Exploring Ribosome Positioning on Translating Transcripts with Ribosome Profiling

Recent technological advances (e.g., microarrays and massively parallel sequencing) have facilitated genome-wide measurement of many aspects of gene regulation. Ribosome profiling is a high-throughput sequencing method used to measure gene expression at the level of translation. This is accomplished by quantifying both the number of translating ribosomes and their locations on mRNA transcripts [1]. The inventors of this approach have published several methods papers detailing its implementation and addressing the basics of ribosome profiling data analysis [2–4]. Here we describe our lab’s procedure, which differs in some respects from those published previously. In addition, we describe a data analysis pipeline, Ribomap, for ribosome profiling data. Ribomap allocates sequence reads to alternative mRNA isoforms, normalizes sequencing bias along transcripts using RNA-seq data, and outputs count vectors of per-codon ribosome occupancy for each transcript.

Source: Springer protocols feed by Genetics/Genomics - October 16, 2015 Category: Genetics & Stem Cells Source Type: news