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Kozak Similarity Score Algorithm Identifies Alternative Translation Initiation Codons Implicated in Cancers.

Authors :
Gleason, Alec C.
Ghadge, Ghanashyam
Sonobe, Yoshifumi
Roos, Raymond P.
Source :
International Journal of Molecular Sciences. Sep2022, Vol. 23 Issue 18, pN.PAG-N.PAG. 12p.
Publication Year :
2022

Abstract

Ribosome profiling and mass spectroscopy have identified canonical and noncanonical translation initiation codons (TICs) that are upstream of the main translation initiation site and used to translate oncogenic proteins. There have previously been conflicting reports about the patterns of nucleotides that surround noncanonical TICs. Here, we use a Kozak Similarity Score algorithm to find that nearly all of these TICs have flanking nucleotides closely matching the Kozak sequence. Remarkably, the nucleotides flanking alternative noncanonical TICs are frequently closer to the Kozak sequence than the nucleotides flanking TICs used to translate the gene's main protein. Of note, the 5′ untranslated region (5'UTR) of cancer-associated genes with an upstream TIC tend to be significantly longer than the same region in genes not associated with cancer. The presence of a longer-than-typical 5′UTR increases the likelihood of ribosome binding to upstream noncanonical TICs, and may be a distinguishing feature of a number of genes overexpressed in cancer. Noncanonical TICs that are located in the 5′UTR, although thought by some to be disadvantageous and suppressed by evolution, may translate oncogenic proteins because of their flanking nucleotides. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16616596
Volume :
23
Issue :
18
Database :
Academic Search Index
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
159300198
Full Text :
https://doi.org/10.3390/ijms231810564