UMMS Affiliation

RNA Therapeutics Institute

Date

11-1-2015

Document Type

Article

Disciplines

Computational Biology | Genetics | Genomics | Population Biology

Abstract

Elucidating the consequences of genetic differences between humans is essential for understanding phenotypic diversity and personalized medicine. Although variation in RNA levels, transcription factor binding, and chromatin have been explored, little is known about global variation in translation and its genetic determinants. We used ribosome profiling, RNA sequencing, and mass spectrometry to perform an integrated analysis in lymphoblastoid cell lines from a diverse group of individuals. We find significant differences in RNA, translation, and protein levels suggesting diverse mechanisms of personalized gene expression control. Combined analysis of RNA expression and ribosome occupancy improves the identification of individual protein level differences. Finally, we identify genetic differences that specifically modulate ribosome occupancy-many of these differences lie close to start codons and upstream ORFs. Our results reveal a new level of gene expression variation among humans and indicate that genetic variants can cause changes in protein levels through effects on translation.

Rights and Permissions

Citation: Genome Res. 2015 Nov;25(11):1610-21. doi: 10.1101/gr.193342.115. Epub 2015 Aug 21. Link to article on publisher's site

DOI of Published Version

10.1101/gr.193342.115

Comments

© 2015 Cenik et al. This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.

Related Resources

Link to Article in PubMed

Journal Title

Genome research

PubMed ID

26297486

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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