Literature DB >> 17110193

High-resolution, high-throughput microscopy analyses of nuclear receptor and coregulator function.

Valeria Berno1, Cruz A Hinojos, Larbi Amazit, Adam T Szafran, Michael A Mancini.   

Abstract

Steroid nuclear receptors are ligand-dependent transcription factors that have been studied since the early 1960s by principally biochemical and reporter assay approaches. From these studies an elegant and complex model of nuclear receptor transcription regulation has been developed. Inherent to both biochemical and reporter assay approaches is the generation of averaged responses and it is not generally considered that individual cells could exhibit quite varied responses. In some cases, recent microscopic single-cell analyses provide markedly different responses relative to traditional approaches based on population averaging and underscore the need to continue refinement of the current model of nuclear receptor-regulated transcription. While single-cell analyses of nuclear receptor action have been hindered by the predominantly qualitative nature of the approach, high-throughput microscopy is now available to resolve this issue. This chapter demonstrates the utility of high-throughput microscopic analyses of nuclear receptor and nuclear receptor coregulator function. The ability of high-throughput microscopy to generate physiologically appropriate test populations by filtering based on morphological and protein of interest expression criteria is demonstrated. High-resolution, high-throughput microscopy is illustrated that provides quantitative subcellular information for both androgen and estrogen receptors. Efforts are ongoing to develop model systems that provide additional multiplex data and with refined image analyses to achieve true high-content imaging screens.

Mesh:

Substances:

Year:  2006        PMID: 17110193     DOI: 10.1016/S0076-6879(06)14011-2

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  11 in total

1.  The myImageAnalysis project: a web-based application for high-content screening.

Authors:  Adam T Szafran; Michael A Mancini
Journal:  Assay Drug Dev Technol       Date:  2014 Jan-Feb       Impact factor: 1.738

2.  Quantification of lipid droplets and associated proteins in cellular models of obesity via high-content/high-throughput microscopy and automated image analysis.

Authors:  Patrick M McDonough; Ramses M Agustin; Randall S Ingermanson; Patricia A Loy; Benjamin M Buehrer; James B Nicoll; Natalie L Prigozhina; Ivana Mikic; Jeffrey H Price
Journal:  Assay Drug Dev Technol       Date:  2009-10       Impact factor: 1.738

3.  Endocrine disruptors provoke differential modulatory responses on androgen receptor and pregnane and xenobiotic receptor: potential implications in metabolic disorders.

Authors:  Nagendra Kumar Chaturvedi; Sanjay Kumar; Seema Negi; Rakesh K Tyagi
Journal:  Mol Cell Biochem       Date:  2010-09-10       Impact factor: 3.396

4.  Automated microscopy and image analysis for androgen receptor function.

Authors:  Sean M Hartig; Justin Y Newberg; Michael J Bolt; Adam T Szafran; Marco Marcelli; Michael A Mancini
Journal:  Methods Mol Biol       Date:  2011

5.  A multifunctional androgen receptor screening assay using the high-throughput Hypercyt flow cytometry system.

Authors:  Megan K Dennis; Harmony J C Bowles; Debra A MacKenzie; Scott W Burchiel; Bruce S Edwards; Larry A Sklar; Eric R Prossnitz; Todd A Thompson
Journal:  Cytometry A       Date:  2008-05       Impact factor: 4.355

6.  Androgen receptor mutations associated with androgen insensitivity syndrome: a high content analysis approach leading to personalized medicine.

Authors:  Adam T Szafran; Sean Hartig; Huiying Sun; Ivan P Uray; Maria Szwarc; Yuqing Shen; Sanjay N Mediwala; Jennifer Bell; Michael J McPhaul; Michael A Mancini; Marco Marcelli
Journal:  PLoS One       Date:  2009-12-09       Impact factor: 3.240

7.  Exploration of chromatic aberration for multiplanar imaging: proof of concept with implications for fast, efficient autofocus.

Authors:  Martin Weinigel; Albert L Kellner; Jeffrey H Price
Journal:  Cytometry A       Date:  2009-12       Impact factor: 4.355

8.  Growth factor-induced resistance to tamoxifen is associated with a mutation of estrogen receptor alpha and its phosphorylation at serine 305.

Authors:  Cinzia Giordano; Yukun Cui; Ines Barone; Sebastiano Ando; Michael A Mancini; Valeria Berno; Suzanne A W Fuqua
Journal:  Breast Cancer Res Treat       Date:  2009-02-11       Impact factor: 4.872

9.  Regulation of SRC-3 intercompartmental dynamics by estrogen receptor and phosphorylation.

Authors:  Larbi Amazit; Luigi Pasini; Adam T Szafran; Valeria Berno; Ray-Chang Wu; Marylin Mielke; Elizabeth D Jones; Maureen G Mancini; Cruz A Hinojos; Bert W O'Malley; Michael A Mancini
Journal:  Mol Cell Biol       Date:  2007-07-23       Impact factor: 4.272

10.  Activation of estrogen receptor-alpha by E2 or EGF induces temporally distinct patterns of large-scale chromatin modification and mRNA transcription.

Authors:  Valeria Berno; Larbi Amazit; Cruz Hinojos; Jeannie Zhong; Maureen G Mancini; Zelton Dave Sharp; Michael A Mancini
Journal:  PLoS One       Date:  2008-05-28       Impact factor: 3.240

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