Comprehensive assessment of NR ligand polypharmacology by a multiplex reporter NR assay.
Comprehensive assessment of NR ligand polypharmacology by a multiplex reporter NR assay.
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DOI:
10.1038/s41598-022-07031-8
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发表时间:
2022-02-24
影响因子:
4.6
通讯作者:
Makarov SS
中科院分区:
文献类型:
--
作者:
Medvedev A;Moeser M;Medvedeva L;Martsen E;Granick A;Raines L;Gorman K;Lin B;Zeng M;Houck KA;Makarov SS
Nuclear receptors (NR) are ligand-modulated transcription factors that regulate multiple cell functions and thus represent excellent drug targets. However, due to a considerable NR structural homology, NR ligands often interact with multiple receptors. Here, we describe a multiplex reporter assay (the FACTORIAL NR) that enables parallel assessment of NR ligand activity across all 48 human NRs. The assay comprises one-hybrid GAL4-NR reporter modules transiently transfected into test cells. To evaluate the reporter activity, we assessed their RNA transcripts. We used a homogeneous RNA detection approach that afforded equal detection efficacy and permitted the multiplex detection in a single-well format. For validation, we examined a panel of selective NR ligands and polypharmacological agonists and antagonists of the progestin, estrogen, PPAR, ERR, and ROR receptors. The assay produced highly reproducible NR activity profiles (r > 0.96) permitting quantitative assessment of individual NR responses. The inferred EC50 values agreed with the published data. The assay showed excellent quality (<Z’> = 0.73) and low variability (<CV> = 7.2%). Furthermore, the assay permitted distinguishing direct and non-direct NR responses to ligands. Therefore, the FACTORIAL NR enables comprehensive evaluation of NR ligand polypharmacology.
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影响因子:
7.3
作者:
Alexander SP;Benson HE;Faccenda E;Pawson AJ;Sharman JL;Spedding M;Peters JA;Harmar AJ;CGTP Collaborators
通讯作者:
CGTP Collaborators
影响因子:
6.2
作者:
JORDAN, VC;JENG, MH;PARKER, CJ
通讯作者:
PARKER, CJ
影响因子:
4.8
作者:
Grun, Felix;Blumberg, Bruce
通讯作者:
Blumberg, Bruce
影响因子:
4.1
作者:
Martin, Matthew T.;Dix, David J.;Houck, Keith A.
通讯作者:
Houck, Keith A.
影响因子:
3.5
作者:
Carazo, Alejandro;Hyrsova, Lucie;Pavek, Petr
通讯作者:
Pavek, Petr