico maiores que no do bulk de nitreto de índio.

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La costra biológica del suelo (CBS) es un componente complejo del ecosistema que engloba diferentes organismos (líquenes, musgos, hepáticas, cianobacterias, hongos, algas) presentes en las primeras capas de suelo. La CBS se encuentra en una amplia variedad de ecosistemas, aunque generalmente es más abundante en ecosistemas donde la cobertura de plantas vasculares es escasa, como los ecosistemas áridos. En estos ecosistemas, la CBS contribuye considerablemente a su biodiversidad y funcionamiento. Debido a la gran dificultad para la identificación de especies de estas comunidades, la mayoría de la investigación sobre la CBS se ha desarrollado a escala de comunidad y grupo morfológico. A este nivel, se ha podido observar el gran potencial de estas comunidades de contribuir a la estructura y dinámica del ecosistema: interaccionan con las primeras capas del suelo y con otros organismos, participan en la fijación de carbono y nitrógeno, así como en procesos hidrológicos y en el ciclo de nutrientes. Sin embargo, avances recientes en el conocimiento de la CBS arrojan interesantes y marcadas diferencias en la ecología y el papel funcional de las distintas especies que la componen, con las consecuentes implicaciones en la gestión y conservación de estas comunidades y de los ecosistemas que habitan. En particular, se han observado respuestas específicas en términos de presencia, abundancia y frecuencia ante diversos factores ambientales (variables climáticas, tipo de sustrato, presencia de plantas vasculares y perturbación por pastoreo – recuperación natural), así como un efecto a nivel de especie sobre las propiedades del suelo.

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The Nachtigall clay pit near Holzminden, northern Germany, is located in a subrosional basin filled with 43 m of interglacial, interstadial and stadial deposits adjacent to the Weser River. The succession separates the Older Middle Terrace from the Younger Middle Terrace of the Weser River. Nachtigall core KB1 (1998) mainly contains silt and clay with intercalated peat layers. The layers of fen peat and intercalated humic silt are between 36 and 22.5 m depth. According to palynological studies, the peat layers and some humic silts were deposited during interglacial and interstadial periods marked by forest vegetation, termed Nachtigall 1 and Nachtigall 2. They are subdivided by a stadial, termed Albaxen. The peat of Nachtigall 1 is interrupted twice by silt and clay strata (Allochthonous Unit I, II) which are reworked sediments of older glacial periods, possibly of late Elsterian or early Holsteinian age. The palynological sequences of Nachtigall and Göttingen/Ottostrasse show the same pattern. Moreover, the contemporaneous pollen profiles of Nachtigall and Göttingen/Ottostrasse can be compared with the Velay pollen sequence (France). The Nachtigall core section 36-26.02 m corresponds to Bouchet 2 - Bonnefond - Bouchet 3 in Velay. The profiles of Velay and Nachtigall are independently correlated to the MIS-timescale and correspond to MIS 7c, 7b, and 7a. TIMS 230Th/U-dating shows ages ranging from 227 + 9/-8 to 201 + 15/-13 ka, which are in good agreement with the inferred MIS 7 age.

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Question: How do interactions between the physical environment and biotic properties of vegetation influence the formation of small patterned-ground features along the Arctic bioclimate gradient? Location: At 68° to 78°N: six locations along the Dalton Highway in arctic Alaska and three in Canada (Banks Island, Prince Patrick Island and Ellef Ringnes Island). Methods: We analysed floristic and structural vegetation, biomass and abiotic data (soil chemical and physical parameters, the n-factor [a soil thermal index] and spectral information [NDVI, LAI]) on 147 microhabitat releves of zonalpatterned-ground features. Using mapping, table analysis (JUICE) and ordination techniques (NMDS). Results: Table analysis using JUICE and the phi-coefficient to identify diagnostic species revealed clear groups of diagnostic plant taxa in four of the five zonal vegetation complexes. Plant communities and zonal complexes were generally well separated in the NMDS ordination. The Alaska and Canada communities were spatially separated in the ordination because of different glacial histories and location in separate floristic provinces, but there was no single controlling environmental gradient. Vegetation structure, particularly that of bryophytes and total biomass, strongly affected thermal properties of the soils. Patterned-ground complexes with the largest thermal differential between the patterned-ground features and the surrounding vegetation exhibited the clearest patterned-ground morphologies.

