PubMed Health⌕ Search

Biomedical subjects

Joe Fralick

Publications and source records attributed to Joe Fralick.

2 recordsLinked to original sources

A strand-specific model for chromosome segregation in bacteria.

Chromosome separation and segregation must be executed within a bacterial cell in which the membrane and cytoplasm are highly structured. Here, we develop a strand-specific model based on each of the future daughter chromosomes being associated with a different set of structures or hyperstructures in an asymmetric cell. The essence of the segregation mechanism is that the genes on the same strand in the parental cell that are expressed together in a hyperstructure continue to be expressed together and segregate together in the daughter cell. The model therefore requires an asymmetric distribution of classes of genes and of binding sites and other structures on the strands of the parental chromosome. We show that the model is consistent with the asymmetric distribution of highly expressed genes and of stress response genes in Escherichia coli and Bacillus subtilis. The model offers a framework for interpreting data from genomics.

Bacillus subtilis↗

Hyperstructures, genome analysis and I-cells.

New concepts may prove necessary to profit from the avalanche of sequence data on the genome, transcriptome, proteome and interactome and to relate this information to cell physiology. Here, we focus on the concept of large activity-based structures, or hyperstructures, in which a variety of types of molecules are brought together to perform a function. We review the evidence for the existence of hyperstructures responsible for the initiation of DNA replication, the sequestration of newly replicated origins of replication, cell division and for metabolism. The processes responsible for hyperstructure formation include changes in enzyme affinities due to metabolite-induction, lipid-protein affinities, elevated local concentrations of proteins and their binding sites on DNA and RNA, and transertion. Experimental techniques exist that can be used to study hyperstructures and we review some of the ones less familiar to biologists. Finally, we speculate on how a variety of in silico approaches involving cellular automata and multi-agent systems could be combined to develop new concepts in the form of an Integrated cell (I-cell) which would undergo selection for growth and survival in a world of artificial microbiology.

Algorithms↗