Biology subjects

Lagerholm, C.

Publications and source records attributed to Lagerholm, C..

5 recordsLinked to original sources

bioRxiv2025

Mixed-mobility supported lipid bilayers reveal the modulatory role ofimmobilized ICAM1 on T cell activation, effector functions and immune synapse organization

The immunological synapse (IS) integrates antigen recognition and adhesion to control T cell activation and effector functions. Reductionist systems have been instrumental in dissecting IS organization, but conventional systems constrain all ligands to be either mobile or immobile, unlike antigen-presenting cells where intercellular adhesion molecule 1 (ICAM1) is cytoskeletally anchored while T cell receptor (TCR) ligands remain mobile. Here, we establish mixed-mobility supported lipid bilayers (SLBs) that simultaneously present mobile TCR agonists and immobile ICAM1. Selective immobilization of ICAM1 disrupts centripetal F-actin flow, prevents centralization of TCR microclusters and shifts signaling to peripheral microclusters. This attenuates TCR downregulation through ectocytosis while maintaining recycling, and enhances integrin mechanotransduction, reflected in increased phosphorylation of Focal Adhesion Kinase, Paxillin and the stretch-sensitive adaptor CasL. Functionally, immobilized ICAM1 augments T cell activation, degranulation, Perforin release and cytotoxicity. Importantly, these findings were recapitulated in a cell-cell system engineered to express either full-length, cytoskeleton-anchored ICAM1 or a truncated form lacking cytoskeletal association, with full-length ICAM1 consistently promoting stronger effector responses. These findings identify ligand mobility as a key biophysical parameter that shapes IS organization and T cell effector responses and establish mixed-mobility SLBs as a powerful tool for probing receptor mechanics in immunity.

immunology↗

bioRxiv2025

JNK regulates GABAAR expression at the cell surface via the receptor clustering protein GIT1 (ArfGAP1)

GABAA-type receptors (GABAARs) mediate fast and tonic inhibition and are essential for maintaining excitatory/inhibitory balance in neural circuits. Disrupted GABAergic signaling leads to maladaptive changes associated with neuropsychiatric disorders, yet the mechanisms that regulate GABAAR surface availability remain incompletely understood. We previously identified that the stress-activated kinase JNK1 drives anxiety-like behaviours in mice suggesting a potential link between stress signalling and GABAergic regulation. Here, we show that genetic deletion or inhibition of JNK1 increases surface expression of {beta}3-containing GABAARs at extrasynaptic sites and at excitatory synapses where they may participate in shunting inhibition. We identify the signalling scaffold GIT1 as a direct JNK1 substrate, phosphorylated at S371, and find that GIT1 accumulates in dendritic spines in Jnk1-/- neurons or following JNK inhibition, whereas the phosphomimetic GIT1-S371D is excluded. Moreover, GIT1 is required for JNK-dependent regulation of {beta}3-GABAAR trafficking. Accordingly, neurons from Jnk1-/- mice exhibit increased spontaneous inhibitory postsynaptic potentials and enhanced tonic inhibition. These results reveal a JNK1-GIT1 signalling axis that suppresses GABAAR stability and inhibitory tone, providing a mechanism by which the stress-activated JNK pathway modulates synaptic and extrasynaptic inhibition.

neuroscience↗

bioRxiv2023

Single-cell phenomics reveals behavioural and mechanical heterogeneities underpinning collective migration during mouse anterior patterning

Distal Visceral Endoderm (DVE) cells show a stereotypic unidirectional migration essential for correct orientation of the anterior-posterior axis. They migrate within a simple epithelium, the Visceral Endoderm (VE). It is unknown how DVE cells negotiate their way amongst the surrounding VE cells, what determines the bounds of DVE migration within the VE, and the relative contributions of different cell behaviours to this migration. To address these questions, we used lightsheet microscopy to generate a multi-embryo, singlecell resolution, longitudinal dataset of cell behaviour and morphology. We developed a machine learning based pipeline to segment cells and a data-informed systematic computational framework to extract and compare select morphological, behavioural and molecular parameters of all VE cells in a unified coordinate space. Unbiased clustering of this single-cell phenomic dataset reveals considerable patterned phenotypic heterogeneity within the VE and a previously unknown sub-grouping within the DVE. While migrating, DVE cells retain regular morphology, do not exchange neighbours and are crowded, all hallmarks of the jammed state. In contrast, VE cells immediately ahead of them deform and undergo neighbour exchange. We show that DVE cells are characterised by higher levels of apical F-actin and elevated tension relative to the VE cells immediately ahead of them through which they migrate, but stop migrating upon reaching a region of the VE with matching elevated tension. Lefty1 mutants, known to show abnormal over-migration of DVE cells, show disruption to this patterned tension in the VE. Our findings provide novel insights into the control of cell behaviour during the remodelling of curved epithelia, indicating that the collective migration of sub-sets of cells can be circumscribed by modulating the mechanical properties of surrounding cells and that migrating cells in this context remain as a jammed solid flock, with surrounding cells facilitating their movement by becoming unjammed. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=195 HEIGHT=200 SRC="FIGDIR/small/534937v1_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@10a7153org.highwire.dtl.DTLVardef@963a1forg.highwire.dtl.DTLVardef@c1fcd0org.highwire.dtl.DTLVardef@1bcdded_HPS_FORMAT_FIGEXP M_FIG C_FIG

