Open Biosystems Launches Inducible Lentiviral shRNAmir Library
News Aug 03, 2007
Open Biosystems, Inc. has announced the release of shRNAmir libraries with its Expression Arrest™ TRIPZ™ inducible lentiviral shRNAmir library for RNAi.
Targeting the entire human genome with multiple shRNAmir constructs per gene, the TRIPZ inducible lentiviral shRNAmir library builds on Open Biosystems' vector-based RNAi technologies that will enable researchers to realize the inherent value of vector-based RNAi.
This offering for inducible RNAi, the first of its kind, allows for rapid validation of drug targets by the creation of in vivo animal models, a necessary step in the drug discovery process, the company says.
The TRIPZ library consists of shRNAmir constructs that have been pre- cloned into a Tetracycline-inducible lentiviral vector, resulting in RNAi trigger that expands the potential of RNAi to cell and animal models previously refractory to RNAi.
Open Biosystems' TRIPZ shRNAmir will provide researchers and scientists with options for tightly regulated RNAi and increased delivery range into a vast number of cell types from primary and non-dividing cells to in vivo animal models.
"Inducible Lentiviral shRNAmir takes RNAi research to the next level. The new TRIPZ™ inducible shRNAmir makes it possible to both analyze the effect of gene knockdown as well as validate that result in the same experiment. Open Biosystems continues to arm the research community with leading edge technologies necessary to propel and sustain biological research," said Gwen Fewell, PhD, Product Manager for RNAi at Open Biosystems.
Expression Arrest human TRIPZ lentiviral shRNAmir is available immediately as individual shRNAmir constructs, target gene sets or a whole genome library subscription.
The American Society of Human Genetics (ASHG), along with several co-signing organizations, issued a position statement today outlining whether, and to what extent, there is a responsibility to recontact genetic and genomic research participants when new findings emerge that suggest their genetic information should be interpreted differently, which would allow participants to benefit from current genomics advances.READ MORE