Next Generation Sequencing in Cancer Research: Volume 1: Decoding the Cancer Genome

ISBN-13: 9781489988089 / Angielski / Miękka / 2015 / 383 str.

Wei Wu; Hani Choudhry

Opis

Latest generation sequencing revolutionizes the fields ofcancer research and oncology.This follow-up volume focuses more extensivelyonsingle cell sequencing ofcancer and trials in drug resistance. Anotherexciting featureis thebioinformatics tools given, that can be used oncancer genomestudies.Scientists around the world are attempting to find the root cause of cancer. A reasonablecancer treatment plan and potential cure is more optimistic now with the unfolding of the cancer genome. Thecollective knowledge of howto leverage next generation sequencing in cancer research is paving the way.The important information provided in this volumewillmove thefield forward indeveloping noveltargeted cancer therapies."

Spis treści

1.      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. Cooper

2.      Next generation sequencing in cancer epigenomics and potential clinical applications….Hong Kiat Ng, Dimitrios H. Roukos, Barry Iacopetta, Chee-Seng Ku

3.      Next Generation Sequencing for Cancer Genomics…..Aarti N Desai and Abhay Jere

4.      Genomic Landscape of Cancer Metastasis….Arvind Kumar Singla, Chandini Thirukkumaran and Wei Wu

5.      Mapping the HIF transcription factor in cancer by ChIP-seq technology…..Johannes Schödel and David R. Mole

6.      Application of next-generation sequencing to analysis of TGFβ/SMAD4 targets in ovarian cancer…..Russell Bonneville, Kenneth Nephew, and Victor X. Jin

7.      Targeted Sequencing Strategies in Cancer Research…..HoJoon Lee, Billy T. Lau and Hanlee P. Ji

8.      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. Siemers

9.      Application of next generation sequencing in RNA biomarker discovery in cancer research…..Stephen P. Fink, and Kishore Guda

10.    Understanding the role of long non-coding RNAs in the cancer genome.....Wei Wu and Jennifer A. Chan

11.    Identification of piRNAs in HeLa cells by massive parallel sequencing.....Yilu Lu and Yongxin Ma

12.    microRNA expression in breast cancer revealed by deep sequencing technology.....Thalia A. Farazi, Carl S. Leonhardt, and Thomas Tuschl

13.    RNA-seq in prostate cancer research.....ShanCheng Ren, Min Qu, Yinghao Sun

14.    Next-generation sequencing for high-throughput RNA interference screens.....Toby M. Ward, Anna-Maria Jegg, and Elizabeth Iorns

15.    Assessment of Mapping and SNP-detection Algorithms for Next Generation Sequencing Data for Cancer Genomics.....Weixin Wang, Feng Xu, Junwen Wang

16.    Applications of very low coverage sequencing in cancer genomics ­ copy number, virus detection and survival.....Henry M Wood

17.    Tumor phylogenetics in the NGS era: Strategies, challenges and future prospects.....Ayshwarya Subramanian, Stanley Shackney and Russell Schwartz

18.    Impact and challenges in assessing tumor purity by next-generation sequencing…..Xiaoping Su, Gabriel G. Malouf, and Francisco J. Esteva

Blurb

Next Generation Sequencing (NGS) technology has placed important
milestones in the life science and changed the direction
in biomedical science inclucing cancer. Scientists around the
world are attempting to find the root cause of cancer and they
are looking for more direct and effective means to cure cancer.
This journey to conquer cancer is more optimistic now with
the unfolding of the cancer genome. This book focuses on the
application of various NGS in the frontier cancer genome research.
The 18 chapters in this volume have been written by
scientists with many outstanding contributions in their area
and the join effort has created comprehensive insightful view
on (1) Overview of next generation sequencing technology in
cancer genome research (2) Genome regulation and targeted
sequencing in cancer (3) RNA transcriptome (coding and
non-coding) in cancer genome (4)The challenges of computational
biology for cancer genome study.

This book is a state-of-the-art reference to all scientific researchers
and onologists who are interested in the understanding
of the cancer initiatome at whole genome scale and to those
are keen to translate the ‘base pairs to bedside’ for better management
of cancer patients in the era of personalized medicine.