Synchronization of goat fibroblast cells at quiescent stage and determination of their transition from G0 to G1 by detection of cyclin D1 mRNA

A number of studies have reported that donor cells consisting of serum starved cells, which are assumed to be at quiescence (G0), or non-starved confluent cells or mitotic cells obtained by shake-off, both of which are assumed to be at G1 phase, give better results in nuclear transfer (NT) than cells at other phases of the cell cycle. Whether G0 or G1 cells function better as donor cells is yet to be determined by detailed studies. The aims of this study were to analyze the cell cycle of goat transfected fibroblasts and determine the timing of transition from G0 to G1 by detecting G1-specific marker, cyclin D1 mRNA. Fluorescent-activated cell sorting (FACS) analyses of cells after 4 days of serum starvation showed that more that 90% of cells were in G0/G1. Additionally, detection of cyclin D1 mRNA by northern blot analysis showed that 4-day serum starved quiescent cells started entering G1 a few hours after addition of 10% serum to the medium. Taken together, the data indicated that serum starved transfected primary fibroblasts of adult goats experienced the G0 to G1 transition within 5 h of serum stimulation and were at the mid-G1 stage within 10 h of serum stimulation.     

Variable electrostatic interaction between DNA and coat protein in filamentous bacteriophage assembly

A restriction fragment carrying the major coat protein gene (gene VIII) was excised from the DNA of the class I filamentous bacteriophage fd, which infects Escherichia coli. This fragment was cloned into the expression plasmid pKK223-3, where it came under the control of the tac promoter, generating plasmid pKf8P. Bacteriophage fd gene VIII was similarly cloned into the plasmid pEMBL9+, enabling it to be subjected to site-directed mutagenesis. By this means the positively charged lysine residue at position 48, one of four positively charged residues near the C terminus of the protein, was turned into a negatively charged glutamic acid residue. The mutated fd gene VIII was cloned back from the pEMBL plasmid into the expression plasmid pKK223-3, creating plasmid pKE48. In the presence of the inducer isopropyl-beta-D-thiogalactoside, the wild-type and mutated coat protein genes were strongly expressed in E. coli TG1 cells transformed with plasmids pKf8P and pKE48, respectively, and the product procoat proteins underwent processing and insertion into the E. coli cell inner membrane. A net positive charge of only 2 on the side-chains in the C-terminal region is evidently sufficient for this initial stage of the virus assembly process. However, the mutated coat protein could not encapsidate the DNA of bacteriophage R252, an fd bacteriophage carrying an amber mutation in its own gene VIII, when tested on non-suppressor strains of E. coli. On the other hand, elongated hybrid bacteriophage particles could be generated whose capsids contained mixtures of wild-type (K48) and mutant (E48) subunits. This suggests that the defect in assembly may occur at the initiation rather than the elongation step(s) in virus assembly. Other mutations of lysine-48 that removed or reversed the positive charge at this position in the C-terminal region of the coat protein were also found to lead to the production of commensurately longer bacteriophage particles. Taken together, these results indicate direct electrostatic interaction between the DNA and the coat protein in the capsid and support a model of non-specific binding between DNA and coat protein subunits with a stoicheiometry that can be varied during assembly.     

Predicting direct protein interactions from affinity purification mass spectrometry data

Background  

Affinity purification followed by mass spectrometry identification (AP-MS) is an increasingly popular approach to observe protein-protein interactions (PPI) in vivo. One drawback of AP-MS, however, is that it is prone to detecting indirect interactions mixed with direct physical interactions. Therefore, the ability to distinguish direct interactions from indirect ones is of much interest.     

SplitsTree: analyzing and visualizing evolutionary data

MOTIVATION: Real evolutionary data often contain a number of different and sometimes conflicting phylogenetic signals, and thus do not always clearly support a unique tree. To address this problem, Bandelt and Dress (Adv. Math., 92, 47-05, 1992) developed the method of split decomposition. For ideal data, this method gives rise to a tree, whereas less ideal data are represented by a tree-like network that may indicate evidence for different and conflicting phylogenies. RESULTS: SplitsTree is an interactive program, for analyzing and visualizing evolutionary data, that implements this approach. It also supports a number of distances transformations, the computation of parsimony splits, spectral analysis and bootstrapping.