Recommended

Hear from industry leaders in our upcoming live sessions
Read our latest digital journal for free

List view / Grid view

RNAi

 

RNAi_Europe
RNAi_Europe
article

Putting the ‘fun’ into functional genomics: a review of RNAi genomewide cellular screens

18 December 2012 | By Dr. Stephen Brown, Sheffield RNAi Screening Facility, Biomedical Sciences, University of Sheffield

As RNA interference (RNAi) enters its teenage years from the first critical observations, it has now reached a multi-billion pound industry. There are few research areas that have expanded as quickly and spectacularly as the field of RNAi. The potential of RNAi initially sparked a functional genomics gold rush. Different…

What is label-free screening and why use it in drug discovery?
What is label-free screening and why use it in drug discovery?
article

Ten years of siRNA – a clinical overview

10 July 2012 | By Katharina Bruno, Principal Scientist, Technical Research & Development (TRD), Novartis Pharma AG

In 2001, small interfering RNA (siRNA) was discovered as the mediator of RNA interference (RNAi), a transient and specific repression mechanism of protein expression1. After the pharmaceutical industry became aware of the intrinsic versatility and potential of this molecule, a race to develop the first siRNA based drug began. However,…

FIGURE 1miRNAs can impact viral infection directly by interacting with viral genes or indirectly by regulating host genes that play a role in the infection. miRNAs are derived from transcripts that contain stem-loop structures which get recognised and processed by a series of enzymes to generate the short (~22 nt) duplex RNA. One strand of the duplex is preferentially incorporated into the RNA-induced silencing complex (RISC) and guides this complex to mRNAs or other viral elements that contain regions of complementarity to the miRNA
FIGURE 1miRNAs can impact viral infection directly by interacting with viral genes or indirectly by regulating host genes that play a role in the infection. miRNAs are derived from transcripts that contain stem-loop structures which get recognised and processed by a series of enzymes to generate the short (~22 nt) duplex RNA. One strand of the duplex is preferentially incorporated into the RNA-induced silencing complex (RISC) and guides this complex to mRNAs or other viral elements that contain regions of complementarity to the miRNA
article

microRNA manipulation as a host-targeted antiviral therapeutic strategy

13 December 2011 | By Nouf N. Laqtom, University of Edinburgh & King Abdulaziz University and Amy H. Buck, University of Edinburgh

microRNAs (miRNA) are a class of non-coding RNA that regulate the precise amounts of proteins expressed in a cell at a given time. These molecules were discovered in worms in 1993 and only known to exist in humans in the last decade. Despite the youth of the miRNA field, miRNA…

FIGURE 1 siRNA design principles. (A) Highly effective standard siRNAs have a guide strand (in green) with a less thermodynamically stable 5’ than 3’ end (indicated with dashed lines) and position-specific nucleotide preferences (indicated above guide strand). P and OH indicate 5’ phosphate groups and 3’ hydroxyl ends, respectively; blue region indicate seed region. (B) Bi-functional siRNAs targeting a single or (C) two different transcripts. (D) A dual-targeting siRNA where one strand (light green) targets EGFR and the other strand (dark green) targets CCND1
FIGURE 1 siRNA design principles. (A) Highly effective standard siRNAs have a guide strand (in green) with a less thermodynamically stable 5’ than 3’ end (indicated with dashed lines) and position-specific nucleotide preferences (indicated above guide strand). P and OH indicate 5’ phosphate groups and 3’ hydroxyl ends, respectively; blue region indicate seed region. (B) Bi-functional siRNAs targeting a single or (C) two different transcripts. (D) A dual-targeting siRNA where one strand (light green) targets EGFR and the other strand (dark green) targets CCND1
article

Unconventional RNA interference – recent approaches to robust RNAi

19 October 2011 | By Marie Lundbæk, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology and Pål Sætrom, Department of Cancer Research and Molecular Medicine & Department of Computer and Information Science, Norwegian University of Science and Technology

RNA interference (RNAi) is now a standard tool in molecular biology. Short interfering RNAs (siRNAs) for knocking down your favourite human gene are only a couple of mouse-clicks away at your favourite reagent supplier’s website. Moreover, in contrast to initial attempts at siRNA design, these siRNAs usually give potent target…

