Stringent regulation of human growth hormone expression in cultured murine C2C12 myoblasts by theE. coli lac repressor

Summary Gene transfer techniques can be used to encode the production of a polypeptide product, such as human growth hormone (hGH), that is missing in an acquired or inherited disease state such as growth hormone deficiency. In one model system, engineered C2C12 myoblasts are injected intramuscularly into a mouse and subsequently secrete hGH into the circulation. In this regard, a gene-expression regulatory system that functions in myoblasts would be of interest. We demonstrate that theEscherichia coli lac operon system can be used to stringently regulate the expression of hGH in engineered C2C12 myoblasts in tissue culture. A DNA segment encoding hGH was linked to a DNA segment containing an SV40 enhancer and promoter. The latter components were positioned between two syntheticlac operators.Lac repressor expression was driven by a simian cytomegalovirus promoter. In transient co-transfection assays, hGH expression from cultured C2C12 myoblasts could be modulated up to 60-fold (P = 0.002) with the inducing agent, isopropyl-β-d-thiogalactoside (IPTG). In the absence of IPTG, hGH expression was almost fully repressed. These results show that the components of theE. coli lac operon provide a stringent regulatory system for use in myoblasts. The system might prove to be useful for the regulation of transferred genes in animals.     

Automated Characterization and Parameter-Free Classification of Cell Tracks Based on Local Migration Behavior

Cell migration is the driving force behind the dynamics of many diverse biological processes. Even though microscopy experiments are routinely performed today by which populations of cells are visualized in space and time, valuable information contained in image data is often disregarded because statistical analyses are performed at the level of cell populations rather than at the single-cell level. Image-based systems biology is a modern approach that aims at quantitatively analyzing and modeling biological processes by developing novel strategies and tools for the interpretation of image data. In this study, we take first steps towards a fully automated characterization and parameter-free classification of cell track data that can be generally applied to tracked objects as obtained from image data. The requirements to achieve this aim include: (i) combination of different measures for single cell tracks, such as the confinement ratio and the asphericity of the track volume, and (ii) computation of these measures in a staggered fashion to retrieve local information from all possible combinations of track segments. We demonstrate for a population of synthetic cell tracks as well as for in vitro neutrophil tracks obtained from microscopy experiment that the information contained in the track data is fully exploited in this way and does not require any prior knowledge, which keeps the analysis unbiased and general. The identification of cells that show the same type of migration behavior within the population of all cells is achieved via agglomerative hierarchical clustering of cell tracks in the parameter space of the staggered measures. The recognition of characteristic patterns is highly desired to advance our knowledge about the dynamics of biological processes.     

Productive interaction between the chromosome partitioning proteins,ParA and ParB,is required for the progression of the cell cycle in Caulobacter crescentus

In Caulobacter crescentus the partitioning proteins ParA and ParB operate a molecular switch that couples chromosome partitioning to cytokinesis. Homologues of these proteins have been shown to be important for the stable inheritance of F-plasmids and the prophage form of bacteriophage P1. In C. crescentus, ParB binds to sequences adjacent to the origin of replication and is required for the initiation of cell division. Additionally, ParB influences the nucleotide-bound state of ParA by acting as a nucleotide exchange factor. Here we have performed a genetic analysis of the chromosome partitioning protein ParB. We show that C. crescentus ParB, like its plasmid homologues, is composed of three domains: a carboxyl-terminal dimerization domain; a central DNA-binding, helix-turn-helix domain; and an amino-terminal domain required for the interaction with ParA. In vivo expression of amino-terminally deleted parB alleles has a dominant lethal effect resulting in the inhibition of cell division. Fluorescent in situ hybridization experiments indicate that this phenotype is not caused by a chromosome partitioning defect, but by the reversal of the amounts of ATP- versus ADP- bound ParA inside the cell. We present evidence suggesting that amino-terminally truncated and full-length, wild-type ParB form heterodimers which fail to interact with ParA, thereby reversing the intracellular ParA-ATP to ParA-ADP ratio. We hypothesize that the amino-terminus of ParB is required to regulate the nucleotide exchange of ParA which, in turn, regulates the initiation of cell division.