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MicroRNAs are endogenous ≈22 nt long non coding RNA molecules that modulate gene expression
at the post transcriptional level by targeting mRNAs for cleavage or translational repression.
MicroRNA-mRNA interaction involves a contiguous and perfect pairing within complementary
sites usually in the 3’ UTR of the target mRNA. Heart failure is associated with myocyte
hypertrophy and death, due to compensatory pathological remodeling and minimal functional repair
along with microRNA deregulation.
In this study, we identified candidate microRNAs based on their expression strength in
cardiomyocytes and by their ability to regulate hypertrophy. Expression profiling from early and
late stages of heart failure showed several deregulated microRNAs. Of these microRNAs, miR-378
emerged as a potentially interesting microRNA that was highly expressed in the mouse heart and
downregulated in the failing heart. Antihypertrophic activity of miR-378 was first observed by
screening a synthetic miR library for morphologic effects on cardiomyocytes, and validated in vitro proving the tight control of hypertrophy by this miR. We combined bioinformatic target prediction analysis and microarray analysis to identify the targets of miR-378. These analyses suggested that factors of the MAP kinase pathway were enriched among miR-378 targets, namely MAPK1 itself (also termed ERK2), the insulin-like growth factor receptor 1 (IGF1R), growth factor receptor bound protein 2 (GRB2) and kinase suppressor of ras 1 (KSR1). Regulation of these targets by miR-378 was then confirmed by mRNA and protein expression analysis. The use of luciferase reporter constructs with natural or mutated miR-378 binding sites further validated these four proteins as direct targets of miR-378. RNA interference with MAPK1 and the other three targets prevented the prohypertrophic effect of antimiR-378, suggesting that they functionally relate to miR-378. In vivo restoration of disease induced loss of miR-378 in a pressure overload mouse model of hypertrophy using adeno associated virus resulted in partial attenuation cardiac hypertrophy and significant improvement in cardiac function along with reduced expression of the four targets in heart.
We conclude from these findings that miR-378 is an antihypertrophic microRNA in cardiomyocytes, and the main mechanism underlying this effect is the suppression of the MAP kinase-signaling pathway on four distinct levels. Restoration of disease-associated loss of miR-378 through cardiomyocyte-targeted AAV-miR-378 may prove as an effective therapeutic strategy in myocardial disease.
Dynamic interactions and their changes are at the forefront of current research in bioinformatics and systems biology. This thesis focusses on two particular dynamic aspects of cellular adaptation: miRNA and metabolites.
miRNAs have an established role in hematopoiesis and megakaryocytopoiesis, and platelet miRNAs have potential as tools for understanding basic mechanisms of platelet function. The thesis highlights the possible role of miRNAs in regulating protein translation in platelet lifespan with relevance to platelet apoptosis and identifying involved pathways and potential key regulatory molecules. Furthermore, corresponding miRNA/target mRNAs in murine platelets are identified. Moreover, key miRNAs involved in aortic aneurysm are predicted by similar techniques. The clinical relevance of miRNAs as biomarkers, targets, resulting later translational therapeutics, and tissue specific restrictors of genes expression in cardiovascular diseases is also discussed.
In a second part of thesis we highlight the importance of scientific software solution development in metabolic modelling and how it can be helpful in bioinformatics tool development along with software feature analysis such as performed on metabolic flux analysis applications. We proposed the “Butterfly” approach to implement efficiently scientific software programming. Using this approach, software applications were developed for quantitative Metabolic Flux Analysis and efficient Mass Isotopomer Distribution Analysis (MIDA) in metabolic modelling as well as for data management. “LS-MIDA” allows easy and efficient MIDA analysis and, with a more powerful algorithm and database, the software “Isotopo” allows efficient analysis of metabolic flows, for instance in pathogenic bacteria (Salmonella, Listeria). All three approaches have been published (see Appendices).
While TGF-β is able to regulate miRNA expression in numerous cell types, TGF-β-dependent changes in the miRNA profile of CD8+ T cells had not been studied before. Considering that TGF-β suppresses CD8+ T cell effector functions in numerous ways, we wondered whether induction of immune-regulatory miRNAs could add to the known transcriptional effects of TGF-β on immune effector molecules. In this study, we used miRNA arrays, deep sequencing and qRT-PCR to identify miRNAs that are modulated by TGF-β in human CD8+ T cells. Having found that the TGF-β-dependent downregulation of NKG2D surface expression in NK cells and CD8+ T cells does not go along with a corresponding reduction in mRNA levels, this pathway appeared to be a possible target of TGF-β-inducible miRNAs. However, this hypothesis could not be confirmed by miRNA reporter assays. Instead, we observed that DAP10 transcription is suppressed by TGF-β which in turn negatively affects NKG2D surface expression. In spite of promising preliminary experiments, technical difficulties associated with the transfection of primary NK cells and NK cell lines unfortunately precluded the final proof of this hypothesis.
Instead, we focused on the TGF-β-induced changes in the miRNome of CD8+ T cells and confirmed the induction of the miR-23a cluster members, namely miR-23a, miR-27a and miR-24 by three different techniques. Searching for potential targets of these miRNAs which could contribute to the immunosuppressive action of TGF-β in T cells, we identified and confirmed a previously unknown regulation of IFN-γ mRNA by miR-27a and miR-24. Newly generated miRNA reporter constructs further revealed that LAMP1 mRNA is a target of miR-23a. Upon modulation of the miR-23a cluster in CD8+ T cells by the respective miRNA antagomirs and mimics, significant changes in IFN-γ expression confirmed the functional relevance of our findings. Effects on CD107a/LAMP1 expression were, in contrast, rather minimal. Still, overexpression of the miR-23a cluster attenuated the cytotoxic activity of antigen-specific CD8+ T cells. Taken together, these functional data reveal that the miR-23a cluster not only is induced by TGF-β, but also exerts a suppressive effect on CD8+ T-cell effector functions, even in the absence of TGF-β signaling.