期刊
BIOSENSORS & BIOELECTRONICS
卷 42, 期 -, 页码 586-591出版社
ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2012.11.008
关键词
Microfluidics; Lab-on-a-Chip; Flow cytometry; Real-time assays; Cell cycle; Programmed cell death
类别
资金
- On-chip biotechnologies Co. Ltd.
- Australia Endeavor Awards, Department of Education, Employment and Workplace Relations, Australia
- Australian Research Council [ARC DE120101402]
- Faculty Research Development Fund, University of Auckland
- Early Career Research Excellence Award, University of Auckland
- Ministry of Science & Innovation (MSI), New Zealand
Multiparameter analysis of apoptosis in relation to cell cycle position is helpful in exploring mechanism of action of anticancer drugs that target specific molecular cogs of the cell cycle. This work demonstrates a new rationale for using microfluidic Lab-on-a-Chip flow cytometry (mu FCM) with a simple 2D hydrodynamic focusing for the multiparameter analysis of apoptosis and DNA ploidy analysis in human hematopoietic cancer cells. The microfluidic system employs disposable microfluidic cartridges fabricated using injection moulding in optically transparent poly(methylmethacrylate). The dedicated and miniaturized electronic hardware interface enables up to six parameter detections using a combination of spatially separated solid-state 473 nm (10 mW) and 640 nm (20 mW) lasers and x-y stage for rapid laser alignment adjustment. We provide evidence that the simple 2D flow focusing on a chip-based device is sufficient to measure cellular DNA content in both fixed and living tumor cells. The feasibility of using the mu FCM system for multiparameter analysis of caspase activation and dissipation of mitochondrial inner membrane potential (Delta Psi(m) loss) in relation to DNA content is also demonstrated. The data shows that straightforward microfluidic chip designs are sufficient to acquire high quality biological data when combined with sophisticated electronic interfaces. They can be a viable alternative to conventional FCM for multiparameter detection of programmed cell death. (C) 2012 Elsevier B.V. All rights reserved.
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