Viral Infectivity Quantification and Neutralization Assays Using Laser Force Cytology.

Despite the widespread need to assess cell-based viral infectivity during vaccine development and production, as well as viral clearance monitoring and adventitious agent testing for viral safety, traditional methods, including the end-point dilution assay (TCID50) and viral plaque assay, are slow, labor-intensive, and can vary depending upon the skill and experience of the user. LumaCyte's Radiance® instrument uses Laser Force CytologyTM (LFC), a combination of advanced optics and microfluidics, to rapidly analyze the viral infectivity of cell populations in a quantitative fashion. LFC applies optical and fluidic forces to single cells in order to measure their intrinsic biophysical and biochemical properties without the use of stains, antibodies or fluorescent labels. These properties, including refractive index, change with a wide variety of biological phenomena, including viral infection, cell differentiation, activation, size, and cytoskeletal stiffness. Here, we present the experimental design and methods to use LFC data to facilitate rapid and robust infectivity measurements for a variety of applications including initial titer measurement (TCID50 replacement), in-process infectivity (e.g., bioreactor monitoring), and viral neutralization (PRNT replacement).

Rapid quantification of vesicular stomatitis virus in Vero cells using Laser Force Cytology.

The ability to rapidly and accurately determine viral infectivity can help improve the speed of vaccine product development and manufacturing. Current methods to determine infectious viral titers, such as the end-point dilution (50% tissue culture infective dose, TCID50) and plaque assays are slow, labor intensive, and often subjective. In order to accelerate virus quantification, Laser Force Cytology (LFC) was used to monitor vesicular stomatitis virus (VSV) infection in Vero (African green monkey kidney) cells. LFC uses a combination of optical and fluidic forces to interrogate single cells without the use of labels or antibodies. Using a combination of variables measured by the Radiance™ LFC instrument (LumaCyte), an infection metric was developed that correlates well with the viral titer as measured by TCID50 and shortens the timeframe from infection to titer determination from 3 days to 16 h (a 4.5 fold reduction). A correlation was also developed between in-process cellular measurements and the viral titer of collected supernatant, demonstrating the potential for real-time infectivity measurements. Overall, these results demonstrate the utility of LFC as a tool for rapid infectivity measurements throughout the vaccine development process.

CHO-Omics Review: The Impact of Current and Emerging Technologies on Chinese Hamster Ovary Based Bioproduction.

CHO cells are the most prevalent platform for modern bio-therapeutic production. Currently, there are several CHO cell lines used in bioproduction with distinct characteristics and unique genotypes and phenotypes. These differences limit advances in productivity and quality that can be achieved by the most common approaches to bioprocess optimization and cell line engineering. Incorporating omics-based approaches into current bioproduction processes will complement traditional methodologies to maximize gains from CHO engineering and bioprocess improvements. In order to highlight the utility of omics technologies in CHO bioproduction, the authors discuss current applications as well as limitations of genomics, transcriptomics, proteomics, metabolomics, lipidomics, fluxomics, glycomics, and multi-omics approaches and the potential they hold for the future of bioproduction. Multiple omics approaches are currently being used to improve CHO bioprocesses; however, the application of these technologies is still limited. As more CHO-omic datasets become available and integrated into systems models, the authors expect significant gains in product yield and quality. While individual omics technologies provide incremental improvements in bioproduction, the authors will likely see the most significant gains by applying multi-omics and systems biology approaches to individual CHO cell lines.

Construction and Analysis of Two Genome-Scale Deletion Libraries for Bacillus subtilis.

A systems-level understanding of Gram-positive bacteria is important from both an environmental and health perspective and is most easily obtained when high-quality, validated genomic resources are available. To this end, we constructed two ordered, barcoded, erythromycin-resistance- and kanamycin-resistance-marked single-gene deletion libraries of the Gram-positive model organism, Bacillus subtilis. The libraries comprise 3,968 and 3,970 genes, respectively, and overlap in all but four genes. Using these libraries, we update the set of essential genes known for this organism, provide a comprehensive compendium of B. subtilis auxotrophic genes, and identify genes required for utilizing specific carbon and nitrogen sources, as well as those required for growth at low temperature. We report the identification of enzymes catalyzing several missing steps in amino acid biosynthesis. Finally, we describe a suite of high-throughput phenotyping methodologies and apply them to provide a genome-wide analysis of competence and sporulation. Altogether, we provide versatile resources for studying gene function and pathway and network architecture in Gram-positive bacteria.

The Bacillus subtilis GntR family repressor YtrA responds to cell wall antibiotics.

The transglycosylation step of cell wall synthesis is a prime antibiotic target because it is essential and specific to bacteria. Two antibiotics, ramoplanin and moenomycin, target this step by binding to the substrate lipid II and the transglycosylase enzyme, respectively. Here, we compare the ramoplanin and moenomycin stimulons in the Gram-positive model organism Bacillus subtilis. Ramoplanin strongly induces the LiaRS two-component regulatory system, while moenomycin almost exclusively induces genes that are part of the regulon of the extracytoplasmic function (ECF) σ factor σ(M). Ramoplanin additionally induces the ytrABCDEF and ywoBCD operons, which are not part of a previously characterized antibiotic-responsive regulon. Cluster analysis reveals that these two operons are selectively induced by a subset of cell wall antibiotics that inhibit lipid II function or recycling. Repression of both operons requires YtrA, which recognizes an inverted repeat in front of its own operon and in front of ywoB. These results suggest that YtrA is an additional regulator of cell envelope stress responses.

