Evidence map›Paper›PMID 26516922›Full record

ArticleBiosensors2015

Sensing of p53 and EGFR Biomarkers Using High Efficiency SERS Substrates.

Peter Owens, Nigel Phillipson, Jayakumar Perumal, Gerard M O'Connor, Malini Olivo

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review of SERS Substrates for Chemical Sensing.Nanomaterials (Basel, Switzerland) · 2017
    Review
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

5 authors at 1 institution in 1 country.

Peter OwensCentre for Microscopy and Imaging, National University Ireland, University Road, Galway, Ireland. peter.owens@nuigalway.ie.
Nigel PhillipsonSchool of Physics, National University Ireland, University Road, Galway, Ireland. N.Phillipson2@nuigalway.ie.
Jayakumar PerumalBio-Optical Imaging Group, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), 11 Biopolis Way, #02-02 Helios 138667, Singapore. Jayakumar_Perumal@sbic.a-star.edu.sg.
Gerard M O'ConnorSchool of Physics, National University Ireland, University Road, Galway, Ireland. gerard.oconnor@nuigalway.ie.
Malini OlivoBio-Optical Imaging Group, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), 11 Biopolis Way, #02-02 Helios 138667, Singapore. Malini_Olivo@sbic.a-star.edu.sg.
Agency for Science, Technology and Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we describe a method for the determination of protein concentration using Surface Enhanced Raman Resonance Scattering (SERRS) immunoassays. We use two different Raman active linkers, 4-aminothiophenol and 6-mercaptopurine, to bind to a high sensitivity SERS substrate and investigate the influence of varying concentrations of p53 and EGFR on the Raman spectra. Perturbations in the spectra are due to the influence of protein-antibody binding on Raman linker molecules and are attributed to small changes in localised mechanical stress, which are enhanced by SERRS. These influences are greatest for peaks due to the C-S functional group and the Full Width Half Maximum (FWHM) was found to be inversely proportional to protein concentration.

Indexed as

Aniline CompoundsAntibodies, ImmobilizedBiomarkersErbB ReceptorsHumansImmunoassayMercaptopurineMicroscopyNanostructuresSilverSpectrum Analysis, RamanSulfhydryl CompoundsSurface PropertiesTumor Suppressor Protein p534-aminothiophenolAniline CompoundsAntibodies, ImmobilizedBiomarkersErbB ReceptorsMercaptopurineSilverSulfhydryl CompoundsTumor Suppressor Protein p53biomarkerprotein sensingRaman spectroscopysurface-enhanced Raman scattering

Identifiers

PMID26516922
PMCPMC4697139
OpenAlexW1837981565

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.