학술논문

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays
Document Type
research-article
Author
Sophia Emetu, author; Morgan Troiano, author; Jacob Goldmintz, author; Jensen Tomberlin, author; Simon Grelet, author; Philip H. Howe, author; Christopher Korey, author; Renaud Geslain, author
Source
Journal of Visualized Experiments. (131)
Subject
Genetics
Issue 131
transfer ribonucleic acids
radioactive orthophosphate
macroarrays
metabolic labeling
gene expression
genetic translation
protein synthesis
non-coding ribonucleic acids
Language
English
ISSN
1940-087X
Abstract
Transfer RNAs (tRNA) are abundant short non-coding RNA species that are typically 76 to 90 nucleotides in length. tRNAs are directly responsible for protein synthesis by translating codons in mRNA into amino acid sequences. tRNAs were long considered as house-keeping molecules that lacked regulatory functions. However, a growing body of evidence indicates that cellular tRNA levels fluctuate in correspondence to varying conditions such as cell type, environment, and stress. The fluctuation of tRNA expression directly influences gene translation, favoring or repressing the expression of particular proteins. Ultimately comprehending the dynamic of protein synthesis requires the development of methods able to deliver high-quality tRNA profiles. The method that we present here is named SPOt, which stands for Streamlined Platform for Observing tRNA. SPOt consists of three steps starting with metabolic labeling of cell cultures with radioactive orthophosphate, followed by guanidinium thiocyanate-phenol-chloroform extraction of radioactive total RNAs and finally hybridization on in-house printed macroarrays. tRNA levels are estimated by quantifying the radioactivity intensities at each probe spot. In the protocol presented here we profile tRNAs in Mycobacterium smegmatis mc2155, a nonpathogenic bacterium often used as a model organism to study tuberculosis.