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

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 nucleotide...

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Main Authors: Alec C. Gleason, Ghanashyam Ghadge, Yoshifumi Sonobe, Raymond P. Roos
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/23/18/10564
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author Alec C. Gleason
Ghanashyam Ghadge
Yoshifumi Sonobe
Raymond P. Roos
author_facet Alec C. Gleason
Ghanashyam Ghadge
Yoshifumi Sonobe
Raymond P. Roos
author_sort Alec C. Gleason
collection DOAJ
description 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.
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spelling doaj.art-719497a4ae66427c8e158a73734b36312023-11-23T16:43:55ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672022-09-0123181056410.3390/ijms231810564Kozak Similarity Score Algorithm Identifies Alternative Translation Initiation Codons Implicated in CancersAlec C. Gleason0Ghanashyam Ghadge1Yoshifumi Sonobe2Raymond P. Roos3Department of Neurology, University of Chicago Medical Center, Chicago, IL 60637, USADepartment of Neurology, University of Chicago Medical Center, Chicago, IL 60637, USADepartment of Neurology, University of Chicago Medical Center, Chicago, IL 60637, USADepartment of Neurology, University of Chicago Medical Center, Chicago, IL 60637, USARibosome 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.https://www.mdpi.com/1422-0067/23/18/10564translation initiationcanonical and noncanonical translation initiation codonsprotein translationoncogeneoncogenesistumorigenesis
spellingShingle Alec C. Gleason
Ghanashyam Ghadge
Yoshifumi Sonobe
Raymond P. Roos
Kozak Similarity Score Algorithm Identifies Alternative Translation Initiation Codons Implicated in Cancers
International Journal of Molecular Sciences
translation initiation
canonical and noncanonical translation initiation codons
protein translation
oncogene
oncogenesis
tumorigenesis
title Kozak Similarity Score Algorithm Identifies Alternative Translation Initiation Codons Implicated in Cancers
title_full Kozak Similarity Score Algorithm Identifies Alternative Translation Initiation Codons Implicated in Cancers
title_fullStr Kozak Similarity Score Algorithm Identifies Alternative Translation Initiation Codons Implicated in Cancers
title_full_unstemmed Kozak Similarity Score Algorithm Identifies Alternative Translation Initiation Codons Implicated in Cancers
title_short Kozak Similarity Score Algorithm Identifies Alternative Translation Initiation Codons Implicated in Cancers
title_sort kozak similarity score algorithm identifies alternative translation initiation codons implicated in cancers
topic translation initiation
canonical and noncanonical translation initiation codons
protein translation
oncogene
oncogenesis
tumorigenesis
url https://www.mdpi.com/1422-0067/23/18/10564
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AT ghanashyamghadge kozaksimilarityscorealgorithmidentifiesalternativetranslationinitiationcodonsimplicatedincancers
AT yoshifumisonobe kozaksimilarityscorealgorithmidentifiesalternativetranslationinitiationcodonsimplicatedincancers
AT raymondproos kozaksimilarityscorealgorithmidentifiesalternativetranslationinitiationcodonsimplicatedincancers