ACS Chemical Biology最新文献

Tumor-selective degradation of target proteins has the potential to offer superior therapeutic benefits with maximized therapeutic windows and minimized off-target effects. However, the development of effective lysosome-targeted degradation platforms for achieving selective protein degradation in tumors remains a substantial challenge. Cancer cells depend on certain solute carrier (SLC) transporters to acquire extracellular nutrients to sustain their metabolism and growth. This current study exploits facilitative glucose transporters (GLUTs), a group of SLC transporters widely overexpressed in numerous types of cancer, to drive the endocytosis and lysosomal degradation of target proteins in tumor cells. GLUT-targeting chimeras (GTACs) were generated by conjugating multiple glucose ligands to an antibody specific for the target protein. We demonstrate that the constructed GTACs can induce the internalization and lysosomal degradation of the extracellular and membrane proteins streptavidin, tumor necrosis factor-alpha (TNF-α), and human epidermal growth factor receptor 2 (HER2). Compared with the parent antibody, the GTAC exhibited higher potency in inhibiting the growth of tumor cells in vitro and enhanced tumor-targeting capacity in a tumor-bearing mouse model. Thus, the GTAC platform represents a novel degradation strategy that harnesses an SLC transporter for tumor-selective depletion of secreted and membrane proteins of interest.

Protein misfolding and aggregation are the hallmarks of neurodegenerative diseases including Huntington's disease, Parkinson's disease, Alzheimer's disease, and prion diseases. A crowded cellular environment plays a crucial role in modulating protein aggregation processes in vivo and the pathological aggregation of proteins linked to different neurodegenerative disorders. Here, we review recent studies examining the effects of various crowding agents, such as polysaccharides, polyethylene glycol, and proteins like BSA and lysozyme on the behaviors of aggregation of several amyloidogenic peptides and proteins, including amylin, huntingtin, tau, α-synuclein, prion, and amyloid-β. We also summarize how the aggregation kinetics, thermodynamic stability, and morphology of amyloid fibrils are altered significantly in the presence of crowding agents. In addition, we also discuss the molecular basis underlying the modulation of amyloidogenic aggregation, focusing on changes in the protein conformation, and the nucleation mechanism. The molecular understanding of the effects of macromolecular crowding on amyloid aggregation is essential for revealing disease pathologies and identifying possible therapeutic targets. Thus, this review offers a perspective on the complex interplay between protein aggregation and the crowded cellular environment in vivo and explains the relevance of crowding in the context of neurodegenerative disorders.

Fungal unspecific peroxygenases (UPOs) are gaining momentum in synthetic chemistry. Of special interest is the UPO from Marasmius rotula (MroUPO), which shows an exclusive repertoire of oxyfunctionalizations, including the terminal hydroxylation of alkanes, the α-oxidation of fatty acids and the C-C cleavage of corticosteroids. However, the lack of heterologous expression systems to perform directed evolution has impeded its engineering for practical applications. Here, we introduce a close ortholog of MroUPO, a UPO gene from Marasmius wettsteinii (MweUPO-1), that has a similar reaction profile to MroUPO and for which we have set up a directed evolution platform based on tandem-yeast expression. Recombinant MweUPO-1 was produced at high titers in the bioreactor (0.7 g/L) and characterized at the biochemical and atomic levels. The conjunction of soaking crystallographic experiments at a resolution up to 1.6 Å together with the analysis of reaction patterns sheds light on the substrate preferences of this promiscuous biocatalyst.

Voltage imaging is an important complement to traditional methods for probing cellular physiology, such as electrode-based patch clamp techniques. Unlike the related Ca²⁺ imaging, voltage imaging provides a direct visualization of bioelectricity changes. We have been exploring the use of sulfonated silicon rhodamine dyes (Berkeley Red Sensor of Transmembrane potential, BeRST) for voltage imaging. In this study, we explore the effect of converting BeRST to diEt BeRST, by replacing the dimethyl aniline of BeRST with a diethyl aniline group. The new dye, diEt BeRST, has a voltage sensitivity of 40% ΔF/F per 100 mV, a 33% increase compared to the original BeRST dye, which has a sensitivity of 30% ΔF/F per 100 mV. In neurons, the cellular brightness of diEt BeRST is about 20% as bright as that of BeRST, which may be due to the lower solubility of diEt BeRST (300 μM) compared to that of BeRST (800 μM). Despite this lower cellular brightness, diEt BeRST is able to record spontaneous and evoked action potentials from multiple neurons simultaneously and in single trials. Far-red excitation and emission profiles enable diEt BeRST to be used alongside existing fluorescent indicators of cellular physiology, like Ca²⁺-sensitive Oregon Green BAPTA. In hippocampal neurons, simultaneous voltage and Ca²⁺ imaging reveals neuronal spiking patterns and frequencies that cannot be resolved with traditional Ca²⁺ imaging methods. This study represents a first step toward describing the structural features that define voltage sensitivity and brightness in silicon rhodamine-based BeRST indicators.

