Literature DB >> 22263607

Quantitative study of the dynamic tumor-endothelial cell interactions through an integrated microfluidic coculture system.

Chunhong Zheng1, Liang Zhao, Gui'e Chen, Ying Zhou, Yuhong Pang, Yanyi Huang.   

Abstract

The interaction between tumor and endothelial cells is crucial to cancer metastasis and angiogenesis. We developed a novel microfluidic device to assess the cell-cell interaction quantitatively at the single cell resolution. This integrated chip offers 16 coculture experiments in parallel with controllable microenvironments to study interactions between cells dynamically. We applied this approach to model the tumor invasion using Hela cells and human umbilical vein endothelial cells (HUVECs) and monitored the migration of both. We observed the retreatment of HUVECs upon the approach of Hela cells during coculture, indicating that the interaction between two cells was mediated by soluble factors. This interaction was further analyzed through quantitatively processing the phase-contrast microscopic time-lapse images of each individual coculture chamber. We also confirmed this paracrine effect by varying the frequency of medium change. This microfluidic technique is highly controllable, contamination free, fully automatic, and inexpensive. This approach not only offers a unique way to quantitatively study the interaction between cells but also provides accurate spatial-temporal tunability of microenvironments for cell coculture. We believe this method, intrinsically high-throughput and quantitative, will greatly facilitate the study of cell-cell interactions and communications.

Entities:  

Mesh:

Year:  2012        PMID: 22263607     DOI: 10.1021/ac2032029

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  18 in total

1.  Automated profiling of individual cell-cell interactions from high-throughput time-lapse imaging microscopy in nanowell grids (TIMING).

Authors:  Amine Merouane; Nicolas Rey-Villamizar; Yanbin Lu; Ivan Liadi; Gabrielle Romain; Jennifer Lu; Harjeet Singh; Laurence J N Cooper; Navin Varadarajan; Badrinath Roysam
Journal:  Bioinformatics       Date:  2015-06-09       Impact factor: 6.937

Review 2.  Recent advances in the use of microfluidic technologies for single cell analysis.

Authors:  Travis W Murphy; Qiang Zhang; Lynette B Naler; Sai Ma; Chang Lu
Journal:  Analyst       Date:  2017-12-18       Impact factor: 4.616

Review 3.  Modeling tumor microenvironments in vitro.

Authors:  Mingming Wu; Melody A Swartz
Journal:  J Biomech Eng       Date:  2014-02       Impact factor: 2.097

Review 4.  Biomimetic tumor microenvironment on a microfluidic platform.

Authors:  Huipeng Ma; Hui Xu; Jianhua Qin
Journal:  Biomicrofluidics       Date:  2013-01-07       Impact factor: 2.800

5.  Synthetic tumor networks for screening drug delivery systems.

Authors:  Balabhaskar Prabhakarpandian; Ming-Che Shen; Joseph B Nichols; Charles J Garson; Ivy R Mills; Majed M Matar; Jason G Fewell; Kapil Pant
Journal:  J Control Release       Date:  2015-01-17       Impact factor: 9.776

6.  Probing the Bi-directional Interaction Between Microglia and Gliomas in a Tumor Microenvironment on a Microdevice.

Authors:  Rui Gu; Xu Zhang; Ge Zhang; Tingting Tao; Haibo Yu; Lianqing Liu; Ying Dou; Aiping Li; Jianhua Qin
Journal:  Neurochem Res       Date:  2017-02-24       Impact factor: 3.996

7.  Rapid Prototyping of Heterotypic Cell-Cell Contacts.

Authors:  Ross N Andrews; Kyu-Shik Mun; Carl Scott; Chia-Chi Ho; Carlos C Co
Journal:  J Mater Chem B       Date:  2013-08-30       Impact factor: 6.331

8.  Three-dimensional microfluidic model for tumor cell intravasation and endothelial barrier function.

Authors:  Ioannis K Zervantonakis; Shannon K Hughes-Alford; Joseph L Charest; John S Condeelis; Frank B Gertler; Roger D Kamm
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-06       Impact factor: 11.205

Review 9.  Probing cell-cell communication with microfluidic devices.

Authors:  Feng Guo; Jarrod B French; Peng Li; Hong Zhao; Chung Yu Chan; James R Fick; Stephen J Benkovic; Tony Jun Huang
Journal:  Lab Chip       Date:  2013-07-10       Impact factor: 6.799

10.  Physical supports from liver cancer cells are essential for differentiation and remodeling of endothelial cells in a HepG2-HUVEC co-culture model.

Authors:  Geraldine Giap Ying Chiew; Afu Fu; Kar Perng Low; Kathy Qian Luo
Journal:  Sci Rep       Date:  2015-06-08       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.