Evidence map›Paper›PMID 21680864›Full record

ArticleJournal of biomolecular screening2011

Development of a novel high-throughput screen and identification of small-molecule inhibitors of the Gα-RGS17 protein-protein interaction using AlphaScreen.

Duncan I Mackie, David L Roman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomolecular screening, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  4. Review
  5. High-resolution structure of RGS17 suggests a role for CaThe Journal of biological chemistry · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Duncan I MackieDivision of Medicinal and Natural Products Chemistry, College of Pharmacy, University of Iowa, 115 South Grand Avenue, Iowa City, IA 52242, USA.
David L Roman
University of Iowa · US

Funding

PREDOCTORAL TRAINING PROGRAM IN BIOTECHNOLOGYT32GM008365 · NIGMS · UNIVERSITY OF IOWA · PI KERNS, ROBERT JOHN · 1990 to 2021
$3.8M
NIGMS NIH HHS T32 GM008365
6 · The paper itself

Abstract

In this study, the authors used AlphaScreen technology to develop a high-throughput screening method for interrogating small-molecule libraries for inhibitors of the Gα(o)-RGS17 interaction. RGS17 is implicated in the growth, proliferation, metastasis, and the migration of prostate and lung cancers. RGS17 is upregulated in lung and prostate tumors up to a 13-fold increase over patient-matched normal tissues. Studies show RGS17 knockdown inhibits colony formation and decreases tumorigenesis in nude mice. The screen in this study uses a measurement of the Gα(o)-RGS17 protein-protein interaction, with an excellent Z score exceeding 0.73, a signal-to-noise ratio >70, and a screening time of 1100 compounds per hour. The authors screened the NCI Diversity Set II and determined 35 initial hits, of which 16 were confirmed after screening against controls. The 16 compounds exhibited IC(50) <10 µM in dose-response experiments. Four exhibited IC(50) values <6 µM while inhibiting the Gα(o)-RGS17 interaction >50% when compared to a biotinylated glutathione-S-transferase control. This report describes the first high-throughput screen for RGS17 inhibitors, as well as a novel paradigm adaptable to many other RGS proteins, which are emerging as attractive drug targets for modulating G-protein-coupled receptor signaling.

Indexed as

High-Throughput Screening AssaysBinding, CompetitiveDose-Response Relationship, DrugEscherichia coliGTP-Binding ProteinsHumansLung NeoplasmsMalePlasmidsProstatic NeoplasmsProtein BindingRecombinant ProteinsRGS ProteinsSignal-To-Noise RatioSmall Molecule LibrariesTransformation, BacterialGTP-Binding ProteinsRecombinant ProteinsRGS17 protein, humanRGS ProteinsSmall Molecule Libraries

Identifiers

PMID21680864
PMCPMC5525514
OpenAlexW2107121773

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.