Antisense RNA does not significantly affect expression of the galK gene of Escherichia coli or the N gene of coliphage lambda

Colocalization of antisense RNAs and ribozymes with their target mRNAs

The use of complementary RNA sequences such as antisense RNAs and ribozymes to regulate the expression of specific genes in eukaryotic cells has been well-documented, particularly with their application to both human gene therapy and plant biotechnology. Despite the simplicity of this approach, this technique usually results in only partial suppression of gene expression and, in some instances, even fails to regulate the gene of interest. The variation observed with antisense RNA and ribozyme-mediated regulation is further complicated by the many factors with the potential to impact on the effectiveness of these RNAs. Recent advances in the understanding of the global architecture of the nucleus, chromatin structure, and RNA metabolism provide useful and necessary information for designing novel approaches to improving antisense RNA and ribozyme regulation. These studies predict that the position of genes within the nucleus is not random and that transcripts produced from these genes follow specific tracks in migrating to the cell cytoplasm. These observations have the potential to impact significantly on the ways in which RNA-mediated forms of gene regulation are applied. The purpose of this review is to discuss the concept of colocalizing antisense RNAs and ribozymes with their target mRNAs and to introduce a variety of approaches aimed at achieving this goal.

Paradoxical production of target protein using antisense RNA expression vectors

We used antisense RNA in a protocol designed to reduce estrogen receptor (ER) content in human breast cancer cells and observed paradoxical increases in ER levels. ER protein activity was measured using a highly sensitive reporter gene assay that relies on the ability of functional ER to bind a consensus estrogen response element (ERE) and drive the production of chloramphenicol acetyl-transferase (CAT). Upon transient transfection of ER-positive cell lines with three different vectors containing the full-length ER cDNA cloned in an antisense orientation, we observed unexpected increases in ER-driven CAT activity. To further investigate this phenomenon, expression from the antisense ER vectors was studied in an ER-negative breast tumor cell line, MDA-MB-453. ER activity was observed in these ER-negative cells upon transient transfection with each of three antisense ER vectors, but not from control vectors. Expression of ER from antisense constructs was 30-100-times less efficient than ER expression from isogenic sense constructs. The paradoxical ER activity was consistent with expected ER behavior in that it exhibited characteristic binding to the natural ligand, 17 beta-estradiol (E2), and it was inhibited by the antiestrogens, 4-hydroxy-tamoxifen (OHT) and ICI 164384 (ICI). Control vectors containing a truncated antisense ER cDNA produced no ER activity. Although the mechanism for this ER expression has not been determined, it appears likely that it is due to transcription off the opposite strand of the antisense construct.(ABSTRACT TRUNCATED AT 250 WORDS)

Isolation of dominant negative mutants and inhibitory antisense RNA sequences by expression selection of random DNA fragments

Selective inhibition of specific genes can be accomplished using genetic suppressor elements (GSEs) that encode antisense RNA, dominant negative mutant proteins, or other regulatory products. GSEs may correspond to partial sequences of target genes, usually identified by trial and error. We have used bacteriophage lambda as a model system to test a concept that biologically active GSEs may be generated by random DNA fragmentation and identified by expression selection. Fragments from eleven different regions of lambda genome, encoding specific peptides or antisense RNA sequences, rendered E. coli resistant to the phage. Analysis of these GSEs revealed some previously unknown functions of phage lambda, including suppression of the cellular lambda receptor by an 'accessory' gene of the phage. The random fragment selection strategy provides a general approach to the generation of efficient GSEs and elucidation of novel gene functions.