Transcriptional Characterization of Glioma Neural Stem Cells Diva ...

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5.4 Quantitative Real Time-PCR Validation Methods 104
5.4 Quantitative Real Time-PCR Validation Methods 105
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Transcriptional Characterization of
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This dissertation is my own work an
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Acknowledgements I would like to th
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5.9 External Dataset Expression Cor
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Introduction 1
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1.1 Glial Cells in the Central Nerv
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1.2 Glioblastoma Multiforme Introdu
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1.3 Primary and Secondary Glioblast
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1.4 Pathways Involved in Glioblasto
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1.5 Pathway Crosstalk Introduction
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Chapter 2 Neurogenesis Contents 2.1
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2.1 Radial Glia Introduction VZ adj
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2.2 Neural Stem Cells Introduction
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Page 61 and 62: 2.2 Neural Stem Cells Introduction
Page 63 and 64: 2.2 Neural Stem Cells Introduction
Page 65 and 66: Chapter 3 Brain Cancer Stem Cells C
Page 67 and 68: 3.1 The Cancer Stem Cell Hypothesis
Page 69 and 70: 3.1 The Cancer Stem Cell Hypothesis
Page 71 and 72: 3.2 Brain Cancer Stem Cells Introdu
Page 81 and 82: 3.3 Glioma Culture Systems Introduc
Page 93 and 94: Chapter 4 The Non-Coding RNA World
Page 95 and 96: 4.1 MicroRNA regulation Introductio
Page 97 and 98: 4.1 MicroRNA regulation Introductio
Page 99 and 100: 4.2 Target Prediction and Validatio
Page 101 and 102: Methods 93
Page 103 and 104: 5.1 Tag-sequencing Data Processing
Page 105 and 106: 5.1 Tag-sequencing Data Processing
Page 107 and 108: 5.2 Array Comparative Genomic Hybri
Page 109 and 110: 5.4 Quantitative Real Time-PCR Vali
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Page 115 and 116: 5.5 Literature Mining Methods Figur
Page 117 and 118: 5.5 Literature Mining Methods How m
Page 119 and 120: 5.6 Differential Isoform Expression
Page 121 and 122: 5.9 External Dataset Expression Cor
Page 123 and 124: 5.10 Glioblastoma Pathway Construct
Page 125 and 126: 5.11 MicroRNA Target Prediction Ana
Page 127 and 128: Results 119
Page 129 and 130: 6.2 Tag mapping Results Table 6.1:
Page 131 and 132: 6.2 Tag mapping Results 123 Figure
Page 133 and 134: 6.3 Copy Number Aberrations Results
Page 135 and 136: 6.3 Copy Number Aberrations Results
Page 137 and 138: 6.4 Core Differentially Expressed G
Page 145 and 146: 6.5 Large-scale qRT-PCR Validation
Page 151 and 152: 6.6 Literature Mining for Different
Page 153 and 154: 6.7 Isoform Differential Expression
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6.7 Isoform Differential Expression
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6.8 Long ncRNA Differential Express
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6.8 Long ncRNA Differential Express
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Chapter 7 Dataset Correlation Analy
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7.1 Enrichment Analysis Results Tab
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7.1 Enrichment Analysis Results Fig
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7.1 Enrichment Analysis Results Tab
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7.2 Glioblastoma Expression Signatu
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7.3 Tumour Expression Correlation R
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7.4 Survival Analysis Results Table
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7.4 Survival Analysis Results 867 g
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7.5 Glioblastoma Pathway Analysis R
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8.1 Principles Results say, this is
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8.3 Databases Results Figure 8.1: O
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8.3 Databases Results Figure 8.3: W
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8.4 Filters Results Bayesian method
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8.5 Target Prediction Ensemble Anal
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9.1. Digital Profiling of GNS Cell
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9.2. MicroRNA Target Prediction Ana
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9.3. Concluding Remarks Appendix pr
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A.1 Differential Expression Appendi
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A.2 Classified Differential Express
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A.3 Quantitative RT-PCR Appendix Ta
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A.3 Quantitative RT-PCR Appendix We
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A.3 Quantitative RT-PCR Appendix Ta
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A.3 Quantitative RT-PCR Appendix We
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A.4 Tag-seq vs qRT-PCR Correlation
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Appendix "BEX5", "DIAPH2", "GBP3",
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End Select End If End Sub Appendix
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If NameStr.ToLower().Equals("query"
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Appendix C Long ncRNAs We detected
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C. Long ncRNAs Appendix Tag Accessi
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D.1 Pathway Interactions Appendix F
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D.2 Pathway Images Appendix Figure
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D.2 Pathway Images Appendix Figure
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E. Exon Array Data Appendix Average
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F. MicroRNA Array Data Appendix Tab
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F. MicroRNA Array Data Appendix GNS
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F. MicroRNA Array Data Appendix GNS
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Ln Natural logarithm LOH Loss of He
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3.3 Schematisation of cell cycle ph
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8.3 Workflows at the core of the pr
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7.1 Selected Gene Ontology terms an
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Bibliography [1] Cell signaling tec
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