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Journal article
MicroRNAs can regulate human APP levels
Molecular neurodegeneration, v 3(1), 10
2008
PMID: 18684319
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A number of studies have shown that increased APP levels, resulting from either a genomic locus duplication or alteration in APP regulatory sequences, can lead to development of early-onset dementias, including Alzheimer's disease (AD). Therefore, understanding how APP levels are regulated could provide valuable insight into the genetic basis of AD and illuminate novel therapeutic avenues for AD. Here we test the hypothesis that APP protein levels can be regulated by miRNAs, evolutionarily conserved small noncoding RNA molecules that play an important role in regulating gene expression. Utilizing human cell lines, we demonstrate that miRNAs hsa-mir-106a and hsa-mir-520c bind to their predicted target sequences in the APP 3'UTR and negatively regulate reporter gene expression. Over-expression of these miRNAs, but not control miRNAs, results in translational repression of APP mRNA and significantly reduces APP protein levels. These results are the first to demonstrate that levels of human APP can be regulated by miRNAs.
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Details
- Title
- MicroRNAs can regulate human APP levels
- Creators
- Neha Patel - Drexel UniversityDavid Hoang - Drexel UniversityNathan Miller - Drexel UniversitySara Ansaloni - Drexel UniversityQihong Huang - The Wistar InstituteJack Timothy Rogers - Massachusetts General HospitalJeremy C Lee - University of California, Santa CruzAleister J Saunders - Drexel University
- Publication Details
- Molecular neurodegeneration, v 3(1), 10
- Publisher
- BioMed Central
- Number of pages
- 6
- Grant note
- Commonwealth of Pennsylvania Drexel University R21NS48227 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Biology
- Web of Science ID
- WOS:000265633200001
- Scopus ID
- 2-s2.0-51149091628
- Other Identifier
- 991021448057904721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Neurosciences