Reduction in membrane phosphatidylglycerol content leads to daptomycin resistance in Bacillus subtilis.

Daptomycin (DAP) is a cyclic lipopeptide that disrupts the functional integrity of the cell membranes of Gram-positive bacteria in a Ca(2+)-dependent manner. Here we present genetic, genomic, and phenotypic analyses of an evolved DAP-resistant isolate, Dap(R)1, from the model bacterium Bacillus subtilis 168. Dap(R)1 was obtained by serial passages with increasing DAP concentrations, is 30-fold more resistant than the parent strain, and displays cross-resistance to vancomycin, moenomycin, and bacitracin. Dap(R)1 is characterized by aberrant septum placement, notably thickened peptidoglycan at the cell poles, and pleiotropic alterations at both the transcriptome and proteome levels. Genome sequencing of Dap(R)1 revealed 44 point mutations, 31 of which change protein sequences. An intermediate isolate that was 20-fold more resistant to DAP than the wild type had only three of these point mutations: mutations affecting the cell shape modulator gene mreB, the stringent response gene relA, and the phosphatidylglycerol synthase gene pgsA. Genetic reconstruction studies indicated that the pgsA(A64V) allele is primarily responsible for DAP resistance. Allelic replacement with wild-type pgsA restored DAP sensitivity to wild-type levels. The additional point mutations in the evolved strain may contribute further to DAP resistance, serve to compensate for the deleterious effects of altered membrane composition, or represent neutral changes. These results suggest a resistance mechanism by which reduced levels of phosphatidylglycerol decrease the net negative charge of the membrane, thereby weakening interaction with the positively charged Ca(2+)-DAP complex.

Genetic analysis of factors affecting susceptibility of Bacillus subtilis to daptomycin.

Daptomycin is the first of a new class of cyclic lipopeptide antibiotics used against multidrug-resistant, gram-positive pathogens. The proposed mechanism of action involves disruption of the functional integrity of the bacterial membrane in a Ca(2+)-dependent manner. We have used transcriptional profiling to demonstrate that treatment of Bacillus subtilis with daptomycin strongly induces the lia operon including the autoregulatory LiaRS two-component system (homologous to Staphylococcus aureus VraSR). The lia operon protects against daptomycin, and deletion of liaH, encoding a phage-shock protein A (PspA)-like protein, leads to threefold increased susceptibility. Since daptomycin interacts with the membrane, we tested mutants with altered membrane composition for effects on susceptibility. Deletion mutations of mprF (lacking lysyl-phosphatidylglycerol) or des (lipid desaturase) increased daptomycin susceptibility, whereas overexpression of MprF decreased susceptibility. Conversely, depletion of the cell for the anionic lipid phosphatidylglycerol led to increased resistance. Fluorescently labeled daptomycin localized to the septa and in a helical pattern around the cell envelope and was delocalized upon the depletion of phosphatidylglycerol. Together, these results indicate that the daptomycin-Ca(2+) complex interacts preferentially with regions enriched in anionic phospholipids and leads to membrane stresses that can be ameliorated by PspA family proteins.

In vitro mutagenesis of Bacillus subtilis by using a modified Tn7 transposon with an outward-facing inducible promoter.

A Tn7 donor plasmid, pTn7SX, was constructed for use with the model gram-positive bacterium Bacillus subtilis. This new mini-Tn7, mTn7SX, contains a spectinomycin resistance cassette and an outward-facing, xylose-inducible promoter, thereby allowing for the regulated expression of genes downstream of the transposon. We demonstrate that mTn7SX inserts are obtained at a high frequency and occur randomly throughout the B. subtilis genome. The utility of this system was demonstrated by the selection of mutants with increased resistance to the antibiotic fosfomycin or duramycin.

Regulatory overlap and functional redundancy among Bacillus subtilis extracytoplasmic function sigma factors.

Bacillus subtilis encodes seven extracytoplasmic function (ECF) sigma factors that regulate partially overlapping regulons related to cell envelope homeostasis and antibiotic resistance. Here, we investigated their physiological role by constructing a mutant set of single, double, triple, and quadruple ECF sigma factor deletions in the undomesticated B. subtilis strain NCIB3610. This mutant set was subsequently screened for defects in motility, multicellular differentiation, and sensitivity to more than 200 chemicals by using Phenotype MicroArrays. A quadruple mutant strain, harboring deletions of the sigV, sigY, sigZ, and ylaC gene, behaved indistinguishably from the wild-type strain, indicative of either regulatory redundancy or very specific functions of these four ECF sigma factors. In contrast, a triple mutant, inactivated for the sigM, sigW, and sigX genes (but none of the corresponding double mutants), showed a biphasic growth behavior and a complete loss of multicellular differentiation, as judged by both colony formation and the inability to form a pellicle. This triple mutant also displayed a greatly increased sensitivity to detergents and several cell wall antibiotics including beta-lactams, polymyxin B, and d-cycloserine. In several cases, these antibiotic-sensitive phenotypes are significantly enhanced in the triple mutant strain relative to strains lacking only one or two sigma factors.