Abstract

Many cellular stresses lead to the inhibition of protein synthesis. Despite this, some cellular mRNAs are selectively translated under these conditions. It was suggested that the presence of internal ribosome entry site (IRES) sequences in the 5'-untranslated regions allow these mRNAs to be actively translated despite the overall cessation of protein synthesis. Here we tested the hypothesis that the IRES elements of genes that are involved in the control of cell survival are distinctly regulated by cellular stresses. We show that the transient conditions of cellular stress favor the translation of pro-survival IRES, while the severe apoptotic conditions support translation of pro-death IRES elements. Furthermore, activation of pro-death IRES during the etoposide-induced apoptosis is caspase-dependent and correlates with the expression of apoptotic fragments of two members of the eIF4G translation initiation factor family, p97/DAP5/NAT1 and eIF4GI. Our results suggest that the regulation of IRES translation during stress contributes to the fine-tuning of cell fate.

Highlights

  • Many chemotherapeutic agents and irradiation induce apoptosis in human cancers

  • It was suggested that the presence of internal ribosome entry site (IRES) sequences in the 5؅-untranslated regions allow these mRNAs to be actively translated despite the overall cessation of protein synthesis

  • In all cell lines tested the translation directed by IRES of DAP5, Apaf-1, BiP, and c-Myc was very low when compared with EMCV and XIAP IRES elements

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Summary

Introduction

Many chemotherapeutic agents and irradiation induce apoptosis in human cancers. Induction of apoptosis leads to the selective cleavage of translation initiation factors that results in an inhibition of cap-dependent protein synthesis [1]. Activation of pro-death IRES during the etoposide-induced apoptosis is caspase-dependent and correlates with the expression of apoptotic fragments of two members of the eIF4G translation initiation factor family, p97/DAP5/NAT1 and eIF4GI.

Results
Conclusion
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