Ovarian Cancer: Methods and Protocols

ISBN-13: 9781493959624 / Angielski / Miękka / 2016 / 515 str.

Anastasia Malek; Oleg Tchernitsa

Opis

Ovarian cancer is the most lethal malignancy of the female reproductive system and is also the fifth leading cause of cancer death in women. Sharing common characteristics of cancer, ovarian malignancy possess several clinical and biological particularities In Ovarian Cancer: Methods and Protocols, expert researchers in the field provide methods that have been created or adapted to study various aspects of ovarian cancer. These methods and techniques are applicable to study genetic alterations present in ovarian cancer, structural and metabolic features of ovarian cancer cells, include in vitro and in vivo models that recapitulate ovarian cancer development and progression, and describe ovarian cancer-oriented drug delivery approaches. Methodological chapters are grouped into seven thematic parts, any of them is introduced by short subject review. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.Authoritative and practical, Ovarian Cancer: Methods and Protocols seeks to aid scientist to optimize study designs, to correctly select the most applicable methods, and to produce interesting and novel results.

Spis treści

 Part I: Evaluation of Genomic Alteration

 

1. Ovarian Cancer Genome

Evgeny N. Imyanitov

 

2. Identifying Associations Between Genomic Alterations in Tumours

Joshy George, Kylie L Gorringe, Gordon K. Smyth, and David DL Bowtell

 

3. Analysis of Genome-wide DNA Methylation Profiles by BeadChip Technology

Qiong Lin, Wolfgang Wagner, and Martin Zenke

 

4. Integrative Prediction of Gene Function and Platinum Free Survival from Genomic and Epigenetic Features in Ovarian Cancer

Kazimierz O. Wrzeszczynski, Vinay Varadan, Sitharthan Kamalakaran, Douglas A. Levine, Nevenka Dimitrova, and Robert Lucito

 

5. Survival Prediction Based on Inherited Gene Variation Analysis

Mine S. Cicek, Matthew J. Maurer, and Ellen L. Goode

 

Part II: Targeted Analysis of DNA Methylation

6. Main Principles and Outcomes of DNA Methylation Analysis

Susan K. Murphy, Christopher F. Bassil, and Zhiqing Huang

 

7. Methylation-specific PCR

Zhiqing Huang, Christopher F. Bassil, and Susan K. Murphy

 

8. Bisulfite Sequencing of Cloned Alleles

Zhiqing Huang, Christopher F. Bassil, and Susan K. Murphy

 

9. Bisulfite Pyrosequencing

Christopher F. Bassil, Zhiqing Huang, and Susan K. Murphy

 

Part III: Gene/Genome Expression Assessing

10. RNA Networks in Ovarian Cancer

Anastasia Malek

 

11. Microarray-based Transcriptome Profiling of Ovarian Cancer Cells

Juan Cui, Ying Xu and David Puett

 

12. Deep Transcriptome Profiling of Ovarian Cancer Cells using Next Generation Sequencing Approach

Lisha Li, Jie Liu, Wei Yu, Xiaoyan Lou, Bingding Huang, and Biaoyang Lin

 

13. Assessment of mRNA Splice Variants by qRT-PCR

 Ileabett M. Echevarria Vargas and Pablo E. Vivas-Mejía

 

14. Micro-RNA Profiling in Ovarian Cancer

Marilena V. Iorio and Carlo M. Croce

 

15. Detailed Analysis of Promoter-associated RNA

Sara Napoli

 

16. Integrating Multiple Types of Data to Identify MicroRNA-gene Co-modules

Shihua Zhang

 

 

Part IV: Cellular Structure and Metabolism Analysis

17. Energy Metabolism and Changes in Cellular Composition in Ovarian Cancer

Anastasia Malek

 

18. Metabolomic Profiling of Ovarian Carcinomas using Mass Spectrometry

Miranda Y. Fong, Jonathan McDunn, and Sham S. Kakar

 

19. Choline Metabolic Profiling by Magnetic Resonance Spectroscopy

Egidio Iorio, Alessandro Ricci, Maria Elena Pisanu, Marina Bagnoli, Franca Podo, and Silvana Canevari

 

20. Proteomic Profiling of Ovarian Cancer Models using TMT-LC-MS/MS

John Sinclair and John F. Timms

 

21. Characterization of Signalling Pathways by Reverse Phase Protein Arrays

Katharina Malinowsky, Claudia Wolff, Christina Schot,t and Karl-Friedrich Becker

 

22. N-Glycosylation Analysis by HPAEC-PAD and Mass Spectrometry

Sebastian Kandzia and Júlia Costa

 

 

Part V: In Vitro Assays in Ovarian Cancer Research

23. In vivo and in vitro Properties of Ovarian Cancer Cells

Anastasia Malek

 

 24. Establishement of Primary Cultures from Ovarian Tumour Tissue and Ascites Fluid

Brigitte L. Thériault, Lise Portelance, Anne-Marie Mes-Masson, and Mark W. Nachtigal

25. Ovarian Cancer Stem Cells Enrichment

Lijuan Yang and Dongmei Lai

 

26. Assessment of Resistance to Anoikis in Ovarian Cancer

Xiaoping He, Jeremy Chien, and Viji Shridhar

 

27. Analysis of EMT by Flow Cytometry and Immunohistochemistry

Robert Strauss, Jiri Bartek, and André Lieber

 

 

Part IV: Models of Ovarian Carcinogenesis

28. Challenges in Experimental Modeling of Ovarian Cancerogenesis

Jim Petrik

 

29. Transformation of the Human Ovarian Surface Epithelium with Genetically-defined Elements

Weiwei Shan and Jinsong Liu

 

30. In vitro Model of Spontaneous Mouse OSE Transformation

Paul C. Roberts and Eva M. Schmelz

 

31. Orthotopic, Syngeneic Mouse Model to Study the Effects of Epithelial-Stromal Interaction

James B. Greenaway and Jim J. Petrik

 

32. Immunocompetent Mouse Model of Ovarian Cancer for in vivo Imaging

Selene Nunez-Cruz and Nathalie Scholler

 

 

Part VII: Non-Viral drug Delivery System for Ovarian Cancer Therapy

33. Drug Delivery Approaches for Ovarian Cancer Therapy

Anastasia Malek

 

34. Polymer-Based Delivery of RNA-Based Therapeutics in Ovarian Cancer

Ulrike Weirauch, Daniela Gutsch, Sabrina Höbel, and Achim Aigner

 

35. Ligand-coupled lipoprotein for ovarian cancer-specific drug delivery

Ian R. Corbin

 

36. Mesoporous Silicon Particles for Sustained Gene Silencing

Nafis Hasan, Aman Mann, Mauro Ferrari, and Takemi Tanaka

 

37. Exosomes as a Potential Tool for a Specific delivery of Functional Molecules

Irina Nazarenko, Anne-Kathleen Rupp, and Peter Altevogt