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Santos, A. M.

Publications and source records attributed to Santos, A. M..

At least 19 recordsLinked to original sources

Spatially patterned, spectral single-molecule microscopy

Multicolour and spectrally resolved single-molecule microscopy can reveal molecular interactions, nanoscale environments and dynamics, but usually depends on experimentally complex detection architectures based on beam splitting, spectral dispersion or engineered point spread functions. Here we show that spatially patterned detectors offer a conceptually simpler route to spectral single-molecule imaging. By replacing a conventional monochrome camera with a commercially available colour CMOS detector and fitting the raw detector response directly, we recover both molecular position and spectral fingerprint from a single image without optical splitting, channel registration or demosaicing. We term this approach spatial spectral single-molecule microscopy, or S3M. We show that S3M retains single-molecule sensitivity across the visible spectrum, enables robust spectral multiplexing, and supports applications spanning multicolour single-molecule tracking, single-molecule F&oumlrster resonance energy transfer, multicolour localisation microscopy and spectral PAINT. Although spatial patterning necessarily trades photon efficiency for spectral information, current low noise detectors already provide sufficient performance for a broad range of experiments. Spatially patterned detection therefore establishes a widely accessible strategy for simplified spectral microscopy and single-molecule spectroscopy, and points towards a new class of detector informed photonic measurement schemes for nanoscale imaging.

biophysics↗

Signalome-wide mapping of the NFκB pathway in T-cells reveals novel targets for immunotherapy

Cell signalling networks govern fundamental cellular processes yet remain incompletely defined. Moreover, what is known is biased toward a limited subset of well-characterised components. Phosphoprotein-based interrogation methods, including mass spectrometry and targeted phosphosite panels, have limited utility in physiological settings dependent on cell-cell interactions because the signalling fluxes can be difficult to detect despite producing robust functional responses. Here we developed a perturbation-based experimental framework that infers signalling pathway architecture using quantitative functional outputs rather than direct measurements of effector state, e.g., phosphorylation levels. Using antigen-specific, NF-{kappa}B-GFP reporter-expressing transformed T-cells co-cultured with cellular targets, we performed an arrayed CRISPR-Cas9 screen targeting a curated signalome of kinases, phosphatases, adaptor and scaffolding proteins, totalling 706 genes. Quantitative effect-size profiling recovered canonical T-cell receptor regulators and revealed unequal, family-specific patterns of control over NF-{kappa}B activation. Comparing T-cell stimulation with low- and high-affinity antigen uncovered signal-strength-dependent buffering of proximal signalling nodes, exemplified by reduced sensitivity to perturbation of LCK under high-intensity stimulation. Targeted perturbation in primary human CD8 T-cells validated our findings and identified TRRAP and CTDSPL2 as negative regulators of T-cell effector output, whose disruption enhanced cytotoxicity, degranulation, and cytokine production in both polyclonal and TCR-engineered T cells. Together, these results establish a scalable strategy for mapping signalling pathway architecture in the setting of physiological T-cell activation.

immunology↗

T-cell signaling relies on partial CD45-exclusion at sub-micron sized cellular contacts

How cell contact initiates T-cell activation is uncertain. The local exclusion of the receptor-type protein tyrosine phosphatase CD45 at cell contacts is believed to trigger immune receptor signaling but this is yet to be observed for T cells interacting with authentic cellular targets. Here, quantitative imaging of T cells interacting with tumor cells presenting either native or clinically relevant bi-specific TCR ligands, revealed that they form multiple sub-micron sized close contacts with their targets. The contacts were stabilised by the adhesion protein CD2, but efficient ligand detection required both CD2 and integrin ligation. CD45 was excluded from close contacts at the time of ZAP70 recruitment and signaling, but only partially (30- 40%). A single-cell, mass cytometric analysis showed that this change in kinase/phosphatase activity provoked strong T-cell activation and potent cytotoxicity via very small changes in signaling fluxes. Spatial stochastic simulations suggested that the proximal T-cell signaling network is optimised for efficient antigen discrimination in the setting of partial CD45 exclusion. Our work re-frames early T-cell activation as a process initiated by relatively subtle changes in kinase/phosphatase activity acting on small numbers of signaling effectors at minute cellular contacts.

immunology↗

Detection of diadromous fish using environmental DNA: prospects for its use in conservation of endangered species occurring in Portugal

