A comprehensive catalog of predicted functional upstream open reading frames in humans.

Abstract:

:Upstream open reading frames (uORFs) latent in mRNA transcripts are thought to modify translation of coding sequences by altering ribosome activity. Not all uORFs are thought to be active in such a process. To estimate the impact of uORFs on the regulation of translation in humans, we first circumscribed the universe of all possible uORFs based on coding gene sequence motifs and identified 1.3 million unique uORFs. To determine which of these are likely to be biologically relevant, we built a simple Bayesian classifier using 89 attributes of uORFs labeled as active in ribosome profiling experiments. This allowed us to extrapolate to a comprehensive catalog of likely functional uORFs. We validated our predictions using in vivo protein levels and ribosome occupancy from 46 individuals. This is a substantially larger catalog of functional uORFs than has previously been reported. Our ranked list of likely active uORFs allows researchers to test their hypotheses regarding the role of uORFs in health and disease. We demonstrate several examples of biological interest through the application of our catalog to somatic mutations in cancer and disease-associated germline variants in humans.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

McGillivray P,Ault R,Pawashe M,Kitchen R,Balasubramanian S,Gerstein M

doi

10.1093/nar/gky188

subject

Has Abstract

pub_date

2018-04-20 00:00:00

pages

3326-3338

issue

7

eissn

0305-1048

issn

1362-4962

pii

4942470

journal_volume

46

pub_type

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