Science Watch® - Tracking Trends and Performance in Basic Research
September/October 2005


Specificity Issues Don’t Interfere with RNAi’s Promise
by Jeremy Cherfas
WHAT'S HOT IN BIOLOGY
Rank      Paper Citations This Period (Mar-Apr 05) Rank Last Period (Jan-Feb 05)
1 M. Zuker, et al., "Mfold web server for nucleic acid folding and hybridization prediction," Nucl. Acids Res., 31(13): 3406-15, 1 July 2003. [Rensselaer Polytech. Inst., Troy, NY] *695LT 62 2
2 C.A. Sledz, et al., "Activation of the interferon system by short-interfering RNAs," Nature Cell Biol., 5(9): 834-9, September 2003. [Cleveland Clinic Fdn., OH; Case Western Reserve U., Cleveland, OH] *716YZ 47
3 T. Schwede, et al., "SWISS-MODEL: an automated protein homology-modeling server," Nucl. Acids Res., 31(13): 3381-5, 1 July 2003. [U. Basel, Switzerland; Swiss Inst. Bioinformatics, Basel; Novartis AG, Basel; GlaxoSmithKline, Research Triangle Park, NC] *695LT 42 4
4 A.L. Jackson, et al., "Expression profiling reveals off-target gene regulation by RNAi", Nature Biotech., 21(6): 635-7, June 2003. [Rosetta Inpharmatics, Kirkland, WA] *684RR 40
5 J.M. Alonso, et al., "Genome-wide insertional mutagenesis of Arabidopsis thaliana," Science, 301(5633): 653-7, 1 August 2003. [Salk Inst. Biol. Stud., La Jolla, CA; Plant Biotech. Inst., Saskatoon, Canada; U. Calif., San Diego] *706UN 40 7
6 R.A. Gibbs, et al. (The International HapMap Consortium), "The International HapMap Project", Nature, 426(6968): 789-96, 18/25 December 2003. [74 institutions worldwide] *754QM 40 6
7 R.A. Gibbs, et al. (Rat Genome Sequencing Project Consort.), "Genome sequence of the Brown Norway rat yields insights into mammalian evolution," Nature, 428(6982): 493-521, 1 April 2004. [40 institutions worldwide] *807ZT 39 8
8 W.-K. Huh, et al., "Global analysis of protein localization in budding yeast," Nature, 425(6959): 686-91, 16 October 2003. [U. Calif. San Francisco, Howard Hughes Med. Inst., San Francisco, CA] *732DA 37 5
9 L. Giot, et al., "A protein interaction map of Drosophila melanogaster," Science, 302(5651): 1727-36, 5 December 2003. [CuraGen Corp., New Haven, CT; Wayne St. U. Sch. Med., Detroit, MI; Yale U. Sch. Med., New Haven, CT] *750AX 37
10 A. Khvorova, A. Reynolds, S.D. Jayasena, "Functional siRNAs and miRNAs exhibit strand bias," Cell, 115(2): 209-16, 17 October 2003. [Amgen, Inc., Thousand Oaks, CA; Dharmacon, Inc., Lafayette, CO] *734DD 35
 SOURCE: ISI’s Hot Papers DatabaseRead  the Legend.

RNA interference (RNAi) is a method of blocking gene function by inserting short sequences of RNA designed to match part of the target gene’s sequence. It has risen to prominence as a way to work out what genes do and—perhaps—manipulate them for therapeutic ends. But two highly cited papers at #2 and #4 took some of the shine off these latest silver bullets. Both show that the effects of RNAi are felt much more widely than by the target gene alone.

The favored technique for inducing RNAi is to introduce short interfering RNA (siRNA). These are double-stranded pieces of RNA, generally 21 base-pairs long. One reason why short pieces are used is that longer double-stranded RNA (dsRNA) activates the cell’s interferon system, an innate and non-specific component of the immune system which effectively shuts down the machinery of a cell infected by viruses; double-stranded RNA is produced during viral replication and gene expression. Carol Sledz and her colleagues at the Lerner Research Institute in Cleveland, Ohio, discovered that siRNAs also stimulate the interferon system, sounding a note of caution that "siRNAs have broad and complicating effects beyond the selective silencing of target genes when introduced into cells."

Using a panel of seven synthetic siRNAs, each specific to a different gene, Sledz and her team saw increased activity in more than 50 genes that are normally activated by interferon. This effect is entirely non-specific, although the different siRNA molecules affected different components of the interferon system somewhat differently. And it depends crucially on the presence of dsRNA-dependent protein kinase (PKR), which is activated by siRNAs and which is required for interferon activation. But the absence of PKR does not block RNA interference itself.

Aimee Jackson and her group at Rosetta Inpharmatics in Kirkland, Washington, were also not impressed with previous claims of siRNAs’ "exquisite sensitivity." In their paper at #4 they point out that most previous studies of gene silencing by siRNAs looked at only "one or a few genes in addition to the targeted gene, an approach not unlike ‘looking for keys under the lamppost’." Jackson’s group felt their way out into the dark, creating 16 siRNAs for one gene and 8 for another and then looking at the overall pattern of gene expression after inserting each siRNA into a human cell line. Each siRNA inhibited its target gene right enough, but each also had a completely different impact on all the other genes in the cell. Furthermore, siRNA targeted to a gene that has no known human homolog also reliably affected several other genes.

Examining in detail the genes affected by the siRNAs, Jackson’s group was able to divide them into different groups depending on how quickly they were affected. A group of nine genes were shut down effectively at the same time as the target gene, suggesting that the mechanism was direct, rather than depending on some interaction of the siRNA with its intended target. And all of those genes contained a sequence partially identical to the siRNA sequence. In some the similarity was a core of 14-15 nucleotides in the middle of the sequence. In the others the similarity was confined to 9 nucleotides at one end of the sequence. A similar pattern showed up in the genes affected by another two siRNAs.

Both papers, then, indicate that siRNA can have considerable unforeseen effects. In the case of the interferon system, such effects are effectively siRNA specific but the sequence itself has no great influence. Jackson’s results do reflect the siRNA sequence, and have been called off-target to indicate that they are not completely non-specific. In both cases this must have contributed to the papers’ high citation rates as researchers discussed the implications for therapeutic prospects. The research itself, however, has already moved on. Sledz and her colleague Bryan Williams recently published a review of RNAi pointing out that the technique has already been applied to silence oncogenes in leukemias (see C.A. Sledz, B.R. Williams, Blood, 106[3]: 787-94, 1 August 2005). The review summarizes progress in understanding in detail the mechanisms of off-target and non-specific effects and, more importantly, devising ways to minimize them. Experimental models and clinical trials are proliferating, and hopes for RNAi therapy remain high. Two years ago these highly cited papers might have looked like obstacles. Today they can already be seen as having goaded scientists into better research and deeper understanding.end

Dr. Jeremy Cherfas is Science Writer at the
International Plant Genetic Resources Institute, Rome, Italy.

View the top 10 scientists and/or top 3 Hot Papers in Biology; for the period of January 1, 1995-April 30, 2005.
Science Watch®, September/October 2005, Vol. 16, No. 5
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