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. Different fluidic systems (e.g. continuous micro/nano-fluidic devices, microfluidic cytometry) and their integration with sensor technology, optical and hydrodynamic stretcher etc. are also covered. The role of single cell analysis in system biology, genomics, epigenomics, proteomics, cancer transcriptomics, metabolomics, the applications of single cell analysis for bio- catalysis, metabolic as well as bioprocess engineering and the future challenges of single cell analysis with their advantage as well as their limitations are also discussed. The book contain fifteen chapters and each chapter provides a short abstract, a brief introduction, related experimental methods, detail analysis schemes, conclusions, and some comments on the technology advancement/limitation for single cell analysis. Chapter 1 describes single cell behavioral assay for heterogeneity study by single cell isolation and tracking to investigate cell proliferation, differentiation and lineage. There are two platforms discussed, including cell migration platforms to measure cell motility, deformation, invasiveness, and cell-cell interaction platforms to study the alteration of cell behaviors caused by reciprocal interactions among cells. Chapter 2 presents single cell analysis in system biology, which enable the isolation of individual cells in a form that accommodates systomics studies of the biological methods and then deployed on such isolated cells to generate system-level information. Finally it describes the bioinformatics technique that is specifically directed towards single-cell studies. Chapter 3 presents advanced single cell electroporation and localized single cell electroporation technique with intracellular delivery and lysis by using different geometry based micro/nanofluidic devices. Chapter 4 focuses on single cell microinjection technique which intended to provide a basic knowledge of the microinjection, advantages, disadvantages and its development, applications, basic instrumentation required along with a basic protocol and its uses. Chapter 5 discuses optical tools for single cell analysis ranging from optical trapping systems which provide a contact-free technique for the manipulation of micron-scale objects to a selection of different optically-mediated cell membrane disruption methods available for lysis and/or delivery of material. Two newly-developed optoelectrokinetic techniques, termed rapid electrokinetic patterning (REP) and optoelectronic tweezers (OETs) with their detail setup, fabrication, assessment and the fundamental principles to their applications in cell-related research are discussed in Chapter 6. Chapter 7 describe continuous micro/nano-fluidic devices for single cell analysis which broadly divided into two parts—single-cell manipulation (SCM) and single-cell analysis (SCA). The first part of the chapter presents state-of-the-art techniques developed to handle single cells, including counting, sorting, positioning, and culturing, which are essential steps in many biological and medical assays. The second part of this chapter describe manipulation combine with other stimulating and sensing techniques for the observation and characterization of single cells. Chapter 8 emphasize the relationships between cellular mechanical properties and various disease processes and changes in cell states. The mechanical properties of single cells is measured using atomic force microscopy and micropipette aspiration. Finally the microfluidic approaches including microfluidic constriction channels, microfluidic optical stretchers and microfluidic hydrodynamic stretchers, which are being developed as next-generation, automated, and high-throughput techniques for characterization of the mechanical properties of single cells. The advantages and limitations of each technique are compared and future research opportunities also highlighted. Chapter 9 presents cytometry of single cells for biology and biomedicine where it describe the advantages of combining different approaches in some kind of integrated instrument that could perform both flow cytometry and image analysis on single cells as well as examining the internal contents of each single cell. Chapter 10 discusses the role of genomics and epigenomics in single cell where it briefly describe the major technological developments achieved in single cell “omics” as well as the technical challenges to overcome and the potential of future developments. This chapter also discuss the breakthroughs of single cell “omics” with a special focus on the integration of all biological methods to understand whole-organism biology. Chapter 11 focuses on single cell metabolomics in system biology, where the chapter emphasize the recent improvement of analytical tools to unravel single cell metabolomics, as well as their specificity. This includes the exciting development and expansion of analytical tool technologies in metabolite analysis. Chapter 12 presents different types of cell based drug delivery systems to facilitate treatments for infectious and noninfectious diseases, potentiality and limitations of single cell assay along with the clinical aspects of cell based drug delivery. Chapter 13 describes single cell sequencing (SCS) methodologies, existing applications especially its capability in reconstructing the evolutionary history of cancer progression and in profiling cancer transcriptome. 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. All of these chapters are written by scientific experts in their own fields and provide technical tips based on valuable experience and knowledge. Potential problems and challenges as well as possible solutions are also provided with an emphasis on the future prospectus. We hope this book can be an enjoyable reading material and abundant resource to provide essential information to those scientists in academia and engineers in industry working on different aspects of SCA. .
Editor
Dr. Fan-Gang Tseng
Dr. Tuhin Subhra Santra