Books on the topic 'Voie des MAP kinases'

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1

Komis, George, and Jozef Šamaj, eds. Plant MAP Kinases. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0922-3.

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2

Hirt, Heribert, ed. MAP Kinases in Plant Signal Transduction. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-49166-8.

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3

1956-, Hirt Heribert, ed. MAP kinases in plant signal transduction. Berlin: Springer, 2000.

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4

Francesc, Posas, and Nebreda Angel R, eds. Stress-activated protein kinases. New York: Springer, 2008.

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5

Stevens, Ken. Characterization of two novel substrates of the mating pheromone map kinases in the budding yeast saccharomyces cervisiae. Ottawa: National Library of Canada, 1996.

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6

Hirt, Heribert. Map Kinases in Plant Signal Transduction. Springer, 2012.

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7

Map Kinases in Plant Signal Transduction. Island Press, 1999.

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8

Plant MAP kinases: Methods and protocols. New York: Humana Press, 2014.

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9

Hirt, Heribert. MAP Kinases in Plant Signal Transduction. Springer London, Limited, 2012.

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10

Amaj, Jozef, and George Komis. Plant Map Kinases: Methods and Protocols. Springer New York, 2016.

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11

Posas, Francesc, and Angel R. Nebreda. Stress-Activated Protein Kinases. Springer London, Limited, 2008.

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12

MAP Kinase Signaling Protocols. Humana Press, 2004.

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13

Hirt, Heribert. MAP Kinases in Plant Signal Transduction (Results and Problems in Cell Differentiation). Springer, 1999.

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14

Böhm, Christina. Mitogen-activated protein kinases function in arthritis: ˜Dieœ Funktion von Mitogen-aktivierten Proteinkinasen in der Arthritis. 2011.

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15

Arthur, J. Simon C. MSKs. Taylor & Francis Group, 2013.

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16

Elowe, Sabine. Regulation of the ERK MAP kinase cascade by the Eph family of receptor tyrosine kinases. 2005.

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17

MAP kinase signaling protocols. 2nd ed. New York, N.Y: Humana Press, 2010.

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18

MAP Kinase Signaling Protocols. Humana Press, 2004.

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19

Seger, Rony. MAP Kinase Signaling Protocols. Humana Press, 2016.

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20

MAP Kinase Signaling Protocols. Humana Press, 2010.

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21

Nackoney, Janet, Jena Hickey, David Williams, Charly Facheux, Takeshi Furuichi, and Jef Dupain. Geospatial information informs bonobo conservation efforts. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198728511.003.0017.

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The endangered bonobo (Pan paniscus), endemic to the Democratic Republic of Congo (DRC), is threatened by hunting and habitat loss. Two recent wars and ongoing conflicts in the DRC greatly challenge conservation efforts. This chapter demonstrates how spatial data and maps are used for monitoring threats and prioritizing locations to safeguard bonobo habitat, including identifying areas of highest conservation value to bonobos and collaboratively mapping community-based natural resource management (CBNRM) zones for reducing deforestation in key corridor areas. We also highlight the development of a range-wide model that analysed a variety of biotic and abiotic variables in conjunction with bonobo nest data to map suitable habitat. Approximately 28 per cent of the range was predicted suitable; of that, about 27.5 per cent was located in official protected areas. These examples highlight the importance of employing spatial data and models to support the development of dynamic conservation strategies that will help strengthen bonobo protection. Le bonobo en voie de disparition (Pan paniscus), endémique à la République Démocratique du Congo (DRC), est menacé par la chasse et la perte de l’habitat. Deux guerres récentes et les conflits en cours dans le DRC menacent les efforts de conservation. Ici, nous montrons comment les données spatiales et les cartes sont utilisées pour surveiller les menaces et prioriser les espaces pour protéger l’habitat bonobo, inclut identifier les zones de plus haute valeur de conservation aux bonobos. En plus, la déforestation est réduite par une cartographie collaborative communale de gestion de ressources dans les zones de couloirs essentiels. Nous soulignons le développement d’un modèle de toute la gamme qui a analysé un variété de variables biotiques et abiotiques en conjonction avec les données de nid bonobo pour tracer la carte d’un habitat adéquat. Environ 28 per cent de la gamme est prédit adéquat; de cela, environ 27.5 per cent est dans une zone officiellement protégée. Ces exemples soulignent l’importance d’utiliser les données spatiales et les modèles pour soutenir le développement de stratégies de conservations dynamiques qui aideront à renforcer la protection des bonobos.
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