Microtubule release from the centrosome

Although microtubules (MTs) are generally thought to originate at the centrosome, a number of cell types have significant populations of MTs with no apparent centrosomal connection. The origin of these noncentrosomal MTs has been unclear. We applied kinetic analysis of MT formation in vivo to establish their mode of origin. Time-lapse fluorescence microscopy demonstrated that noncentrosomal MTs in cultured epithelial cells arise primarily by constitutive nucleation at, and release from, the centrosome. After release, MTs moved away from the centrosome and tended to depolymerize. Laser-marking experiments demonstrated that released MTs moved individually with their plus ends leading, suggesting that they were transported by minus end-directed motors. Released MTs were dynamic. The laser marking experiments demonstrated that plus ends of released MTs grew, paused, or shortened while the minus ends were stable or shortened. Microtubule release may serve two kinds of cellular function. Release and transport could generate the noncentrosomal MT arrays observed in epithelial cells, neurons, and other asymmetric, differentiated cells. Release would also contribute to polymer turnover by exposing MT minus ends, thereby providing additional sites for loss of subunits. The noncentrosomal population of MTs may reflect a steady-state of centrosomal nucleation, release, and dynamics.

The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities

The Escherichia coli MG1655 genome has been completely sequenced. The annotated sequence, biochemical information, and other information were used to reconstruct the E. coli metabolic map. The stoichiometric coefficients for each metabolic enzyme in the E. coli metabolic map were assembled to construct a genome-specific stoichiometric matrix. The E. coli stoichiometric matrix was used to define the system's characteristics and the capabilities of E. coli metabolism. The effects of gene deletions in the central metabolic pathways on the ability of the in silico metabolic network to support growth were assessed, and the in silico predictions were compared with experimental observations. It was shown that based on stoichiometric and capacity constraints the in silico analysis was able to qualitatively predict the growth potential of mutant strains in 86% of the cases examined. Herein, it is demonstrated that the synthesis of in silico metabolic genotypes based on genomic, biochemical, and strain-specific information is possible, and that systems analysis methods are available to analyze and interpret the metabolic phenotype.

Identification of functionally important helical faces in transmembrane segments by scanning mutagenesis.

We applied mutational analysis to a protein domain that functions in neither catalysis nor binding but, rather, in transmembrane signaling. The domain is part of chemoreceptor Trg from Escherichia coli. It contains four transmembrane segments, two from each subunit of the homodimer. We used cysteine scanning to investigate the functional importance of each of 54 residues in the two transmembrane segments. Cysteines at some positions resulted in subtle but significant reductions in tactic response. Those positions defined a specific helical face on each segment, implying that the segments function as helices. The functionally important faces corresponded to structural, helical packing faces identified independently by biochemical studies. All functionally impaired receptors exhibited altered signaling properties, either reduced signaling upon stimulation or induced signaling in the absence of stimulation. The distribution of substitutions creating these two phenotypes implied that conformational signaling involves movement between the two transmembrane helices within a subunit and that signaling is optimal when stable interactions are maintained across the interface between subunits.