Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Michael J. Maria"'
Autor:
Scott R. Daigle, Kathrin M. Bernt, Stephen J. Blakemore, Robert A. Copeland, Jesse J. Smith, Roy M. Pollock, Edward J. Olhava, Nigel J. Waters, Taylor Yamauchi, Michael J. Maria, Ty M. Thomson, David A. Drubin, Jessica N. Haladyna, Carly T. Campbell
Contains the mechanism footprint gene list referenced by supplemental Table S3.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3b27a0f3e74bce3707a37643b0d7252
https://doi.org/10.1158/1535-7163.22508665.v1
https://doi.org/10.1158/1535-7163.22508665.v1
Autor:
Scott R. Daigle, Kathrin M. Bernt, Stephen J. Blakemore, Robert A. Copeland, Jesse J. Smith, Roy M. Pollock, Edward J. Olhava, Nigel J. Waters, Taylor Yamauchi, Michael J. Maria, Ty M. Thomson, David A. Drubin, Jessica N. Haladyna, Carly T. Campbell
Contains supplemental methods, figures, and tables 1, 2, 3, and 5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01e37128c2af18c9c04b6058c16e62d2
https://doi.org/10.1158/1535-7163.22508668
https://doi.org/10.1158/1535-7163.22508668
Autor:
Scott R. Daigle, Kathrin M. Bernt, Stephen J. Blakemore, Robert A. Copeland, Jesse J. Smith, Roy M. Pollock, Edward J. Olhava, Nigel J. Waters, Taylor Yamauchi, Michael J. Maria, Ty M. Thomson, David A. Drubin, Jessica N. Haladyna, Carly T. Campbell
Contains all pathways altered in NOMO-1 resistance identified by analysis with KEGG, GO - Biological Process, and MSigDB databases.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b453d4637f5db7e35f239ad2de2f6e28
https://doi.org/10.1158/1535-7163.22508662.v1
https://doi.org/10.1158/1535-7163.22508662.v1
Autor:
Edward J. Olhava, Nigel J. Waters, J. Joshua Smith, David A. Drubin, Kathrin M. Bernt, Jessica Haladyna, Taylor Yamauchi, Roy M. Pollock, Carly T. Campbell, Timothy M. Thomson, Stephen J. Blakemore, Robert A. Copeland, Michael J. Maria, Scott R. Daigle
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
DOT1L is a protein methyltransferase involved in the development and maintenance of MLL-rearranged (MLL-r) leukemia through its ectopic methylation of histones associated with well-characterized leukemic genes. Pinometostat (EPZ-5676), a selective in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::491811da5d2182c90ac4d61fbdfb59f0
http://hdl.handle.net/10261/174363
http://hdl.handle.net/10261/174363
Autor:
Carly T, Campbell, Jessica N, Haladyna, David A, Drubin, Ty M, Thomson, Michael J, Maria, Taylor, Yamauchi, Nigel J, Waters, Edward J, Olhava, Roy M, Pollock, Jesse J, Smith, Robert A, Copeland, Stephen J, Blakemore, Kathrin M, Bernt, Scott R, Daigle
Publikováno v:
Molecular cancer therapeutics. 16(8)
DOT1L is a protein methyltransferase involved in the development and maintenance of
Autor:
Brad Patay, Andrew Carson, Ty M. Thomson, Christine Klaus, Jeff Keats, Alejandra Raimondi, Stephen J. Blakemore, David A. Drubin, Guillermo Garcia-Manero, Alice McDonald, Scott R. Daigle, David A. Rizzieri, Jesus G. Berdeja, Blythe Thomson, Raoul Tibes, Michael J. Maria, Eytan M. Stein
Publikováno v:
Molecular Cancer Therapeutics. 14:C12-C12
Pinometostat is a highly selective first in class DOT1L inhibitor currently in Phase 1 clinical trials in adult and pediatric leukemia patients (pts) with MLL rearrangements (MLL-r or MLL-PTD). Preliminary results of the adult trial have demonstrated
Autor:
Carole Mathis, Natalie L. Catlett, Marja Talikka, Benjamin Wong, Julia Hoeng, Andrea L. Matthews, Jurjen W. Westra, Arnd Hengstermann, Sean Eddy, Stephan Gebel, Michael J. Maria, Renée Deehan, Emilija Veljkovic, Wanjiang Han, Rosemarie B. Lichtner, Manuel C. Peitsch, Brian P. Frushour, Aaron A. Van Hooser, Carine Poussin, Walter K. Schlage
Publikováno v:
BMC Systems Biology, Vol 5, Iss 1, p 105 (2011)
BMC Systems Biology
BMC Systems Biology
Background Critical to advancing the systems-level evaluation of complex biological processes is the development of comprehensive networks and computational methods to apply to the analysis of systems biology data (transcriptomics, proteomics/phospho