Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jan Seldin"'
Autor:
Virneliz Fernandez-Vega, Shurong Hou, Dennis Plenker, Hervé Tiriac, Pierre Baillargeon, Justin Shumate, Louis Scampavia, Jan Seldin, Glauco R. Souza, David A. Tuveson, Timothy P. Spicer
Publikováno v:
SLAS Discovery, Vol 27, Iss 3, Pp 159-166 (2022)
Recent technological advances have enabled 3D tissue culture models for fast and affordable HTS. We are no longer bound to 2D models for anti-cancer agent discovery, and it is clear that 3D tumor models provide more predictive data for translation of
Externí odkaz:
https://doaj.org/article/dd3207bcac4340e9bc086866d293919b
Autor:
Spicer, Robin G. Rajan, Virneliz Fernandez-Vega, Jantzen Sperry, Jonathan Nakashima, Long H. Do, Warren Andrews, Simina Boca, Rezwanul Islam, Sajeel A. Chowdhary, Jan Seldin, Glauco R. Souza, Louis Scampavia, Khalid A. Hanafy, Frank D. Vrionis, Timothy P.
Publikováno v:
Cancers; Volume 15; Issue 13; Pages: 3289
Background: Genomic profiling cannot solely predict the complexity of how tumor cells behave in their in vivo microenvironment and their susceptibility to therapies. The aim of the study was to establish a functional drug prediction model utilizing p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::b9dbf028bbb3d90fef5d3ffe49d94bc6
Autor:
Peter Horvath, Judi Wardwell-Swanson, Daniel V. LaBarbera, Mark E Rothenberg, Serena J. Silver, Melissa G. Mendez, Evan Easton, Kaylene J. Simpson, Carrie J. Lovitt, Myles Fennell, Jan Seldin, Ann F. Hoffman
Publikováno v:
ASSAY and Drug Development Technologies. 15:1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2643ff0be83686e853bc5bc17974406
https://doi.org/10.1089/adt.2016.29054.afh
https://doi.org/10.1089/adt.2016.29054.afh
Autor:
Jan Seldin, BanuPriya Sridharan, Louis Scampavia, Donald Watson, David A. Tuveson, Glauco R. Souza, Franck Madoux, Shurong Hou, Timothy P. Spicer, Hervé Tiriac
Publikováno v:
SLAS discovery : advancing life sciences RD. 23(6)
Traditional high-throughput drug screening in oncology routinely relies on two-dimensional (2D) cell models, which inadequately recapitulate the physiologic context of cancer. Three-dimensional (3D) cell models are thought to better mimic the complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c92f4ccaa6e57105050bb38e1b4ea2c4
https://pubmed.ncbi.nlm.nih.gov/29673279
https://pubmed.ncbi.nlm.nih.gov/29673279