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The mineralogical compositions of 119 samples collected from throughout the San Francisco Bay coastal system, including bayfloor and seafloor, area beaches, cliff outcrops, and major drainages, were determined using X-ray diffraction (XRD). Comparison of the mineral concentrations and application of statistical cluster analysis of XRD spectra allowed for the determination of provenances and transport pathways. The use of XRD mineral identifications provides semi-quantitative compositions needed for comparisons of beach and offshore sands with potential cliff and river sources, but the innovative cluster analysis of XRD diffraction spectra provides a unique visualization of how groups of samples within the San Francisco Bay coastal system are related so that sand-sized sediment transport pathways can be inferred. The main vector for sediment transport as defined by the XRD analysis is from San Francisco Bay to the outer coast, where the sand then accumulates on the ebb tidal delta and also moves alongshore. This mineralogical link defines a critical pathway because large volumes of sediment have been removed from the Bay over the last century via channel dredging, aggregate mining, and borrow pit mining, with comparable volumes of erosion from the ebb tidal delta over the same period, in addition to high rates of shoreline retreat along the adjacent, open-coast beaches. Therefore, while previously only a temporal relationship was established, the transport pathway defined by mineralogical and geochemical tracers support the link between anthropogenic activities in the Bay and widespread erosion outside the Bay. The XRD results also establish the regional and local importance of sediment derived from cliff erosion, as well as both proximal and distal fluvial sources. This research is an important contribution to a broader provenance study aimed at identifying the driving forces for widespread geomorphic change in a heavily urbanized coastal-estuarine system.

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High-latitude ecosystems store large amounts of carbon (C); however, the C storage of these ecosystems is under threat from both climate warming and increased levels of herbivory. In this study we examined the combined role of herbivores and climate warming as. drivers of CO2 fluxes in two typical high-latitude habitats (mesic heath and wet meadow). We hypothesized that both herbivory and climate warming would reduce the C sink strength of Arctic tundra through their combined effects on plant biomass and gross ecosystem photosynthesis and on decomposition rates and the abiotic environment. To test this hypothesis we employed experimental warming (via International Tundra Experiment [ITEX] chambers) and grazing (via captive Barnacle Geese) in a three-year factorial field experiment. Ecosystem CO2 fluxes (net ecosystem exchange of CO2, ecosystem respiration, and gross ecosystem photosynthesis) were measured in all treatments at varying intensity over the three growing seasons to capture the impact of the treatments on a range of temporal scales (diurnal, seasonal, and interannual). Grazing and warming treatments had markedly different effects on CO2 fluxes in the two tundra habitats. Grazing caused a strong reduction in CO2 assimilation in the wet meadow, while warming reduced CO2 efflux from the mesic heath. Treatment effects on net ecosystem exchange largely derived from the modification of gross ecosystem photosynthesis rather than ecosystem respiration. In this study we have demonstrated that on the habitat scale, grazing by geese is a strong driver of net ecosystem exchange of CO2, with the potential to reduce the CO2 sink strength of Arctic ecosystems. Our results highlight that the large reduction in plant biomass due to goose grazing in the Arctic noted in several studies can alter the C balance of wet tundra ecosystems. We conclude that herbivory will modulate direct climate warming responses of Arctic tundra with implications for the ecosystem C balance; however, the magnitude and direction of the response will be habitat-specific.

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Back Row: Asst. coaches Bob Thornbladh, Tom Reed, Jerry Hanlon, Tirrel Burton, Tim Davis, Bill McCartney, Jack Harbaugh, Paul Schudel, Dennis Brown, Don Nehlen, Barry Pierson, Jerry Zuver, Eqp. Mgr. Jon Falk, Trainer Lindsy McLean

8th Row: Marcus Bond, Chuck Christian, Greg Wunderli, Kurt Becker, Tony Osbun, Dan Kwiatkowski, Tom Wandersleben, Fred Motley, Andy Cannavino, Mike Kligis, Jim Breaugh, Oliver Johnson

7th Row: Kirk Yearian, B.J. Dickey, Alan Mitchell, Rodney Feaster, Stanley Edwards, Mike Trgovac, Dave Nicolau, Jeff Jackson, Neal Ginley, Kelley Keough, John Prepolec, Ben Needham, Stuart Harris, Rick Jones

6th Row: Derek Williams, Tony Woodford, Jay Allen, James Humphries, David Payne, Tom Keller, Ron Pratl, Rich Novak, David Angood, Craig Page, Dan Murray, Thomas Moss, Larry Jones, Brian Virgil

5th Row: Roger Gaudette, Virgil Williams, Gerald Diggs, Gene Bell, Dave Kadela, Gary Quinn, Ralph Clayton, Chuck Hetts, Mel Owens, Gary Weber, John Wangler, Keith Gilmore, Irvin Johnson, Tony Leoni, Jim Kozlowski

