Applications of Next Generation Sequencing in Cancer Research

Lieferzeit: Lieferbar innerhalb 14 Tagen

192,59 

Volume 1: Decoding the Cancer Genome

ISBN: 1461476445
ISBN 13: 9781461476443
Herausgeber: Wei Wu/Hani Choudhry
Verlag: Springer Verlag GmbH
Umfang: XII, 383 S.
Erscheinungsdatum: 05.08.2013
Auflage: 1/2013
Produktform: Gebunden/Hardback
Einband: GEB

Applies the Next Generation Sequencing (NGS) technology to practical and real cancer research projects?Each chapter will briefly cover the outline for bioinformatic analysisThe primary audience are researchers and scientists in cancer biology, molecular biology, and other related areas in biomedical research

Artikelnummer: 4623342 Kategorie:

Beschreibung

Inhaltsangabe1.      The evolution of high-throughput sequencing technologies: from Sanger to single molecule sequencing.Chee-Seng Ku, Yudi Pawitan, Mengchu Wu, Dimitrios H. Roukos, David N. Cooper2.      Next generation sequencing in cancer epigenomics and potential clinical applications.Hong Kiat Ng, Dimitrios H. Roukos, Barry Iacopetta, Chee-Seng Ku3.      Next Generation Sequencing for Cancer Genomics.Aarti N Desai and Abhay Jere4.      Genomic Landscape of Cancer Metastasis.Arvind Kumar Singla, Chandini Thirukkumaran and Wei Wu5.      Mapping the HIF transcription factor in cancer by ChIP-seq technology.Johannes Schödel and David R. Mole6.      Application of next-generation sequencing to analysis of TGFß/SMAD4 targets in ovarian cancer.Russell Bonneville, Kenneth Nephew, and Victor X. Jin7.      Targeted Sequencing Strategies in Cancer Research.HoJoon Lee, Billy T. Lau and Hanlee P. Ji8.      Comprehensive genomic alterations in common cancer cell lines revealed by exome-sequencing.Han Chang, Donald G. Jackson, Paul S. Kayne, Petra B. Ross-Macdonald, Rolf-Peter Ryseck, and Nathan O. Siemers9.      Application of next generation sequencing in RNA biomarker discovery in cancer research.Stephen P. Fink, and Kishore Guda10.    Understanding the role of long non-coding RNAs in the cancer genome.Wei Wu and Jennifer A. Chan11.    Identification of piRNAs in HeLa cells by massive parallel sequencing.Yilu Lu and Yongxin Ma12.    microRNA expression in breast cancer revealed by deep sequencing technology.Thalia A. Farazi, Carl S. Leonhardt, and Thomas Tuschl13.    RNA-seq in prostate cancer research.ShanCheng Ren, Min Qu, Yinghao Sun14.    Next-generation sequencing for high-throughput RNA interference screens.Toby M. Ward, Anna-Maria Jegg, and Elizabeth Iorns15.    Assessment of Mapping and SNP-detection Algorithms for Next Generation Sequencing Data for Cancer Genomics.Weixin Wang, Feng Xu, Junwen Wang16.    Applications of very low coverage sequencing in cancer genomics ­ copy number, virus detection and survival.Henry M Wood17.    Tumor phylogenetics in the NGS era: Strategies, challenges and future prospects.Ayshwarya Subramanian, Stanley Shackney and Russell Schwartz18.    Impact and challenges in assessing tumor purity by next-generation sequencing.Xiaoping Su, Gabriel G. Malouf, and Francisco J. Esteva

Autorenporträt

InhaltsangabeIntroduction:next generation sequencing technology and cancer research.- The majority of total nuclear-encoded non-ribosomal RNA in a human cell is 'dark matter' unannotated RNA.- Total RNA-seq of breast cancer in hypoxia.- Altered antisense-to-sense transcript ratios in breast cancer.- Identification of piRNAs in Hela cells by massive parallel sequencing.- Discovery of new microRNAs by small RNAome deep sequencing in childhood acute lymphoblastic leukemia.- Whole-Exome Sequencing Identifies FAM20A Mutations as a Cause of Amelogenesis Imperfecta and Gingival Hyperplasia Syndrome.- Whole-exome sequencing in CIC and IDH1/2 contributing to human oligodendroglioma.- Genetic and structural variation in the gastric cancer kinome revealed through targeted deep sequencing.- Tumour evolution inferred by single-cell sequencing.- Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq.- Tracing the derivation of embryonic stem cells from the inner cell mass by single-cell RNASeq analysis.- Whole genome DNA methylation analysis based on high throughput sequencing technology.- Comparative methylome analysis of benign and malignant peripheral nerve sheath tumors.- High-resolution genome-wide mapping of HIF-binding sites by ChIP-seq.- MicroRNA transfection and AGO-bound CLIP-seq data sets reveal distinct determinants of miRNA action.- Genome-wide identification of polycomb-associated RNAs by RIP-seq.- Single-molecule sequencing: sequence methods to enable accurate quantisation.- Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells.- Reprogramming transcription by distinct classes of enhancers functionally defined byeRNA.- The genome information process for cancer research: the challenge and perspective.- Index.

Das könnte Ihnen auch gefallen …