The high economic value and cultural relevance of diadromous fish make them primary targets for traditional fisheries, that need effective management to ensure the long-term survival of their populations. In Portugal, these species are experiencing a marked decline, primarily due to habitat loss and fragmentation, alongside pollution and overfishing. Accurate monitoring is therefore essential to strengthen the management of diadromous fish within Portuguese ecosystems. Advancements in monitoring methodologies could benefit from more sensitive approaches, such as environmental DNA (eDNA) analysis, which is increasingly recognized as a valuable complement to conventional fish monitoring. However, eDNA-based tools remain largely absent and untested in Portugals monitoring and management of diadromous fish. This study reviews literature on eDNA-based detection of diadromous fish species and discusses key methodological aspects influencing the detection efficiency, including sample processing (e.g., water filtration), DNA extraction methods, marker regions and primers, approach and platforms. A particular focus is placed on diadromous fishes occurring in Portugal, which includes several endangered species, and the prospects of using eDNA to monitor them. We also report a pilot study comparing specific assays and DNA metabarcoding in eDNA-based detection of sea lamprey in the Minho River watershed. By consolidating current literature, this work underscores the potential of eDNA to strengthen diadromous fish conservation in Portugal and offers insights to support the integration of eDNA-based tools into national monitoring frameworks. Although our study focuses on Portuguese species, the approaches and insights discussed are broadly applicable and can inform conservation efforts in other regions facing similar challenges. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/645525v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@d5f332org.highwire.dtl.DTLVardef@5171b0org.highwire.dtl.DTLVardef@ff1993org.highwire.dtl.DTLVardef@1e8264f_HPS_FORMAT_FIGEXP M_FIG C_FIG

ecology↗

ARID1A-induced transcriptional reprogramming rewires signalling responses to drug treatment in melanoma

Resistance to BRAF and MAPK inhibitors is a significant challenge in melanoma treatment, driven by adaptive and acquired mechanisms that allow tumour cells to evade therapy. Here, we examined early signalling responses to single and combined BRAF and MAPK inhibition in a BRAFV600E, drug-sensitive melanoma cell line and a drug-resistant ARID1A-knockout (KO) derivative. ARID1A, frequently mutated in melanoma, is associated with resistance and immune evasion. Using an innovative systems biology approach that integrates transcriptomics, proteomics, phosphoproteomics, and functional kinomics through matrix factorization and network analysis, we identified key signalling alterations and resistance mechanisms. We found that ARID1A-KO cells exhibited transcriptional rewiring, sustaining MAPK1/3 and JNK activity post-treatment, bypassing feedback sensitivity observed in parental cells. This rewiring suppressed PRKD1 activation, increased JUN activity--a central resistance network node--and disrupted PKC dynamics through elevated basal RTKs (e.g., EGFR, ROS1) and Ephrin receptor activity post-treatment. ARID1A mutations also reduced HLA-related protein expression and enriched extracellular matrix components, potentially limiting immune infiltration and reducing immunotherapy efficacy. Our graph-theoretical multi-omics approach uncovered novel resistance-associated signalling pathways, identifying PRKD1, JUN, and NCK1 as critical nodes. While receptor activation redundancies complicate single-target therapies, they also present opportunities for combination strategies. This study highlights ARID1As role in reshaping signalling and immune interactions, offering new insights into melanoma resistance mechanisms. By identifying actionable targets, including JUN and immune pathways, we provide a foundation for developing integrated therapeutic strategies to overcome resistance in BRAF/MAPK inhibitor-treated melanoma. One sentence summaryThis study reveals how ARID1A-mediated transcriptional rewiring drives resistance to MAPK inhibitors in melanoma by altering signalling pathways, immune interactions, and receptor dynamics, highlighting potential targets for combinatorial therapies.

systems biology↗

Cell state and transcription factor modulation during extended ex vivo CD8+ T-cell expansion.

