Please use this identifier to cite or link to this item:
doi:10.22028/D291-31351
Title: | Induction of the Endoplasmic-Reticulum-Stress Response: MicroRNA-34a Targeting of the IRE1α-Branch |
Author(s): | Krammes, Lena Hart, Martin Rheinheimer, Stefanie Diener, Caroline Menegatti, Jennifer Grässer, Friedrich Keller, Andreas Meese, Eckart |
Language: | English |
Title: | Cells |
Volume: | 9 |
Issue: | 6 |
Publisher/Platform: | MDPI |
Year of Publication: | 2020 |
Free key words: | neurodegeneration unfolded protein response BIP IRE1α XBP1 miR-34a-5p endoplasmic reticulum |
DDC notations: | 610 Medicine and health |
Publikation type: | Journal Article |
Abstract: | Neurodegenerative disorders such as Alzheimer’s disease (AD) and Parkinson’s disease (PD) are characterized by the accumulation of misfolded proteins in the endoplasmic reticulum (ER) and the unfolded protein response (UPR). Modulating the UPR is one of the major challenges to counteract the development of neurodegenerative disorders and other diseases with affected UPR. Here, we show that miR-34a-5p directly targets the IRE1α branch of the UPR, including the genes BIP, IRE1α, and XBP1. Upon induction of ER stress in neuronal cells, miR-34a-5p overexpression impacts the resulting UPR via a significant reduction in IRE1α and XBP1s that in turn leads to decreased viability, increased cytotoxicity and caspase activity. The possibility to modify the UPR signaling pathway by a single miRNA that targets central genes of the IRE1α branch offers new perspectives for future therapeutic approaches against neurodegeneration. |
DOI of the first publication: | 10.3390/cells9061442 |
Link to this record: | urn:nbn:de:bsz:291--ds-313516 hdl:20.500.11880/30318 http://dx.doi.org/10.22028/D291-31351 |
ISSN: | 2073-4409 |
Date of registration: | 6-Jan-2021 |
Description of the related object: | Supplementary Materials |
Related object: | http://www.mdpi.com/2073-4409/9/6/1442/s1 |
Faculty: | M - Medizinische Fakultät |
Department: | M - Humangenetik M - Infektionsmedizin M - Medizinische Biometrie, Epidemiologie und medizinische Informatik |
Professorship: | M - Prof. Dr. Eckhart Meese |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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cells-09-01442-v2.pdf | 6,14 MB | Adobe PDF | View/Open |
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