Transcriptional Characterization of Glioma Neural Stem Cells Diva ...

More documents

Recommendations

Info

7.5 Glioblastoma Pathway Analysis Results 194 Figure 7.10: Four integrated GBM pathways overlaid with Tag-seq expression level measures for each GNS cell line. Lighter green nodes indicate lower expression than darker green nodes. The blue box highlights the location of PTEN; the red box of the antigen presentation network of genes; the green box of the location of the CDKN2A-CDKN2B locus genes; the yellow box of the location of genes NR0B1, PARP3 and PARP12.
7.5 Glioblastoma Pathway Analysis Results 195
Page 1 and 2:
Transcriptional Characterization of
Page 3 and 4:
This dissertation is my own work an
Page 5 and 6:
Acknowledgements I would like to th
Page 7 and 8:
5.9 External Dataset Expression Cor
Page 9 and 10:
Introduction 1
Page 11 and 12:
1.1 Glial Cells in the Central Nerv
Page 13 and 14:
1.2 Glioblastoma Multiforme Introdu
Page 15 and 16:
Page 17 and 18:
Page 19 and 20:
1.3 Primary and Secondary Glioblast
Page 21 and 22:
Page 23 and 24:
Page 25 and 26:
Page 27 and 28:
Page 29 and 30:
1.4 Pathways Involved in Glioblasto
Page 31 and 32:
Page 33 and 34:
Page 35 and 36:
Page 37 and 38:
Page 39 and 40:
1.5 Pathway Crosstalk Introduction
Page 41 and 42:
Chapter 2 Neurogenesis Contents 2.1
Page 43 and 44:
2.1 Radial Glia Introduction VZ adj
Page 45 and 46:
2.2 Neural Stem Cells Introduction
Page 47 and 48:
Page 49 and 50:
Page 51 and 52:
Page 53 and 54:
Page 55 and 56:
Page 57 and 58:
Page 59 and 60:
Page 61 and 62:
Page 63 and 64:
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 73 and 74:
Page 75 and 76:
Page 77 and 78:
Page 79 and 80:
Page 81 and 82:
3.3 Glioma Culture Systems Introduc
Page 83 and 84:
Page 85 and 86:
Page 87 and 88:
Page 89 and 90:
Page 91 and 92:
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
Page 111 and 112:
Page 113 and 114:
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 139 and 140:
Page 141 and 142:
Page 143 and 144:
Page 145 and 146:
6.5 Large-scale qRT-PCR Validation
Page 147 and 148:
Page 149 and 150:
Page 151 and 152: 6.6 Literature Mining for Different
Page 153 and 154: 6.7 Isoform Differential Expression
Page 165 and 166: 6.8 Long ncRNA Differential Express
Page 167 and 168: 6.8 Long ncRNA Differential Express
Page 169 and 170: Chapter 7 Dataset Correlation Analy
Page 171 and 172: 7.1 Enrichment Analysis Results Tab
Page 173 and 174: 7.1 Enrichment Analysis Results Fig
Page 175 and 176: 7.1 Enrichment Analysis Results Tab
Page 177 and 178: 7.2 Glioblastoma Expression Signatu
Page 179 and 180: 7.3 Tumour Expression Correlation R
Page 191 and 192: 7.4 Survival Analysis Results Table
Page 193 and 194: 7.4 Survival Analysis Results 867 g
Page 195 and 196: 7.5 Glioblastoma Pathway Analysis R
Page 201: 7.5 Glioblastoma Pathway Analysis R
Page 211 and 212: 8.1 Principles Results say, this is
Page 213 and 214: 8.3 Databases Results Figure 8.1: O
Page 215 and 216: 8.3 Databases Results Figure 8.3: W
Page 217 and 218: 8.4 Filters Results Bayesian method
Page 219 and 220: 8.5 Target Prediction Ensemble Anal
Page 229 and 230: 9.1. Digital Profiling of GNS Cell
Page 239 and 240: 9.2. MicroRNA Target Prediction Ana
Page 241 and 242: 9.3. Concluding Remarks Appendix pr
Page 243 and 244: A.1 Differential Expression Appendi
Page 253 and 254:
A.1 Differential Expression Appendi
Page 255 and 256:
Page 257 and 258:
Page 259 and 260:
A.2 Classified Differential Express
Page 261 and 262:
Page 263 and 264:
Page 265 and 266:
A.3 Quantitative RT-PCR Appendix Ta
Page 267 and 268:
A.3 Quantitative RT-PCR Appendix We
Page 269 and 270:
A.3 Quantitative RT-PCR Appendix Ta
Page 271 and 272:
A.3 Quantitative RT-PCR Appendix We
Page 273 and 274:
A.4 Tag-seq vs qRT-PCR Correlation
Page 275 and 276:
Appendix "BEX5", "DIAPH2", "GBP3",
Page 277 and 278:
End Select End If End Sub Appendix
Page 279 and 280:
If NameStr.ToLower().Equals("query"
Page 281 and 282:
Appendix C Long ncRNAs We detected
Page 283 and 284:
C. Long ncRNAs Appendix Tag Accessi
Page 285 and 286:
D.1 Pathway Interactions Appendix F
Page 287 and 288:
Page 289 and 290:
Page 291 and 292:
D.2 Pathway Images Appendix Figure
Page 293 and 294:
D.2 Pathway Images Appendix Figure
Page 295 and 296:
E. Exon Array Data Appendix Average
Page 297 and 298:
Page 299 and 300:
Page 301 and 302:
Page 303 and 304:
Page 305 and 306:
Page 307 and 308:
Page 309 and 310:
F. MicroRNA Array Data Appendix Tab
Page 311 and 312:
F. MicroRNA Array Data Appendix GNS
Page 313 and 314:
F. MicroRNA Array Data Appendix GNS
Page 315 and 316:
Ln Natural logarithm LOH Loss of He
Page 317 and 318:
3.3 Schematisation of cell cycle ph
Page 319 and 320:
8.3 Workflows at the core of the pr
Page 321 and 322:
7.1 Selected Gene Ontology terms an
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
show all

Transcriptional Characterization of Glioma Neural Stem Cells Diva ...

Create successful ePaper yourself

Delete template?

Save as template?