Biology subjects

Fell, J. S.

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

4 recordsLinked to original sources

bioRxiv2021

Furanoditerpenoid biosynthesis in the bioenergy crop switchgrass is catalyzed by an alternate metabolic pathway

Specialized diterpenoid metabolites are important mediators of stress resilience in monocot crops. A deeper understanding of how species-specific diterpenoid-metabolic pathways and functions contribute to plant chemical defenses can enable crop improvement strategies. Here, we report the genomics-enabled discovery of five cytochrome P450 monooxygenases (CYP71Z25-29) that form previously unknown furanoditerpenoids in the monocot bioenergy crop switchgrass (Panicum virgatum). Combinatorial pathway reconstruction showed that CYP71Z25-29 catalyze furan ring addition to diterpene alcohol intermediates derived from distinct class II diterpene synthases, thus bypassing the canonical role of class I diterpene synthases in plant diterpenoid metabolism. Transcriptional co-expression patterns and presence of select diterpenoids in droughted switchgrass roots support possible roles of CYP71Z25-29 in abiotic stress responses. Integrating molecular dynamics, structural analysis, and targeted mutagenesis, identified active site determinants controlling distinct CYP71Z25-29 catalytic specificities and, combined with broad substrate promiscuity for native and non-native diterpenoids, highlights the potential of these P450s for natural product engineering. Significance StatementDiterpenoids play important roles in stress resilience and chemically mediated interactions in many plant species, including major food and bioenergy crops. Enzymes of the cytochrome P450 monooxygenase family catalyze the various functional decorations of core diterpene scaffolds that determine the large diversity of biologically active diterpenoids. This study describes the identification and mechanistic analysis of an unusual group of cytochrome P450 monooxygenases, CYP71Z25-29, from the bioenergy crop switchgrass (Panicum virgatum). These enzymes catalyze the furan ring addition directly to class II diterpene synthase products, thus bypassing the conserved pairwise reaction of class II and class I diterpene synthases in labdane diterpenoid metabolism. Insight into the distinct substrate-specificity of CYP71Z25-29 offers opportunity for engineering of furanoditerpenoid bioproducts.

plant biology↗

bioRxiv2020

Techno-economic assessment of animal cell-based meat

Interest in animal cell-based meat (ACBM) or laboratory grown meat has been increasing, however the economic viability of these potential products has not been thoroughly vetted. Recent studies suggest monoclonal antibody production technology can be adapted for the industrialization of ACBM production. This study provides a scenario-based assessment of the projected cost per kilogram of ACBM based on cellular metabolic requirements and process/chemical engineering conventions. A sensitivity analysis of the model identified the nine most influential cost factors for ACBM production out of 67 initial parameters. The results indicate that technological performance will need to approach technical limits for ACBM to achieve profitably as a commodity. However, the model also suggests that low-volume high-value specialty products could be viable based on current technology. One Sentence SummaryA model based upon cellular metabolism and engineering conventions was created to examine the economic viability of animal cell-based meat. Significance statementAnimal cell-based meat (ACBM) has received a significant amount of media attention (as well as corporate investment) in recent years based on its perceived potential to displace traditional meat production, whether beef, poultry, or fish. However, a robust techno-economic assessment (TEA) of these potential products is not publicly available. Our study examined the capital and operating expenditures for potential ACBM products based upon fundamental cellular attributes, the use of proposed near-term/existing technology, and process engineering conventions. Our findings suggest that the current production pathways are far from producing cost-competitive ACBM products, as well as highlight the technical metrics that must be achieved for an ACBM product to become economically viable.

bioengineering↗

bioRxiv2020

Computationally Guided Design of BCR-ABL Tyrosine Kinase Inhibitors

BCR-ABL tyrosine kinase inhibitors (TKI) are used to treat the chronic myeloid leukemia (CML). Many TKI have been developed as the primary treatment to the CML. Imatinib, a first generation TKI, directly targets BCR-ABL with effective results. As the disease becomes more advanced, patients start to develop resistance to imatinib. Due to this effect it is necessary to generate novel treatments for advanced stage CML. Computational tools can predict new drug candidates to target BCR-ABL. We have designed two new drug candidates with different levels of modification, based on the predicted structure activity relationships with BCR-ABL. These new drug candidates are predicted to have better binding affinities with BCR-ABL than imatinib, which can be more potent treatments of the disease.

pharmacology and toxicology↗

bioRxiv2019

Design to Data for mutants of β-glucosidase B from Paenibacillus polymyxa: Q22T, W123R, F155G, Y169M, W438D, V401A

A key goal of protein engineering is to accurately model the stability and catalytic activity of enzymes. However, the limitations of functional predictive abilities pose a major challenge for modeling algorithm design, and can be attributed to the lack of large data sets quantifying the functional properties of enzymes. Here, the thermal stability (TM) and Michaelis-Menten constants (kcat, KM, and kcat/KM) of six new variants of the {beta}-glucosidase B (BglB) protein are quantitatively characterized. Molecular stability of the enzyme variants were hypothesized using the Foldit software and BglB was synthesized in E. coli cells. Testing was done through a colorimetric kinetic assay and thermal stability fluorescence-based protein unfolding assay. Results from the assays suggest that all mutations, with the exception of variant Y169M, all experienced reduced catalytic efficiency compared to the wildtype. Assay results indicate that variant W123R is more thermally stable compared to the wildtype, while the differences in thermal stability between the other variants, and the wildtype are negligible. The collected thermal stability and catalytic efficiency data has been added to a data set with the aim of improving Rosetta algorithms for modeling and predicting the functional interactions between biomolecules through a machine learning algorithm and facilitate the precise engineering of protein catalysts.

biochemistry↗