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.
Inhaltsverzeichnis
Introduction: 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 by eRNA.- The genome information process for cancer research: the challenge and perspective.- Index.