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Chapter 1 An Introduction to Molecular Biology |
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1 | (14) |
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1 | (1) |
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1.1 DNA Structure and Gene Expression |
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1 | (5) |
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1.2 Molecular Biology Tools for Nucleic Acid Studies |
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6 | (7) |
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6 | (1) |
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1.2.2 Polymerase Chain Reaction |
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7 | (3) |
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10 | (3) |
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13 | (2) |
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Chapter 2 The Central Dogma in Molecular Biology |
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15 | (11) |
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15 | (1) |
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15 | (2) |
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17 | (1) |
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18 | (1) |
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2.4 Regulation of Gene Expression |
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18 | (5) |
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2.4.1 Transcriptional Control |
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19 | (2) |
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2.4.2 Post-transcriptional Modifications |
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21 | (1) |
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2.4.3 Translational Control |
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21 | (1) |
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2.4.4 Post-translational Control |
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22 | (1) |
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2.5 Limitations of the Central Dogma |
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23 | (1) |
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2.6 Single Cells and their Complexity |
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24 | (1) |
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24 | (2) |
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Chapter 3 From Unicellular to Multicellular Organisms: Tells from Evolution and from Development |
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26 | (10) |
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26 | (1) |
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26 | (6) |
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3.2 Cells from Development |
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32 | (3) |
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35 | (1) |
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Chapter 4 Understanding Cellular Differentiation |
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36 | (9) |
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36 | (1) |
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4.1 Development of the Cerebral Cortex |
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36 | (1) |
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4.2 Neuronal Differentiation |
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37 | (2) |
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4.3 Single Cell Analysis in Differentiation Processes |
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39 | (4) |
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43 | (2) |
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Chapter 5 Realistic Models of Neurons Require Quantitative Information at the Single-cell Level |
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45 | (9) |
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45 | (1) |
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45 | (4) |
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5.2 The Importance of Precise Neuronal Morphology |
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49 | (1) |
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5.3 Each Neuron has a Unique Neurochemistry |
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50 | (1) |
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51 | (1) |
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51 | (3) |
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Chapter 6 Application to Cancerogenesis: Towards Targeted Cancer Therapies? |
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54 | (7) |
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54 | (1) |
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6.1 Molecular Diagnosis in Cancer |
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54 | (1) |
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6.2 Detection and Malignant Origin of Disseminated Cancer Cells |
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55 | (2) |
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6.3 Genomic Studies of Single Disseminated Cancer Cells |
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57 | (1) |
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6.4 Oncogene Dependence and Tumor Suppressor Sensitivity in Metastasis Founder Cells |
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58 | (2) |
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60 | (1) |
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Chapter 7 Capturing a Single Cell |
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61 | (12) |
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61 | (1) |
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61 | (1) |
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7.2 Overview of Cell Sorting Technologies |
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62 | (1) |
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7.3 Laser Capture Microdissection Technologies |
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63 | (3) |
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7.3.1 Infrared Laser Capture Systems |
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63 | (3) |
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7.3.2 Ultraviolet Cutting Systems |
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66 | (1) |
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7.4 Protocols Before Laser Microdissection (Tissue Sampling and Preparation) |
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66 | (4) |
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7.4.1 Dissection from Fresh Frozen Tissue |
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67 | (1) |
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7.4.2 Dissection from Formalin-fixed Paraffin-embedded Tissue |
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67 | (2) |
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7.4.3 Immuno Laser Capture Microdissection |
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69 | (1) |
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7.4.4 Other Cell-labeling Methods |
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70 | (1) |
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70 | (1) |
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70 | (3) |
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Chapter 8 Looking at the DNA of a Single Cell |
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73 | (8) |
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73 | (1) |
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8.1 Challenges of Single Cell DNA Amplification |
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73 | (1) |
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8.2 Methods for Amplifying Genomic DNA of Single Cells |
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74 | (2) |
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8.3 Array Comparative Genomic Hybridization of Single Cells |
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76 | (1) |
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8.4 Combined Genome and Transcriptome Analysis of Single Cells |
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77 | (1) |
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8.5 Perspective on Single Cell DNA Analysis |
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78 | (1) |
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78 | (3) |
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Chapter 9 Gene Analysis of Single Cells |
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81 | (12) |
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81 | (1) |
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9.1 Single Cell RT-PCR After Patch Clamp |
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81 | (2) |
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9.2 Correlating mRNA Expression and Functional Properties of Single Cells |
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83 | (1) |
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9.3 Quantitative Analyses by scPCR |
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84 | (1) |
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9.4 Molecular and Functional Phenotyping of Neuronal Types |
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84 | (2) |
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9.5 Patch-clamp Harvesting of Single Cells |
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86 | (3) |
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89 | (1) |
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89 | (1) |
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9.8 Interpretation of scPCR Results |
