Literature DB >> 23489157

An overview of cell phenotypes in HCS: limitations and advantages.

Fabio Gasparri1.   

Abstract

BACKGROUND: High-content screening (HCS) defines a series of cell-based multiparametric approaches for analysis at the single-cell level. In recent years, HCS has been increasingly pursued in the drug discovery field, adding to the repertoire of assay type, or increasing throughput in applications such as compound screening and mechanism of action studies, as well as for target identification/validation (siRNA screening). Obviously, as cells represent the objects of high-content assays, the outcome of any HCS assay is determined by the cell type: the choice of the most suitable cellular model for a given assay is a critical step that must follow biological and technical criteria.
METHOD: Here, I discuss these criteria and report a systematic survey of cell types used so far in HCS, with particular emphasis on their strengths and drawbacks. I also illustrate my expectations for future advances on cellular models used in HCS.
CONCLUSION: Despite the plethora of cell types potentially suitable for HCS, so far only a handful of cellular models (particularly human cancer cell lines) account for the great majority of HCS assays. In the future, the introduction of novel cell types, including engineered and primary cells, will further expand the potential of HCS for systems biology and drug discovery.

Entities:  

Year:  2009        PMID: 23489157     DOI: 10.1517/17460440902992870

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  5 in total

1.  Approaches to Assess Biased Signaling at the CB1R Receptor.

Authors:  Robert B Laprairie; Edward L Stahl; Laura M Bohn
Journal:  Methods Enzymol       Date:  2017-07-05       Impact factor: 1.600

2.  Development of a high-content screen for the identification of inhibitors directed against the early steps of the cytomegalovirus infectious cycle.

Authors:  Thomas J Gardner; Tobias Cohen; Veronika Redmann; Zerlina Lau; Dan Felsenfeld; Domenico Tortorella
Journal:  Antiviral Res       Date:  2014-10-31       Impact factor: 5.970

3.  High content image analysis of focal adhesion-dependent mechanosensitive stem cell differentiation.

Authors:  Andrew W Holle; Alistair J McIntyre; Jared Kehe; Piyumi Wijesekara; Jennifer L Young; Ludovic G Vincent; Adam J Engler
Journal:  Integr Biol (Camb)       Date:  2016-10-10       Impact factor: 2.192

4.  Development of an OP9 derived cell line as a robust model to rapidly study adipocyte differentiation.

Authors:  Jacqueline M Lane; Jamie R Doyle; Jean-Philippe Fortin; Alan S Kopin; José M Ordovás
Journal:  PLoS One       Date:  2014-11-19       Impact factor: 3.240

5.  Robust microbial cell segmentation by optical-phase thresholding with minimal processing requirements.

Authors:  H Alanazi; A J Canul; A Garman; J Quimby; A E Vasdekis
Journal:  Cytometry A       Date:  2017-03-30       Impact factor: 4.355

  5 in total

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