A novel snoRNA gene cluster in yeast is transcribed as polycistronic pre-snoRNAs

Small nucleolar RNAs (snoRNAs) play an important role in eukaryotic rRNA biogenesis. By combination of a computer search of EMBL database and experimental procedure, a novel snoRNA coding sequence (Z8) was screened out and characterized from yeastSaccharomyces cerevisiue genome. Z8 snoRNA gene codes a boxC/D antisense snoRNA which guides, deduced from structure analysis, the 2′-O-ribose methylation at U₂₄₂₁ of 25S rRNA. After disruption of Z8 snoRNA gene, the methylation at corresponding site was abolished, but no gmwth delay was observed in various cultural temperatures. Z8 DNA is the first gene of a gene cluster consisting of three cognate snoRNA genes which are located on an intergenic region of chromosome XIII. This gene cluster is co-transcribed as a polycistronic precursor from a + 247 bp U snoRNA gene promoter, followed by processing to release individual snoRNAs, representing a new expression pattern of snoRNA genes.     

Gene expression analysis in blood cells in response to unmodified and 2'-modified siRNAs reveals TLR-dependent and independent effects

Ribonucleic nucleic acid recognition by Toll-like receptors (TLRs) induces innate immune responses. However, no comprehensive analysis of gene expression in human blood cells in response to unmodified and 2'-modified immunostimulatory RNAs has been reported. Using oligonucleotide microarrays, we show that around 400 genes were significantly (P<0.001) altered in peripheral blood mononuclear cells (PBMC) in response to either single-stranded (ss) or double-stranded (ds) small interfering RNAs (siRNAs). Most of the upregulated genes encode proteins involved in innate and adaptive immune responses, including proinflammatory cytokines, interferons, chemokines and chemokine receptors. Genes encoding proteins involved in lymphocyte activation (e.g. CD80, CD40, and CD69) and in regulation of the immune responses (e.g. SOCS proteins) were upregulated. Also, genes encoding for antiviral proteins (Mx1, Mx2, TRIM proteins), and interferon regulatory factors (e.g. IRF7) were upregulated. Around 90% of the genes (140 out of 160) affected by R-848, a specific ligand for TLR7 and TLR8, were also affected by ss siRNAs or ds siRNAs, indicating that the signaling pathways activated by R-848 are also activated by immunostimulatory siRNAs. In addition to immunoactivation via TLRs, ss siRNAs and ds siRNAs induced TLR-independent gene alterations. Surprisingly, replacement of only uridine bases with either 2'-fluoro or 2'-O-methyl modified counterparts abrogated all the observed bystander effects. Collectively, these microarray data offer for the first time an insight into human PMBC response to immunostimulatory RNAs such as ss siRNAs and ds siRNAs. The data should help to define strategies to either enhance or avoid the non-specific effects of siRNAs in order to develop safe therapeutics.     

Gene silencing in Escherichia coli using antisense RNAs expressed from doxycycline‐inducible vectors

Here, we report on the construction of doxycycline (tetracycline analogue)‐inducible vectors that express antisense RNAs in Escherichia coli. Using these vectors, the expression of genes of interest can be silenced conditionally. The expression of antisense RNAs from the vectors was more tightly regulated than the previously constructed isopropyl‐β‐D‐galactopyranoside‐inducible vectors. Furthermore, expression levels of antisense RNAs were enhanced by combining the doxycycline‐inducible promoter with the T7 promoter‐T7 RNA polymerase system; the T7 RNA polymerase gene, under control of the doxycycline‐inducible promoter, was integrated into the lacZ locus of the genome without leaving any antibiotic marker. These vectors are useful for investigating gene functions or altering cell phenotypes for biotechnological and industrial applications.

Significance and Impact of the Study

A gene silencing method using antisense RNAs in Escherichia coli is described, which facilitates the investigation of bacterial gene function. In particular, the method is suitable for comprehensive analyses or phenotypic analyses of genes essential for growth. Here, we describe expansion of vector variations for expressing antisense RNAs, allowing choice of a vector appropriate for the target genes or experimental purpose.     

A novel snoRNA gene cluster in yeast is transcribed as polycistronic pre-snoRNAs

Small nueleolar RNAs (snoRNAs) play an important role in eukaryotic rRNA biogenesis. By combination of a computer search of EMBL database and experimental procedure, a novel snoRNA coding sequence (Z8) was screened out and characterized from yeast Saccharomyces cerevisiae genome. Z8 snoRNA gene codes a boxC/D antisonse snoRNA which guides, deduced from structure analysis, the 2'-O-ribose methylation at U_(2421) of 25S rRNA. After disruption of Z8 snoRNA gene, the methylation at corresponding site was abolished, but no growth delay was observed in various cultural temperatures. Z8 DNA is the first gene of a gene cluster consisting of three cognate snoRNA genes which are located on an intergenie region of chromosome ⅩⅢ. This gene cluster is co-transcribed as a pelycistronic precursor from a 247 bp U snoRNA gene promoter, followed by processing to release individual snoRNAs, representing a new expression pattern of snoRNA genes.     

SRNAome and degradome sequencing analysis reveals specific regulation of sRNA in response to chilling injury in tomato fruit

Plant genomes encode diverse small RNA classes that function in distinct gene‐silencing pathways. To elucidate the intricate regulation of microRNAs (miRNAs) and endogenous small‐interfering RNAs (siRNAs) in response to chilling injury in tomato fruit, the deep sequencing and bioinformatic methods were combined to decipher the small RNAs landscape in the control and chilling‐injured groups. Except for the known miRNAs and ta‐siRNAs, 85 novel miRNAs and 5 ta‐siRNAs members belonging to 3 TAS families (TAS5, TAS9 and TAS10) were identified, 34 putative phased small RNAs and 740 cis/trans‐natural antisense small‐interfering RNAs (nat‐siRNAs) were also found in our results which enriched the tomato small RNAs repository. A large number of genes targeted by those miRNAs and siRNAs were predicted to be involved in the chilling injury responsive process and five of them were verified via degradome sequencing. Based on the above results, a regulatory model that comprehensively reveals the relationships between the small RNAs and their targets was set up. This work provides a foundation for further study of the regulation of miRNAs and siRNAs in the plant in response to chilling injury.