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Titel: miR-34a-5p as molecular hub of pathomechanisms in Huntington's disease
VerfasserIn: Hart, Martin
Diener, Caroline
Lunkes, Laetitia
Rheinheimer, Stefanie
Krammes, Lena
Keller, Andreas
Meese, Eckart
Sprache: Englisch
Titel: Molecular Medicine
Bandnummer: 29
Heft: 1
Verlag/Plattform: BMC
Erscheinungsjahr: 2023
Freie Schlagwörter: miR-34a-5p
Huntington’s disease
NDUFA9
HIP1
TGM2
POLR2G
HD pathomechanisms
miR-based therapy
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Background Although a pivotal role of microRNA (miRNA, miR) in the pathogenesis of Huntington’s disease (HD) is increasingly recognized, the molecular functions of miRNAs in the pathomechanisms of HD await further elucidation. One of the miRNAs that have been associated with HD is miR-34a-5p, which was deregulated in the mouse R6/2 model and in human HD brain tissues. Methods The aim of our study was to demonstrate interactions between miR-34a-5p and HD associated genes. By computational means we predicted 12 801 potential target genes of miR-34a-5p. An in-silico pathway analysis revealed 22 potential miR-34a-5p target genes in the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway “Huntington’s disease”. Results Using our high-throughput miRNA interaction reporter assay (HiTmIR) we identifed NDUFA9, TAF4B, NRF1, POLR2J2, DNALI1, HIP1, TGM2 and POLR2G as direct miR-34a-5p target genes. Direct binding of miR-34a-5p to target sites in the 3’UTRs of TAF4B, NDUFA9, HIP1 and NRF1 was verifed by a mutagenesis HiTmIR assay and by determining endogenous protein levels for HIP1 and NDUFA9. STRING (Search Tool for the Retrieval of Interacting Genes/Proteins) analysis identifed protein–protein interaction networks associated with HD like “Glutamine Receptor Signaling Pathway” and “Calcium Ion Transmembrane Import Into Cytosol”. Conclusion Our study demonstrates multiple interactions between miR-34a-5p and HD associated target genes and thereby lays the ground for future therapeutic interventions using this miRNA.
DOI der Erstveröffentlichung: 10.1186/s10020-023-00640-7
URL der Erstveröffentlichung: https://molmed.biomedcentral.com/articles/10.1186/s10020-023-00640-7
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-399252
hdl:20.500.11880/35931
http://dx.doi.org/10.22028/D291-39925
ISSN: 1528-3658
Datum des Eintrags: 7-Jun-2023
Bezeichnung des in Beziehung stehenden Objekts: Supplementary Information
In Beziehung stehendes Objekt: https://static-content.springer.com/esm/art%3A10.1186%2Fs10020-023-00640-7/MediaObjects/10020_2023_640_MOESM1_ESM.tif
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https://static-content.springer.com/esm/art%3A10.1186%2Fs10020-023-00640-7/MediaObjects/10020_2023_640_MOESM3_ESM.tif
https://static-content.springer.com/esm/art%3A10.1186%2Fs10020-023-00640-7/MediaObjects/10020_2023_640_MOESM4_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1186%2Fs10020-023-00640-7/MediaObjects/10020_2023_640_MOESM5_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1186%2Fs10020-023-00640-7/MediaObjects/10020_2023_640_MOESM6_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1186%2Fs10020-023-00640-7/MediaObjects/10020_2023_640_MOESM7_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1186%2Fs10020-023-00640-7/MediaObjects/10020_2023_640_MOESM8_ESM.xlsx
https://static-content.springer.com/esm/art%3A10.1186%2Fs10020-023-00640-7/MediaObjects/10020_2023_640_MOESM9_ESM.xlsx
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Humangenetik
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professur: M - Univ.-Prof. Dr. Andreas Keller
M - Prof. Dr. Eckhart Meese
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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