Adoptive cell therapy is becoming a cornerstone of tumour immunotherapy. It relies on the relatively long-term (> 2 week) ex vivo expansion of T cells either in the form of tumour-infiltrating cells, or bulk cells modified with the expression of heterologous signalling proteins, e.g., chimeric antigen receptors. However, relatively little is known about the developmental trajectories of T cells under these conditions at the system level, or whether the pathways governing these trajectories could be manipulated for clinical advantage. Using bulk RNA-seq analysis of T cells expanded and rested over a 17-day period, we produce a resource revealing how gene expression changes as cells transition through distinct cellular states over the course of activation and ex vivo expansion. By integrating this resource with published single-cell RNA-seq data, we identify a member of the AP1 transcription factor (TF) family, FOSL1, that primes CD8+ T-cells towards an effector/killing phenotype. Remarkably, FOSL1 over-expression during T-cell expansion produced super engager-like T-cells, evidenced by their gene-expression signatures and enhanced cancer-cell killing capacity. This establishes proof-of-principle for the rational engineering of T cells via TF modification during ex vivo expansion, offering a route to improving adoptive T-cell therapy.

immunology↗

The kinase occupancy of T-cell coreceptors reconsidered

The sensitivity of the {beta} T-cell receptor (TCR) is enhanced by the coreceptors CD4 and CD8{beta}, which are expressed primarily by cells of the helper and cytotoxic T-cell lineages, respectively. The coreceptors bind to major histocompatibility complex (MHC) molecules and associate intracellularly with the Src-family kinase Lck, which catalyzes TCR phosphorylation during receptor triggering. Although coreceptor-kinase occupancy was initially believed to be high, a recent study suggested that most coreceptors exist in an Lck-free state, and that this low occupancy helps to effect TCR antigen discrimination. Here, using the same method, we found instead that the CD4-Lck interaction was stoichiometric (~100%) and that the CD8{beta}-Lck interaction was also substantial (~60%). We confirmed our findings in live cells using fluorescence cross-correlation spectroscopy (FCCS) to measure coreceptor-Lck co-diffusion in situ. After introducing structurally guided mutations into the intracellular domain of CD4, we used FCCS to show that stoichiometric Lck coupling required an amphipathic -helix present in CD4 but not CD8. In double-positive cells expressing equal numbers of both coreceptors, but limiting amounts of kinase, CD4 out-competed CD8{beta} for Lck. In T cells, TCR signaling induced CD4-Lck oligomerization but did not affect the high levels of CD4-Lck occupancy. These findings help settle the question of kinase occupancy and suggest that the binding advantages that CD4 has over CD8 could be important when Lck levels are limiting. Significance statementCD4 and CD8{beta} are archetypal coreceptor proteins that potently enhance T-cell antigen sensitivity but how they function is still debated. A fundamental question that remains incompletely resolved is: what fractions of the coreceptors bind the signal-initiating kinase, Lck? Using in vitro assays and non-invasive fluorescence fluctuation spectroscopy in live cells, we show that most coreceptors are occupied by Lck at the surface of live cells. The structural basis for important differences in the kinase occupancy of CD4 and CD8{beta} is also identified. These results provide important context for refining current models of both TCR antigen recognition and cell fate decisions made during thymopoiesis.

immunology↗

resPAINT: Accelerating volumetric super-resolution localisation microscopy by active control of probe emission

Points for accumulation in nanoscale topography (PAINT) allows the acquisition of practically unlimited measurements in localisation microscopy. However, PAINT is inherently limited by unwanted background fluorescence at high probe concentrations, especially in large depth-of-field volumetric imaging techniques. Here we present reservoir-PAINT (resPAINT), in which we combine PAINT with active control of probe photophysics. In resPAINT, a reservoir of non-fluorescent activatable probes accumulate on the target, which makes it possible to drastically improve the localisation rate (by up to 50-fold) compared to conventional PAINT, without any compromise in contrast. By combining resPAINT with large depth-of-field microscopy, we demonstrate volumetric super-resolution imaging of entire cell surfaces. We then generalise the approach by implementing multiple switching strategies, including photoactivation and spontaneous blinking. We also implement alternative volumetric imaging modalities including the double-helix pointspread function, the tetrapod point-spread function and singlemolecule light field microscopy. Finally, we show that resPAINT can be used with a Fab to image membrane proteins, effectively extending the operating regime of conventional PAINT to encompass a larger range of biological interactions.

