Literature DB >> 19887606

TP53 cancerous mutations exhibit selection for translation efficiency.

Yedael Y Waldman1, Tamir Tuller, Roded Sharan, Eytan Ruppin.   

Abstract

The tumor suppressor gene TP53 is known to be a key regulator in cancer, and more than half of human cancers exhibit mutations in this gene. Recent evidence shows that point mutations in TP53 not only disrupt its function but also possess gain-of-function and dominant-negative effects on wild-type copies, thus making the mutated gene an oncogene. Hence, this brings about the possibility that TP53 mutations may be under selection for increasing the overall translation efficiency (TE) of defected TP53 in cancerous cells. Here, we perform the first large-scale analysis of TE in human cancer mutated TP53 variants, identifying a significant increase in TE that is correlated with the frequency of TP53 mutations. Furthermore, mutations with a known oncogenic effect significantly increase their TE compared with the other TP53 mutations. Further analysis shows that TE may have influence both on selecting the location of the mutation and on its outcome: codons with lower TE show stronger selection toward nonsynonymous mutations and, for each codon, frequent mutations show stronger increase in TE compared with less frequent mutations. Additionally, we find that TP53 mutations have significantly higher TE increase in progressive versus primary tumors. Finally, an analysis of TP53 NCI-60 cell lines points to a coadaptation between the mutations and the tRNA pool, increasing the overall TP53 TE. Taken together, these results show that TE plays an important role in the selection of TP53 cancerous mutations.

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Year:  2009        PMID: 19887606     DOI: 10.1158/0008-5472.CAN-09-1653

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  8 in total

1.  Controllability Analysis and Control Synthesis for the Ribosome Flow Model.

Authors:  Yoram Zarai; Michael Margaliot; Eduardo D Sontag; Tamir Tuller
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2017-05-23       Impact factor: 3.710

2.  Dipeptide analysis of p53 mutations and evolution of p53 family proteins.

Authors:  Qiang Huang; Long Yu; Arnold J Levine; Ruth Nussinov; Buyong Ma
Journal:  Biochim Biophys Acta       Date:  2013-04-10

3.  Genome-scale analysis of translation elongation with a ribosome flow model.

Authors:  Shlomi Reuveni; Isaac Meilijson; Martin Kupiec; Eytan Ruppin; Tamir Tuller
Journal:  PLoS Comput Biol       Date:  2011-09-01       Impact factor: 4.475

4.  Disruptive mRNA folding increases translational efficiency of catechol-O-methyltransferase variant.

Authors:  Douglas Tsao; Svetlana A Shabalina; Josée Gauthier; Nikolay V Dokholyan; Luda Diatchenko
Journal:  Nucleic Acids Res       Date:  2011-04-12       Impact factor: 16.971

5.  Limited importance of the dominant-negative effect of TP53 missense mutations.

Authors:  Ewelina Stoczynska-Fidelus; Malgorzata Szybka; Sylwester Piaskowski; Michal Bienkowski; Krystyna Hulas-Bigoszewska; Mateusz Banaszczyk; Izabela Zawlik; Dorota Jesionek-Kupnicka; Radzislaw Kordek; Pawel P Liberski; Piotr Rieske
Journal:  BMC Cancer       Date:  2011-06-13       Impact factor: 4.430

6.  Selection for translation efficiency on synonymous polymorphisms in recent human evolution.

Authors:  Yedael Y Waldman; Tamir Tuller; Alon Keinan; Eytan Ruppin
Journal:  Genome Biol Evol       Date:  2011-07-29       Impact factor: 3.416

7.  Translation efficiency in humans: tissue specificity, global optimization and differences between developmental stages.

Authors:  Yedael Y Waldman; Tamir Tuller; Tomer Shlomi; Roded Sharan; Eytan Ruppin
Journal:  Nucleic Acids Res       Date:  2010-01-21       Impact factor: 16.971

8.  The Effect of Dysregulation of tRNA Genes and Translation Efficiency Mutations in Cancer and Neurodegeneration.

Authors:  Tamir Tuller
Journal:  Front Genet       Date:  2012-10-12       Impact factor: 4.599

  8 in total

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