Photochemically induced gene silencing using PNA-peptide conjugates

The potential for exploration of peptide nucleic acid (PNA) as an experimental and therapeutic regulator of gene expression has been hampered by a poor delivery and a lack of site-specific targeting. In the present study, we have developed an efficient strategy for nuclear delivery of PNA by combining cationically charged PNA-peptide conjugates and photochemical internalization (PCI) technology. When using the S100A4 gene as a model system, a consistent downregulation to around 10% remaining protein signal was obtained in three selected cell lines. Furthermore, a dose-dependent and time-dependent inhibition of the S100A4 protein was demonstrated. A main benefit of the strategy proposed is the possibility of site-specific targeting.     

Profiling of VEGFs and VEGFRs as prognostic factors in soft tissue sarcoma: VEGFR-3 is an independent predictor of poor prognosis

Background

In non-gastrointestinal stromal tumor soft tissue sarcoma (non-GIST STS) optimal treatment is surgery with wide resection margins. Vascular endothelial growth factors (VEGFs) and receptors (VEGFRs) are known to be key players in the initiation of angiogenesis and lymphangiogenesis. This study investigates the prognostic impact of VEGFs and VEGFRs in non-GIST STS with wide and non-wide resection margins.

Methods

Tumor samples from 249 patients with non-GIST STS were obtained and tissue microarrays were constructed for each specimen. Immunohistochemistry was used to evaluate the expressions of VEGF-A, -C and -D and VEGFR-1, -2 and -3.

Results

In the univariate analyses, VEGF-A (P = 0.040) in the total material, and VEGF-A (P = 0.018), VEGF-C (P = 0.025) and VEGFR-3 (P = 0.027) in the subgroup with wide resection margins, were significant negative prognostic indicators of disease-specific survival (DSS). In the multivariate analysis, high expression of VEGFR-3 (P = 0.042, HR = 1.907, 95% CI 1.024-3.549) was an independent significant negative prognostic marker for DSS among patients with wide resection margins.

Conclusion

VEGFR-3 is a strong and independent negative prognostic marker for non-GIST STSs with wide resection margins.     

Optimization of hammerhead ribozymes for the cleavage of S100A4 (CAPL) mRNA

Previously, suppression of the S100A4 mRNA by an endogenously expressed ribozyme in osteosarcoma cells was shown to inhibit their metastasis in rats. As a prelude to performing similar studies with exogenous, synthetic ribozymes, we compared a series of hammerhead ribozymes targeted against different sites in the mRNA. The ribozymes differed only in the 7-base flanking sequences complementary to the substrate and were protected against nucleases by chemical modification. Cleavage efficiency varied widely and was not obviously related to the predicted secondary structure of the target RNA. The most active ribozyme of the series was chosen for further optimization. Lengthening its flanking sequences was counterproductive and reduced cleavage even when using excess ribozyme. Using excess substrate (multiple-turnover kinetics), cleavage was fastest with the (6+8) ribozyme having 6 nucleotides (nt) in stem III and 8 nt in stem I. Although these stems strongly influence ribozyme performance, their optimization is still empirical. Faster cleavage was obtained by adding facilitator oligonucleotides to ribozymes with shorter stems of (6+6) and (5+5) nt. Stimulation was particularly strong in the case of the (5+5) ribozyme, which was poorly active by itself. The enhancement caused by different facilitator oligonucleotides paralleled their expected ability to hybridize to RNA as a function of length and chemical modification.     

The detection of hamster connexins: a comparison of expression profiles with wild-type mouse and the cancer-prone Min mouse

The open reading frames of 17 connexins from Syrian hamster (using tissues) and 16 connexins from the Chinese hamster cell line V79, were fully (Cx30, Cx31, Cx37, Cx43 and Cx45) or partially sequenced. We have also detected, and partially sequenced, seven rat connexins that previously were unavailable. The expression of connexin genes was examined in some hamster organs and cultured hamster cells, and compared with wild-type mouse and the cancer-prone Min mouse. Although the expression patterns were similar for most organs and connexins in hamster and mouse, there were also some prominent differences (Cx29 and 30.3 in testis; Cx31.1 and 32 in eye; Cx46 in brain, kidney and testis; Cx47 in kidney). This suggests that some connexins have species-specific expression profiles. In contrast, there were minimal differences in expression profiles between wild type and Min mice. Species-specific expression profiles should be considered in attempts to make animal models of human connexin-associated diseases.     

