A Requirement of Protein Geranylgeranylation for Chemokine Receptor Signaling and Th17 Cell Function in an Animal Model of Multiple Sclerosis

Regulation of Adaptive Immunity by Lipid Post-translational Modifications

The burgeoning field of immunometabolism highlights the interdependence between metabolic programs and efficacious immune responses. The current understanding that cellular metabolic remodeling is necessary for a competent adaptive immune response, along with acutely sensitive methodologies such as high-performance liquid chromatography/mass spectrometry and advanced proteomics, have ushered in a renaissance of lipid- and metabolic-based scientific inquiries. One facet of recent interest examines how lipids function as post-translational modifications (PTMs) and their resulting effects on adaptive immune responses. The goal of this review is to establish a fundamental understanding of these protein modifications and highlight recent findings that underscore the importance of continued investigation into lipids as PTMs.

Structural Insight into Geranylgeranyl Diphosphate Synthase (GGDPS) for Cancer Therapy

Geranylgeranyl diphosphate synthase (GGDPS), the source of the isoprenoid donor in protein geranylgeranylation reactions, has become an attractive target for anticancer therapy due to the reliance of cancers on geranylgeranylated proteins. Current GGDPS inhibitor development focuses on optimizing the drug-target enzyme interactions of nitrogen-containing bisphosphonate-based drugs. To advance GGDPS inhibitor development, understanding the enzyme structure, active site, and ligand/product interactions is essential. Here we provide a comprehensive structure-focused review of GGDPS. We reviewed available yeast and human GGDPS structures and then used AlphaFold modeling to complete unsolved structural aspects of these models. We delineate the elements of higher-order structure formation, product-substrate binding, the electrostatic surface, and small-molecule inhibitor binding. With the rise of structure-based drug design, the information provided here will serve as a valuable tool for rationally optimizing inhibitor selectivity and effectiveness.