Literature DB >> 17638536

Recommendations for the reduction of compound artifacts in time-resolved fluorescence resonance energy transfer assays.

Pierre-Eloi Imbert1, Vincent Unterreiner, Daniela Siebert, Hanspeter Gubler, Christian Parker, Daniela Gabriel.   

Abstract

Time-resolved (TR) fluorescence resonance energy transfer (FRET) is a widely accepted technology for high throughput screening (HTS), being able to detect and quantify the interactions of specific biomolecules in a homogeneous format. TR-FRET has several advantages for HTS applications that reduce assay artifacts such as compound interference. However, in some cases artifacts due to compound autofluorescence, color quenching, or signal stability are still observed. This report presents strategies addressing these issues by several means. One recommendation is the recording and visualization of differences in the donor/acceptor fluorescence, which allows the identification of compound artifacts. Another suggestion is to adjust the time delay, between excitation and recording of the fluorescence, in order to reduce compound interference. Furthermore, configuring the assay to allow the TR-FRET measurement to be taken at different time points, creating a reaction time course, allows background correction for each sample. Finally, the optimization of the FRET pair, to ensure assay signal stability under screening conditions, can improve the assay quality. This report presents examples of how these simple steps can be applied to enhance the quality of TR-FRET screening campaigns.

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Year:  2007        PMID: 17638536     DOI: 10.1089/adt.2007.073

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


  16 in total

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2.  A high-throughput assay to identify small-molecule modulators of alternative pre-mRNA splicing.

Authors:  Ahmet Dirim Arslan; Xiaolong He; Minxiu Wang; Emily Rumschlag-Booms; Lijun Rong; William T Beck
Journal:  J Biomol Screen       Date:  2012-09-12

3.  cat-ELCCA: catalyzing drug discovery through click chemistry.

Authors:  Amanda L Garner
Journal:  Chem Commun (Camb)       Date:  2018-06-19       Impact factor: 6.222

Review 4.  Apparent activity in high-throughput screening: origins of compound-dependent assay interference.

Authors:  Natasha Thorne; Douglas S Auld; James Inglese
Journal:  Curr Opin Chem Biol       Date:  2010-04-22       Impact factor: 8.822

5.  A 1,536-well-based kinetic HTS assay for inhibitors of Schistosoma mansoni thioredoxin glutathione reductase.

Authors:  Wendy A Lea; Ajit Jadhav; Ganesha Rai; Ahmed A Sayed; Cynthia L Cass; James Inglese; David L Williams; Christopher P Austin; Anton Simeonov
Journal:  Assay Drug Dev Technol       Date:  2008-08       Impact factor: 1.738

6.  Cellular Ser/Thr-kinase assays using generic peptide substrates.

Authors:  Deanna G Adams; Yu Wang; Puiying A Mak; Jason Chyba; Orzala Shalizi; Jason Matzen; Paul Anderson; Tim R Smith; Michael Garcia; Genevieve L Welch; Emmanuel J Claret; Michel Fink; Anthony P Orth; Jeremy S Caldwell; Achim Brinker
Journal:  Curr Chem Genomics       Date:  2008-05-23

7.  High-Throughput Chemical Probing of Full-Length Protein-Protein Interactions.

Authors:  James M Song; Arya Menon; Dylan C Mitchell; Oleta T Johnson; Amanda L Garner
Journal:  ACS Comb Sci       Date:  2017-11-14       Impact factor: 3.784

Review 8.  The essential roles of chemistry in high-throughput screening triage.

Authors:  Jayme L Dahlin; Michael A Walters
Journal:  Future Med Chem       Date:  2014-07       Impact factor: 3.808

9.  Identification of pregnane X receptor ligands using time-resolved fluorescence resonance energy transfer and quantitative high-throughput screening.

Authors:  Sunita J Shukla; Dac-Trung Nguyen; Ryan Macarthur; Anton Simeonov; William J Frazee; Tina M Hallis; Bryan D Marks; Upinder Singh; Hildegard C Eliason; John Printen; Christopher P Austin; James Inglese; Douglas S Auld
Journal:  Assay Drug Dev Technol       Date:  2009-04       Impact factor: 1.738

10.  Combining docking-based comparative intermolecular contacts analysis and k-nearest neighbor correlation for the discovery of new check point kinase 1 inhibitors.

Authors:  Nour Jamal Jaradat; Mohammad A Khanfar; Maha Habash; Mutasem Omar Taha
Journal:  J Comput Aided Mol Des       Date:  2015-05-09       Impact factor: 3.686

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