Effects of mRNA amplification on gene expression ratios in cDNA experiments estimated by analysis of variance

Background  

A limiting factor of cDNA microarray technology is the need for a substantial amount of RNA per labeling reaction. Thus, 20–200 micro-grams total RNA or 0.5–2 micro-grams poly (A) RNA is typically required for monitoring gene expression. In addition, gene expression profiles from large, heterogeneous cell populations provide complex patterns from which biological data for the target cells may be difficult to extract. In this study, we chose to investigate a widely used mRNA amplification protocol that allows gene expression studies to be performed on samples with limited starting material. We present a quantitative study of the variation and noise present in our data set obtained from experiments with either amplified or non-amplified material.     

Peeling the yeast protein network

A set of highly connected proteins (or hubs) plays an important role for the integrity of the protein interaction network of Saccharomyces cerevisae by connecting the network's intrinsic modules. The importance of the hubs' central placement is further confirmed by their propensity to be lethal. However, although highly emphasized, little is known about the topological coherence among the hubs. Applying a core decomposition method which allows us to identify the inherent layer structure of the protein interaction network, we find that the probability of nodes both being essential and evolutionary conserved successively increases toward the innermost cores. While connectivity alone is often not a sufficient criterion to assess a protein's functional, evolutionary and topological relevance, we classify nodes as globally and locally central depending on their appearance in the inner or outer cores. The observation that globally central proteins participate in a substantial number of protein complexes which display an elevated degree of evolutionary conservation allows us to hypothesize that globally central proteins serve as the evolutionary backbone of the proteome. Even though protein interaction data are extensively flawed, we find that our results are very robust against inaccurately determined protein interactions.     

Targeted lipidomics: fatty acid amides and pain modulation

Mass spectrometric approaches to the identification and quantification of lipid signalling molecules are reviewed. Fatty acid amides are an important new class of lipid signalling molecules which include oleamide, the endocannabinoid anandamide, the endovanilloid/endocannabinoid N-arachidonoyldopamine (NADA) and the endovanilloid N-oleoyldopamine (OLDA) among many others. This diverse group of endogenous compounds comprises combinations of acyl backbones coupled by an amide bond to any of a variety of different small polar molecules such as ethanolamine, various amino acids, and catecholamines. Many fatty acid amides appear to play a role in pain and inflammation. Targeted lipidomics of fatty acid amides aims to identify new members of this diverse class of compounds, of which only a few representative molecules have been characterized to date. This effort has been made feasible by advances in chromatography and mass spectrometry, which permits: (1) identification of compounds present in complex mixtures, (2) astronomical increases in sensitivity due to miniaturization of HPLC components, and (3) novel scanning modes that permit the identification of compounds exhibiting similar structural components. Insofar as lipid signalling molecules such as prostanoids, leukotrienes and endocannabinoids operate via G-protein coupled receptors (GPCR), it appears likely that many of the numerous lipids awaiting identification may serve as ligands for any of the greater than 150 orphan GPCRs.     

MArray: analysing single,replicated or reversed microarray experiments

MArray is a Matlab toolbox with a graphical user interface that allows the user to analyse single or paired microarray datasets by direct input of the raw data output file from image analysis packages, such as QuantArray or GenePiX. The application provides simple procedures to manually evaluate the quality of each measurement, multiple approaches to both ratio normalization (simple normalization, intensity dependent normalization) and evaluation of the reproducibility of paired experiments (using the techniques 'simple statistical method' and 'quality control ellipse' and 'significance analysis of microarrays'). Specifically, interactive spot evaluation functions are available in MArray and an online gene information database (NCBI UniGene) is linked. The application may provide a valuable aid in selecting and optimizing experimental procedures, as well as serving as an analytical tool for two-state biological comparisons, such as a study of single-dose activation. It is entirely platform independent, and only requires Matlab installed. AVAILABILITY: http://matrise.uio.no/marray/marray.html