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Integrative analysis of RNA, translation, and protein levels reveals distinct regulatory variation across humans
Author(s) -
Can Cenik,
Elif Sarinay Cenik,
Gun Woo Byeon,
Fabian Grubert,
Sophie I. Candille,
Damek V. Spacek,
Bilal Alsallakh,
Hagen Tilgner,
Carlos L. Araya,
Hua Tang,
Emiliano P. Ricci,
M Snyder
Publication year - 2015
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.193342.115
Subject(s) - biology , genetics , ribosome profiling , translation (biology) , ribosome , rna , computational biology , gene , chromatin , genetic variation , gene expression , protein biosynthesis , messenger rna
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.

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