Rescue of Synthetic Genomic RNA Analogs of Rabies Virus by Plasmid-Encoded Proteins

Proteins eolirely expressed from cDNA wen used to rescue synthetic RNA genome analogs into infectious defective particles or rabies virus (RV). Synthetic negative-stranded RNAs coßtalning 3' · and S'-terminal RV sequences and tnlßscriptional signal sequences wen transcribed (rom plasmids transfeded into cells expressing 1'7 RNA polymerase (rom recombinant vaccinia virus. After simultaneous expression or RV N, P, and L proteiDS (rom plasmids containing a T7 RNA polymerase promoter, tbe synthetic genomes wen encapsidated. replicated, and transcribed by tbe RV polymerase proteiDS. Insertion or the bac1erial chloramphenicol acetyUransferase gene or l3·galactosidase (IacZ) gene between the 3 ' and 5 ' termini containing transcriptional signal sequenees resulted in transcription of mRNAs and expression of ehloramphenlco

Document Review: Journal Articles, Performance Evaluations, and Organizational Citizenship Terminology

The purpose of conducting the document analysis was to visually compare various performance review documents with topical literature noting the exclusion of language that identifies and measures organizational citizenship behaviors among employees in formal performance evaluation processes. A document analysis consisted of reviewing 56 publicly accessible, recent, and random performance review documents and 30 peerreviewed journal articles identifying terms related to organizational citizenship behaviors

Model simplification of signal transduction pathway networks via a hybrid inference strategy

A full-scale mathematical model of cellular networks normally involves a large number of variables and parameters. How to effectively develop manageable and reliable models is crucial for effective computation, analysis and design of such systems. The aim of model simplification is to eliminate parts of a model that are unimportant for the properties of interest. In this work, a model reduction strategy via hybrid inference is proposed for signal pathway networks. It integrates multiple techniques including conservation analysis, local sensitivity analysis, principal component analysis and flux analysis to identify the reactions and variables that can be considered to be eliminated from the full-scale model. Using an I·B-NF-·B signalling pathway model as an example, simulation analysis demonstrates that the simplified model quantitatively predicts the dynamic behaviours of the network