Thermo Fisher Scientific Releases Most Comprehensive Database of Pre-designed and Chemically Modified Long Non-Coding RNA siRNAs
Invitrogen Silencer Select lncRNA siRNAs
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Invitrogen Silencer Select lncRNA siRNAs provide a comprehensive library of more than 5,000 long non-coding RNA (lncRNA) targets. LncRNAs have been shown to regulate cell functions and knockdown of lncRNAs with small interfering RNA (siRNA) is a useful technique to determine the function and significance of individual lncRNA.
New Silencer Select IncRNAs siRNAs offer up to 90 percent knockdown of lncRNA. The extensive library provides insight into how lncRNA regulates cell signaling, tumor progression and metabolic regulation.
With double the lncRNA targets compared to other products on the market, the Silencer Select enables researcher to more efficiently conduct discovery work. Cells targeted with this product also retain high cell viability post-siRNA transfection.
Targeting and identifying lncRNA using siRNAs. Determining how lncRNA regulate cell functioning and their significance within cells.
• Built on best-in-class machine-learning algorithms to ensure highly predictive siRNA sequences
• Designed to help reduce off-target effects and deliver high specificity due to modification with locked nucleic acid (LNA) chemistry
• Utilize highly potent technology that enables accurate data with low cell toxicity
• Targets are highly ranked and validated using multiple databases, including Gencode v27, for optimal coverage of lncRNA loci, pseudogene loci and alternatively spliced transcripts
New Silencer Select IncRNAs siRNAs offer up to 90 percent knockdown of lncRNA. The extensive library provides insight into how lncRNA regulates cell signaling, tumor progression and metabolic regulation.
With double the lncRNA targets compared to other products on the market, the Silencer Select enables researcher to more efficiently conduct discovery work. Cells targeted with this product also retain high cell viability post-siRNA transfection.
Targeting and identifying lncRNA using siRNAs. Determining how lncRNA regulate cell functioning and their significance within cells.
• Built on best-in-class machine-learning algorithms to ensure highly predictive siRNA sequences
• Designed to help reduce off-target effects and deliver high specificity due to modification with locked nucleic acid (LNA) chemistry
• Utilize highly potent technology that enables accurate data with low cell toxicity
• Targets are highly ranked and validated using multiple databases, including Gencode v27, for optimal coverage of lncRNA loci, pseudogene loci and alternatively spliced transcripts
