Quantitative and qualitative proteome characteristics extracted from in-depth integrated genomics and proteomics analysis

Publication date

2013

Authors

Low, Teck YewISNI 0000000506017580
Luteijn, Maartje JISNI 0000000419552139
van den Toorn, HenkISNI 0000000419419856
Giansanti, PieroISNI 0000000387223970
Cristobal, A.
Toonen, P.
Schafer, S.
Hübner, N.
van Breukelen, BasISNI 0000000391689765
Mohammed, ShabazISNI 0000000390338429

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Document Type

Article
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Abstract

Quantitative and qualitative protein characteristics are regulated at genomic, transcriptomic, and posttranscriptional levels. Here, we integrated in-depth transcriptome and proteome analyses of liver tissues from two rat strains to unravel the interactions within and between these layers. We obtained peptide evidence for 26,463 rat liver proteins. We validated 1,195 gene predictions, 83 splice events, 126 proteins with nonsynonymous variants, and 20 isoforms with nonsynonymous RNA editing. Quantitative RNA sequencing and proteomics data correlate highly between strains but poorly among each other, indicating extensive nongenetic regulation. Our multilevel analysis identified a genomic variant in the promoter of the most differentially expressed gene Cyp17a1, a previously reported top hit in genome-wide association studies for human hypertension, as a potential contributor to the hypertension phenotype in SHR rats. These results demonstrate the power of and need for integrative analysis for understanding genetic control of molecular dynamics and phenotypic diversity in a system-wide manner.

Keywords

Econometric and Statistical Methods: General, Geneeskunde (GENK), Geneeskunde(GENK), Medical sciences, Bescherming en bevordering van de menselijke gezondheid

Citation

Low, T Y, van Heesch, S A A C, van den Toorn, H W P, Giansanti, P, Cristobal, A, Toonen, P, Schafer, S, Hübner, N, van Breukelen, B, Mohammed, S, Cuppen, E P J G & Heck, A J R 2013, 'Quantitative and qualitative proteome characteristics extracted from in-depth integrated genomics and proteomics analysis', Cell Reports [E], vol. 5, no. 5, pp. 1469-1478. https://doi.org/10.1016/j.celrep.2013.10.041