Transcriptional Characterization of Glioma Neural Stem Cells Diva ...

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D.2 Pathway Images Appendix D.2 Pathway Images Figure D.1: Integrated GBM pathway overlaid with Tag-seq G144 expression data. The colour intensity of the nodes (green) indicates the magnitude of the expression. 282
D.2 Pathway Images Appendix Figure D.2: Integrated GBM pathway overlaid with Tag-seq G144ED expression data. The colour intensity of the nodes (green) indicates the magnitude of the expression. 283
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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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Chapter 3 Brain Cancer Stem Cells C
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3.1 The Cancer Stem Cell Hypothesis
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3.1 The Cancer Stem Cell Hypothesis
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3.2 Brain Cancer Stem Cells Introdu
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3.3 Glioma Culture Systems Introduc
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Chapter 4 The Non-Coding RNA World
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4.1 MicroRNA regulation Introductio
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4.1 MicroRNA regulation Introductio
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4.2 Target Prediction and Validatio
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Methods 93
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5.1 Tag-sequencing Data Processing
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5.1 Tag-sequencing Data Processing
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5.2 Array Comparative Genomic Hybri
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5.4 Quantitative Real Time-PCR Vali
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5.5 Literature Mining Methods Figur
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5.5 Literature Mining Methods How m
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5.6 Differential Isoform Expression
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5.9 External Dataset Expression Cor
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5.10 Glioblastoma Pathway Construct
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5.11 MicroRNA Target Prediction Ana
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Results 119
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6.2 Tag mapping Results Table 6.1:
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6.2 Tag mapping Results 123 Figure
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6.3 Copy Number Aberrations Results
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6.3 Copy Number Aberrations Results
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6.4 Core Differentially Expressed G
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6.5 Large-scale qRT-PCR Validation
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6.6 Literature Mining for Different
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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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Page 277 and 278: End Select End If End Sub Appendix
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Page 281 and 282: Appendix C Long ncRNAs We detected
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Page 293 and 294: D.2 Pathway Images Appendix Figure
Page 295 and 296: E. Exon Array Data Appendix Average
Page 309 and 310: F. MicroRNA Array Data Appendix Tab
Page 311 and 312: F. MicroRNA Array Data Appendix GNS
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Page 315 and 316: Ln Natural logarithm LOH Loss of He
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Page 323 and 324: Bibliography [1] Cell signaling tec
Page 325 and 326: [38] G. Bain, D. Kitchens, M. Yao,
Page 327 and 328: [78] S. Bustin, V. Benes, J. Garson
Page 329 and 330: [112] M. Czystowska, J. Han, M. Szc
Page 331 and 332: [153] T. Fujiwara, M. Bandi, M. Nit
Page 333 and 334: [192] M. Hernandez, M. Nieto, and M
Page 335 and 336: [231] T.-M. Kim, W. Huang, R. Park,
Page 337 and 338: [268] H. Lemjabbar-Alaoui, A. van Z
Page 339 and 340: [305] K. MAEDA, S. MATSUHASHI, K. T
Page 341 and 342:
[342] H. Moon, M. Ahn, J. Park, K.
Page 343 and 344:
[379] D. Park and J. Rich. Biology
Page 345 and 346:
[417] P. Rakic. Guidance of neurons
Page 347 and 348:
[456] T. Shima, N. Okumura, T. Taka
Page 349 and 350:
[490] P. A. C. t’Hoen, Y. Ariyure
Page 351 and 352:
[523] T. Watanabe, A. Takeda, T. Ts
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