Literature DB >> 15090253

Advances in high content screening for drug discovery.

Kenneth A Giuliano1, Jeffrey R Haskins, D Lansing Taylor.   

Abstract

Cell-based target validation, secondary screening, lead optimization, and structure-activity relationships have been recast with the advent of HCS. Prior to HCS, a computational approach to the characterization of the functions of specific target proteins and other cellular constituents, along with whole-cell functions employing fluorescence cell-based assays and microscopy, required extensive interaction among the researcher, instrumentation, and software tools. Early HCS platforms were instrument-centric and addressed the need to interface fully automated fluorescence microscopy, plate-handling automation, and seamless image analysis. HCS has since evolved into an integrated solution for accelerated drug discovery by encompassing the workflow components of assay and reagent design, robust instrumentation for automated fixed-end-point and live cell kinetic analysis, generalized and specific BioApplication software (Cellomics, Pittsburgh, PA) modules that produce information on drug responses from cell image data, and informatics/bioinformatics solutions that build knowledge from this information while providing a means to globalize HCS throughout an entire organization. This review communicates how these recent advances are incorporated into the drug discovery workflow by presenting a real-world use case.

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Mesh:

Year:  2003        PMID: 15090253     DOI: 10.1089/154065803322302826

Source DB:  PubMed          Journal:  Assay Drug Dev Technol        ISSN: 1540-658X            Impact factor:   1.738


  32 in total

Review 1.  A high-content screening assay in transgenic zebrafish identifies two novel activators of fgf signaling.

Authors:  Manush Saydmohammed; Laura L Vollmer; Ezenwa Obi Onuoha; Andreas Vogt; Michael Tsang
Journal:  Birth Defects Res C Embryo Today       Date:  2011-09

2.  A high content drug screen identifies ursolic acid as an inhibitor of amyloid beta protein interactions with its receptor CD36.

Authors:  Kim Wilkinson; Justin D Boyd; Marcie Glicksman; Kathryn J Moore; Joseph El Khoury
Journal:  J Biol Chem       Date:  2011-08-11       Impact factor: 5.157

3.  A metric and workflow for quality control in the analysis of heterogeneity in phenotypic profiles and screens.

Authors:  Albert Gough; Tong Ying Shun; D Lansing Taylor; Mark Schurdak
Journal:  Methods       Date:  2015-11-04       Impact factor: 3.608

4.  Disruptive visions: predictive simulation--between scientific method and clinical trial is the role of modeling and simulation in scientific discovery and validation.

Authors:  R M Satava
Journal:  Surg Endosc       Date:  2004-09       Impact factor: 4.584

Review 5.  A cheminformatic toolkit for mining biomedical knowledge.

Authors:  Gus R Rosania; Gordon Crippen; Peter Woolf; David States; Kerby Shedden
Journal:  Pharm Res       Date:  2007-03-24       Impact factor: 4.200

Review 6.  Multi-parameter phenotypic profiling: using cellular effects to characterize small-molecule compounds.

Authors:  Yan Feng; Timothy J Mitchison; Andreas Bender; Daniel W Young; John A Tallarico
Journal:  Nat Rev Drug Discov       Date:  2009-07       Impact factor: 84.694

7.  Microengineering methods for cell-based microarrays and high-throughput drug-screening applications.

Authors:  Feng Xu; JinHui Wu; ShuQi Wang; Naside Gozde Durmus; Umut Atakan Gurkan; Utkan Demirci
Journal:  Biofabrication       Date:  2011-07-01       Impact factor: 9.954

8.  Prospecting for Live Cell BioImaging Probes With Cheminformatic Assisted Image Arrays (CAIA).

Authors:  Kerby Shedden; Maria M Posada; Young Tae Chang; Qian Li; Gus Rosania
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2007

Review 9.  Fluorescent protein biosensors applied to microphysiological systems.

Authors:  Nina Senutovitch; Lawrence Vernetti; Robert Boltz; Richard DeBiasio; Albert Gough; D Lansing Taylor
Journal:  Exp Biol Med (Maywood)       Date:  2015-05-19

10.  Chemotherapeutic drugs and human tumor cells cytokine network.

Authors:  Vera Levina; Yunyun Su; Brian Nolen; Xiaoning Liu; Yuri Gordin; Melissa Lee; Anna Lokshin; Elieser Gorelik
Journal:  Int J Cancer       Date:  2008-11-01       Impact factor: 7.396

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