Explore the vast range of titles available.

Ferroptosis, an iron-dependent form of cell death driven by lipid peroxidation, provides a potential treatment avenue for drug-resistant cancers and may play a role in the pathology of some degenerative diseases. Identifying the subcellular membranes essential for ferroptosis and the sequence of their peroxidation will illuminate drug discovery strategies and ferroptosis-relevant disease mechanisms. In this study, we employed fluorescence and stimulated Raman scattering imaging to examine the structure–activity–distribution relationship of ferroptosis-modulating compounds. We found that, although lipid peroxidation in various subcellular membranes can induce ferroptosis, the endoplasmic reticulum (ER) membrane is a key site of lipid peroxidation. Our results suggest an ordered progression model of membrane peroxidation during ferroptosis that accumulates initially in the ER membrane and later in the plasma membrane. Thus, the design of ER-targeted inhibitors and inducers of ferroptosis may be used to optimally control the dynamics of lipid peroxidation in cells undergoing ferroptosis. Ferroptosis is a lipid-peroxide-driven cell death with promising therapeutic applications. Although peroxidation of various subcellular membranes can initiate ferroptosis, the authors found that the endoplasmic reticulum is an essential site.

Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays multidrug resistance. Discovering new antibiotics against A. baumannii has proven challenging through conventional screening approaches. Fortunately, machine learning methods allow for the rapid exploration of chemical space, increasing the probability of discovering new antibacterial molecules. Here we screened ~7,500 molecules for those that inhibited the growth of A. baumannii in vitro. We trained a neural network with this growth inhibition dataset and performed in silico predictions for structurally new molecules with activity against A. baumannii . Through this approach, we discovered abaucin, an antibacterial compound with narrow-spectrum activity against A. baumannii . Further investigations revealed that abaucin perturbs lipoprotein trafficking through a mechanism involving LolE. Moreover, abaucin could control an A. baumannii infection in a mouse wound model. This work highlights the utility of machine learning in antibiotic discovery and describes a promising lead with targeted activity against a challenging Gram-negative pathogen. Using a neural network trained on bacterial growth inhibition data, in silico prediction of molecules with activity against Acinetobacter baumannii led to the identification of the narrow-spectrum abaucin, which perturbs lipoprotein trafficking.

Selective protein degradation platforms have afforded new development opportunities for therapeutics and tools for biological inquiry. The first lysosome-targeting chimeras (LYTACs) targeted extracellular and membrane proteins for degradation by bridging a target protein to the cation-independent mannose-6-phosphate receptor (CI-M6PR). Here, we developed LYTACs that engage the asialoglycoprotein receptor (ASGPR), a liver-specific lysosome-targeting receptor, to degrade extracellular proteins in a cell-type-specific manner. We conjugated binders to a triantenerrary N -acetylgalactosamine (tri-GalNAc) motif that engages ASGPR to drive the downregulation of proteins. Degradation of epidermal growth factor receptor (EGFR) by GalNAc-LYTAC attenuated EGFR signaling compared to inhibition with an antibody. Furthermore, we demonstrated that a LYTAC consisting of a 3.4-kDa peptide binder linked to a tri-GalNAc ligand degrades integrins and reduces cancer cell proliferation. Degradation with a single tri-GalNAc ligand prompted site-specific conjugation on antibody scaffolds, which improved the pharmacokinetic profile of GalNAc-LYTACs in vivo. GalNAc-LYTACs thus represent an avenue for cell-type-restricted protein degradation. Lysosome-targeting chimeras (LYTACs) based on glycan ligands of the asialoglycoprotein receptor facilitate the cell-specific targeting and turnover of proteins by lysosomal enzymes, expanding the scope of LYTAC-mediated targeted protein degradation.

Transcription factors (TFs) represent key biological players in diseases including cancer, autoimmunity, diabetes and cardiovascular disease. However, outside nuclear receptors, TFs have traditionally been considered ‘undruggable’ by small-molecule ligands due to significant structural disorder and lack of defined small-molecule binding pockets. Renewed interest in the field has been ignited by significant progress in chemical biology approaches to ligand discovery and optimization, especially the advent of targeted protein degradation approaches, along with increasing appreciation of the critical role a limited number of collaborators play in the regulation of key TF effector genes. Here, we review current understanding of TF-mediated gene regulation, discuss successful targeting strategies and highlight ongoing challenges and emerging approaches to address them.Transcription factors have key roles in a variety of diseases, but they have been traditionally considered ‘undruggable’ by small-molecule ligands. Here, Henley and Koehler provide an overview of current understanding of transcription factor-mediated gene regulation, assess successful and emerging strategies to modulate transcription factor activity and address the associated challenges.

