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Differentiation of a Human Neural Stem Cell Line on Three Dimensional Cultures, Analysis of MicroRNA and Putative Target Genes
Published on: April 12, 2015
Human-Specific Regulation of Neurotrophic Factors MANF and CDNF by microRNAs
Julia Konovalova1, Dmytro Gerasymchuk1,2, Sergio Navarette Arroyo1
1Institute of Biotechnology, HiLIFE, University of Helsinki, Viikinkaari 5D, 00790 Helsinki, Finland.
Abstract:
Mesencephalic astrocyte derived neurotrophic factor (MANF) and cerebral dopamine neurotrophic factor (CDNF) are novel evolutionary conserved trophic factors, which exhibit cytoprotective activity via negative regulation of unfolded protein response (UPR) and inflammation. Despite multiple reports demonstrating detrimental effect of MANF/CDNF downregulation, little is known about the control of their expression. miRNAs-small non-coding RNAs-are important regulators of gene expression. Their dysregulation was demonstrated in multiple pathological processes and their ability to modulate levels of other neurotrophic factors, glial cell line-derived neurotrophic factor (GDNF) and brain-derived neurotrophic factor (BDNF), was previously reported. Here, for the first time we demonstrated direct regulation of MANF and CDNF by miRNAs. Using bioinformatic tools, reporter assay and analysis of endogenous MANF and CDNF, we identified that miR-144 controls MANF expression, and miR-134 and miR-141 downregulate CDNF levels. We also demonstrated that this effect is human-specific and is executed via predicted binding sites of corresponding miRNAs. Finally, we found that miR-382 suppressed hCDNF expression indirectly. In conclusion, we demonstrate for the first time direct regulation of MANF and CDNF expression by specific miRNAs, despite the fact their binding sites are not strongly evolutionary conserved. Furthermore, we demonstrate a functional effect of miR-144 mediated regulation of MANF on ER stress response markers. These findings emphasize that (1) prediction of miRNA targets based on evolutionary conservation may miss biologically meaningful regulatory pairs; and (2) interpretation of miRNA regulatory effects in animal models should be cautiously validated.
Insights
MicroRNAs (miRNAs) directly regulate Mesencephalic astrocyte derived neurotrophic factor (MANF) and cerebral dopamine neurotrophic factor (CDNF) expression. This discovery reveals novel regulatory pathways for these neurotrophic factors.
Area of Science:
- Neuroscience
- Molecular Biology
- Genetics
Background:
- Mesencephalic astrocyte derived neurotrophic factor (MANF) and cerebral dopamine neurotrophic factor (CDNF) are crucial for cytoprotection, yet their expression regulation is poorly understood.
- MicroRNAs (miRNAs) are key gene regulators implicated in various pathologies and known to modulate other neurotrophic factors.
Purpose of the Study:
- To identify and characterize the role of specific miRNAs in regulating MANF and CDNF expression.
- To investigate the functional consequences of miRNA-mediated regulation of MANF and CDNF.
Main Methods:
- Bioinformatic analysis to predict miRNA-target interactions.
- Reporter assays to validate direct miRNA binding and regulatory effects.
- Analysis of endogenous MANF and CDNF levels in response to miRNA modulation.
- Assessment of ER stress markers to evaluate functional impact.
Main Results:
- miR-144 was identified as a direct regulator of MANF expression.
- miR-134 and miR-141 were found to directly downregulate CDNF levels.
- These regulatory interactions were demonstrated to be human-specific.
- miR-382 was shown to indirectly suppress human CDNF expression.
- miR-144 regulation of MANF impacted ER stress markers.
Conclusions:
- This study provides the first evidence of direct miRNA regulation of MANF and CDNF.
- miRNA binding sites for MANF and CDNF regulation are not strongly conserved evolutionarily.
- miRNA target prediction solely based on evolutionary conservation may overlook significant regulatory relationships.
- Findings highlight the importance of human-specific validation for miRNA regulatory effects, especially when extrapolating from animal models.
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