Biology subjects

Torp, J.

Publications and source records attributed to Torp, J..

4 recordsLinked to original sources

bioRxiv2026

NLRP3 acts as a direct sensor of intracellular potassium ions

The NLRP3 inflammasome is a sentinel of cellular homeostasis, and its activation triggers the assembly of a molecular machinery that drives inflammation in infection, cardiovascular, metabolic, and neurodegenerative diseases. The majority of the many triggers known to activate NLRP3 are believed to induce potassium ion (K+) efflux from the cell as a fundamental danger signal for compromised cellular integrity. However, it has remained unclear how a reduction in intracellular K+ concentration is mechanistically translated into conformational changes in NLRP3 that promote inflammasome assembly, interleukin (IL)-1 release, and cell death. Here, we provide evidence that alterations in K+ levels directly regulate the conformation of the NLRP3 protein. In cell-free lysates derived from cell lines and primary blood immune cells high K+ concentrations stabilized a compact, protease-resistant structure resembling inhibitor-bound NLRP3, whereas low K+ conditions or the presence of a K+ chelator favored an open, more flexible and protease-accessible conformation. Notably, human NLRP3 remained responsive to K+ even when exogenously expressed in macrophage-like Drosophila cells or purified as recombinant protein. This indicates that K+ sensing occurs independently of cellular co-factors and is consistent with direct ion coordination. Of note, stimulation with the K+-independent NLRP3 agonist CL097 failed to recapitulate the conformational transition caused by K+ efflux inducer, nigericin. Moreover, pathogenic gain-of-function mutant variants of NLRP3 constitutively resembled the open and flexible protease-accessible conformation. Mapping K+-interactions by high-performance computation suggested that K+ ions populate the nucleotide binding pocket of the FISNA-NACHT module of individual NLRP3 chains but also stabilize face-to-face interactions within inactive oligomeric cage assemblies via the NACHT-adjacent acidic loop. Collectively, our findings enable us to propose a mechanistic model of how intracellular K+ ions preclude NLRP3 activation prior to efflux and thus how NLRP3 responds to cellular danger as a direct K+ sensing protein.

immunology↗

bioRxiv2025

Inhibition of NLRP3 by a CNS-penetrating indazole scaffold

Low-grade inflammation is a hallmark of ageing and a key cause of age-related impairments and diseases1. The NOD-like receptor NLRP3 senses a variety of danger signals and environmental insults, resulting in pro-inflammatory response, inflammasome formation and pyroptosis2,3. Its aberrant activation has been linked to many acute and chronic diseases ranging from atherosclerosis to Alzheimers disease and cancer, making NLRP3 an attractive therapeutic target4,5. Here we report the discovery, characterization, and structure of an indazole-based NLRP3 antagonist, BAL-1516, which potently inhibits inflammasome formation in monocytes and microglia. The cryo-electron microscopy structure of BAL-1516 bound to NLRP3 reveals a previously undescribed compound binding site at a surface groove of the nucleotide-binding domain with contacts to the FISNA and WHD subdomains. The characteristic feature of BAL compound binding is the formation of three hydrogen bonds to the peripheral {beta}-strand of the triple-ATPase; two from the indazoles nitrogen atoms and a third from the compounds linker region. Additional phenyl and thiazole moieties render the compound hydrophobic, allowing excellent blood-brain barrier penetration. The compound binding site is highly specific for NOD-like receptors, and the optimized compound BAL-1516 is able to directly bind mouse NLRP3 despite two conservative residue changes in the binding interface. The BAL compounds represent a first-in-class family of NLRP3 inhibitors, providing a broad design space, including covalent and degradative properties, for the development of NLRP3-directed therapeutics. The innate immune system contains cytosolic proteins that sense cellular stress caused by bacterial, viral and fungal infections or sterile inflammation, to control cellular integrity2. NLRP3 is a well-studied member of the nucleotide-binding oligomerization domain (NOD)-like receptors (NLRs) that is involved in the activation of the inflammasome, a multiprotein complex that mediates inflammation6. Upon detection of stress or pathogen-associated signals, NLRP3 triggers the activation of caspase-1, which leads to the production of pro-inflammatory cytokines such as IL-1{beta} and IL-18, driving inflammatory responses and ultimately pyroptotic cell death. In the context of neuroinflammation, NLRP3 plays a significant role in the pathogenesis of various neurodegenerative diseases, including Alzheimers disease, Parkinsons disease, and multiple sclerosis7. Research into targeting NLRP3 signalling with CNS-penetrating molecules holds potential for developing therapeutic strategies to alleviate neuroinflammatory conditions and to slow the progression of neurodegenerative diseases.

immunology↗

bioRxiv2022

ArtSeg: Rapid Artifact Segmentation and Removal in Brightfield Cell Microscopy Images

Brightfield cell microscopy is a foundational tool in life sciences. The acquired images are prone to contain visual artifacts that hinder downstream analysis, and automatically removing them is therefore of great practical interest. Deep convolutional neural networks are state-of-the-art for image segmentation, but require pixel-level annotations, which are time-consuming to produce. Here, we propose ScoreCAM-U-Net, a pipeline to segment artifactual regions in brightfield images with limited user input. The model is trained using only image-level labels, so the process is faster by orders of magnitude compared to pixel-level annotation, but without substantially sacrificing the segmentation performance. We confirm that artifacts indeed exist with different shapes and sizes in three different brightfield microscopy image datasets, and distort downstream analyses such as nuclei segmentation, morphometry and fluorescence intensity quantification. We then demonstrate that our automated artifact removal ameliorates this problem. Such rapid cleaning of acquired images using the power of deep learning models is likely to become a standard step for all large scale microscopy experiments.

bioinformatics↗

bioRxiv2021

Live-cell microscopy or fluorescence anisotropy with budded baculoviruses - which way to go with measuring ligand binding to M4 muscarinic receptors?

M4 muscarinic receptor is a G protein-coupled receptor that has been associated with alcohol and cocaine abuse, Alzheimers disease and schizophrenia which makes it an interesting drug target. For many G protein-coupled receptors, the development of high-affinity fluorescence ligands has expanded the options for high throughput screening of drug candidates and serve as useful tools in fundamental receptor research. So far, the lack of suitable fluorescence ligands has limited studying M4 receptor ligand binding. Here, we explored the possibilities of using fluorescence-based methods for studying binding affinity and kinetics to M4 receptor of both labeled and unlabeled ligands. We used two TAMRA-labeled fluorescence ligands, UR-MK342 and UR-CG072, for assay development. Using budded baculovirus particles as M4 receptor preparation and fluorescence anisotropy method, we determined the affinities and binding kinetics of both fluorescence ligands. The fluorescence ligands could also be used as reported probes for determining binding affinities of a set of unlabeled ligands. Based on these results, we took a step further towards a more natural signaling system and developed a method using live CHO-K1-hM4R cells and automated fluorescence microscopy suitable for routine determination of unlabeled ligand affinities. For quantitative image analysis, we developed random forest and deep learning-based pipelines for cell segmentation. The pipelines were integrated into the user-friendly open-source Aparecium software. Both developed methods were suitable for measuring fluorescence ligand saturation binding, association and dissociation kinetics as well as for screening binding affinities of unlabeled ligands. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=112 SRC="FIGDIR/small/473643v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@17dfac6org.highwire.dtl.DTLVardef@1db1760org.highwire.dtl.DTLVardef@dba2a0org.highwire.dtl.DTLVardef@191f149_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