Evidence map›Paper›PMID 22763391›Full record

ArticleBiomedical microdevices2013

Modeling and experiments of magneto-nanosensors for diagnostics of radiation exposure and cancer.

Dokyoon Kim, Jung-Rok Lee, Eric Shen, Shan X Wang

Abstract read
In one paragraph

Article in Biomedical microdevices, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Dokyoon KimDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA.
Jung-Rok LeeDepartment of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.
Eric ShenDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA.
Shan X WangDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA. sxwang@stanford.edu.

Funding

TRANS-NETWORK PROJECTSU54CA143907 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HILLIS, WILLIAM DANIEL · 2009 to 2013
$15.2M
Pilot ProjectsU54CA151459 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2010 to 2014
$12.6M
Cancer Sample Preparation with Micromachined Magnetic Sifter and NanoparticlesR33CA138330 · NCI · STANFORD UNIVERSITY · PI WAKELEE, HEATHER ANN, WANG, SHAN X. · 2010 to 2012
$738k
Application of magnetic nanoarray technology to the rapid diagnosis of invasivR21AI085566 · NIAID · CALIFORNIA INSTITUTE FOR MEDICAL RES · PI STEVENS, DAVID ALEC, WANG, SHAN X. · 2010 to 2011
$568k
NCI NIH HHS R33 CA138330NCI NIH HHS R33CA138330NCI NIH HHS U54 CA143907NCI NIH HHS U54CA143907NCI NIH HHS U54 CA151459NCI NIH HHS U54CA151459NIAID NIH HHS R21 AI085566NIAID NIH HHS R21AI085566
6 · The paper itself

Abstract

We present a resistive network model, protein assay data, and outlook of the giant magnetoresistive (GMR) spin-valve magneto-nanosensor platform ideal for multiplexed detection of protein biomarkers in solutions. The magneto-nanosensors are designed to have optimal performance considering several factors such as sensor dimension, shape anisotropy, and magnetic nanoparticle tags. The resistive network model indicates that thinner spin-valve sensors with narrower width lead to higher signals from magnetic nanoparticle tags. Standard curves and real-time measurements showed a sensitivity of ~10 pM for phosphorylated-structural maintenance of chromosome 1 (phosphor-SMC1), ~53 fM for granulocyte colony stimulation factor (GCSF), and ~460 fM for interleukin-6 (IL6), which are among the representative biomarkers for radiation exposure and cancer.

Indexed as

ElectronicsMagnetic PhenomenaModels, TheoreticalAnimalsBiomarkersBiosensing TechniquesEnvironmental ExposureNanoparticlesNanotechnologyNeoplasmsBiomarkers

Identifiers

PMID22763391
PMCPMC3674217

What OpenQuestion holds

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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.