Intricately designed DNA and RNA motifs guide the assembly of robust and functional nucleic acid nanostructures. In this work, we present a globally left-handed RNA motif with two parallel strands called switchback RNA and report its assembly, biophysical, and biochemical characterization. Switchback RNA can be assembled in buffers without Mg²⁺, with improved thermal stability in buffers containing Mg²⁺, Na⁺, or K⁺. Differences in the binding of small molecules to switchback RNA and conventional RNA indicate design-based approaches for small molecule loading on RNA nanostructures. Further, the differential affinity of the two component strands in switchback or conventional duplex conformations allows for toehold-less strand displacement. Enzyme studies showed that the switchback and conventional RNA structures have similar levels of nuclease resistance. These results provide insights for employing switchback RNA as a structural motif in RNA nanotechnology. Our observation that RNA strands with switchback complementarity can form stable complexes at low magnesium concentrations encourages studies into the potential occurrence of switchback RNA in nature.

Epigenetic modifications play a pivotal role in the process of neurogenesis. Among these modifications, reversible acetylation fine-tunes gene expression for both embryonic and adult neurogenesis. The CBP/KAT3A and its paralogue p300/KAT3B are well-known lysine acetyltransferases with transcriptional coactivation ability that engage in neural plasticity and memory. The exclusive role of their KAT activity in neurogenesis and memory could not be addressed due to the absence of a p300/CBP modulator, which can cross the blood-brain barrier. Previous work from our laboratory has shown that a small molecule activator, TTK21, specific to CBP/p300, when conjugated to glucose-derived carbon nanospheres (CSP), is efficiently delivered to the mouse brain and could induce dendritic branching and extend long-term memory. However, the molecular mechanisms of p300 acetyltransferase activity-dependent enhanced dendritogenesis are yet to be understood. Here, we report that CSP-TTK21 treatment to primary neuronal culture derived from mouse embryo enhances the expression of five critical genes: Neurod1 (central nervous system development), Tubb3 (immature neural marker), Camk2a (synaptic plasticity and LTP), Snap25 (spine morphogenesis plasticity), and Scn2a (propagation of the action potential). Activation of these genes by inducing the p300/CBP KAT activity presumably promotes the maturation and differentiation of adult neuronal progenitors and thereby the formation of long and highly branched doublecortin-positive functional neurons in the subgranular zone of the dentate gyrus.

Among bacteria used as anticancer vaccines, attenuated Listeria monocytogenes (Lm^at) stands out, because it spreads from one infected cancer cell to the next, induces a strong adaptive immune response, and is suitable for repeated injection cycles. Here, we use click chemistry to functionalize the Lm^at cell wall and turn the bacterium into an "intelligent carrier" of the chemotherapeutic drug doxorubicin. Doxorubicin-loaded Lm^at retains most of its biological properties and, compared to the control fluorophore-functionalized bacteria, shows enhanced cytotoxicity against melanoma cells both in vitro and in a xenograft model in zebrafish. Our results show that drugs can be covalently loaded on the Lm^at cell wall and pave the way to the development of new two-in-one therapeutic approaches combining immunotherapy with chemotherapy.

Peptidyl arginine deiminases (PADs) are important enzymes in many diseases, especially those involving inflammation and autoimmunity. Despite many years of effort, developing isoform-specific inhibitors has been a challenge. We describe herein the discovery of a potent, noncovalent PAD2 inhibitor, with selectivity over PAD3 and PAD4, from a DNA-encoded library. The biochemical and biophysical characterization of this inhibitor and two noninhibitory binders indicated a novel, Ca²⁺ competitive mechanism of inhibition. This was confirmed via X-ray crystallographic analysis. Finally, we demonstrate that this inhibitor selectively inhibits PAD2 in a cellular context.

Recent advancements in AI-driven computational modeling, especially AlphaFold2, have revolutionized the prediction of biological macromolecule structures. AlphaFold2 enabled accurate predictions of structural domains and complex arrangements. However, computational models lack a clear metric for accuracy. This study explores whether computational models can match the crystallographic resolution of crystal structures. By comparing distances between atoms in models and crystal structures using t tests, it was found that AlphaFold2 models are comparable to high-resolution crystal structures (1.1 to 1.5 Å). While these models exhibit exceptional quality, their accuracy is lower than the crystal structure with resolutions better than 1 Å.