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90 | (1) |
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91 | (1) |
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91 | (1) |
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91 | (2) |
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93 | (18) |
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93 | (1) |
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10.1 Motivation to Study Proteins at the Single Cell Level |
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93 | (4) |
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10.1.1 Proteins, mRNAs and DNA |
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94 | (1) |
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10.1.2 Sample Preparation |
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95 | (1) |
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10.1.3 Sub-proteome Analysis |
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96 | (1) |
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10.2 Analytical Strategies |
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97 | (8) |
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98 | (4) |
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10.2.2 Coupling Separation Techniques and Mass Spectrometry |
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102 | (3) |
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10.3 Strategies for Studying Proteins in Low Amounts of Samples |
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105 | (2) |
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10.3.1 How to Enhance the Sensitivity: Miniaturization, Integration, and Automation |
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105 | (1) |
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106 | (1) |
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107 | (1) |
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107 | (4) |
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Chapter 11 Microfluidics: Basic Concepts and Microchip Fabrication |
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111 | (39) |
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111 | (1) |
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11.1 Size Matters: An Introduction |
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111 | (2) |
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11.2 A Short Chronology of Microfluidics Research |
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113 | (3) |
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11.3 Microfluidics: Some Basics |
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116 | (9) |
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117 | (2) |
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119 | (4) |
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11.3.3 Digital Microfluidics: Segmented Flow |
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123 | (2) |
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11.4 Fabrication Techniques and Materials |
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125 | (18) |
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125 | (3) |
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128 | (3) |
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11.4.3 Microchip Materials |
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131 | (10) |
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11.4.4 From Fabrication to Application |
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141 | (2) |
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143 | (1) |
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144 | (6) |
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Chapter 12 Cell Capture and Lysis on a Chip |
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150 | (35) |
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150 | (1) |
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150 | (1) |
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12.2 Cell Capture on a Chip |
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151 | (12) |
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12.2.1 Mechanical Trapping |
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152 | (3) |
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12.2.2 Electrical Trapping |
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155 | (2) |
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157 | (1) |
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12.2.4 Alternative Trapping Techniques |
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158 | (3) |
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12.2.5 Conclusion on Cell Trapping |
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161 | (2) |
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12.3 Cell Lysis in a Chip |
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163 | (16) |
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164 | (1) |
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165 | (4) |
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12.3.3 "Alkaline" or Electrochemical Lysis |
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169 | (2) |
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171 | (3) |
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174 | (2) |
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12.3.6 Alternative Mechanical Lysis: Acoustic Lysis |
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176 | (1) |
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176 | (3) |
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12.3.8 Conclusion on Cell Lysis |
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179 | (1) |
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179 | (3) |
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182 | (3) |
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Chapter 13 DNA Analysis in Microfluidic Devices and their Application to Single Cell Analysis |
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185 | (11) |
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185 | (1) |
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13.1 Amplification on a Chip |
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186 | (4) |
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13.1.1 Polymerase Chain Reaction |
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186 | (3) |
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13.1.2 Isothermal Techniques |
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189 | (1) |
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190 | (1) |
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13.2.1 Real-time PCR Detection |
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190 | (1) |
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13.2.2 Capillary Electrophoresis |
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191 | (1) |
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13.3 Why and When Smaller is Better |
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191 | (1) |
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13.4 Applications of Microfluidic Single Cell Genetic Analysis in Microbial Ecology |
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192 | (1) |
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193 | (1) |
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194 | (2) |
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Chapter 14 Gene Expression Analysis on Microchips |
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196 | (13) |
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196 | (1) |
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197 | (3) |
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14.2 Multi-step Microfluidic RT-PCR |
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200 | (2) |
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14.3 One-step Microfluidic RNA Analysis |
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202 | (1) |
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14.4 Microfluidic cDNA Analysis |
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203 | (2) |
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14.5 Single Cell RNA Analysis |
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205 | (1) |
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206 | (1) |
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207 | (1) |
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207 | (2) |
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Chapter 15 Analysis of Proteins at the Single Cell Level |
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209 | (34) |
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209 | (1) |
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210 | (3) |
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15.1.1 Protein Analysis: The Challenge |
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210 | (1) |
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15.1.2 Why Microfluidics? |
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211 | (1) |
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15.1.3 Microfluidics and Protein Analysis |
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212 | (1) |
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15.2 Electrospray Ionization Mass Spectrometry |
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213 | (8) |
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15.2.1 Connections and Coupling |
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214 | (1) |
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15.2.2 Sample Processing: Purification and Digestion |
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215 | (5) |
