Peptidic tools applied to redirect alternative splicing events
| Autor: | Martínez-Montiel Nancy, Martínez-Contreras Rebeca, Rosas-Murrieta Nora |
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| Rok vydání: | 2015 |
| Předmět: |
Peptide Nucleic Acids
Genetics Regulation of gene expression Base Sequence Physiology Molecular Sequence Data Alternative splicing Genetic Diseases Inborn Cell-Penetrating Peptides Biology Transfection Biochemistry Alternative Splicing Cellular and Molecular Neuroscience Endocrinology RNA splicing Gene expression Cell-penetrating peptide Animals Humans Protein Isoforms snRNP Amino Acid Sequence Small nuclear RNA Function (biology) |
| Zdroj: | Peptides. 67:1-11 |
| ISSN: | 0196-9781 |
| DOI: | 10.1016/j.peptides.2015.02.006 |
| Popis: | Peptides are versatile and attractive biomolecules that can be applied to modulate genetic mechanisms like alternative splicing. In this process, a single transcript yields different mature RNAs leading to the production of protein isoforms with diverse or even antagonistic functions. During splicing events, errors can be caused either by mutations present in the genome or by defects or imbalances in regulatory protein factors. In any case, defects in alternative splicing have been related to several genetic diseases including muscular dystrophy, Alzheimer's disease and cancer from almost every origin. One of the most effective approaches to redirect alternative splicing events has been to attach cell-penetrating peptides to oligonucleotides that can modulate a single splicing event and restore correct gene expression. Here, we summarize how natural existing and bioengineered peptides have been applied over the last few years to regulate alternative splicing and genetic expression. Under different genetic and cellular backgrounds, peptides have been shown to function as potent vehicles for splice correction, and their therapeutic benefits have reached clinical trials and patenting stages, emphasizing the use of regulatory peptides as an exciting therapeutic tool for the treatment of different genetic diseases. |
| Databáze: | OpenAIRE |
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