Publications by authors named "Jennifer L Groneman"
Article Synopsis
- Combinatorial RNA interference (co-RNAi) is explored as a strategy to effectively combat HIV-1 by using multiple short hairpin RNAs (shRNAs) simultaneously to counteract viral resistance.
- The research identified combinations of highly-conserved shRNAs that target a range of HIV-1 strains using data from over 1,220 sequences, resulting in combinations that provide up to 87% coverage of known strains and 100% coverage of clade B subtypes.
- The findings suggest that it is feasible to create combinations of up to 7 shRNAs that maintain effective activity against diverse HIV-1 variants, potentially leading to broader treatment options against the virus.
Article Synopsis
- The RNA interference (RNAi) pathway can potentially be utilized for gene therapy against HIV-1, with short hairpin RNA (shRNA) being the most effective inducer, although it's limited to one target, necessitating a combination of multiple shRNAs to tackle resistant viral strains.
- Researchers analyzed a vast collection of HIV-1 gene sequences to identify 96 target sequences with high conservation and predicted effectiveness for shRNA development, leading to the construction of 96 shRNAs that demonstrated impressive suppression rates of 71-75%.
- The study highlighted some technical challenges with long target domains in assays, suggesting that dividing lengthy targets into shorter sequences could enhance the accuracy and effectiveness of the tests.
Vector construction with restriction enzymes (REs) typically involves the ligation of a digested donor fragment (insert) to a reciprocally digested recipient fragment (vector backbone). Creating a suitable cloning plan becomes increasingly difficult for complex strategies requiring repeated insertions such as constructing multiple short hairpin RNA (shRNA) expression vectors for RNA interference (RNAi) studies. The problem lies in the reduced availability of suitable RE recognition sites with an increasing number of cloning events and or vector size.
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