Evidence map›Paper›PMID 22280060›Full record

ArticleAssay and drug development technologies2012

Domain-based biosensor assay to screen for epidermal growth factor receptor modulators in live cells.

Christophe Antczak, Alun Bermingham, Paul Calder, Dmitry Malkov, Keming Song, John Fetter, Hakim Djaballah

Abstract readComparative Study
In one paragraph

Article in Assay and drug development technologies, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Christophe AntczakHTS Core Facility, Molecular Pharmacology & Chemistry Program, Memorial Sloan-Kettering Cancer Center , New York, New York 10065, USA.
Alun Bermingham
Paul Calder
Dmitry Malkov
Keming Song
John Fetter
Hakim Djaballah
Memorial Sloan Kettering Cancer Center · USSigma Research (United States) · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS 5 P30CA008748-44NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Traditional drug discovery efforts have resulted in the approval of a handful of receptor tyrosine kinase (RTK) inhibitors; however, their discovery relied solely on screening recombinant kinases, often with poor cellular activity outcome. The ability to screen RTKs in their natural environment is sought as an alternative approach. We have adapted a novel strategy utilizing a green fluorescent protein-labeled SRC homology 2 domain-based biosensor as a surrogate reporter of endogenous epidermal growth factor receptor (EGFR) activity in A549 cells. Upon activation of the receptor, EGFR function in live cells is measured by the number of green granules that form. Here we describe assay miniaturization and demonstrate specificity for EGFR through its chemical inhibition and RNAi-dependent knockdown resulting in complete abrogation of granule formation. Gefitinib and PD 153035 were identified as hits in a pilot screen. This approach allows for the identification of novel EGFR modulators in high-throughput formats for screening chemical and RNAi libraries.

Indexed as

Antineoplastic AgentsBiosensing TechniquesCell Line, TumorDose-Response Relationship, DrugDrug Screening Assays, AntitumorErbB ReceptorsHumansPilot ProjectsRNA, Small InterferingAntineoplastic AgentsErbB ReceptorsRNA, Small Interfering

Identifiers

PMID22280060
PMCPMC3277729
OpenAlexW2116696446

What OpenQuestion holds

Textmetadata
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.