Cancer Transcriptome Sequencing and Analysis
Identifying gene expression changes in cancer provides opportunities to identify biomarkers that can be informative in regard to risk and in the choice of treatment options. In recent years, advances in sequencing have provided not only a quantitative measure of gene expression, but the resolution of diverse species of RNA, alternative transcripts and allele-specific expression. As well, such data have revealed novel sequences such as those from pathogens, mutations resulting in amino acid differences and fusion transcripts resulting from translocations and other structural alterations, each of which can inform the development of novel treatment strategies or potential preventive measures. In this chapter, we will discuss how transcriptome sequencing is conducted and analyzed and provide examples that illustrate its utility in studying cancer samples.
BACKGROUND ::: Trauma is a global public health problem that claimed 5.1 million lives in 1990. Twenty percent of these deaths occurred days to weeks after injury and were due to sepsis or organ failure. Therapies to improve survival outcome after injury are limited by our inability to accurately stratify trauma patients at risk for these complications. In this review, the challenge of predicting post-traumatic complications is presented. There is potential for plasma DNA in diagnosis, prediction and monitoring non-traumatic disease. ::: ::: ::: CONCLUSIONS ::: The mechanisms and clearance of plasma DNA have a potential role as a predictor in trauma.