Literature DB >> 15090225

A beta-lactamase-dependent Gal4-estrogen receptor beta transactivation assay for the ultra-high throughput screening of estrogen receptor beta agonists in a 3456-well format.

Norbert T Peekhaus1, Marc Ferrer, Tina Chang, Oleg Kornienko, Jonathan E Schneeweis, Todd S Smith, Ira Hoffman, Lyndon J Mitnaul, Jayne Chin, Paul A Fischer, Tim A Blizzard, Elizabeth T Birzin, Wanda Chan, James Inglese, Berta Strulovici, Susan P Rohrer, James M Schaeffer.   

Abstract

Estrogen action is mediated via two estrogen receptor (ER) subtypes, ERalpha and ERbeta. Selective ER modulators with balanced high affinity for ERalpha and ERbeta have been developed as therapeutics for the treatment of a variety of diseases, including hormone-responsive breast cancer and osteoporosis. Recent data based primarily on the evaluation of ER-knockout mice have revealed that ERalpha and ERbeta may regulate separate and distinct biological processes. The identification of ERbeta specific ligands could further enhance our understanding of ERbeta biology. In addition, compounds targeting ERbeta may prove useful as therapeutic agents with activity profiles distinguishable from that of estradiol. To discover novel selective ligands for ERbeta, we developed and characterized a cell-based Gal4-ERbeta beta-lactamase reporter gene assay (GERTA) in CHO cells for the ligand-induced activation of the human ERbeta. The sensitivity and selectivity of this assay were found to be comparable to those of an ER ligand-binding assay. The assay was optimized for screening in an ultra high throughput 3456-well nanoplate format and was successfully used to screen a large compound collection for ERbeta agonists. Compounds identified in a primary screen were tested in an in vitro ligand-binding assay to characterize further the selectivity and potency for ERbeta.

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Year:  2003        PMID: 15090225     DOI: 10.1089/154065803772613426

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


  4 in total

1.  A quantitative high-throughput screen for modulators of IL-6 signaling: a model for interrogating biological networks using chemical libraries.

Authors:  Ronald L Johnson; Ruili Huang; Ajit Jadhav; Noel Southall; Jennifer Wichterman; Ryan MacArthur; Menghang Xia; Kun Bi; John Printen; Christopher P Austin; James Inglese
Journal:  Mol Biosyst       Date:  2009-06-19

2.  Development of an image analysis screen for estrogen receptor alpha (ERα) ligands through measurement of nuclear translocation dynamics.

Authors:  Angie Dull; Ekaterina Goncharova; Gordon Hager; James B McMahon
Journal:  J Steroid Biochem Mol Biol       Date:  2010-09-17       Impact factor: 4.292

3.  Channel Interactions and Robust Inference for Ratiometric β-lactamase Assay Data: a Tox21 Library Analysis.

Authors:  Fjodor Melnikov; Jui-Hua Hsieh; Nisha S Sipes; Paul T Anastas
Journal:  ACS Sustain Chem Eng       Date:  2018-01-15       Impact factor: 8.198

4.  A Sleeping Beauty DNA transposon-based genetic sensor for functional screening of vitamin D3 analogues.

Authors:  Nicklas H Staunstrup; Nynne Sharma; Rasmus O Bak; Lars Svensson; Thomas K Petersen; Lene Aarenstrup; Karsten Kristiansen; Lars Bolund; Jacob Giehm Mikkelsen
Journal:  BMC Biotechnol       Date:  2011-04-07       Impact factor: 2.563

  4 in total

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