Literature DB >> 28262015

Efficient Capture of Cancer Cells by Their Replicated Surfaces Reveals Multiscale Topographic Interactions Coupled with Molecular Recognition.

Wenshuo Wang1, Haijun Cui1, Pengchao Zhang1, Jingxin Meng, Feilong Zhang1, Shutao Wang1.   

Abstract

Cell-surface topographic interactions can direct the design of biointerfaces, which have been widely used in isolation of circulating tumor cells or fundamental cell biological research. By using three kinds of cancer cell-replicated surfaces with differentiated structures, we uncover that multiscale-cooperative topographic interactions (at both nanoscale and microscale) coupled with molecular recognition enable efficient and specific isolation of cancer cells. The cell replicas precisely inherit the structural features from the original cancer cells, providing not only preferable structures for matching with cancer cells but also a unique platform to interrogate whether certain cancer cells can optimally match with their own replicated surfaces. The results reveal that cancer cells do not show preferential recognitions to their respective replicas, while the capture agent-modified surfaces with hierarchical structures exhibit improved cancer cell capture efficiencies. Two levels of topographic interactions between cancer cells and cell replica surfaces exist. Nanoscale filopodia on cancer cells can topographically interact with different nanostructures on replica surfaces. In addition, microscale concave/convex on surfaces provide suitable sites for trapping cancer cells. This study may promote smart design of multiscale biofunctional materials that can specifically recognize cancer cells.

Entities:  

Keywords:  biointerface; cancer cell recognition; cell mineralization; hierarchical structure; topographic interaction

Mesh:

Year:  2017        PMID: 28262015     DOI: 10.1021/acsami.7b01147

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  3 in total

1.  Circulating Tumor Cell Phenotyping via High-Throughput Acoustic Separation.

Authors:  Mengxi Wu; Po-Hsun Huang; Rui Zhang; Zhangming Mao; Chuyi Chen; Gabor Kemeny; Peng Li; Adrian V Lee; Rekha Gyanchandani; Andrew J Armstrong; Ming Dao; Subra Suresh; Tony Jun Huang
Journal:  Small       Date:  2018-07-03       Impact factor: 13.281

2.  Computational and experimental studies of a cell-imprinted-based integrated microfluidic device for biomedical applications.

Authors:  Sepideh Yazdian Kashani; Mostafa Keshavarz Moraveji; Shahin Bonakdar
Journal:  Sci Rep       Date:  2021-06-09       Impact factor: 4.379

3.  Selective biofunctionalization of 3D cell-imprinted PDMS with collagen immobilization for targeted cell attachment.

Authors:  Mahrokh Babaei; Shahin Bonakdar; Bahram Nasernejad
Journal:  Sci Rep       Date:  2022-07-27       Impact factor: 4.996

  3 in total

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