developmental biology↗

bioRxiv2021

Lipid tracking at kilohertz sampling rates on live cell membranes through Interferometric Scattering microscopy

The specific details of the lateral diffusion dynamics in cellular plasma membrane are an open topic in modern biophysics. Many studies have documented several different behaviours, including free (Brownian) motion, confined diffusion, transiently confined (hop) diffusion, anomalous diffusion, and combinations thereof. Here we have employed Interferometric Scattering Microscopy (ISCAT) to explore the lateral diffusion dynamics in the plasma membrane of living cells of a biotinylated lipid analogue that had been labelled with streptavidin-coated gold nanoparticles (20 and 40nm in diameter) at a sampling rate of 2kHz. The data was analysed with an unbiased statistics-driven mean squared displacement analysis pipeline that was designed to identify both the most likely diffusion mode for a specific data set, and the best fit parameters of the most likely model. We found that the prevalent diffusion mode of the tracked lipids, independent of the particle size, is compartmentalized diffusion, although the use of the larger tags resulted in tighter confinement and reduced diffusion rates. Through our analysis and comparison with simulated data, we quantify significant physical parameters, such as average compartment size, dynamic localization uncertainty, and the diffusion rates. We hereby further demonstrate the use of a confinement strength metric that makes it possible to compare diffusivity measurements across techniques and experimental conditions. Statement of SignificanceThis work offers new details on the data analysis of lipid diffusion on cellular membranes in vitro, through Interferometric Scattering microscopy. With this technique, we performed single particle tracking (SPT) experiments at 2kHz sampling rate. We analyzed the data through an unbiased statistics-driven protocol. The data shows that the diffusion motion of the tracked lipids follows mainly the "hopping" diffusion behaviour, whereby transient confinement zones hinder the particle dynamics. Matching the experimental data with diffusion simulations, we have been able to verify the physical parameters inferred by the experimental data analysis. Finally, we showcase a framework to compare SPT data with other techniques, to offer a complete overview of plasma membrane dynamics.

biophysics↗

bioRxiv2017

A tissue-specific self-interacting chromatin domain forms independently of enhancer-promoter interactions

A variety of self-interacting domains, defined at different levels of resolution, have been described in mammalian genomes. These include Chromatin Compartments (A and B)1, Topologically Associated Domains (TADs)2,3, contact domains4,5, sub-TADs6, insulated neighbourhoods7 and frequently interacting regions (FIREs)8. Whereas many studies have found the organisation of self-interacting domains to be conserved across cell types389, some do form in a lineage-specific manner6710. However, it is not clear to what degree such tissue-specific structures result from processes related to gene activity such as enhancer-promoter interactions or whether they form earlier during lineage commitment and are therefore likely to be prerequisite for promoting gene expression. To examine these models of genome organisation in detail, we used a combination of high-resolution chromosome conformation capture, a newly-developed form of quantitative fluorescence in-situ hybridisation and super-resolution imaging to study a 70 kb self-interacting domain containing the mouse -globin locus. To understand how this self-interacting domain is established, we studied the region when the genes are inactive and during erythroid differentiation when the genes are progressively switched on. In contrast to many current models of long-range gene regulation, we show that an erythroid-specific, decompacted self-interacting domain, delimited by convergent CTCF/cohesin binding sites, forms prior to the onset of robust gene expression. Using previously established mouse models we show that formation of the self-interacting domain does not rely on interactions between the -globin genes and their enhancers. As there are also no tissue-specific changes in CTCF binding, then formation of the domain may simply depend on the presence of activated lineage-specific cis-elements driving a transcription-independent mechanism for opening chromatin throughout the 70 kb region to create a permissive environment for gene expression. These findings are consistent with a model of loop-extrusion in which all segments of chromatin, within a region delimited by CTCF boundary elements, can contact each other. Our findings suggest that activation of tissue-specific element(s)within such a self-interacting region is sufficient to influence all chromatin within the domain.

cell biology↗