bioRxiv Science⌕ Search

Biology subjects

Miller, S. J.

Publications and source records attributed to Miller, S. J..

3 recordsLinked to original sources

Addition of adjuvant to DTaP modulates vaccine-induced immunological responses but is insufficient to improve protection in CD-1 mice

3.1Pertussis is a vaccine-preventable respiratory disease caused by the Gram-negative bacterium Bordetella pertussis. While vaccination rates remain high in developed countries, incidence of pertussis has increased following the transition from wP vaccines to aP vaccines. The reemergence of pertussis is attributed, in part, to waning immunity induced by aP vaccination. Therefore, the objective of this work was to determine if addition of adjuvant to DTaP can modulate the immune response and improve protection compared to DTaP alone. In this study we immunized outbred, female CD-1 mice with 1/320th the human dose of vehicle control, DTaP, and DTaP supplemented with adjuvant. Markers of early vaccine-induced memory were measured using a chemokine assay or by flow cytometry. Protection was assessed by measuring serological responses and quantifying bacterial burden in the respiratory tract at day 3 post-challenge. From this work we identified a partially protective aP vaccine dose to use for vaccination and challenge studies. We observed that MPLA and SWE promote robust anti-B. pertussis antibody responses and stimulate significant increases in early markers of vaccine-induced memory such as CXCL13, FDCs, and TFH cells. Quil-A induced Th1 responses compared to DTaP alone, but none of the adjuvants improved protection against challenge with B. pertussis. Overall, the data suggests that addition of adjuvant modulates the protective immune responses induced by aPs. Further studies are needed to evaluate the B cell compartment and longevity of protection.

immunology↗

Atomistic simulations of the E. coli ribosome provide selection criteria for translationally active substrates

As genetic code expansion advances beyond L--amino acids to backbone modifications and new polymerization chemistries, the field faces an increasingly broad challenge to discover what the ribosome can accommodate. Although the E. coli ribosome tolerates non-L--amino acids in vitro, few structural insights are available, and the boundary conditions for efficient bond formation are unknown. We describe a 2.1 [A] cryo-EM structure of the E. coli ribosome containing well-resolved -amino acid monomers coupled with a computational approach for which energy surface minima produced by metadynamics trend in agreement with established incorporation efficiencies. Reactive monomers across diverse structural classes favor a conformational space characterized by an A-site nucleophile to P-site carbonyl distance of < 4 [A] and a Burgi-Dunitz angle of 90-110{degrees}. Monomers whose free energy minima fall outside these regions do not react. Application of this model should accelerate the in vivo and in vitro ribosomal synthesis and application of sequence-defined, non-peptide heterooligomers.

synthetic biology↗

Temperature variability alters the stability and thresholds for collapse of interacting species

Temperature variability and extremes can have profound impacts on populations and ecological communities. Predicting impacts of thermal variability poses a challenge because it has both direct physiological effects and indirect effects through species interactions. In addition, differences in thermal performance between predators and prey and non-linear averaging of temperature-dependent performance can result in complex and counterintuitive population dynamics in response to climate change. Yet the combined consequences of these effects remain underexplored. Here, modeling temperature-dependent predator-prey dynamics, we study how changes in temperature variability affect population size, collapse, and stable coexistence of both predator and prey, relative to under constant environments or warming alone. We find that the effects of temperature variation on interacting species can lead to a diversity of outcomes, from predator collapse to stable coexistence, depending on interaction strengths and differences in species thermal performance. Temperature variability also alters predictions about population collapse - in some cases allowing predators to persist for longer than predicted when considering warming alone, and in others accelerating collapse. To inform management responses that are robust to future climates with increasing temperature variability and extremes, we need to incorporate the consequences of temperature variation in complex ecosystems.

ecology↗