Evidence map›Paper›PMID 30114365›Full record

ArticleJournal of the American Chemical Society2018

Measuring Ligand Binding Kinetics to Membrane Proteins Using Virion Nano-oscillators.

Guangzhong Ma, Guan-Da Syu, Xiaonan Shan, Brandon Henson, Shaopeng Wang, Prashant J Desai, Heng Zhu, Nongjian Tao

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

19 citing papers in PubMed, 27 citations in OpenAlex.

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  16. Developments and Applications of Functional Protein Microarrays.Molecular & cellular proteomics : MCP · 2020
    Review
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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

8 authors at 3 institutions in 1 country.

Guangzhong MaBiodesign Center for Bioelectronics and Biosensors , Arizona State University , Tempe , Arizona 85287 , United States.
Guan-Da SyuViral Oncology Program , The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins , Baltimore , Maryland 21231 , United States.
Xiaonan ShanBiodesign Center for Bioelectronics and Biosensors , Arizona State University , Tempe , Arizona 85287 , United States.
Brandon HensonViral Oncology Program , The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins , Baltimore , Maryland 21231 , United States.
Shaopeng WangBiodesign Center for Bioelectronics and Biosensors , Arizona State University , Tempe , Arizona 85287 , United States.ORCID 0000-0002-2680-0503
Prashant J DesaiViral Oncology Program , The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins , Baltimore , Maryland 21231 , United States.
Heng ZhuDepartment of Pharmacology and Molecular Sciences , Johns Hopkins School of Medicine , Baltimore , Maryland 21205 , United States.
Nongjian TaoBiodesign Center for Bioelectronics and Biosensors , Arizona State University , Tempe , Arizona 85287 , United States.
BioElectronics (United States) · USJohns Hopkins University · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Quantitative label-free imaging of membrane protein interaction kinetics on cellsR01GM107165 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, SHAOPENG · 2014 to 2021
$2.2M
Electrochemically-Enhanced Plasmonic Imaging for Quantitative ProteomicsR44GM106579 · NIGMS · BIOSENSING INSTRUMENT, INC. · PI LY, NGUYEN · 2013 to 2017
$1.9M
Nano-Oscillator Arrays for Sensitive Plasmonic Detection of Molecular Interactions and ReactionsR44GM126720 · NIGMS · BIOSENSING INSTRUMENT, INC. · PI LY, NGUYEN · 2018 to 2020
$1.6M
Development of a virion display (VirD) array to profile human GPCR interactionsR33CA186790 · NCI · JOHNS HOPKINS UNIVERSITY · PI DESAI, PRASHANT J, ZHU, HENG · 2015 to 2017
$1.2M
Charge sensitive optical detection for high-throughput study of small moleculesR33CA202834 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI TAO, NONGJIAN · 2016 to 2018
$1.1M
Quantitative, multiplexed and high-throughput: macroarrays of lysate microarraysR21CA126720 · NCI · HARVARD UNIVERSITY · PI MACBEATH, GAVIN · 2008 to 2009
$368k
NCI NIH HHS R33 CA186790NCI NIH HHS R33 CA202834NIGMS NIH HHS R01 GM107165NIGMS NIH HHS R44 GM106579NIGMS NIH HHS R44 GM126720
6 · The paper itself

Abstract

Membrane proteins play vital roles in cellular signaling processes and serve as the most popular drug targets. A key task in studying cellular functions and developing drugs is to measure the binding kinetics of ligands with the membrane proteins. However, this has been a long-standing challenge because one must perform the measurement in a membrane environment to maintain the conformations and functions of the membrane proteins. Here, we report a new method to measure ligand binding kinetics to membrane proteins using self-assembled virion oscillators. Virions of human herpesvirus were used to display human G-protein-coupled receptors (GPCRs) on their viral envelopes. Each virion was then attached to a gold-coated glass surface via a flexible polymer to form an oscillator and driven into oscillation with an alternating electric field. By tracking changes in the oscillation amplitude in real-time with subnanometer precision, the binding kinetics between ligands and GPCRs was measured. We anticipate that this new label-free detection technology can be readily applied to measure small or large ligand binding to any type of membrane proteins and thus contribute to the understanding of cellular functions and screening of drugs.

Indexed as

Binding SitesHumansKineticsLigandsMolecular StructureNanoparticlesProtein BindingReceptors, G-Protein-CoupledVirionLigandsReceptors, G-Protein-Coupled

Identifiers

PMID30114365
PMCPMC6211285
OpenAlexW2885724509

What OpenQuestion holds

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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.