Signal Sequencing for Gene Expression Profiling

摘要: Over the past decade, advances in DNA sequencing technologies have made entire genomes a reality. The ever-expanding size and detail of genomic data has created solid framework for rapid development sensitive, high throughput gene expression profiling techniques. In this chapter, we discuss, detail, ways which SAGE MPSS signal methods been used to conduct thorough comparative profiles, advantages these over traditional techniques (i.e. microarrays), their potential significantly contribute understanding perturbed signaling networks cancer. Because there are many factors that greatly influence quality produced by based profiling, specifics approaches analysis consider when mapping sequence transcriptome or genome presented to, hopefully, help researchers current future research. We use from prostate ovarian cancer illustrate power hold generating “deep” sensitive wide dynamic range) and, finally, discuss next generation application deciphering transcriptome. High coupled with broad, systems-based approach disease will substantially aid clinical tools diagnosis prognosis undoubtedly design novel efficacious therapeutics.