biophysics↗

Evidence for Deleterious Original Antigenic Sin in SARS-CoV-2 Immune Response

A previous report demonstrated the strong association between the presence of antibodies binding to an epitope region from SARS-CoV-2 nucleocapsid, termed Ep9, and COVID-19 disease severity. Patients with anti-Ep9 antibodies (Abs) had hallmarks of antigenic imprinting (AIM), including early IgG upregulation and cytokine-associated injury. Thus, the immunological memory of a previous infection was hypothesized to drive formation of suboptimal anti-Ep9 Abs in severe COVID-19 infections. This study identifies a putative primary antigen capable of stimulating production of cross-reactive, anti-Ep9 Abs. Binding assays with patient blood samples directly show cross-reactivity between Abs binding to Ep9 and only one bioinformatics-derived, homologous potential antigen, a sequence derived from the neuraminidase protein of H3N2 Influenza A virus. This cross-reactive binding is highly influenza strain specific and sensitive to even single amino acid changes in epitope sequence. The neuraminidase protein is not present in the influenza vaccine, and the anti-Ep9 Abs likely resulted from the widespread influenza infection in 2014. Therefore, AIM from a previous infection could underlie some cases of COVID-19 disease severity. ImportanceInfections with SARS-COV-2 result in diverse disease outcomes, ranging from asymptomatic to fatal. The mechanisms underlying different disease outcomes remain largely unexplained. Previously, our laboratory identified a strong association between the presence of an antibody and increased disease severity in a subset of COVID-19 patients. Here, we report that this severity-associated antibody cross-reacts with viral proteins from an influenza A viral strain from 2014. Therefore, we speculate that antibodies generated against previous infections, like the 2014 influenza A, play a significant role in directing some peoples immune responses against SARS-COV-2. Such understanding of the sources and drivers of COVID-19 disease severity can help early identification and pre-emptive treatment.

immunology↗

Aggregation and immobilisation of membrane proteins interplay with local lipid order in the plasma membrane of T cells

The quest for understanding of numerous vital membrane-associated cellular processes, such as signalling, has largely focussed on the spatiotemporal orchestration and reorganisation of the identified key proteins, including their binding and aggregation. Despite strong indications of the involvement of membrane lipid heterogeneities, historically often termed lipid rafts, their roles in many processes remain controversial and mechanisms elusive. Taking activation of T lymphocytes as an example, we here investigate membrane properties around the key proteins - in particular the T cell receptor (TCR), its main kinase Lck, and phosphatase CD45. We determine their partitioning and co-localisation in passive cell-derived model membranes (i.e. giant plasma-membrane vesicles, GPMVs), and explore their mobility and local lipid order in live Jurkat T cells using fluorescence correlation spectroscopy and spectral imaging with polarity-sensitive membrane probes. We find that upon aggregation and partial immobilisation, the TCR changes its preference towards more ordered lipid environments, which can in turn passively recruit Lck. We observe similar aggregation-induced local membrane ordering and recruitment of Lck also by CD45, as well as by a membrane protein of antigen-presenting cells, CD86, which is not supposed to interact with Lck directly. This highlights the involvement of lipid-mediated interactions and suggests that the cellular membrane is poised to modulate the frequency of protein encounters according to their aggregation state and alterations of their mobility, e.g. upon ligand binding.

biophysics↗

Antibody Response to a Nucleocapsid Epitope as a Marker for COVID-19 Disease Severity

Effective methods for predicting COVID-19 disease trajectories are urgently needed. Here, ELISA and coronavirus antigen microarray (COVAM) analysis mapped antibody epitopes in the plasma of COVID-19 patients (n = 86) experiencing a wide-range of disease states. The experiments identified antibodies to a 21-residue epitope from nucleocapsid (termed Ep9) associated with severe disease, including admission to the ICU, requirement for ventilators, or death. Importantly, anti-Ep9 antibodies can be detected within six days post-symptom onset and sometimes within one day. Furthermore, anti-Ep9 antibodies correlate with various comorbidities and hallmarks of immune hyperactivity. We introduce a simple-to-calculate, disease risk factor score to quantitate each patients comorbidities and age. For patients with anti-Ep9 antibodies, scores above 3.0 predict more severe disease outcomes with a 13.42 Likelihood Ratio (96.7% specificity). The results lay the groundwork for a new type of COVID-19 prognostic to allow early identification and triage of high-risk patients. Such information could guide more effective therapeutic intervention. Significance statementThe COVID-19 pandemic has resulted in over two million deaths worldwide. Despite efforts to fight the virus, the disease continues to overwhelm hospitals with severely ill patients. Diagnosis of COVID-19 is readily accomplished through a multitude of reliable testing platforms; however, prognostic prediction remains elusive. To this end, we identified a short epitope from the SARS-CoV-2 nucleocapsid protein and also a disease risk factor score based upon comorbidities and age. The presence of antibodies specifically binding to this epitope plus a score cutoff can predict severe COVID-19 outcomes with 96.7% specificity.

