Literature DB >> 31148455

Single-Cell-Derived Tumor-Sphere Formation and Drug-Resistance Assay Using an Integrated Microfluidics.

Long Pang1,2, Jing Ding2, Yuxin Ge1, Jianglin Fan1, Shih-Kang Fan3.   

Abstract

Considerable evidence points to cancer stem-like cells (CSCs) as responsible for promoting progression, metastasis, and drug resistance. Without damage to the cell biological properties, single-cell-derived tumor-sphere is encouraging options for CSCs identification and studies. Although several single cell-based microfluidic methods have been developed for CSCs studies, clarifying liaison between the biomechanics of cells (such as size and deformability) and stem (such as tumor-sphere formation and drug resistance) remains challenging. Herein, we present a platform of integrated microfluidics for the analysis of single-cell-derived tumor-sphere formation and drug resistance. Tumor-spheres derived from different biomechanics (size and/or deformation) single-cells could be formed efficiently using this device. To demonstrate the microfluidic-platform capability, a proof-of-concept experiment was implemented by evaluating single-cell-derived sphere formation of single glioblastoma cells with different biomechanics. Additionally, a course of chemotherapy to study these single-cell-derived spheres was determined by coculture with vincristine. The results indicate that tumor cell biomechanics is associated with single-cell-derived spheres formation; that is, smaller and/or more deformable tumor cells are more stem-like defined by the formation of single-cell-derived spheres than more prominent and/or lesser deformable tumor cells. Also, tumor-spheres derived from single small and/or more deformable tumor cell have higher drug resistance than more prominent and/or less deformable tumor cells. Our device offers a new approach for single-cell-derived sphere formation according to tumor cell different biomechanical properties. Furthermore, it offers a new method for CSC identification and downstream analysis on a single-cell level.

Entities:  

Year:  2019        PMID: 31148455     DOI: 10.1021/acs.analchem.9b01084

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


  8 in total

1.  Early Prediction of Single-Cell Derived Sphere Formation Rate Using Convolutional Neural Network Image Analysis.

Authors:  Yu-Chih Chen; Zhixiong Zhang; Euisik Yoon
Journal:  Anal Chem       Date:  2020-05-19       Impact factor: 8.008

2.  Spheroid-Like Cultures for Expanding Angiopoietin Receptor-1 (aka. Tie2) Positive Cells from the Human Intervertebral Disc.

Authors:  Xingshuo Zhang; Julien Guerrero; Andreas S Croft; Christoph E Albers; Sonja Häckel; Benjamin Gantenbein
Journal:  Int J Mol Sci       Date:  2020-12-10       Impact factor: 5.923

Review 3.  The Development of Single-Cell Metabolism and Its Role in Studying Cancer Emergent Properties.

Authors:  Dingju Wei; Meng Xu; Zhihua Wang; Jingjing Tong
Journal:  Front Oncol       Date:  2022-01-10       Impact factor: 6.244

Review 4.  The Advances in Glioblastoma On-a-Chip for Therapy Approaches.

Authors:  Arielly H Alves; Mariana P Nucci; Javier B Mamani; Nicole M E Valle; Eduarda F Ribeiro; Gabriel N A Rego; Fernando A Oliveira; Matheus H Theinel; Ricardo S Santos; Lionel F Gamarra
Journal:  Cancers (Basel)       Date:  2022-02-09       Impact factor: 6.639

5.  An integrated microfluidics platform with high-throughput single-cell cloning array and concentration gradient generator for efficient cancer drug effect screening.

Authors:  Biao Wang; Bang-Shun He; Xiao-Lan Ruan; Jiang Zhu; Rui Hu; Jie Wang; Ying Li; Yun-Huang Yang; Mai-Li Liu
Journal:  Mil Med Res       Date:  2022-09-22

Review 6.  Advances in the application of 3D tumor models in precision oncology and drug screening.

Authors:  Xiaoyong Guan; Shigao Huang
Journal:  Front Bioeng Biotechnol       Date:  2022-09-28

Review 7.  Single cell metabolomics using mass spectrometry: Techniques and data analysis.

Authors:  Renmeng Liu; Zhibo Yang
Journal:  Anal Chim Acta       Date:  2020-11-25       Impact factor: 6.558

8.  A Microfluidic Biosensor Based on Magnetic Nanoparticle Separation, Quantum Dots Labeling and MnO2 Nanoflower Amplification for Rapid and Sensitive Detection of Salmonella Typhimurium.

Authors:  Li Hao; Li Xue; Fengchun Huang; Gaozhe Cai; Wuzhen Qi; Miao Zhang; Qing'an Han; Zengli Wang; Jianhan Lin
Journal:  Micromachines (Basel)       Date:  2020-03-09       Impact factor: 2.891

  8 in total

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