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The ribosomal prolyl-hydroxylase OGFOD1 decreases during cardiac differentiation and modulates translation and splicing
Andrea Stoehr, Leslie Kennedy, Yanqin Yang, Sajni Patel, Yongshun Lin, Kaari L. Linask, Maria Fergusson, Jun Zhu, Marjan Gucek, Jizhong Zou, Elizabeth Murphy
Andrea Stoehr, Leslie Kennedy, Yanqin Yang, Sajni Patel, Yongshun Lin, Kaari L. Linask, Maria Fergusson, Jun Zhu, Marjan Gucek, Jizhong Zou, Elizabeth Murphy
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Research Article Cardiology

The ribosomal prolyl-hydroxylase OGFOD1 decreases during cardiac differentiation and modulates translation and splicing

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Abstract

The mechanisms regulating translation and splicing are not well understood. We provide insight into a new regulator of translation, 2-oxoglutarate and iron dependent oxygenase domain–containing protein 1 (OGFOD1), which is a prolyl-hydroxylase that catalyzes the posttranslational hydroxylation of Pro62 in the small ribosomal protein S23. We show that deletion of OGFOD1 in an in vitro model of human cardiomyocytes decreases translation of specific proteins (e.g., RNA-binding proteins) and alters splicing. RNA-Seq showed poor correlation between changes in mRNA and protein synthesis, suggesting that posttranscriptional regulation was the primary cause for the observed differences. We found that loss of OGFOD1 and the resultant alterations in protein translation modulated the cardiac proteome, shifting it toward higher protein amounts of sarcomeric proteins, such as cardiac troponins, titin, and cardiac myosin-binding protein C. Furthermore, we found a decrease of OGFOD1 during cardiomyocyte differentiation. These results suggest that loss of OGFOD1 modulates protein translation and splicing, thereby leading to alterations in the cardiac proteome, and highlight the role of altered translation and splicing in regulating the proteome.

Authors

Andrea Stoehr, Leslie Kennedy, Yanqin Yang, Sajni Patel, Yongshun Lin, Kaari L. Linask, Maria Fergusson, Jun Zhu, Marjan Gucek, Jizhong Zou, Elizabeth Murphy

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Figure 1

Quantitative analyses of proteomic profiles and differentiation status of WT and OGFOD1-KO iPSC-CMs.

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Quantitative analyses of proteomic profiles and differentiation status o...
(A) Cluster analysis shows a clear difference between the proteomic profiles of KO and WT. The level of each protein is shown in rows, and samples are clustered in columns. The protein levels across the samples are shown as log2 counts per million (CPM). The scaled expression values are color coded according to the legend. FC, fold change. (B) Volcano plot to compare the mean log2FCs (OGFOD1-KO/WT) of normalized spectral counts and the log10 of the P values obtained in the t test comparison. Protein classes are highlighted for ribosomal proteins. Gene ontology analysis was performed with Database for Annotation, Visualization and Integrated Discovery (DAVID) software for biological processes being enriched for proteins that were significantly lower in OGFOD1-KO (C) and for proteins that were significantly higher in OGFOD1-KO (D), respectively. (E) Differences in protein levels between WT and OGFOD1-KO for proteins associated with cardiomyocyte maturation. n = 12 per group. (F) Changes in OGFOD1 expression for various time points following initiation of differentiation in iPSCs. n = 3 per time point. (G) Changes in OGFOD1 protein level in iPSCs during cardiac differentiation, normalized on total protein amount. n = 5 per time point. Development of cardiac differentiation marker genes, such as Brachyury (H) and Mesp1 (I), over a cardiac differentiation period of 48 hours. n = 8 per time point. Data are shown as mean ± SEM. ***P < 0.001 and *P < 0.05 vs. WT (2-way ANOVA plus Bonferroni’s posttest) in E. ****P < 0.0001 and *P < 0.05 vs. day 0 (1-way ANOVA plus Bonferroni’s posttest) in F. *P < 0.05 vs. time point 0 (Student’s t test) in G. ****P < 0.0001, ***P < 0.001, and **P < 0.01 vs. day 0 (2-way ANOVA plus Bonferroni’s posttest) in H and I.

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