1. Enhanced snoMEN Vectors Facilitate Establishment of GFP-HIF-1α Protein Replacement Human Cell Lines.
- Author
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Ono M, Yamada K, Bensaddek D, Afzal V, Biddlestone J, Ortmann B, Mudie S, Boivin V, Scott MS, Rocha S, and Lamond AI
- Subjects
- Base Sequence, Cell Line, Gene Expression, Gene Knockdown Techniques methods, HeLa Cells, Humans, Nucleic Acid Conformation, Protein Binding, RNA, Small Nucleolar chemistry, RNA, Small Nucleolar metabolism, Recombinant Fusion Proteins genetics, Ribonucleoproteins, Small Nucleolar metabolism, Genetic Vectors, Green Fluorescent Proteins genetics, Hypoxia-Inducible Factor 1, alpha Subunit genetics, RNA, Small Nucleolar genetics
- Abstract
The snoMEN (snoRNA Modulator of gene ExpressioN) vector technology was developed from a human box C/D snoRNA, HBII-180C, which contains an internal sequence that can be manipulated to make it complementary to RNA targets, allowing knock-down of targeted genes. Here we have screened additional human nucleolar snoRNAs and assessed their application for gene specific knock-downs to improve the efficiency of snoMEN vectors. We identify and characterise a new snoMEN vector, termed 47snoMEN, that is derived from box C/D snoRNA U47, demonstrating its use for knock-down of both endogenous cellular proteins and G/YFP-fusion proteins. Using multiplex 47snoMEM vectors that co-express multiple 47snoMEN in a single transcript, each of which can target different sites in the same mRNA, we document >3-fold increase in knock-down efficiency when compared with the original HBII-180C based snoMEN. The multiplex 47snoMEM vector allowed the construction of human protein replacement cell lines with improved efficiency, including the establishment of novel GFP-HIF-1α replacement cells. Quantitative mass spectrometry analysis confirmed the enhanced efficiency and specificity of protein replacement using the 47snoMEN-PR vectors. The 47snoMEN vectors expand the potential applications for snoMEN technology in gene expression studies, target validation and gene therapy.
- Published
- 2016
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