דורון ליפסון (Foundation Medicine Inc)
יום שלישי, 28.12.2010, 15:00
Digital Gene Expression (DGE) profiling by next-generation sequencing (NGS)
technologies has the potential of becoming the leading method for quantitative
analysis of complete transcriptomes. While similar approaches have been
implemented in the past by methods such as SAGE, one of the key advantages of
NGS technologies is an extremely high throughput which enables accurate
quantification over a wide dynamic range of transcript abundances, as well as
relatively low sample preparation bias.
In this talk I will describe the molecular and computational aspects of a
single-molecule sequencing based approach to DGE and its application to model
yeast and human transcriptomes. In following studies, the ability of this
method to exhaustively characterize the transcriptome has led to the discovery
of a novel type of gene-termini-associated small RNA as well as a potential new
bio-marker for early detection of pancreatic cancer.
Host: Dr. Zohar Yakhini.