Dataset Description The purpose of this experiment was to investigate how the interactions between APOA1 and APOA2 on the surface of high-density lipoproteins (HDL) impact particle function. Interactions were investigated on HDL isolated from human blood plasma using structural proteomics tools such...
Dataset Description Soil samples were incubated with either 0.2% cellobiose for three days or 0.2% xylan for nine days. Microbes were extracted from the soil matrix, incubated overnight in MOPS buffer with either cellobiose or xylose. The following day subsamples from each carbon source incubations...
This study investigates how circadian clock regulation impacts carbon partitioning between storage, growth, and product synthesis in Synechococcus elongatus PCC 7942 in providing insights for potential strategies for enhanced bioproduction. In our analysis we explore circadian regulatory rewiring of...
The ability of high-density lipoprotein (HDL) to promote cellular cholesterol efflux is a more robust predictor of cardiovascular disease protection than HDL-cholesterol levels in plasma. Previously, we found that lipidated HDL containing both apolipoprotein A-I (APOA1) and A-II (APOA2) promotes...
The overarching goal of this research is to predict and engineer robust microbial phenotypes under stressed conditions to accelerate and de-risk bioprocess development. Laboratory strains routinely fail to maintain productivity at industrial scales, in part due to bioprocess stresses and a limited...
The research goal of this project is to develop a computational approach known as Variation-leveraged Phenomic Association Study (VaLPAS) to address the challenge of using functional dark matter (proteins, metabolites, lipids) for bioeconomy applications. The project has four objectives: 1...
Primary publication pre-print. Cite as: arXiv:2410.09346 [q-bio.MN]
Citation: Mejia-Rodriguez D, Kim H, Sadler N, Li X, Bohutskyi P, Valiev M, Qian WJ, Cheung MS. PTM-Psi: A python package to facilitate the computational investigation of post-translational modification on protein structures and their impacts on dynamics and functions. Protein Sci. 2023 Dec;32(12)...
Citation : Reichart NJ, Steiger AK, Van Fossen EM, McClure R, Overkleeft HS, Wright AT. Selection and enrichment of microbial species with an increased lignocellulolytic phenotype from a native soil microbiome by activity-based probing. ISME Commun. 2023 Sep 30;3(1):106. doi: 10.1038/s43705-023...
The research goal of this project is to establish model synthetic microbial communities to understand the rules regulating their biological function in order to utilize them as next generation bioproduction platforms capable of reducing carbon and nitrogen footprints in biomanufacturing processes.
The research goal of this project is to develop a biologically informed machine learning (ML) model that integrates datasets from different studies, and leverages current biological knowledge in an automated manner, to improve predictions in biological data analysis.
The research goal of this project is to develop computational methods to predict cell regulation phenotypes using small molecule and proteome data to understand outcomes in complex biological systems.
The research goal of this project is to develop new theory and tools that leverage evolutionary perspectives and knowledge of the energetics of reactions to predict the most likely regulation in a given environment. These methods will accelerate exploration, modeling and understanding of cell...
The research goal of this project is to build and understand model communities that show carbon storage phenotypes
The research goal of this project is to construct and streamline an approach to identify phenotype-relevant signatures by integrating various proteomics data. Leveraging protein structures and interaction networks, we will map structural changes and post-translational modifications to identify...
