↓ Skip to main content

PLOS

Cells Assemble Invadopodia-Like Structures and Invade into Matrigel in a Matrix Metalloprotease Dependent Manner in the Circular Invasion Assay

Overview of attention for article published in PLOS ONE, February 2012
Altmetric Badge

Mentioned by

blogs
1 blog
patent
1 patent

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
115 Mendeley
citeulike
1 CiteULike
Title
Cells Assemble Invadopodia-Like Structures and Invade into Matrigel in a Matrix Metalloprotease Dependent Manner in the Circular Invasion Assay
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0030605
Pubmed ID
Authors

Xinzi Yu, Laura M. Machesky

Abstract

The ability of tumor cells to invade is one of the hallmarks of the metastatic phenotype. To elucidate the mechanisms by which tumor cells acquire an invasive phenotype, in vitro assays have been developed that mimic the process of cancer cell invasion through basement membrane or in the stroma. We have extended the characterization of the circular invasion assay and found that it provides a simple and amenable system to study cell invasion in matrix in an environment that closely mimics 3D invasion. Furthermore, it allows detailed microscopic analysis of both live and fixed cells during the invasion process. We find that cells invade in a protease dependent manner in this assay and that they assemble focal adhesions and invadopodia that resemble structures visualized in 3D embedded cells. We propose that this is a useful assay for routine and medium throughput analysis of invasion of cancer cells in vitro and the study of cells migrating in a 3D environment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 1 <1%
France 1 <1%
Germany 1 <1%
Unknown 108 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 32%
Researcher 18 16%
Student > Master 10 9%
Student > Doctoral Student 9 8%
Student > Bachelor 9 8%
Other 17 15%
Unknown 15 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 41 36%
Biochemistry, Genetics and Molecular Biology 28 24%
Engineering 9 8%
Medicine and Dentistry 6 5%
Chemistry 4 3%
Other 9 8%
Unknown 18 16%