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CGG Repeat-Associated Non-AUG Translation Utilizes a Cap-Dependent Scanning Mechanism of Initiation to Produce Toxic Proteins.


ABSTRACT: Repeat-associated non-AUG (RAN) translation produces toxic polypeptides from nucleotide repeat expansions in the absence of an AUG start codon and contributes to neurodegenerative disorders such as ALS and fragile X-associated tremor/ataxia syndrome. How RAN translation occurs is unknown. Here we define the critical sequence and initiation factors that mediate CGG repeat RAN translation in the 5' leader of fragile X mRNA, FMR1. Our results reveal that CGG RAN translation is 30%-40% as efficient as AUG-initiated translation, is m(7)G cap and eIF4E dependent, requires the eIF4A helicase, and is strongly influenced by repeat length. However, it displays a dichotomous requirement for initiation site selection between reading frames, with initiation in the +1 frame, but not the +2 frame, occurring at near-cognate start codons upstream of the repeat. These data support a model in which RAN translation at CGG repeats uses cap-dependent ribosomal scanning, yet bypasses normal requirements for start codon selection.

SUBMITTER: Kearse MG 

PROVIDER: S-EPMC4854189 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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CGG Repeat-Associated Non-AUG Translation Utilizes a Cap-Dependent Scanning Mechanism of Initiation to Produce Toxic Proteins.

Kearse Michael G MG   Green Katelyn M KM   Krans Amy A   Rodriguez Caitlin M CM   Linsalata Alexander E AE   Goldstrohm Aaron C AC   Todd Peter K PK  

Molecular cell 20160331 2


Repeat-associated non-AUG (RAN) translation produces toxic polypeptides from nucleotide repeat expansions in the absence of an AUG start codon and contributes to neurodegenerative disorders such as ALS and fragile X-associated tremor/ataxia syndrome. How RAN translation occurs is unknown. Here we define the critical sequence and initiation factors that mediate CGG repeat RAN translation in the 5' leader of fragile X mRNA, FMR1. Our results reveal that CGG RAN translation is 30%-40% as efficient  ...[more]

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