Characteristics of service requests and service processes of fire and rescue service dispatch centers: analysis of real world data and the underlying probability distributions.

A sufficient staffing level in fire and rescue dispatch centers is crucial for saving lives. Therefore, it is important to estimate the expected workload properly. For this purpose, we analyzed whether a dispatch center can be considered as a call center. Current call center publications very often model call arrivals as a non-homogeneous Poisson process. This bases on the underlying assumption of the caller's independent decision to call or not to call. In case of an emergency, however, there are often calls from more than one person reporting the same incident and thus, these calls are not independent. Therefore, this paper focuses on the dependency of calls in a fire and rescue dispatch center. We analyzed and evaluated several distributions in this setting. Results are illustrated using real-world data collected from a typical German dispatch center in Cottbus ("Leitstelle Lausitz"). We identified the Pólya distribution as being superior to the Poisson distribution in describing the call arrival rate and the Weibull distribution to be more suitable than the exponential distribution for interarrival times and service times. However, the commonly used distributions offer acceptable approximations. This is important for estimating a sufficient staffing level in practice using, e.g., the Erlang-C model.

Analysis of putative miRNA binding sites and mRNA 3' ends as targets for siRNA-mediated gene knockdown.

Tremendous efforts have been made to develop short-interfering RNA (siRNA) design algorithms that generate highly functional siRNAs for gene knockdown. Nevertheless, "difficult-to-silence" target messenger RNAs (mRNAs) still exist for which no functionally validated siRNAs are available. MicroRNA (miRNA) sites in the mRNA 3'UTR, which interact with miRNA-loaded RNA-induced silencing complex (miRISC) for posttranscriptional gene regulation, provide alternative potentially accessible sites for siRNA. To investigate this, we designed siRNAs directed against single putative miRNA sites (misiRNAs) as predicted by miRNA target databases as well as siRNAs against other regions within the 3'UTR of "difficult-to-silence" targets in this proof-of-principle study. Although their design was not fully optimized, the misiRNAs generally caused higher knockdown than previously designed siRNAs for these targets. In general, knockdown by misiRNAs targeting the miRNA seed region was specific for the target mRNA, and misiRNAs targeting 1 nt upstream of miRNA seed region were similarly potent. We also systematically screened the 3'UTR of two mRNA targets using siRNA-tiling experiments. 5' and 3' regions of the p21-activated kinase 6 (PAK6) 3'UTR were found accessible, whereas the middle portion was largely inaccessible for siRNA knockdown. In ribosomal protein S6 kinase (RPS6KB1) 3'UTR, however, only the 5' region was accessible for siRNA knockdown. Detailed analysis of 10 further "difficult-to-silence" targets revealed that siRNA accessibility at the mRNA 3' end is not a general phenomenon, at least in "difficult-to-silence" targets, as we could not detect significant knockdown by siRNAs directed against this region.

Targeting gene delivery to activated vascular endothelium using anti E/P-Selectin antibody linked to PAMAM dendrimers.

INTRODUCTION: The adhesion molecules P- and E-selectin are expressed on activated endothelial cells, and are good targets for gene therapy aimed at inflammatory disease. We have therefore investigated the potential of targeting PAMAM dendrimers, a non viral vector system, to cells expressing P/E-selectin using a monoclonal antibody that recognises these molecules. MATERIALS AND METHODS: We used biotin and avidin to cross-link anti E/P-Selectin monoclonal antibody to pre-formed Superfect-DNA complexes that were then used to transfect reporter genes to CHO cells expressing E-Selectin, cytokine-activated primary Human Saphenous Vein Endothelial Cells (HSVEC) and whole vein segments. RESULTS: The use of the anti E/P-Selectin antibody increased the transfection efficiency in CHO-E cells, activated HSVEC and saphenous vein segments ex vivo. We also showed that the antibody improved the binding of the complexes onto cells as well as the internalisation kinetics. DISCUSSION: We demonstrate here that by attaching antibodies onto PAMAM dendrimers the efficiency of transfection can be significantly improved in cells or tissues expressing the receptor. This technology has potential in the treatment of cardiovascular disease by gene therapy but can also be used with different antibodies to target other diseased cells or tissues.

A probability-based approach for the analysis of large-scale RNAi screens.

We describe a statistical analysis methodology designed to minimize the impact of off-target activities upon large-scale RNA interference (RNAi) screens in mammalian cells. Application of this approach enhances reconfirmation rates and facilitates the experimental validation of new gene activities through the probability-based identification of multiple distinct and active small interfering RNAs (siRNAs) targeting the same gene. We further extend this approach to establish that the optimal redundancy for efficacious RNAi collections is between 4-6 siRNAs per gene.

Insights into effective RNAi gained from large-scale siRNA validation screening.

Transfection of chemically synthesized short interfering RNAs (siRNAs) enables a high level of sequence-specific gene silencing. Although siRNA design algorithms have been improved in recent years, it is still necessary to prove the functionality of a given siRNA experimentally. We have functionally tested several thousand siRNAs for target genes from various gene families including kinases, phosphatases, and cancer-related genes (e.g., genes involved in apoptosis and the cell cycle). Some targets were difficult to silence above a threshold of 70% knockdown. By working with one design algorithm and a standardized validation procedure, we discovered that the level of silencing achieved was not exclusively dependent on the siRNA sequences. Here we present data showing that neither the gene expression level nor the cellular environment has a direct impact on the knockdown which can be achieved for a given target. Modifications of the experimental setting have been investigated with the aim of improving knockdown efficiencies for siRNA-target combinations that show only moderate knockdown. Use of higher siRNA concentrations did not change the overall performance of the siRNA-target combinations analyzed. Optimal knockdown at the mRNA level was usually reached 48-72 hours after transfection. Target gene-specific characteristics such as the accessibility of the corresponding target sequences to the RNAi machinery appear to have a significant influence on the knockdown observed, making certain targets easy or difficult to knock down using siRNA.