Evidence map›Paper›PMID 23516511›Full record

ArticlePloS one2013

Quantitative FRET imaging to visualize the invasiveness of live breast cancer cells.

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

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  6. Frontiers in physics · 2019
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  18. Single-cell imaging of mechanotransduction in endothelial cells.Progress in molecular biology and translational science · 2014
    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

9 authors at 2 institutions in 1 country.

Shaoying LuDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Yi Wang
He Huang
Yijia Pan
Eric J Chaney
Stephen A Boppart
Howard Ozer
Alex Y Strongin
Yingxiao Wang
University of Illinois Urbana-Champaign · USSanford Burnham Prebys Medical Discovery Institute · US

Funding

FRET Imaging of Molecular Hierarchy at Subcellular Levels in MechanotransductionR01HL098472 · NHLBI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WANG, YINGXIAO · 2010 to 2014
$1.9M
Mechanical Force and Neural RegenerationR01NS063405 · NINDS · UNIVERSITY OF MIAMI CORAL GABLES · PI CHIBA, AKIRA, JAKOBSSON, ERIC G · 2008 to 2011
$1.2M
The integration of FLIM with FRET biosensors for the sub-cellular visualization oR21CA139272 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WANG, YINGXIAO · 2009 to 2010
$443k
NCI NIH HHS CA139272NCI NIH HHS R21 CA139272NHLBI NIH HHS HL098472NHLBI NIH HHS R01 HL098472NINDS NIH HHS NS063405NINDS NIH HHS R01 NS063405
6 · The paper itself

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.

Indexed as

Biosensing TechniquesBreast NeoplasmsCell AdhesionCell SurvivalCollagenFibronectinsFluorescence Resonance Energy TransferHumansMatrix Metalloproteinase 14MCF-7 CellsMolecular ImagingNeoplasm InvasivenessProteolysisUp-RegulationCollagenFibronectinsMatrix Metalloproteinase 14

Identifiers

PMID23516511
PMCPMC3596289
OpenAlexW2055881426

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.