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15.2.3 Integrated Systems |
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220 | (1) |
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221 | (4) |
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15.3.1 Microfabricated MALDI Targets |
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222 | (1) |
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15.3.2 Off-line Sample Preparation |
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222 | (2) |
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15.3.3 Integrated Microsystems |
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224 | (1) |
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15.4 Innovative Approaches for Protein Analysis at the Single Cell Level |
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225 | (13) |
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225 | (5) |
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15.4.2 Partially Invasive Analysis |
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230 | (4) |
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15.4.3 Non-invasive Analysis |
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234 | (4) |
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15.5 Conclusion and Perspectives |
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238 | (1) |
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238 | (5) |
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Chapter 16 A Concrete Case: A Microfluidic Device for Single Cell Whole Transcriptome Analysis |
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243 | (18) |
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243 | (1) |
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244 | (1) |
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16.2 Choice of Biological Protocol, Material and Fabrication Technique |
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245 | (3) |
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16.2.1 Protocols for Single Cell Whole Transcriptome Analysis |
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245 | (1) |
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16.2.2 Miniaturizing Reactions: Continuous Flows, Reaction Chambers or Droplet Micro-fluidic Reactions |
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245 | (1) |
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16.2.3 Choosing the Microchip Material |
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246 | (1) |
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16.2.4 Microchip Fabrication |
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246 | (2) |
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16.3 Integrating Reverse Transcription on a Chip |
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248 | (4) |
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16.3.1 Gene Expression Profiling of Single-Cell Scale Amounts of RNA |
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249 | (2) |
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16.3.2 Gene Expression Profiling of Single Cells |
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251 | (1) |
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16.4 Amplifying the Transcriptome on a Chip |
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252 | (3) |
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16.5 Detecting the Transcriptome on a Chip |
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255 | (3) |
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16.5.1 Microfluidics and Conventional Microarrays |
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255 | (1) |
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16.5.2 Microarray Development Using DNA Immobilization onto Microchannels |
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256 | (1) |
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16.5.3 Towards Transcriptome Analysis in the Liquid Phase |
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257 | (1) |
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16.6 Some Practical Conclusions |
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258 | (1) |
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258 | (3) |
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Chapter 17 Tiny Droplets for High-throughput Cell-based Assays |
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261 | (24) |
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261 | (1) |
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262 | (1) |
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17.2 Droplet-based Microfluidics |
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263 | (2) |
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17.2.1 EWOD and "Digital Microfluidics": Tools for High-content Screening |
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263 | (2) |
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17.2.2 Droplet-based Microfluidics: Tools for High-throughput Screening |
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265 | (1) |
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17.3 Generating and Manipulating Droplets |
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265 | (5) |
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17.3.1 Droplet Production |
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265 | (2) |
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267 | (1) |
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17.3.3 Droplet Flow, Droplet Synchronization, and Droplet Incubation |
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267 | (2) |
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17.3.4 Droplet Content Detection and Droplet Sorting |
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269 | (1) |
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17.4 In Vitro Compartmentalization of Biological Reactions |
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270 | (5) |
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17.4.1 Cell Compartmentalization in Aqueous Droplets |
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271 | (1) |
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17.4.2 Incubation and Cell Viability in Droplets |
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271 | (1) |
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17.4.3 Cell-based Assays and Cell Manipulation |
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272 | (3) |
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17.5 Towards Integrated Platforms for Cell-based Assays |
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275 | (3) |
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278 | (1) |
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279 | (6) |
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Chapter 18 New Detection Methods for Single Cells |
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285 | (25) |
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285 | (1) |
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286 | (1) |
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18.2 Bio-barcode Strategy |
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287 | (1) |
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287 | (1) |
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18.2.2 An Example: DNA Origami |
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287 | (1) |
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18.3 Imaging Gene Expression in Living Cells |
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288 | (5) |
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288 | (1) |
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18.3.2 Improvements in Photonic Microscopy |
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288 | (2) |
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18.3.3 Improvements in Fluorophore Design |
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290 | (3) |
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18.4 Quantum Dots-based Techniques |
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293 | (2) |
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18.4.1 Quantum Dots Bead-based Assays |
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294 | (1) |
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18.4.2 Single Quantum Dots-based DNA Nanosensors |
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294 | (1) |
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18.4.3 Quantum Dots for Super-resolution Microscopy |
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295 | (1) |
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18.5 Gold Nanoparticle-based Detection Methods |
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295 | (8) |
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18.5.1 Resonant Light Scattering Detection |
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298 | (1) |
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18.5.2 Molecular Beacons with Gold Nanoparticles |
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298 | (1) |
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18.5.3 Molecular Plasmonic Rulers |
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299 | (1) |
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18.5.4 Surface-enhanced Raman Scattering Detection |
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300 | (3) |
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18.6 Electrochemical Sensors |
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303 | (1) |
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304 | (1) |
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304 | (6) |
Subject Index |
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310 | |