Delivery of RNAi or Cre by Ultrasound-Guided Injection of High Titer Lentiviral Vectors

By Jiwu Wang

According to the Skin Cancer Foundation, skin cancer is the most common type of cancer in the US. Although the skin might seem to be an easy target for gene therapy or RNAi mediated functional corrections, the outer keratinized epithelial cells forms a formidable barrier to delivery of genetic material. The epidermis undergoes rapid turnover, a fact that further complicates gene therapy because gene transfer to skin stem cells would be required for sustained effects.

Before skin gene therapy can be discussed with any practical meaning, a physiologically relevant in vivo model for studying gene function in the context of tumorigenesis and epithelial biology must be established. Studies of gene functions in skin homeostasis in mouse models were mostly performed by labor-intensive knockout methods. Recently, at least two publications have shown that by using ultrasound-guided injection of lentiviruses into amniotic fluids, transgene or shRNA can be efficiently and specifically delivered to epidermis, including skin stem cells, creating a very attractive model for functional studies and therapeutic tests.

Localized injection of high titer lentiviral vectors has been widely used for studying genes in brain development and a few other areas. Instead of injection into animal tissues, Endo et al. injected tiny volume (nl) of high titer lentivirus (10e10 TU/ml) into amniotic cavities within a defined window of embryogenesis [1]. By following fluorescent protein markers (CFP, GFP, YFP, RFP), both Endo et al. and researchers from Elaine Fuchs group demonstrated high efficiency and specificity of delivery to epithelial cells, commonly resulting in multiple genomic insertions of the viral genome.

RNAi against alfa1-catenin was used by Beronja and colleagues as an example to show that loss-of-function analysis can be done rather easily using shRNA/FP bearing lentivirus [2]. nlCre was also delivered to embryos with loxP-flanked transgenes vs wildtype for conditional knockout studies. These new findings should open doors to various experiments and therapies concerning the health of the skin.

1. Endo, M., P.W. Zoltick, W.H. Peranteau, A. Radu, N. Muvarak, M. Ito, Z. Yang, G. Cotsarelis, and A.W. Flake, Efficient in vivo targeting of epidermal stem cells by early gestational intraamniotic injection of lentiviral vector driven by the keratin 5 promoter. Mol Ther, 2008. 16(1): p. 131-7.
2. Beronja, S., G. Livshits, S. Williams, and E. Fuchs, Rapid functional dissection of genetic networks via tissue-specific transduction and RNAi in mouse embryos. Nat Med. 16(7): p. 821-7.

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Tags: cre, Fluorescent proteins, in vivo injection, lentiviral vector, lentivirus, loxP, nlCre, RNAi, shRNA, skin cancer, skin care, skin therapy, sunscreen, transgene

RNAi Design, Validation and Target Screening

Since Tuschl et al. published the first empirical guidelines on how to design effective siRNA [1], the most significant advancement (based on the understanding of biochemical mechanisms of RNAi such as how RISC is assembled) is the recognition of asymmetric thermostability of the 5’ end of the antisense strand (AS) relative to that of the sense strand (SS) [2, 3]. siRNAs with an A/T-rich AS 5’ end can be more easily integrated into RISC. By biasing against the sense strand for RISC loading, the off-target effects due to the presence of the SS (as one of the sources of off-targets effects) can also be minimized. In recent years datasets of increased number of siRNAs and shRNAs became available and statistical analysis suggested additional rules for RNAi design. These newer rules in general define the siRNA prediction parameters in more detail, for instance, the number of bases of the 5’ ends that should be included when calculating asymmetric thermostability, base preferences at each particular position, and the identity of the 2 nt 3’ overhang [4, 5]. Computer programs and websites are developed based on these features also resulting from NIH funded research through universities and organizations. Among the well-known ones, Design of SIRna (DSIR at biodev.extra.cea.fr/DSIR/DSIR.html) and the shRNA search program at the Broad Institute (broadinstitute.org/genome_bio/trc/publicSearchForHairpinsForm.php) are freely available.

Several companies such as Open Biosystems, System Biosciences, Dharmacon/ThermoFisher, Sigma-Aldrich, Invitrogen/LifeTech, provide premade RNAi reagents against various numbers of human and rodent genes. Although some product lines from these suppliers are labeled as validated RNAi reagents, apparently only one reveals clone sequences and only a few hundred among the claimed 4,500 shRNA clones. It is not possible to find what shRNAs are used against any target gene from most companies even though many of them claim to have a few hundred pre-validated constructs. Some of them may provide additional information upon purchase.

