Evidence map›Paper›PMID 26601267›Full record

ArticleScience advances2015

Detection of single amino acid mutation in human breast cancer by disordered plasmonic self-similar chain.

Maria Laura Coluccio, Francesco Gentile, Gobind Das, Annalisa Nicastri, Angela Mena Perri, Patrizio Candeloro, Gerardo Perozziello, Remo Proietti Zaccaria, Juan Sebastian Totero Gongora, Salma Alrasheed and 4 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 75 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

14 authors at 3 institutions in 2 countries.

Maria Laura ColuccioBio-Nanotechnology and Engineering for Medicine (BIONEM), Department of Experimental and Clinical Medicine, University of Magna Graecia Viale Europa, Germaneto, Catanzaro 88100, Italy.
Francesco GentileBio-Nanotechnology and Engineering for Medicine (BIONEM), Department of Experimental and Clinical Medicine, University of Magna Graecia Viale Europa, Germaneto, Catanzaro 88100, Italy. ; Department of Electrical Engineering and Information Technology, University of Naples, Naples 80125, Italy.
Gobind DasPhysical Sciences and Engineering (PSE) and Biological and Environment Science and Engineering Divisions (BESE), King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Annalisa NicastriBio-Nanotechnology and Engineering for Medicine (BIONEM), Department of Experimental and Clinical Medicine, University of Magna Graecia Viale Europa, Germaneto, Catanzaro 88100, Italy.
Angela Mena PerriBio-Nanotechnology and Engineering for Medicine (BIONEM), Department of Experimental and Clinical Medicine, University of Magna Graecia Viale Europa, Germaneto, Catanzaro 88100, Italy.
Patrizio CandeloroBio-Nanotechnology and Engineering for Medicine (BIONEM), Department of Experimental and Clinical Medicine, University of Magna Graecia Viale Europa, Germaneto, Catanzaro 88100, Italy.
Gerardo PerozzielloBio-Nanotechnology and Engineering for Medicine (BIONEM), Department of Experimental and Clinical Medicine, University of Magna Graecia Viale Europa, Germaneto, Catanzaro 88100, Italy.
Remo Proietti ZaccariaNanostructures, Istituto Italiano di Tecnologia, via Morego 30, Genova 16163, Italy.
Juan Sebastian Totero GongoraPRIMALIGHT, Electrical Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Salma AlrasheedPhysical Sciences and Engineering (PSE) and Biological and Environment Science and Engineering Divisions (BESE), King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Andrea FratalocchiPRIMALIGHT, Electrical Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Tania LimongiPhysical Sciences and Engineering (PSE) and Biological and Environment Science and Engineering Divisions (BESE), King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Giovanni CudaBio-Nanotechnology and Engineering for Medicine (BIONEM), Department of Experimental and Clinical Medicine, University of Magna Graecia Viale Europa, Germaneto, Catanzaro 88100, Italy.
Enzo Di FabrizioBio-Nanotechnology and Engineering for Medicine (BIONEM), Department of Experimental and Clinical Medicine, University of Magna Graecia Viale Europa, Germaneto, Catanzaro 88100, Italy. ; Physical Sciences and Engineering (PSE) and Biological and Environment Science and Engineering Divisions (BESE), King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Magna Graecia University · ITKing Abdullah University of Science and Technology · SAItalian Institute of Technology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Control of the architecture and electromagnetic behavior of nanostructures offers the possibility of designing and fabricating sensors that, owing to their intrinsic behavior, provide solutions to new problems in various fields. We show detection of peptides in multicomponent mixtures derived from human samples for early diagnosis of breast cancer. The architecture of sensors is based on a matrix array where pixels constitute a plasmonic device showing a strong electric field enhancement localized in an area of a few square nanometers. The method allows detection of single point mutations in peptides composing the BRCA1 protein. The sensitivity demonstrated falls in the picomolar (10(-12) M) range. The success of this approach is a result of accurate design and fabrication control. The residual roughness introduced by fabrication was taken into account in optical modeling and was a further contributing factor in plasmon localization, increasing the sensitivity and selectivity of the sensors. This methodology developed for breast cancer detection can be considered a general strategy that is applicable to various pathologies and other chemical analytical cases where complex mixtures have to be resolved in their constitutive components.

Indexed as

BRCA1 proteinnano lensplasmonicsself-similar chain devicesingle molecule detectionsingle point mutation detection

Identifiers

PMID26601267
PMCPMC4643778
OpenAlexW2170770672

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.