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Metabolism-Driven High-Throughput Cancer Identification with GLUT5-Specific Molecular Probes

Overview of attention for article published in Biosensors, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 1,507)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
30 Mendeley
Title
Metabolism-Driven High-Throughput Cancer Identification with GLUT5-Specific Molecular Probes
Published in
Biosensors, April 2018
DOI 10.3390/bios8020039
Pubmed ID
Authors

Srinivas Kannan, Vagarshak V. Begoyan, Joseph R. Fedie, Shuai Xia, Łukasz J. Weseliński, Marina Tanasova, Smitha Rao

Abstract

Point-of-care applications rely on biomedical sensors to enable rapid detection with high sensitivity and selectivity. Despite advances in sensor development, there are challenges in cancer diagnostics. Detection of biomarkers, cell receptors, circulating tumor cells, gene identification, and fluorescent tagging are time-consuming due to the sample preparation and response time involved. Here, we present a novel approach to target the enhanced metabolism in breast cancers for rapid detection using fluorescent imaging. Fluorescent analogs of fructose target the fructose-specific transporter GLUT5 in breast cancers and have limited to no response from normal cells. These analogs demonstrate a marked difference in adenocarcinoma and premalignant cells leading to a novel detection approach. The vastly different uptake kinetics of the analogs yields two unique signatures for each cell type. We used normal breast cells MCF10A, adenocarcinoma cells MCF7, and premalignant cells MCF10AneoT, with hepatocellular carcinoma cells HepG2 as the negative control. Our data indicated that MCF10AneoT and MCF7 cells had an observable difference in response to only one of the analogs. The response, observed as fluorescence intensity, leads to a two-point assessment of the cells in any sample. Since the treatment time is 10 min, there is potential for use in rapid on-site high-throughput diagnostics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 20%
Student > Bachelor 4 13%
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Professor 1 3%
Other 2 7%
Unknown 9 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 23%
Chemistry 4 13%
Engineering 3 10%
Agricultural and Biological Sciences 2 7%
Environmental Science 1 3%
Other 3 10%
Unknown 10 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 69. 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 20 June 2018.
All research outputs
#531,424
of 23,567,572 outputs
Outputs from Biosensors
#5
of 1,507 outputs
Outputs of similar age
#13,258
of 330,426 outputs
Outputs of similar age from Biosensors
#2
of 29 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,507 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 99% 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 330,426 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.