Even with the recent advancement of RNAi design technologies, prediction of effective RNAi is still far from accurate. Depending on the datasets used to score the success rates of the programs at DSIR, Broad or any other software, the general consensus is that about 50% of predicted RNAi target sequences will be effective, resulting in better than 70% gene knockdown. Allele Biotech uses a software that was trained with known RNAi results to predict siRNA target candidates on a given mRNA, and then applies an additional set of rules to pick the most promising candidates. Off-target effects caused by partial-matching between AS strand and untended targets are reduced by searching the chosen site against the NCBI gene base. The basic rules Allele Biotech uses include most currently known ones and are similar to what are listed by The RNAi Consortium (TRC) program at the Broad Institute.

Criteria for RNAi design:
(1) Overall GC content is between 30-55%
(2) The 4 bases at the 5’ of AS is more AT-rich than those of the SS
(3) The first base of AS and SS 5’ is preferably A/T and G/C, respectively
(4) “U” is preferred at the 10th position of the antisense from the 5’ end
(5) “C” is to be avoided as the last base of an overhang
(6) Avoid 4-nt mono-nucleotide regions
(7) Avoid 6-nt GC-rich regions
(8) If possible, do not include those with apparent secondary structures

These selected rules are based on a number of publications (for example, [4-6]), but it is impossible to include all known rules, many of which conflict with each other. In case of conflicting rules we rely more on recent discoveries and our own experience from providing RNAi service during the past 8 years.

Allele Biotech provides RNAi validation and screening services to customers using synthetic siRNA, linear DNA cassettes with engineered Pol III promoter, and shRNA expressing lentiviral vectors in high throughput formats. In a unique design, all RNAi target candidate sequences of a gene transcript are fused consecutively to a bright green fluorescent protein, mWasabi, on a lentiviral vector. Instead of analyzing gene silencing by QPCR, the initial selection of effective RNAi can be performed by measuring fluorescence.

RNAi screening has been conducted to identify correlations between gene functions and cellular phenotypes such as synthetic lethality among DNA damage signaling and repair pathway factors. Successfully performing high throughput screenings requires capabilities of efficient RNAi design, viral packaging, fluorescent proteins, and advanced cell culture and analysis techniques. In addition to these capabilities, Allele’s RNAi services are provided with access to commercial use of Allele’s own patents on Pol III promoter driven shRNA expression, and licensed patents on lentiviral vector, packaging, and fluorescent proteins.

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1. Tuschl, T., P.D. Zamore, R. Lehmann, D.P. Bartel, and P.A. Sharp, Targeted mRNA degradation by double-stranded RNA in vitro. Genes Dev, 1999. 13(24): p. 3191-7.
2. Khvorova, A., A. Reynolds, and S.D. Jayasena, Functional siRNAs and miRNAs exhibit strand bias. Cell, 2003. 115(2): p. 209-16.
3. Schwarz, D.S., G. Hutvagner, T. Du, Z. Xu, N. Aronin, and P.D. Zamore, Asymmetry in the assembly of the RNAi enzyme complex. Cell, 2003. 115(2): p. 199-208.
4. Vert, J.P., N. Foveau, C. Lajaunie, and Y. Vandenbrouck, An accurate and interpretable model for siRNA efficacy prediction. BMC Bioinformatics, 2006. 7: p. 520.
5. Zhou, H. and X. Zeng, Energy profile and secondary structure impact shRNA efficacy. BMC Genomics, 2009. 10 Suppl 1: p. S9.
6. Ui-Tei, K., Y. Naito, F. Takahashi, T. Haraguchi, H. Ohki-Hamazaki, A. Juni, R. Ueda, and K. Saigo, Guidelines for the selection of highly effective siRNA sequences for mammalian and chick RNA interference. Nucleic Acids Res, 2004. 32(3): p. 936-48.

Tags: cell based assays, DNA damage repair, gene knockdown, gene silencing, lentiviral vector, Pol III promoter, RNAi, RNAi design, RNAi screening, RNAi service, RNAi targets, shRNA, siRNA, Synthetic lethal

What seems to be going on with RNAi related patents in the US

Reciting Table 1 from Ref 1 and Table 3 from Ref 2:

By the end Nov 2008 it appears that Allele’s patent (US 7,294,504 and 7,422,896) are the only currently granted DNA based RNAi patents. The focus of Allele’s technology is siRNA of 21-23, either in separate sense and antisense strands, or shRNA or miRNA format, thus not covered by the Fire patent or the Kreutzer-Limmer patent. Since these RNAi inducers are not synthesized by chemical reactions, or produced with enzymes or cell lysate in vitro, they do not relate to Tuschl I or II patent groups. Allele Biotech can not guarantee that its interpretation is correct or final by any means; commercial user of any of the related technologies should perform own due diligence.

[1] Charlie Schmidt. March 2007 “Negotiating the RNAi patent thicket” Nature Biotechnology 25 (3): 273-275

[2] Dirk Haussecker. May 2008 “The Business of RNAi Therapeutics” Human Gene Therapy 19: 451-462

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Tags: gene silencing, H1, lentiviral vector, miRNA, PCR cassette, plasmid vector, pol III, retroviral vector, RNAi, shRNA, siRNA, U6