Export is the default pathway for soluble unfolded polypeptides that accumulate during expression in Escherichia coli

Soluble FMDV VP1 proteins fused with calreticulin expressed in Escherichia coli under the assist of trigger factor16 (Tf16) formed into high immunogenic polymers

Foot and mouth disease virus (FMDV) is a highly contagious pathogen propagating among cloven-hoofed animals. As a major immunogenic protein, VP1 plays a pivotal role in the induction of neutralizing antibodies, which therefore is an ideal target for developing subunit vaccines. In current study, four prokaryotic expression clones (rV4C, rC4V, rV5F and rF5V) were constructed by fusing truncated calreticulin (CRT) (120-250 aa or 120-308 aa) at the N/C terminal of vp1 gene, and co-expressed with chaperone trigger factor 16 (Tf16) in E.coli, respectively. The soluble recombinant CRT-fused VP1 proteins could form into homogeneous reactive polymers with average hydrodynamic diameters around 100 nm according to the dynamic light scattering (DLS) data. Immunization of guinea pigs with 10 μg purified CRT-fused VP1 proteins induced high levels of antibodies against naked-VP1 through indirect ELISA. Sandwich ELISA showed that only rC4V could elicit the same level of antibody against FMD virus as commercial inactivated vaccine after booster. The lymphocyte cytokines secretion of immunized rC4V was higher than the other CRT-fused VP1 proteins in guinea pigs. These results showed that the soluble CRT-fused VP1 proteins, especially rC4V, expressed with Tf16 in E. coli might have potential to be used as subunit vaccine candidate against FMDV.

Evolutionary tradeoffs between economy and effectiveness in biological homeostasis systems

Biological regulatory systems face a fundamental tradeoff: they must be effective but at the same time also economical. For example, regulatory systems that are designed to repair damage must be effective in reducing damage, but economical in not making too many repair proteins because making excessive proteins carries a fitness cost to the cell, called protein burden. In order to see how biological systems compromise between the two tasks of effectiveness and economy, we applied an approach from economics and engineering called Pareto optimality. This approach allows calculating the best-compromise systems that optimally combine the two tasks. We used a simple and general model for regulation, known as integral feedback, and showed that best-compromise systems have particular combinations of biochemical parameters that control the response rate and basal level. We find that the optimal systems fall on a curve in parameter space. Due to this feature, even if one is able to measure only a small fraction of the system's parameters, one can infer the rest. We applied this approach to estimate parameters in three biological systems: response to heat shock and response to DNA damage in bacteria, and calcium homeostasis in mammals.

Many systems in the cell work to keep homeostasis, or balance. For example, damage repair systems make special repair proteins to resolve damage. These systems typically have many biochemical parameters such as biochemical rate constants, and it is not clear how much of the huge parameter space is filled by actual biological systems. We examined how natural selection acts on these systems when there are two important tasks: effectiveness – rapidly repairing damage, and economy – avoiding excessive production of repair proteins. We find that this multi-task optimization situation leads to natural selection of circuits that lie on a curve in parameter space. Thus, most of parameter space is empty. Estimating only a few parameters of the circuit is enough to predict the rest. This approach allowed us to estimate parameters for bacterial heat shock and DNA repair systems, and for a mammalian hormone system responsible for calcium homeostasis.