Oligonucleotide-conjugated beads for transdominant genetic experiments

High definition polyphosphoesters: between nucleic acids and plastics

Nucleic acids and synthetic polyphosphoester materials have been distinct fields – this review shows how these areas now comprise a continuum.

Selection-subtraction approach (SSA): a universal genetic screening technique that enables negative selection

Screening of expression libraries for bioactive clones that modulate the growth of mammalian cells has been limited largely to positive selections incapable of revealing growth suppressive or lethal genetic elements. We have developed a technique, selection-subtraction approach (SSA), that allows growth-modulating clones to be isolated based on alterations in their relative abundance in growing cell populations that have been transduced with an expression library. SSA utilizes tagged retroviral libraries in bacteriophage lambda vectors (retrophages). Nylon prints from retrophage libraries are used to determine the relative abundance of tags in library-transduced cells to identify biological activity of individual clones. Applications of SSA for gene discovery, target discovery, and generation of mutant proteins have been demonstrated, by using p53 and ataxia telangiectasia mutated (ATM) as models to isolate growth inhibitory proteins, peptides and antisense RNAs, and temperature-sensitive mutant proteins.

Expression levels of transdominant peptides and proteins in Saccharomyces cerevisiae

From libraries of peptides and protein fragments, several inhibitors that block pheromone response in Saccharomyces cerevisiae have been isolated previously. In many cases, the inhibitors are displayed as part of a scaffold, such as green fluorescent protein. Each of the inhibitors has a characteristic physiological strength or genetic penetrance. In this report, the roles of expression level and display scaffold on the activities of a subset of pheromone-response pathway inhibitors were examined. Special consideration was given to the relationship between expression levels of specific inhibitors, which may exceed 50 microM in some instances, and penetrance.

Flow cytometry: an 'old' tool for novel applications in medical genetics

Flow cytometry was originally established as an automated method for measuring optical or fluorescence characteristics of cells or particles in suspension. In the meantime, flow cytometers have become user-friendlier, less expensive instruments with an increasing importance in clinical diagnostics. Besides the classical fields of application, such as immunophenotyping blood cells or analyzing the cell cycle status by measuring the DNA content, novel flow cytometric methods have been developed to identify and to quantify disease-related gene sequences. Here we give an overview of current and future applications, including the detection of viral sequences via microsphere-based PCR assays and the analysis of single nucleotide polymorphisms, reflecting individual phenotypic traits. Furthermore, flow cytometry allows the quantification of gene expression changes as well as the isolation of differentially expressed gene sequences. Flow cytometry is also convenient for multiplex analyses, e.g. when hybridizing DNA samples to a mixture of various microsphere populations each coated with different DNA probes. Last but not least, the use of magnetic beads in combination with flow cytometers coupled with automated devices enables molecular diagnostics on a large scale. Overall, this review demonstrates flow cytometry as a rapid, sensitive, and reproducible tool applicable to a wide range of medical genetic approaches.

Gene expression analysis as an aid to the identification of drug targets

Many drug targets are components of complex signalling pathways, and in order to understand the true biological consequences of modulating these targets it is necessary to understand the biology of the system in great detail. Genomics research can contribute some of the tools to achieve this, for example through the use of cDNA microarrays. Since activation of signalling pathways leads to mRNA expression, microarray technology can be used to provide a detailed quantitative assessment of the consequences of this activation, often providing a completely new biological perspective on well established cellular systems. This review will discuss some of the results obtained using mRNA profiling of yeast and mammalian cells to analyse signalling pathways of relevance to inflammation and cancer, and will point towards the future applications of this exciting approach to drug target evaluation.