Conservation of the relative tRNA composition in healthy and cancerous tissues

  1. Michal Linial3,4,5
  1. 1School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
  2. 2Iby and Aladar Fleischman Faculty of Engineering, Department of Biomedical Engineering, Tel Aviv University, Tel Aviv 69978, Israel
  3. 3Department of Biological Chemistry, Institute of Life Sciences, Sudarsky Center for Computational Biology, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
    1. 4 These authors contributed equally to this work.

    Abstract

    Elongation in protein translation is strongly dependent on the availability of mature transfer RNAs (tRNAs). The relative concentrations of the tRNA isoacceptors determine the translation efficiency in unicellular organisms. However, the degree of correspondence of codons and the relevant tRNA isoacceptors serves as an estimator for translation efficiency in all organisms. In this study, we focus on the translational capacity of the human proteome. We show that the correspondence between the codon usage and tRNAs can be improved by combining experimental measurements with the genomic copy number of isoacceptor groups. We show that there are technologies of tRNA measurements that are useful for our analysis. However, fragments of tRNAs do not agree with translational capacity. It was shown that there is a significant increase in the absolute levels of tRNA genes in cancerous cells in comparison to healthy cells. However, we find that the relative composition of tRNA isoacceptors in healthy, cancerous, or transformed cells remains almost identical. This result may indicate that maintaining the relative tRNA composition in cancerous cells is advantageous via its stabilizing of the effectiveness of translation.

    Keywords

    Footnotes

    • Abbreviations: CAI, codon adaptation index; CN, copy number; dKL, Kullback–Leibler divergence; RGF, relative gene frequency; RSCU, Relative Synonymous Codon Usage; tRNA, transfer RNA; tAI, tRNA adaptation index.

    • 5 Corresponding author.

      E-mail michall{at}cc.huji.ac.il.

      E-mail shelly.mh{at}gmail.com.

      E-mail tamirtul{at}post.tau.ac.il.

    • Article published online ahead of print. Article and publication date are at http://www.rnajournal.org/cgi/doi/10.1261/rna.030775.111.

    • Received October 6, 2011.
    • Accepted January 2, 2012.
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