Publications by authors named "Devon J Boland"

The colonial green microalga Botryococcus braunii is well known for producing liquid hydrocarbons that can be utilized as biofuel feedstocks. B. braunii is taxonomically classified as a single species made up of three chemical races, A, B, and L, that are mainly distinguished by the hydrocarbons produced.

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The development of high molecular weight (HMW) genomic DNA (gDNA) extraction protocols for non-model species is essential to fully exploit long-read sequencing technologies in order to generate genome assemblies that can help answer complex questions about these organisms. Obtaining enough high-quality HMW gDNA can be challenging for these species, especially for tissues rich in polysaccharides such as biomass from species within the Botryococcus genus. The existing protocols based on column-based DNA extraction and biochemical lysis kits can be inefficient and may not be useful due to variations in biomass polysaccharide content.

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AlphaFold2 is an Artificial Intelligence-based program developed to predict the 3D structure of proteins given only their amino acid sequence at atomic resolution. Due to the accuracy and efficiency at which AlphaFold2 can generate 3D structure predictions and its widespread adoption into various aspects of biochemical research, the technique of protein structure prediction should be considered for incorporation into the undergraduate biochemistry curriculum. A module for introducing AlphaFold2 into a senior-level biochemistry laboratory classroom was developed.

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Epidemiological studies have shown that circadian rhythm disruption (CRD) is associated with the risk of breast cancer. However, the role of CRD in mammary gland morphology and aggressive basal mammary tumorigenesis and the molecular mechanisms underlying CRD and cancer risk remain unknown. To investigate the effect of CRD on aggressive tumorigenesis, a genetically engineered mouse model that recapitulates the human basal type of breast cancer was used for this study.

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Computational studies of low spin d cis- and trans-[M(en)X] complexes (M = Co, Rh, Ir) employing multiple model chemistries find that isomer preferences fall into three categories. Complexes where X is largely a σ-donor (H, CH, CF) prefer cis geometries, in keeping with predictions associated with the trans influence series. Complexes where this donor characteristic is augmented by π acceptor behavior (B(CF), BCl, SiCl) evince even greater preference for cis geometries.

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