
Accurate, Streamlined Analysis of mRNA Translation by Sucrose Gradient Fractionation
Author(s) -
Soufiane Aboulhouda,
Rachael Di Santo,
Gabriel Thérizols,
David E. Weinberg
Publication year - 2017
Publication title -
bio-protocol
Language(s) - English
Resource type - Journals
ISSN - 2331-8325
DOI - 10.21769/bioprotoc.2573
Subject(s) - ribosome , messenger rna , translation (biology) , coding region , fractionation , rna , gene expression , biology , translational regulation , polysome , ribosome profiling , computational biology , protein biosynthesis , microbiology and biotechnology , gene , chemistry , biochemistry , chromatography
The efficiency with which proteins are produced from mRNA molecules can vary widely across transcripts, cell types, and cellular states. Methods that accurately assay the translational efficiency of mRNAs are critical to gaining a mechanistic understanding of post-transcriptional gene regulation. One way to measure translational efficiency is to determine the number of ribosomes associated with an mRNA molecule, normalized to the length of the coding sequence. The primary method for this analysis of individual mRNAs is sucrose gradient fractionation, which physically separates mRNAs based on the number of bound ribosomes. Here, we describe a streamlined protocol for accurate analysis of mRNA association with ribosomes. Compared to previous protocols, our method incorporates internal controls and improved buffer conditions that together reduce artifacts caused by non-specific mRNA-ribosome interactions. Moreover, our direct-from-fraction qRT-PCR protocol eliminates the need for RNA purification from gradient fractions, which greatly reduces the amount of hands-on time required and facilitates parallel analysis of multiple conditions or gene targets. Additionally, no phenol waste is generated during the procedure. We initially developed the protocol to investigate the translationally repressed state of the HAC1 mRNA in S. cerevisiae , but we also detail adapted procedures for mammalian cell lines and tissues.