Figure 1 Schematic illustration of arrayed or pooled RNAi screens in cells. Left panel. Pooled-viral vectors encoding libraries of shRNAs targeting multiple genes can be used to transduce a target cell population in a single tissue culture dish. After selection for the desired phenotype, cells are analysed for the identification of genes whose inhibition by RNAi knockdown cause the specific phenotype as described in Table 1. The relative abundance of each shRNA or a random 60-mer barcode expressed from the same vector as the specific shRNA can be identified and quantified by labelling the PCR product with fluorescent dyes (e.g., Cy5 or Cy3). The PCR products are then hybridised to custom designed cDNA microarrays containing barcode or shRNA complementary oligonucleotides. The relative abundance of barcodes obtained from the cells that were exposed to selective pressure are compared to that detected in control cells that have been exposed to the same shRNA library, but not to the selective pressure (for example, drug treatment or genetic mutations). Right panel. Arrayed RNAi screen libraries consist of individual siRNA or shRNA reagents that target different genes and that are placed in each well of a multi-well plate. RNAi reagent libraries can comprise synthetic siRNAs, plasmid-or virally-encoded shRNAs. Various assay readouts are used to determine the effect of RNAi on the phenotype as described in Table 1. Adapted10.
Figure 1 Schematic illustration of arrayed or pooled RNAi screens in cells. Left panel. Pooled-viral vectors encoding libraries of shRNAs targeting multiple genes can be used to transduce a target cell population in a single tissue culture dish. After selection for the desired phenotype, cells are analysed for the identification of genes whose inhibition by RNAi knockdown cause the specific phenotype as described in Table 1. The relative abundance of each shRNA or a random 60-mer barcode expressed from the same vector as the specific shRNA can be identified and quantified by labelling the PCR product with fluorescent dyes (e.g., Cy5 or Cy3). The PCR products are then hybridised to custom designed cDNA microarrays containing barcode or shRNA complementary oligonucleotides. The relative abundance of barcodes obtained from the cells that were exposed to selective pressure are compared to that detected in control cells that have been exposed to the same shRNA library, but not to the selective pressure (for example, drug treatment or genetic mutations). Right panel. Arrayed RNAi screen libraries consist of individual siRNA or shRNA reagents that target different genes and that are placed in each well of a multi-well plate. RNAi reagent libraries can comprise synthetic siRNAs, plasmid-or virally-encoded shRNAs. Various assay readouts are used to determine the effect of RNAi on the phenotype as described in Table 1. Adapted10.
article

RNAi screens for the identification and validation of novel targets: Current status and challenges

16 December 2010 | By Attila A. Seyhan, Translational Immunology, Inflammation and Immunology, Pfizer Pharmaceuticals

Recent advances in RNA interference (RNAi) technology and availability of RNAi libraries in various formats and genome coverage have impacted the direction and speed of drug target discovery and validation efforts. After the introduction of RNAi inducing reaagent libraries in various formats, systematic functional genome screens have been performed to…

article

Functional genomics as a tool for guiding personalised cancer treatment

29 October 2010 | By Roderick Beijersbergen, Group Leader Molecular Carcinogenesis, the Netherlands Cancer Institute

Improved understanding of the molecular alterations in cancer cells has fuelled the development of more specific and directed cancer therapies. However, it has become clear that response rates can be low due to confounding genetic alterations that render these highly specific therapies ineffective. As a result, the costs of cancer…

Figure 1 siRNA drug discovery pipeline
Figure 1 siRNA drug discovery pipeline
article

The evolution of RNAi technologies in the drug discovery business

29 October 2010 | By Jason Borawski and L. Alex Gaither, Novartis Institutes for Biomedical Research

In the past decade, the pharmaceutical industry has exploited the naturally occurring cellular RNAi pathway to enhance drug discovery research. The RNAi pathway, triggered by dsRNA, selectively, although not always specifically, degrades mRNA leading to substantial decreases in post-transcriptional gene expression1. Researchers have capitalised on this intrinsic pathway by synthesising…