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Development of a Micromanipulation Platform with Passive-Active Hybrid Release Strategy for Single-Cell Separation

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... Some of these fluids, such as the tris-buffered saline used for DNA stretching [117], have relatively high salt concentrations, leading to a shortening of the Debye length and thus a decreasing importance of any stabilising electrostatic interactions [118]. Methods for reducing adhesion forces in microrobotics are based around reducing contact area between objects [112,119]. The reason for this can be easily appreciated when one considers the equations for the van der Waals force between a sphere and a plane (11) [120]-a key contributor to adhesion forces. ...
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Cells play significant roles in our day to day life. However the interactions of cells to cells and responses of organelles to molecules and intracellular behaviours are still not fully understood. To understand better physiological interactions among molecules, organelles, and cells, ensemble average measurement for millions of cells together is not detailed enough to provide the information in single cell level. For example, the biological function such as genome, epigenome, and transcriptome at bulk population may be informative, however it is not enough to provide the cell heterogeneity characteristics in phenotypic behaviors and molecular dynamics. Again it cannot provide any information of an underrepresented cell subpopulation that could have a differential or crucial function in a specific biological context, such as stem cells or tumor initiation cells. In contrast, single cell sequencing (SCS) is able to empirically infer the driver mutations and map the sequential mutation events during cancer development. The integration of genomics and transcriptomics in single cancer cells will also provide valuable information on the functional consequences of mutations and copy number variations in these cells. Isolated single cells can improve whole genome, transcriptome amplification and genome-wide analysis platform through advanced sequencing techniques, which not only allow high resolution genome and transcriptome analysis, but also it have potential to reveal the epigenome map of the target single cells. Undoubtedly, these novel approaches will produce profound health benefits, such as a more efficient treatment strategy for genetic disorders patients, which can be realized by revealing at single cell level. Apart from the powerful possibility for single cell analysis (SCA), the huge data generated from SCA process has also been emerging as a challenging issue. In recent years, bioinformatics technique has been employed to study “big data” from large ensembles of single cell data. Thus interestingly, the unresolved questions in the past, such as whether any of two single cells are really the same, if we are able to measure the parameters with sufficient accuracy? Is there two cells have similar biological function with predictable outcomes, if we treat cells with same drugs or environmental factors? it may be partially answered now, thanks to the unique information obtained from Single cell analysis. Thus, SCA, without doubt, is an efficient and valuable approach to understand the fundamental biology in embryonic development, detailed cell lineage tree in higher organisms, or dissection of tumor heterogeneity and disease, etc. To analyse the cellular function, SCA can be performed by combining capillary electrophoresis (CE) with laser induced fluorescence (LIF) detection, electrochemical detection (ED), flow cytometry or mass spectrometry etc. Recently the development of MEMS (Micro Electro Mechanical Systems) technology with integration of chemical engineering, chemistry, and life science with micro/nanofluidic devices to become Bio-MEMS, Lab on a Chip, or micro total analysis systems (µTAS), which can enable more complex manipulations of chemicals and biological agents in micro/nano fluidic environments. Micro/nanofluidic devices with the power to manipulate and detect bio-samples, reagents, or biomolecules at micro/nano scale can well fulfill the requirements for single cells analysis. Thus, micro-nanofluidic devices not only useful for cell manipulation, cell isolation, cell lysis, cell separation, but also it can easily control the biochemical, electrical, mechanical parameters for SCA analysis with a precise control of the dosage inside single cell, spatial resolution, or temporal pace. This book provides an overview of single cell isolation, injection, lysis and dynamic analysis as well as their heterogeneity study by using different miniaturized devices. As an important part SCA, different methods including electroporation, microinjection, optoporation or photoporation are introduced in detail. 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Chapter 14 discusses single cell characterization of Microalgal lipid contents with confocal Raman microscopy resulted in remarkable enhancements in the sensitivity, specificity, and spatio-temporal resolution for analyzing lipid content of algal isolates obtained through a mutagenesis screen of the green alga, Chlamydomonas reimhardtii, for increased lipid production at the single cell level. In last Chapter 15 demonstrates single-cell DNA devices to improve DNA delivery accuracy for retinoic acid-induced P19 neurons under optimal conditions with a mathematical modeling and physical hypothesis. Also the chapter describe a motion model based on parameters from dynamic transport, including an anterograde state, a retrograde state, and a pausing state. This book includes 15 chapters, and covers a wide spectrum of the essential aspects of single cell analysis. 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