Evidence map›Paper›PMID 20329726›Full record

ArticleJournal of the American Chemical Society2010

Enzyme-amplified array sensing of proteins in solution and in biofluids.

Oscar R Miranda, Hung-Ting Chen, Chang-Cheng You, David E Mortenson, Xiao-Chao Yang, Uwe H F Bunz, Vincent M Rotello

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

54 citing papers in PubMed, 212 citations in OpenAlex.

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  14. International journal of nanomedicine · 2021
    Article
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  18. Stereospecific modulation of dimeric rhodopsin.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
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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 2 countries.

Oscar R MirandaDepartment of Chemistry, University of Massachusetts, 710 North Pleasant Street, Amherst, Massachusetts 01003, USA.
Hung-Ting Chen
Chang-Cheng You
David E Mortenson
Xiao-Chao Yang
Uwe H F Bunz
Vincent M Rotello
Chongqing University · CNGeorgia Institute of Technology · US

Funding

Recognition and Presentation of Alpha Helices using Nanoparticle ReceptorsR01GM077173 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ROTELLO, VINCENT M. · 2007 to 2018
$3.7M
NIGMS NIH HHS GM077173NIGMS NIH HHS R01 GM077173
6 · The paper itself

Abstract

We have developed an enzyme-nanoparticle sensor array where the sensitivity is amplified through enzymatic catalysis. In this approach cationic gold nanoparticles are electrostatically bound to an enzyme (beta-galactosidase, beta-Gal), inhibiting enzyme activity. Analyte proteins release the beta-Gal, restoring activity and providing an amplified readout of the binding event. Using this strategy we have been able to identify proteins in buffer at a concentration of 1 nM, substantially lower than current strategies for array-based protein sensing. Moreover, we have obtained identical sensitivity in studies where the proteins are spiked into the complex protein matrix provided by desalted human urine ( approximately 1.5 muM total protein; spiked protein concentrations were 0.067% of the overall protein concentration), demonstrating the potential of the method for diagnostic applications.

Indexed as

beta-GalactosidaseCatalysisEnzyme ActivationGoldHumansMetal NanoparticlesModels, MolecularMolecular StructureProtein Array AnalysisSensitivity and SpecificitySolutionsStatic Electricitybeta-GalactosidaseGoldSolutions

Identifiers

PMID20329726
PMCPMC2855490
OpenAlexW2063954488

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.