Self-amplifying RNA (saRNA) technology is an emerging platform for vaccine development, offering significant advantages over conventional mRNA vaccines. By enabling intracellular amplification of RNA, saRNA facilitates robust antigen expression at lower doses, thereby enhancing both immunogenicity and cost-effectiveness. This review examines the latest advancements in saRNA vaccine development, highlighting its applications in combating infectious diseases, including viral pathogens such as SARS-CoV-2, influenza, and emerging zoonotic threats. We discuss the design and optimization of saRNA vectors to maximize antigen expression while minimizing adverse immune responses. Recent studies demonstrating the safety, efficacy, and scalability of saRNA-based vaccines in clinical settings are also discussed. We address challenges related to delivery systems, stability, and manufacturing, along with novel strategies being developed to mitigate these challenges. As the global demand for rapid, flexible, and scalable vaccine platforms grows, saRNA presents a promising solution with enhanced potency and durability. This review emphasizes the transformative potential of saRNA vaccines to shape the future of immunization strategies, particularly in response to pandemics and other global health threats.
UBR box E3 ligases, also called N-recognins, are integral components of the N-degron pathway. Representative N-recognins include UBR1, UBR2, UBR4, and UBR5, and they bind destabilizing N-terminal residues, termed N-degrons. Understanding the molecular bases of their substrate recognition and the biological impact of the clearance of their substrates on cellular signaling pathways can provide valuable insights into the regulation of these pathways. This review provides an overview of the current knowledge of the binding mechanism of UBR box N-recognin/N-degron interactions and their roles in signaling pathways linked to G-protein-coupled receptors, apoptosis, mitochondrial quality control, inflammation, and DNA damage. The targeting of these UBR box N-recognins can provide potential therapies to treat diseases such as cancer and neurodegenerative diseases.
Cancer-associated fibroblasts (CAFs) are important in tumor progression. The autophagy adaptor protein, p62/SQSTM1/Sequestosome-1, is up-regulated in tumors, but down-regulated in CAFs in the early stages of lung adenocarcinoma. We investigated whether p62-induced autophagy might control CAF activation. Under CAF-inducing conditions, like hypoxia or cancer cell co-cultures, p62 ablation or autophagy inhibition with hydroxychloroquine (HCQ) impaired CAF activation and reduced transforming growth factor beta (TGFβ) production, which impeded tumor growth. During CAF activation, p62-induced autophagy up-regulated the expression of the anti-oxidant signaling protein, nuclear factor erythroid 2-related factor 2 (Nrf2), and the ER-stress response regulator, activating transcription factor 6 (ATF6). Genetically or pharmacologically inhibiting the Nrf2-ATF6 pathway totally blocked CAF activation and tumor progression. These results demonstrate that p62 is a key modulator of primary lung adenocarcinoma progression. Thus, targeting the p62-Nrf2 autophagy signaling pathway might be a novel, stroma-focused, cancer prevention and/or treatment strategy.
9 March 2021 in Cellular and Molecular Life Sciences
Protein arginylation is a critical regulator of a variety of biological processes. The ability to uncover the global arginylation pattern and its associated signaling pathways would enable us to identify novel disease targets. Here, we report the development of a tool able to capture the N-terminal arginylome. This tool, termed R-catcher, is based on the ZZ domain of p62, which was previously shown to bind N-terminally arginylated proteins. Mutating the ZZ domain enhanced its binding specificity and affinity for Nt-Arg. R-catcher pulldown coupled to LC–MS/MS led to the identification of 59 known and putative arginylated proteins. Among these were a subgroup of novel ATE1-dependent arginylated ER proteins that are linked to diverse biological pathways, including cellular senescence and vesicle-mediated transport as well as diseases, such as Amyotrophic Lateral Sclerosis and Alzheimer’s disease. This study presents the first molecular tool that allows the unbiased identification of arginylated proteins, thereby unlocking the arginylome and provide a new path to disease biomarker discovery.
Lipid nanoparticles (LNPs) are promising mRNA delivery vehicles due to their biocompatibility and tunable characteristics. While current rational design approaches focus on ionizable lipids' pKa and zeta potential to optimize mRNA encapsulation and endosomal escape, the selection of helper lipids remains largely empirical. We propose that the lipid transition temperature (Tm), marking the shift from the gel to the liquid crystalline phase, can guide rational helper lipid selection. Through screening 54 ionizable lipids, we identified H7T4, which displayed favorable physicochemical properties when combined with its tail variants but exhibited poor transfection efficiency. Using nano differential scanning calorimetry (nDSC) and biological small-angle X-ray scattering (BioSAXS), we found that lowering the system's Tm by combining H7T4 (high transition temperature) with a low-transition-temperature helper lipid such as 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) significantly enhanced mRNA cellular uptake both in vitro and in vivo. These findings establish Tm as a crucial parameter for a rational LNP design.