The last three decades have brought a revolution in fluorescence microscopy. The development of new microscopes, fluorescent labels and analysis techniques has pushed the frontiers of biological imaging forward, moving from fixed to live cells, from diffraction-limited to super-resolution imaging and from simple cell culture systems to experiments in vivo. The large and ever-evolving collection of tools can be daunting for biologists, who must invest substantial time and effort in adopting new technologies to answer their specific questions. This is particularly relevant when working with small-molecule fluorescent labels, where users must navigate the jargon, idiosyncrasies and caveats of chemistry. Here, we present an overview of chemical dyes used in biology and provide frank advice from a chemist’s perspective. This Perspective offers an overview of organic dyes commonly used as fluorescent labels and gives a chemist’s insight into their benefits and peculiarities.

Many biological processes are executed and regulated through the molecular interactions of proteins and nucleic acids. Proximity labeling (PL) is a technology for tagging the endogenous interaction partners of specific protein ‘baits’, via genetic fusion to promiscuous enzymes that catalyze the generation of diffusible reactive species in living cells. Tagged molecules that interact with baits can then be enriched and identified by mass spectrometry or nucleic acid sequencing. Here we review the development of PL technologies and highlight studies that have applied PL to the discovery and analysis of molecular interactions. In particular, we focus on the use of PL for mapping protein–protein, protein–RNA and protein–DNA interactions in living cells and organisms.This Review describes proximity labeling methods that make use of peroxidases (APEX) or biotin ligases (TurboID, BioID), and their applications to studying protein–protein and protein–nucleic acid interactions in living systems.

Inhibition of the NLRP3 inflammasome is a promising strategy for the development of new treatments for inflammatory diseases. MCC950 is a potent and specific small-molecule inhibitor of the NLRP3 pathway, but its molecular target is not defined. Here, we show that MCC950 directly interacts with the Walker B motif within the NLRP3 NACHT domain, thereby blocking ATP hydrolysis and inhibiting NLRP3 activation and inflammasome formation. MCC950, a small-molecule inhibitor of the NLRP3 inflammasome, interacts directly with NLRP3 at the Walker B motif that hydrolyzes ATP, as defined by a protease-susceptibility assay, mutational analysis, and surface plasmon resonance analysis.

Biomolecular condensates compartmentalize and regulate assemblies of biomolecules engaged in vital physiological processes in cells. Specific proteins and nucleic acids engaged in shared functions occur in any one kind of condensate, suggesting that these compartments have distinct chemical specificities. Indeed, some small-molecule drugs concentrate in specific condensates due to chemical properties engendered by particular amino acids in the proteins in those condensates. Here we argue that the chemical properties that govern molecular interactions between a small molecule and biomolecules within a condensate can be ascertained for both the small molecule and the biomolecules. We propose that learning this ‘chemical grammar’, the rules describing the chemical features of small molecules that engender attraction or repulsion by the physicochemical environment of a specific condensate, should enable design of drugs with improved efficacy and reduced toxicity.This Perspective discussed selective partitioning behaviors of biomolecules and small molecules and proposed that understanding the chemical properties that control their interactions within the condensates would promote drug development.

Targeted protein degradation (TPD) has emerged as a promising therapeutic strategy. Most TPD technologies use the ubiquitin–proteasome system, and are therefore limited to targeting intracellular proteins. To address this limitation, we developed a class of modular, bifunctional synthetic molecules called MoDE-As (molecular degraders of extracellular proteins through the asialoglycoprotein receptor (ASGPR)), which mediate the degradation of extracellular proteins. MoDE-A molecules mediate the formation of a ternary complex between a target protein and ASGPR on hepatocytes. The target protein is then endocytosed and degraded by lysosomal proteases. We demonstrated the modularity of the MoDE-A technology by synthesizing molecules that induce depletion of both antibody and proinflammatory cytokine proteins. These data show experimental evidence that nonproteinogenic, synthetic molecules can enable TPD of extracellular proteins in vitro and in vivo. We believe that TPD mediated by the MoDE-A technology will have widespread applications for disease treatment. Bifunctional ‘MoDE-A’ molecules, which contain ligands that bind to an extracellular protein and carbohydrate residues that recruit it to the asialoglycoprotein receptor, mediate cellular uptake and lysosomal turnover of target proteins.

Ligand-dependent protein degradation has emerged as a compelling strategy to pharmacologically control the protein content of cells. So far, however, only a limited number of E3 ligases have been found to support this process. Here, we use a chemical proteomic strategy that leverages broadly reactive, cysteine-directed electrophilic fragments coupled to selective ligands for intracellular proteins (for example, SLF for FKBP12, JQ1 for BRD4) to screen for heterobifunctional degrader compounds (or proteolysis targeting chimeras, PROTACs) that operate by covalent adduction of E3 ligases. This approach identified DCAF16—a poorly characterized substrate recognition component of CUL4-DDB1 E3 ubiquitin ligases—as a target of electrophilic PROTACs that promote the nuclear-restricted degradation of proteins. We find that only a modest fraction (~10–40%) of DCAF16 needs to be modified to support protein degradation, pointing to the potential for electrophilic PROTACs to induce neosubstrate degradation without substantially perturbing the function of the participating E3 ligase. A chemical proteomics strategy identifies DCAF16 as a potential ubiquitin ligase recruiter for cysteine-directed electrophilic PROTACs to promote the degradation of nuclear proteins.