Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Guillaume Muhlebach"'
Autor:
Thomas Floss, Evangelia Vartholomaiou, Didier Picard, Marta Madon-Simon, Guillaume Muhlebach, Wolfgang Wurst, Stéphane Hagmann
Publikováno v:
Oncotarget
Oncotarget, Vol. 8 (2017) pp. 17428-17442
OncoTarget 8(11), 17428-17442 (2017). doi:10.18632/oncotarget.15659
Oncotarget 8, 17428-17442 (2017)
Oncotarget, Vol. 8 (2017) pp. 17428-17442
OncoTarget 8(11), 17428-17442 (2017). doi:10.18632/oncotarget.15659
Oncotarget 8, 17428-17442 (2017)
// Evangelia Vartholomaiou 1,* , Marta Madon-Simon 1,* , Stephane Hagmann 1 , Guillaume Muhlebach 1 , Wolfgang Wurst 2,3,4,5 , Thomas Floss 2 and Didier Picard 1 1 Departement de Biologie Cellulaire, Universite de Geneve, Sciences III, Geneve, Switze
Autor:
Carole Sourbier, Robert P. Mohney, Manabu Tatokoro, Fumitaka Koga, Hisashi Hasumi, Ken Nakamura, Kristin Beebe, Naoto Miyajima, Leonard M. Neckers, Wanping Xu, Didier Picard, Soichiro Yoshida, Hiroshi Fukushima, Jane B. Trepel, Min-Jung Lee, Guillaume Muhlebach, Sunmin Lee, Evangelia Vartholomaiou, Yang Chen, Kazunori Kihara, Shinji Tsutsumi
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, vol 110, iss 17
Proceedings of the National Academy of Sciences, Vol. 110, No 17 (2013) pp. E1604-12
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences, Vol. 110, No 17 (2013) pp. E1604-12
Proceedings of the National Academy of Sciences of the United States of America
TRAP1 (TNF receptor-associated protein), a member of the HSP90 chaperone family, is found predominantly in mitochondria. TRAP1 is broadly considered to be an anticancer molecular target. However, current inhibitors cannot distinguish between HSP90 an
Autor:
Didier Picard, Pablo Christian Echeverria, Fedor Forafonov, Deo Prakash Pandey, Guillaume Muhlebach
Publikováno v:
BioData Mining, Vol 4, Iss 1, p 15 (2011)
BioData mining
BioData Mining, Vol. 4, No 1 (2011) P. 15p.
BioData Mining
BioData mining
BioData Mining, Vol. 4, No 1 (2011) P. 15p.
BioData Mining
Background To make sense out of gene expression profiles, such analyses must be pushed beyond the mere listing of affected genes. For example, if a group of genes persistently display similar changes in expression levels under particular experimental