Multi-parameter phenotypic profiling: using cellular effects to characterize small-molecule compounds

被引:212
作者
Feng, Yan [1 ]
Mitchison, Timothy J. [2 ]
Bender, Andreas [3 ]
Young, Daniel W. [4 ]
Tallarico, John A. [1 ,5 ]
机构
[1] Novartis Inst Biomed Res, Dev & Mol Pathways, Cambridge, MA 02139 USA
[2] Harvard Univ, Sch Med, Dept Syst Biol, Boston, MA 02115 USA
[3] Leiden Univ, Leiden Amsterdam Ctr Drug Res, Div Med Chem, NL-2333 CC Leiden, Netherlands
[4] Wolf Greenfield & Sacks, Boston, MA 02210 USA
[5] Novartis Inst Biomed Res, Global Discovery Chem, Cambridge, MA 02139 USA
关键词
HIGH-THROUGHPUT; FLOW-CYTOMETRY; TARGET; PREDICTION; DISCOVERY; IDENTIFICATION; DIFFERENTIATION; CLASSIFICATION; INHIBITORS; INNOVATION;
D O I
10.1038/nrd2876
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Multi-parameter phenotypic profiling of small molecules provides important insights into their mechanisms of action, as well as a systems level understanding of biological pathways and their responses to small molecule treatments. It therefore deserves more attention at an early step in the drug discovery pipeline. Here, we summarize the technologies that are currently in use for phenotypic profiling -including mRNA-, protein-and imaging-based multi-parameter profiling -in the drug discovery context. We think that an earlier integration of phenotypic profiling technologies, combined with effective experimental and in silico target identification approaches, can improve success rates of lead selection and optimization in the drug discovery process.
引用
收藏
页码:567 / 578
页数:12
相关论文
共 82 条
[51]  
Nolan G.P., 2006, Hematology Am Soc Hematol Educ Program, V123-127, P509
[52]   What's wrong with drug screening today [J].
Nolan, Garry P. .
NATURE CHEMICAL BIOLOGY, 2007, 3 (04) :187-191
[53]   A method for high-throughput gene expression signature analysis [J].
Peck, David ;
D Crawford, Emily ;
Ross, Kenneth N. ;
Stegmaier, Kimberly ;
Golub, Todd R. ;
Lamb, Justin .
GENOME BIOLOGY, 2006, 7 (07)
[54]   Multidimensional drug profiling by automated microscopy [J].
Perlman, ZE ;
Slack, MD ;
Feng, Y ;
Mitchison, TJ ;
Wu, LF ;
Altschuler, SJ .
SCIENCE, 2004, 306 (5699) :1194-1198
[55]   INTERACTION WITH BASEMENT-MEMBRANE SERVES TO RAPIDLY DISTINGUISH GROWTH AND DIFFERENTIATION PATTERN OF NORMAL AND MALIGNANT HUMAN BREAST EPITHELIAL-CELLS [J].
PETERSEN, OW ;
RONNOVJESSEN, L ;
HOWLETT, AR ;
BISSELL, MJ .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1992, 89 (19) :9064-9068
[56]   Fishing the Target of Antitubercular Compounds: In Silico Target Deconvolution Model Development and Validation [J].
Prathipati, Philip ;
Ma, Ngai Ling ;
Manjunatha, Ujjini H. ;
Bender, Andreas .
JOURNAL OF PROTEOME RESEARCH, 2009, 8 (06) :2788-2798
[57]   Automatic real-time three-dimensional cell tracking by fluorescence microscopy [J].
Rabut, G ;
Ellenberg, J .
JOURNAL OF MICROSCOPY, 2004, 216 :131-137
[58]   Whole genome functional analysis identifies novel components required for mitotic spindle integrity in human cells [J].
Rines, Daniel R. ;
Gomez-Ferreria, Maria Ana ;
Zhou, Yingyao ;
DeJesus, Paul ;
Grob, Seanna ;
Batalov, Serge ;
Labow, Marc ;
Huesken, Dieter ;
Mickanin, Craig ;
Hall, Jonathan ;
Reinhardt, Mischa ;
Natt, Francois ;
Lange, Joerg ;
Sharp, David J. ;
Chanda, Sumit K. ;
Caldwell, Jeremy S. .
GENOME BIOLOGY, 2008, 9 (02)
[59]   Genome-scale loss-of-function screening with a lentiviral RNAi library [J].
Root, David E. ;
Hacohen, Nir ;
Hahn, William C. ;
Lander, Eric S. ;
Sabatini, David M. .
NATURE METHODS, 2006, 3 (09) :715-719
[60]   Causal protein-signaling networks derived from multiparameter single-cell data [J].
Sachs, K ;
Perez, O ;
Pe'er, D ;
Lauffenburger, DA ;
Nolan, GP .
SCIENCE, 2005, 308 (5721) :523-529