Evidence map›Paper›PMID 39312880›Full record

ArticleBiochemical and biophysical research communications2024

Investigating NanoLuc-EGFR engineered cell lines for real-time monitoring of EGFR protein dynamics in live cells.

Ranjit K Mehta, Mingjia Tan, Mohammed K Hassan, Tengda Zhao, David M Markovitz, Theodore S Lawrence, Mukesh K Nyati

Abstract read
In one paragraph

Article in Biochemical and biophysical research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ranjit K MehtaDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, 48109, USA.
Mingjia TanDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, 48109, USA.
Mohammed K HassanDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, 48109, USA.
Tengda ZhaoDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, 48109, USA. Electronic address: zhaotengda@sdfmu.edu.cn.
David M MarkovitzDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, 48109, USA.
Theodore S LawrenceDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, 48109, USA.
Mukesh K NyatiDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, 48109, USA. Electronic address: nyati@umich.edu.

Funding

Development of a first-in-class mEGFR dimerization inhibitorR01CA248310 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAWRENCE, THEODORE S, NYATI, MUKESH K. · 2020 to 2024
$3.1M
Molecularly Engineered Lectins for Intranasal Prophylaxis and Treatment of CoronavirusesR01AI175124 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Michael Markovitz · 2023 to 2026
$2.8M
Integration of EGFR Inhibitors with Radiochemotherapy in Head and Neck CancerR01CA131290 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NYATI, MUKESH K. · 2009 to 2013
$1.5M
NCI NIH HHS R01 CA131290NCI NIH HHS R01 CA248310NIAID NIH HHS R01 AI175124
6 · The paper itself

Abstract

Evaluating the steady-state protein level of the EGFR in live cells presents significant challenges compared to measuring its kinase activity. Traditional testing methods, such as immunoblotting, ELISA, and immunofluorescence assays, are generally restricted to fixed cells or cell lysates. Despite their utility, these methods are cumbersome and provide only intermittent snapshots of EGFR levels at specific time points. With emerging trends in drug development shifting toward engineering novel agents that promote protein degradation, rather than simply inhibiting kinase activity, a tool that enables real-time, quantitative detection of drug effects in live cells could catalyze advances in the field. Such an innovation would expedite the drug development process, enhancing the translation of research findings into effective, patient-centered therapies. The NanoLuc-EGFR cell line, created through CRISPR genome editing, allows for the continuous tracking and analysis of EGFR protein levels and their degradation within live cells. This approach provides quantitative monitoring of protein dynamics in real time, offering insights that go beyond absolute protein levels to include aspects such as protein stability and degradation rate. Using this cell line model, we observed that AT13387 and H84T BanLec induce EGFR degradation in A549-HiBiT cells, with the results confirmed by immunoblotting. In contrast, Erlotinib, Osimertinib, and Cetuximab inhibit EGFR phosphorylation without altering total EGFR levels, as validated by the HiBiT luciferase assay. The NanoLuc-EGFR cell line marks a significant advancement in understanding protein regulation and serves as an instrumental platform for investigating targeted therapies that modulate protein kinases, especially those that induce protein degradation.

Indexed as

ErbB ReceptorsAcrylamidesAniline CompoundsCell LineCell Line, TumorCRISPR-Cas SystemsGene EditingHumansIndolesProteolysisPyrimidinesAcrylamidesAniline CompoundsEGFR protein, humanErbB ReceptorsIndolesosimertinibPyrimidinesEGFRHiBiTKinase inhibitorsNano-luciferaseProtein degradation

Identifiers

PMID39312880
PMCPMC12810771

What OpenQuestion holds

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Registered trials

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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.