Ovarian cancer : methods and protocols / edited by Anastasia Malek, Oleg Tchernitsa.
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,...
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Full Text (via Springer) |
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| Format: | eBook |
| Language: | English |
| Published: |
New York :
Humana Press,
©2013.
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| Series: | Methods in molecular biology (Clifton, N.J.) ;
v. 1049. |
| Subjects: |
MARC
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| 245 | 0 | 0 | |a Ovarian cancer : |b methods and protocols / |c edited by Anastasia Malek, Oleg Tchernitsa. |
| 264 | 1 | |a New York : |b Humana Press, |c ©2013. | |
| 264 | 4 | |c ©2013. | |
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| 490 | 1 | |a Methods in molecular biology, |x 1940-6029 ; |v 1049. | |
| 505 | 0 | 0 | |t Ovarian cancer genome / |r Evgeny N. Imyanitov -- |t Identifying associations between genomic alterations in tumors / |r Joshy George [and others] -- |t Analysis of genome-wide DNA methylation profiles by BeadChip technology / |r Qiong Lin, Wolfgang Wagner, and Martin Zenke -- |t Integrative prediction of gene function and platinum-free survival from genomic and epigenetic features in ovarian cancer / |r Kazimierz O. Wrzeszczynski [and others] -- |t Survival prediction based on inherited gene variation analysis / |r Mine S. Cicek, Matthew J. Maurer, and Ellen L. Goode -- |t Main principles and outcomes of DNA methylation analysis / |r Susan K. Murphy, Christopher F. Bassil, and Zhiqing Huang -- |t Methylation-specific PCR / |r Zhiqing Huang, Christopher F. Bassil, and Susan K. Murphy -- |t Bisulfite sequencing of cloned alleles / |r Zhiqing Huang, Christopher F. Bassil, and Susan K. Murphy -- |t Bisulfite pyrosequencing / |r Christopher F. Bassil, Zhiqing Huang, and Susan K. Murphy -- |t RNA networks in ovarian cancer / |r Anastasia Malek -- |t Microarray-based transcriptome profiling of ovarian cancer cells / |r Juan Cui, Ying Xu, and David Puett -- |t Deep transcriptome profiling of ovarian cancer cells using next-generation sequencing approach / |r Lisha Li [and others] -- |t Assessment of mRNA splice variants by qRT-PCR / |r Ileabett M. Echevarria Vargas and Pablo E. Vivas-Mejía -- |t MicroRNA profiling in ovarian cancer / |r Marilena V. Iorio and Carlo M. Croce -- |t Detailed analysis of promoter-associated RNA / |r Sara Napoli -- |t Integrating Multiple Types of Data to Identify MicroRNA-Gene Co-modules / |r Shihua Zhang -- |t Energy metabolism and changes in cellular composition in ovarian cancer / |r Anastasia Malek -- |t Metabolomic profiling of ovarian carcinomas using mass spectrometry / |r Miranda Y. Fong, Jonathan McDunn, and Sham S. Kakar -- |t Choline metabolic profiling by magnetic resonance spectroscopy / |r Egidio Iorio [and others] -- |t Proteomic Profiling of ovarian cancer models using TMT-LC- MS/MS / |r John Sinclair and John F. Timms -- |t Characterization of signalling pathways by reverse phase protein arrays / |r Katharina Malinowsky [and others] -- |t N-glycosylation analysis by HPAEC-PAD and mass spectrometry / |r Sebastian Kandzia and Júlia Costa -- |t In vivo and in vitro properties of ovarian cancer cells / |r Anastasia Malek -- |t Establishment of primary cultures from ovarian tumor tissue and ascites fluid / |r Brigitte L. Thériault [and others] -- |t Ovarian cancer stem cells enrichment / |r Lijuan Yang and Dongmei Lai -- |t Assessment of resistance to anoikis in ovarian cancer / |r Xiaoping He, Jeremy Chien, and Viji Shridhar -- |t Analysis of EMT by flow cytometry and immunohistochemistry / |r Robert Strauss, Jiri Bartek, and André Lieber -- |t Challenges in experimental modeling of ovarian cancerogenesis / |r Jim J. Petrik -- |t Transformation of the human ovarian surface epithelium with genetically defined elements / |r Weiwei Shan and Jinsong Liu -- |t In vitro model of spontaneous mouse OSE transformation / |r Paul C. Roberts and Eva M. Schmelz -- |t Orthotopic, syngeneic mouse model to study the effects of epithelial-stromal interaction / |r James B. Greenaway and Jim J. Petrik -- |t Immunocompetent mouse model of ovarian cancer for in vivo imaging / |r Selene Nunez-Cruz and Nathalie Scholler -- |t Drug delivery approaches for ovarian cancer therapy / |r Anastasia Malek -- |t Polymer-based delivery of RNA-based therapeutics in ovarian cancer / |r Ulrike Weirauch [and others] -- |t Ligand-coupled lipoprotein for ovarian cancer-specific drug delivery / |r Ian R. Corbin -- |t Mesoporous silicon particles for sustained gene Silencing / |r Nafis Hasan [and others] -- |t Exosomes as a potential tool for a specific delivery of functional molecules / |r Irina Nazarenko, Anne-Kathleen Rupp, and Peter Altevogt. |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a 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. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Ovaries |x Cancer. |0 http://id.loc.gov/authorities/subjects/sh2010104661. | |
| 650 | 7 | |a Ovaries |x Cancer. |2 fast |0 (OCoLC)fst01049283. | |
| 700 | 1 | |a Malek, Anastasia, |e editor. |0 http://id.loc.gov/authorities/names/no2013084356 |1 http://isni.org/isni/0000000433578554. | |
| 700 | 1 | |a Tchernitsa, Oleg, |e editor. |0 http://id.loc.gov/authorities/names/no2013084359 |1 http://isni.org/isni/0000000419820738. | |
| 776 | 0 | 8 | |i Printed edition: |z 9781627035460. |
| 830 | 0 | |a Methods in molecular biology (Clifton, N.J.) ; |v v. 1049. |0 http://id.loc.gov/authorities/names/n92002874. | |
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