| Literature DB >> 24667240 |
Nisan Bhattacharyya1, Xin Hu2, Catherine Z Chen2, Lesley A Mathews Griner2, Wei Zheng2, James Inglese2, Christopher P Austin2, Juan J Marugan2, Noel Southall2, Susanne Neumann3, John K Northup4, Marc Ferrer2, Michael T Collins1.
Abstract
Mis-sense mutations in the α-subunit of the G-protein, Gsα, cause fibrous dysplasia of bone/McCune-Albright syndrome. The biochemical outcome of these mutations is constitutively active Gsα and increased levels of cAMP. The aim of this study was to develop an assay system that would allow the identification of small molecule inhibitors specific for the mutant Gsα protein, the so-called gsp oncogene. Commercially available Chinese hamster ovary cells were stably transfected with either wild-type (WT) or mutant Gsα proteins (R201C and R201H). Stable cell lines with equivalent transfected Gsα protein expression that had relatively lower (WT) or higher (R201C and R201H) cAMP levels were generated. These cell lines were used to develop a fluorescence resonance energy transfer (FRET)-based cAMP assay in 1536-well microplate format for high throughput screening of small molecule libraries. A small molecule library of 343,768 compounds was screened to identify modulators of gsp activity. A total of 1,356 compounds with inhibitory activity were initially identified and reconfirmed when tested in concentration dose responses. Six hundred eighty-six molecules were selected for further analysis after removing cytotoxic compounds and those that were active in forskolin-induced WT cells. These molecules were grouped by potency, efficacy, and structural similarities to yield 22 clusters with more than 5 of structurally similar members and 144 singleton molecules. Seven chemotypes of the major clusters were identified for further testing and analyses.Entities:
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Year: 2014 PMID: 24667240 PMCID: PMC3965391 DOI: 10.1371/journal.pone.0090766
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Assay Protocol.
| Step | Parameter | Value | Description |
| 1 | Reagent | 6 µl | 2000 cells/well in 6 µl/well DMEM with 10% FBS, 1× Penicillin/Streptomycin, 0.5 mg/ml G418 |
| 2 | Incubation | 16–24 hr | 37°C, 5% CO2, 95% humidity |
| 3 | Aspirate | −5 µl | Leave 1 µl residual |
| 4 | Reagent | 5 µl | DPBS, 1 mM CaCl2, 0.5 mM MgCl |
| 5 | Aspirate | −4 µl | Leave 2 µl residual |
| 6 | Compound | 23 nl | Columns 1–4 controls, columns 5–48 compounds |
| 7 | Reagent | 1 µl | 300 µM Ro-20174 in DMEM (no phenol) 10% FBS |
| 8 | Incubation | 30 min | 37°C, 5% CO2, 95% humidity |
| 9 | Reagent | 1 µl | HTRF kit: cAMP-d2 in lysis buffer |
| 10 | Reagent | 1 µl | HTRF kit: anti-cAMP-K in lysis buffer |
| 11 | Incubation | 30 min | Room temperature |
| 12 | Detection | EnVision plate reader; HTRF mode (excitation at 320 nM, and emission at 615 nm and 665 nm) |
*See Materials and Methods for more details, definitions, and non-standard abbreviations. Ro-20174 = 4-(3-Butoxy-4-methoxybenzoyl)-2-imidazolidine, HTRF = homogeneous time resolved fluorescence.
Figure 1Compound Identification Flow Chart.
Depicted is a flow chart of the assays, filtering, and analyses that were performed to ultimately identify the 7 chemotypes of clusters of molecules that have been selected for further study.
Summary of Confirmation Hits.
| Cherry Picks | Distribution | Curve Classification | |||||||||
| 1.1 | 1.2 | 1.3 | 1.4 | 2.1 | 2.2 | 2.3 | 2.4 | 3 | 4 | ||
| 1356 | Compound Number | 16 | 175 | 1 | 52 | 176 | 445 | 2 | 163 | 48 | 278 |
| % | 1.18 | 12.91 | 0.07 | 3.83 | 12.98 | 32.82 | 0.15 | 12.02 | 3.54 | 20.5 | |
Figure 2Confirmation Assay Molecules.
A 3-axis plot of the 1356 compounds identified in the confirmation assay is shown. Compounds are sorted by curve class. Red: active compounds in curve class 1 and 2. Green: weakly active compounds in curve class 3. Blue: inactive compounds in curve class 4.
Figure 3Clustering Analysis.
Active compounds were clustered based on structural similarity to identify common chemotypes using LeadScope (Leadscope Hosted Client, Leadscope Inc., Columbus, OH). The results show a diversity of structural clusters, with 22 distinct clusters with more than 5 members. (A) Representative compounds from each of the most prominent 7 clusters are shown. (see Table S5, Cluster Analysis Compounds with Link for a complete list of the 102 molecules in the 7 clusters, their structures, IC50, and active link to the complete PubChem description). Their common structural scaffolds are highlighted in red. These scaffolds are highly polar, including thiazole, triazole, and hydrozide-based derivatives. Another common structural feature is that these small molecules share a linear molecular shape, which suggests that they might compete with GTP at the active site of the G protein. (B) Inhibition-concentration curves for 7 selected compounds, one from each cluster, together with the IC50 for each compound are shown.