4th Row: Sr. Mgr. Don DiPaolo, Nick Labun, Mike Harden, Michael Davis, Lawrence Reid, Mike Jolly, John Powers, Chris Godfrey, Jeff Bednarek, George Lilja, Mike Leoni, Doug Marsh, Ron Simpkins, Roosevelt Smith, Gregg Willner, Tim Malinak

3rd Row: Ed Kasparek, Mark Braman, Bob Patek, Stacy Johnson, Dale Keitz, John Arbeznik, Curtis Greer, Jon Giesler, Chip Pederson, Mark DeSantis, Mark Torzy, Rock Lindsay, William Jackson, Bob Hollway, Tom Melita

2nd Row: Max Richardson, Curt Stephenson, Derek Howard, Steve Graves, John Anderson, Bill Dufek, Mark Donahue, Co-captain Walt Downing, Garry Szara, Mike Kenn, Rick White, Dominic Tedesco, Jim Pickens, Kevin King, Co-captain Dwight Hicks, Head Coach Bo Schembechler

Front Row: Raymond Johnson, Roger Bettis, Mike Smith, Russell Davis, Tom Seabron, Gene Johnson, Steve Nauta, Rex Mackall, Greg Bartnick, Dave Harding, Mark Schmerge, Jerry Meter, Rick Leach, Harlan Huckleby, Woody Brown

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Back Row: Coaches Bob Patek, Jerry Zuver, Mike Gittleson, Milan Vooletich, Dennis Brown, Jack Harbaugh, Bill McCartney, Jerry Hanlon, Don Nehlen, Tirrel Burton, Paul Schudel, Bob Thornbladh, Barry Pierson, Mike Smith, Curt Stephenson, Trainer Lindsy McLean, Eqp. Mgr. Jon Falk.

9th Row: Kevin Smith, Doug Agnew, * , Mike Butts, Steve Zarnata, Brad Fischer, Kevin Gilligan, * , Karl Tech, Jerome Jelinek, Bill Welch, * , Vince Shaw, Mgr. Nick Uriah

8th Row: Marion Body, Dave Brewster, Rich Strenger, Sanford Washington, Steve Reilly, Tom Neal, Norm Betts, Mike Petsch, Mike Lemirande, Gary Snell, Jeff Reeves, Tony Jackson, Jeff Felten, Tony Kelsie

7th Row: Mike Webster, Butch Woolfolk, Cedric Coles, Bubba Paris, Chuck Rowland, Ed Muransky, Mark Warth, Tom Garrity, Robert Thompson, Jim Paciorek, Gary Lee, Zeke Wallace, Brian Carpenter, John Sandberg

6th Row: Tom Moss, Tim Carrier, Jay Allen, Jim Breaugh, Larry Jones, David Angood, Tom Wandersleben, Fred Motley, Dave Payne, Rod Vaughn, Gasper Calindrino, Kevin Long, Bryan Virgil, *

5th Row: Brad Bates, Irvin Johnson, Kelly Keough, Tom Keller, Rick Novak, Ben Needham, Oliver Johnson, Jeff Jackson, Dan Kwiatkowski, John Prepolec, Greg Wunderli, Kurt Becker, Tony Osbun, Mike Kligis, Chuck Christian

4th Row: Craig Page, B.J. Dickey, Rodney Peaster, Dan Murray, Andy Cannavino, Dave Nicolau, Stanley Edwards, Michael Davis, Mike Trgovac, Stuart Harris, Roger Gaudette, Jim Kozlowski, Alan Mitchell, Rick Jones, Head Coach Bo Schembechler

3rd Row: Gerald Diggs, Tony Leoni, Roosevelt Smith, Gary Weber, Lawrence Reid, Mel Owens, George Lilja, John Powers, Chris Godfrey, John Wangler, Gene Bell, Michael Harden, Mike Leoni, Gary Quinn, Jim Humphries

2nd Row: Gregg Willner, William Jackson, Mike Jolly, Ralph Clayton, Chip Pederson, Rock Lindsay, John Arbeznik, Ron Simpkins, Doug Marsh, Dale Keitz, Tom Melita, Mark Torzy, Tim Malinak, Ed Kasparek, Chuck Netts

Front Row: Mark Braman, Mark DeSantis, Mark Schmerge, Curtis Greer, Greg Bartnick, Harlan Huckleby, Co-Captain Russell Davis, Bill Dufek, Rick Leach, Co-Captain Jerry Meter, Gene Johnson, Jon Giesler, Tom Seabron, Steve Nauta, Bob Hollway

* = left the team