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Quantitative FRET Imaging to Visualize the Invasiveness of Live Breast Cancer Cells

Overview of attention for article published in PLOS ONE, March 2013
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Title
Quantitative FRET Imaging to Visualize the Invasiveness of Live Breast Cancer Cells
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0058569
Pubmed ID
Authors

Shaoying Lu, Yi Wang, He Huang, Yijia Pan, Eric J. Chaney, Stephen A. Boppart, Howard Ozer, Alex Y. Strongin, Yingxiao Wang

Abstract

Matrix metalloproteinases (MMPs) remodel tumor microenvironment and promote cancer metastasis. Among the MMP family proteases, the proteolytic activity of the pro-tumorigenic and pro-metastatic membrane-type 1 (MT1)-MMP constitutes a promising and targetable biomarker of aggressive cancer tumors. In this study, we systematically developed and characterized several highly sensitive and specific biosensors based on fluorescence resonant energy transfer (FRET), for visualizing MT1-MMP activity in live cells. The sensitivity of the AHLR-MT1-MMP biosensor was the highest and five times that of a reported version. Hence, the AHLR biosensor was employed to quantitatively profile the MT1-MMP activity in multiple breast cancer cell lines, and to visualize the spatiotemporal MT1-MMP activity simultaneously with the underlying collagen matrix at the single cell level. We detected a significantly higher level of MT1-MMP activity in invasive cancer cells than those in benign or non-invasive cells. Our results further show that the high MT1-MMP activity was stimulated by the adhesion of invasive cancer cells onto the extracellular matrix, which is precisely correlated with the cell's ability to degrade the collagen matrix. Thus, we systematically optimized a FRET-based biosensor, which provides a powerful tool to detect the pro-invasive MT1-MMP activity at single cell levels. This readout can be applied to profile the invasiveness of single cells from clinical samples, and to serve as an indicator for screening anti-cancer inhibitors.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Belgium 1 2%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 40%
Researcher 8 19%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 2 5%
Other 4 9%
Unknown 5 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 23%
Biochemistry, Genetics and Molecular Biology 8 19%
Physics and Astronomy 4 9%
Medicine and Dentistry 3 7%
Engineering 3 7%
Other 10 23%
Unknown 5 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 March 2013.
All research outputs
#18,332,122
of 22,701,287 outputs
Outputs from PLOS ONE
#154,062
of 193,818 outputs
Outputs of similar age
#148,972
of 195,964 outputs
Outputs of similar age from PLOS ONE
#3,951
of 5,426 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,818 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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