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Evaluation of glycophenotype in breast cancer by quantum dot-lectin histochemistry

Overview of attention for article published in International Journal of Nanomedicine, December 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 tweeters

Citations

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30 Dimensions

Readers on

mendeley
22 Mendeley
Title
Evaluation of glycophenotype in breast cancer by quantum dot-lectin histochemistry
Published in
International Journal of Nanomedicine, December 2013
DOI 10.2147/ijn.s51065
Pubmed ID
Authors

Adriana Fontes, Camila Andrade, Paulo Cabral Filho, Denise Tenorio, Beate Santos, Eduardo Beltrão, Luiz Carvalho Junior

Abstract

Cell surface glycoconjugates play an important role in differentiation/dedifferentiation processes and lectins are employed to evaluate them by several methodologies. Fluorescent probes are considered a valuable tool because of their ability to provide a particular view, and are more detailed and sensitive in terms of cell structure and molecular content. The aim of this study was to evaluate and compare the expression and distribution of glycoconjugates in normal human breast tissue, and benign (fibroadenoma), and malignantly transformed (invasive ductal carcinoma) breast tissues. For this, we used mercaptosuccinic acid-coated Cadmium Telluride (CdTe) quantum dots (QDs) conjugated with concanavalin A (Con A) or Ulex europaeus agglutinin I (UEA I) lectins to detect α-D-glucose/mannose and L-fucose residues, respectively. The QD-lectin conjugates were evaluated by hemagglutination activity tests and carbohydrate inhibition assays, and were found to remain functional, keeping their fluorescent properties and carbohydrate recognition ability. Fluorescence images showed that different regions of breast tissue expressed particular types of carbohydrates. While the stroma was preferentially and intensely stained by QD-Con A, ductal cells were preferentially labeled by QD-UEA I. These results indicate that QD-lectin conjugates can be used as molecular probes and can help to elucidate the glycoconjugate profile in biological processes.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 27%
Student > Master 5 23%
Student > Ph. D. Student 4 18%
Student > Doctoral Student 3 14%
Professor 2 9%
Other 1 5%
Unknown 1 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 27%
Agricultural and Biological Sciences 5 23%
Physics and Astronomy 2 9%
Materials Science 2 9%
Medicine and Dentistry 1 5%
Other 3 14%
Unknown 3 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2013.
All research outputs
#2,124,960
of 4,507,509 outputs
Outputs from International Journal of Nanomedicine
#382
of 1,146 outputs
Outputs of similar age
#51,742
of 120,960 outputs
Outputs of similar age from International Journal of Nanomedicine
#57
of 127 outputs
Altmetric has tracked 4,507,509 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 120,960 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.