👤 Sébastien Soubeyrand

Constitutive Photomorphogenesis Protein 1 homolog (COP1) is a conserved E3 ligase with key roles in several biological systems. Prior work in hepatocyte-derived tumors categorized COP1 as an oncogene, but its role in untransformed hepatocytes remains largely unexplored. Here, we have investigated the role of COP1 in primary human hepatocytes and two transformed hepatocyte models, HepG2 and HuH-7 cells. The role of COP1 was tested by silencing and transduction experiments in HepG2, HuH-7, and primary human hepatocytes. Transcription array data of COP1-suppressed cells were generated and analyzed using clustering analyses. Cellular impacts were examined by proliferation assays, qRT-PCR, western blotting, reporter assays, and APOB enzyme-linked immunosorbent assays. COP1 suppression had no noticeable impact on HepG2 and HuH-7 proliferation and was associated with contrasting rather than congruent transcriptome changes. Transcriptomic changes were consistent with perturbed metabolism in primary hepatocytes and HepG2 cells and impaired cell cycle regulation in HuH-7 cells. In HepG2 and primary hepatocytes but not in HuH-7 cells, COP1 suppression reduced the expression of important hepatic regulators and markers. COP1 downregulation reduced hepatic nuclear factor-4 alpha (HNF4A) abundance and function, as assessed by a lower abundance of key HNF4A targets, reduced APOB secretion, and reporter assays. HNF4A function could be restored by introducing a siRNA-resistant COP1 transgene, whereas HNF4A restoration partially rescued COP1 silencing in HepG2 cells. Our results identify and detail a pivotal regulatory role of COP1 in hepatocytes, in part through HNF4A. Show less

We recently reported that the long non-coding RNA TRIBAL/TRIB1AL was required to sustain key hepatocyte functions. Here, we identify HepaRG cells as a model for studying TRIBAL and provide additional validation and functional insights. In contrast to HepG2 and HuH-7 cells, differentiated HepaRG cells showed similarities to primary hepatocytes in response to TRIBAL suppression. TRIBAL suppression was associated with reduced HNF4A and MLXIPL abundance in hepatocytes and HepaRG cells. TRIBAL targeting using a panel of cognate antisense oligonucleotides confirmed specificity. A comparison of TRIBAL-suppressed hepatocyte and HepaRG transcriptomics identified extensive functional overlap. Biological ontologies associated with key hepatic metabolic functions were predicted to be inhibited in both models. Comparative analyses with TRIB1-suppressed HepaRG cells, a central metabolic regulator vicinal to TRIBAL, also revealed extensive functional congruence with TRIBAL. Interestingly, TRIBAL transduction failed to restore function in TRIBAL-suppressed cells, which may be linked to structural differences, as supported by contrasting RNAse R sensitivities between the endogenous and transduced forms. In summary, these findings support the use of HepaRG cells as an experimental model to study TRIBAL and underscore its importance in regulating key hepatocyte genes essential for metabolic function. Show less

Genome-wide association studies identified a 20-Kb region of chromosome 8 (8q24.13) associated with plasma lipids, hepatic steatosis, and risk for coronary artery disease. The region is proximal to Using recently available expression quantitative trait loci data and hepatocyte models, we further investigated this locus by Mendelian randomization analysis. Following antisense oligonucleotide targeting of TRIBAL, transcription array, quantitative reverse transcription polymerase chain reaction, and enrichment analyses were performed and effects on apoB and triglyceride secretion were determined. Mendelian randomization analysis supports a causal relationship between genetically determined hepatic This work identifies Show less

OBJECTIVE: Leveraging microRNA-Seq data and the 1000 Genomes imputed genotypes, we identified rs174561 as a strong microRNA quantitative trait loci for circulating microRNA-1908-5p with higher miR-1908-5p and reduced LDL (lowdensity lipoprotein)-cholesterol, fasting glucose and A1c concentrations in carriers of the rs-174561-C allele. Here, we have investigated the molecular mechanism(s) linking miR-1908-5p to LDL-C concentrations. APPROACH AND RESULTS: Transfection experiments demonstrate that the presence of the C allele significantly increases miR- 1908-5p abundance relative to the T allele. LDLR mRNA and low-density lipoprotein receptor (LDLR) total protein were unchanged in response to differential miR-1908-5p expression. However, the ratio of the cleaved to full-length form of LDLR decreased with miR-1908-5p mimic and increased with miR-1908-5p inhibitor treatment. BMP1 (bone morphogenetic protein 1) is a protease responsible for LDLR cleavage, and we show that miR-1908-5p mimic reduces BMP1 mRNA. Using a reporter array, we identified the TGF-β (transforming growth factor-beta) signaling pathway activity to be reduced by miR- 1908-5p mimic treatment, and this was associated with reduced TGFB1 expression. TGF-β signaling increases BMP1, and we further demonstrate that the effect of miR-1908-5p on LDLR cleavage is abolished by exogenous TGF-β treatment. CONCLUSIONS: These findings uncover a mechanism whereby miR-1908-5p reduces TGFB1 abundance resulting in lower expression of BMP1, ultimately leading to reduced LDLR cleavage. Cleavage of the mature LDLR is known to reduce cell surface affinity for LDL, thereby linking miR-1908-5p to lower circulating LDL-cholesterol levels. Show less

In this study, we aimed to investigate functional mechanisms underlying coronary artery disease (CAD) loci and find molecular biomarkers for CAD. We devised a multiomics data analysis approach based on Mendelian randomization and utilized it to search for molecular biomarkers causally associated with the risk of CAD within genomic regions known to be associated with CAD. Through our CAD-centered multiomics data analysis approach, we identified 33 molecular biomarkers (probes) that were causally associated with the risk of CAD. The majority of these (N=19) were methylation probes; moreover, methylation was often behind the causal effect of expression/protein probes. We identified a number of novel loci that have a causal impact on CAD including We demonstrate that multiomics data analysis is a powerful approach to unravel the functional mechanisms underlying CAD loci and to identify novel molecular biomarkers. Our results indicate epigenetic modifications are important in the pathogenesis of CAD and identifying and targeting these sites is of potential therapeutic interest to address the detrimental effects of both environmental and genetic factors. Show less