Evidence map›Paper›PMID 29718676›Full record

ArticleNano letters2018

The Virus Bioresistor: Wiring Virus Particles for the Direct, Label-Free Detection of Target Proteins.

Apurva Bhasin, Alana F Ogata, Jeffrey S Briggs, Phillip Y Tam, Ming X Tan, Gregory A Weiss, Reginald M Penner

Open access · greenAbstract read
In one paragraph

Article in Nano letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 25 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 1 institution in 1 country.

Apurva BhasinDepartment of Chemistry , University of California, Irvine , Irvine , California 92697-2025 , United States.
Alana F OgataDepartment of Chemistry , University of California, Irvine , Irvine , California 92697-2025 , United States.
Jeffrey S BriggsPhageTech, Inc. , 5 Mason, Suite 170 , Irvine , California 926187 , United States.
Phillip Y TamPhageTech, Inc. , 5 Mason, Suite 170 , Irvine , California 926187 , United States.
Ming X TanWainamics, Inc. , 3135 Osgood Court , Fremont , California 94539 , United States.
Gregory A WeissDepartment of Chemistry , University of California, Irvine , Irvine , California 92697-2025 , United States.ORCID 0000-0003-0296-9846
Reginald M PennerDepartment of Chemistry , University of California, Irvine , Irvine , California 92697-2025 , United States.ORCID 0000-0003-2831-3028
University of California, Irvine · US

Funding

Monitoring Recurrent Bladder Cancer with Electro-Phage BiosensorsR33CA206955 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI WEISS, GREGORY A. · 2016 to 2018
$932k
NCI NIH HHS R33 CA206955
6 · The paper itself

Abstract

The virus bioresistor (VBR) is a chemiresistor that directly transfers information from virus particles to an electrical circuit. Specifically, the VBR enables the label-free detection of a target protein that is recognized and bound by filamentous M13 virus particles, each with dimensions of 6 nm ( w) × 1 μm ( l), entrained in an ultrathin (∼250 nm) composite virus-polymer resistor. Signal produced by the specific binding of virus to target molecules is monitored using the electrical impedance of the VBR: The VBR presents a complex impedance that is modeled by an equivalent circuit containing just three circuit elements: a solution resistance ( R

Indexed as

Bacteriophage M13Biosensing TechniquesElectric ImpedanceEquipment DesignHumansLimit of DetectionSerum Albumin, HumanVirionSerum Albumin, HumanBacteriophagebiosensorchemiresistorhuman serum albuminimpedance

Identifiers

PMID29718676
PMCPMC6002937
OpenAlexW2799830411

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.