Baculoviruses are insect viruses extensively exploited as eukaryotic protein expression vectors. Molecular biology studies have provided exciting discoveries on virus–host interactions, but the application of omic high-throughput techniques on the baculovirus–insect cell system has been hampered by the lack of host genome sequencing. While a broader, systems-level analysis of biological responses to infection is urgently needed, recent advances on proteomic studies have yielded new insights on the impact of infection on the host cell. These works are reviewed and critically assessed in the light of current biological knowledge of the molecular biology of baculoviruses and insect cells.

This review discusses the fate of antimicrobial resistance and virulence genes frequently present among microbiomes. A central concept in epidemiology is the mean number of hosts colonized by one infected host in a population of susceptible hosts: R₀. It characterizes the disease’s epidemic potential because the pathogen continues its propagation through susceptible hosts if it is above one. R₀ is proportional to the average duration of infections, but non-pathogenic microorganisms do not cause host death, and hosts do not need to be rid of them. Therefore, commensal bacteria may colonize hosts for prolonged periods, including those harboring drug resistance or even a few virulence genes. Thus, their R₀ is likely to be (much) greater than one, with peculiar consequences for the spread of virulence and resistance genes. For example, computer models that simulate the spread of these genes have shown that their diversities should correlate positively throughout microbiomes. Bioinformatics analysis with real data corroborates this expectation. Those simulations also anticipate that, contrary to the common wisdom, human’s microbiomes with a higher diversity of both gene types are the ones that took antibiotics longer ago rather than recently. Here, we discuss the mechanisms and robustness behind these predictions and other public health consequences.

Metabolic heterogeneity between individual cells of a population harbors significant challenges for fundamental and applied research. Identifying metabolic heterogeneity and investigating its emergence require tools to zoom into metabolism of individual cells. While methods exist to measure metabolite levels in single cells, we lack capability to measure metabolic flux, i.e., the ultimate functional output of metabolic activity, on the single‐cell level. Here, combining promoter engineering, computational protein design, biochemical methods, proteomics, and metabolomics, we developed a biosensor to measure glycolytic flux in single yeast cells. Therefore, drawing on the robust cell‐intrinsic correlation between glycolytic flux and levels of fructose‐1,6‐bisphosphate (FBP), we transplanted the B. subtilis FBP‐binding transcription factor CggR into yeast. With the developed biosensor, we robustly identified cell subpopulations with different FBP levels in mixed cultures, when subjected to flow cytometry and microscopy. Employing microfluidics, we were also able to assess the temporal FBP/glycolytic flux dynamics during the cell cycle. We anticipate that our biosensor will become a valuable tool to identify and study metabolic heterogeneity in cell populations.

The recent approval of vaccines and gene therapy products for human use produced in the Insect Cell-Baculovirus Expression Vector System (IC-BEVS) underlines the high potential and versatility of this platform. The interest in developing robust production processes emerges to cope with manufacturing pressure, as well as stringent product quality guidelines. Previously, we addressed the impact of the baculovirus infection on the physiology of insect host cell lines, identifying key cellular pathways enrolled in heterologous gene/protein expression. In the present work, this knowledge was applied to design tailored media supplementation schemes to boost IC-BEVS production yields and quality of enveloped viral particles: influenza VLPs (Inf-VLP) and baculovirus vectors (BV). The addition of reduced glutathione, antioxidants and polyamines increased the cell specific yields of baculovirus particles up to 3 fold. Cholesterol was identified as the most critical system booster, capable of improving 2.5 and 6-fold cell specific yields of BV and Inf-VLPs, respectively. Surprisingly, the combination of polyamines and cholesterol supplementation improved baculovirus stock quality, by preventing the accumulation of non-infectious particles during viral replication while selectively increasing infectious particles production. In addition, the specific yields of both enveloped viral particles, BVs and Inf-VLPs, were also increased. The correlation between supplement addition and systems productivity was extensively analyzed, providing a critical assessment on final product quantity and quality as drivers of bioprocess optimization efforts.

Virus-like particles (VLPs) constitute a promising platform in vaccine development and targeted drug delivery. To date, most applications use simple nonenveloped VLPs as human papillomavirus or hepatitis B vaccines, even though the envelope is known to be critical to retain the native protein folding and biological function. Here, we present tagged enveloped VLPs (TagE-VLPs) as a valuable strategy for the downstream processing and monitoring of the in vivo production of specific-site-functionalized enveloped influenza VLPs. This two-step procedure allows bioorthogonal functionalization of azide-tagged nascent influenza type A hemagglutinin proteins in the envelope of VLPs through a strain-promoted [3 + 2] alkyne–azide cycloaddition reaction. Importantly, labeling does not influence VLP production and allows for construction of functionalized VLPs without deleterious effects on their biological function. Refined discrimination and separation between VLP and baculovirus, the major impurity of the process, is achieved when this technique is combined with flow cytometry analysis, as demonstrated by atomic force microscopy. TagE-VLPs is a versatile tool broadly applicable to the production, monitoring, and purification of functionalized enveloped VLPs for vaccine design trial runs, targeted drug delivery, and molecular imaging.