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Cancer Genomics And Genetics, Biot 640 Group 3

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Cancer Genomics and Genetics BIOT 640 Group 3 Dr. Anthony Cristillo By Joana Oduro, Melissa Oladokun, Sonia Ottou, Taylor Perry, Sulalith Rajapakse, Meredith Rutledge Table of contents Introduction 3 NGS-based RNA sequencing (RNA-Seq) 4 Chromatin immunoprecipitation sequencing (ChIP-Seq) 7 Paired tumor-normal (T/N) whole-genome sequencing (WGS) 8 References 10 Introduction The relatively recent completion of the Human Genome Project has prompted a change in the approach of a lot of the current endeavors by broadening cancer research away from a focus on single genes, such as BRCA1 and BRCA2, to that of the entire genome of the individual.(Pasche & Absher, 2011). Tailoring therapy is a well-entrenched strategy employed when it comes to tackling cancer given that each patient harbors a unique constellation of different permutations that influence the probability, onset, and progression of their disease. The difference in disease prognosis can be mild to severe and is largely driven by the subtle but unique differences in genetic makeup of individuals. High-throughput tools have been developed to analyze nucleic acid and generate data that could help improve diagnosis and treatment of cancers by identifying new potential biomarkers for disease and also potential drug targets for the development of new therapies. This paper explores some of the available technologies that are at the forefront of

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