immunology↗

Robust T-cell signaling triggered on soft polydimethylsiloxane-supported lipid-bilayers

The T-cell receptor (TCR) is thought to be triggered either by mechano-transduction or local tyrosine phosphatase exclusion at cell-cell contacts. However, the effects of the mechanical properties of activating surfaces have only been tested for late-stage T-cell activation, and phosphatase segregation has mostly been studied on glass-supported lipid bilayers that favor imaging but are orders-of-magnitude stiffer than typical cells. We developed a method for attaching lipid bilayers to polydimethylsiloxane polymer supports, producing soft bilayers with physiological levels of mechanical resistance (Youngs modulus of 4 kPa). Comparisons of T-cell behavior on soft and glass-supported bilayers revealed that early calcium signaling is unaffected by substrate rigidity, implying that early steps in TCR triggering are not mechanosensitive. Robust phosphatase exclusion was observed on the soft bilayers, however, suggesting it likely occurs at cell-cell contacts. This work sets the stage for an imaging-based exploration of receptor signaling under conditions closely mimicking physiological cell-cell contact.

biophysics↗

The costs of close contact: Visualizing the energy landscape of cell contacts at the nanoscale

Cell-cell contact often underpins signalling between cells. Contact is mediated by proteins on both cells creating interfaces with gap sizes typically around 14 nm. Protein binding and accumulation leads to the contact becoming crowded, reducing the rate of protein diffusion, even for unbound proteins. Here we show that, by tracking quantum dots of different dimensions for extended periods of time, it is possible to obtain the probability of a molecule entering the contact, the change in its diffusion upon entry and the impact of spatial heterogeneity of adhesion protein density in the contact. By analysing the contacts formed by a T cell interacting with adhesion proteins anchored to a supported lipid bilayer, we find that probes are excluded from contact entry in a size-dependent manner for gap-to-probe differences of 4.1 nm. We also observe probes being trapped inside the contact and a decrease in diffusion of up to 85% in dense adhesion protein contacts. This approach provides new insights into the nature of cell-cell contacts, revealing that cell contacts are highly heterogeneous, due to topography- and protein density-related processes. These effects are likely to profoundly influence signalling between cells.\n\nStatement of SignificanceThe spatial distribution and diffusion of proteins has been shown to be important for various signalling machineries. As such size-dependent reorganisation of proteins in the immune cell-contact has been shown to affect activation of immune cells. While these studies relied on bulk measurements to investigate protein exclusion, small scale topographical changes and protein dynamics could not be evaluated. However, recent studies show that T cell activation is mediated by nanoscale structures. In our study the use molecular probes of various sizes to investigate the energy landscape of single molecules in a cell contact. This provides additional information and insights which cannot be determined by performing bulk experiments alone indicates.

biophysics↗

A novel role for Myosin-Va in mitochondrial fission

In cancer cells metabolic changes and mitochondrial morphology are coupled. It is known that the cytoskeleton and molecular motors are directly involved in regulating mitochondrial morphology. Here we show that myosin-Va, an actin-based molecular motor, is required for the malignant properties of melanoma cells and localizes to mitochondria in these cells. Knockdown of myosin-Va increases cellular respiration rates and ROS production and decreases glucose uptake and lactate secretion. In addition, knockdown of myosin-Va results in reduced mitochondrial fission and correspondingly elongated mitochondria. We show that myosin-Va interacts with the mitochondrial outer membrane protein Spire1C, an actin-regulatory protein implicated in mitochondrial fission, and that Spire1C recruits myosin-Va to mitochondria. Finally, we show that during mitochondrial fission myosin-Va localization to mitochondria increases, and that myosin-Va localizes to mitochondrial fission sites immediately adjacent to Drp1 punctae. We conclude that myosin-Va facilitates mitochondrial fission. These data implicate myosin-Va as a target for the Warburg effect in melanoma cells.\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC=\"FIGDIR/small/655803v1_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (35K):\norg.highwire.dtl.DTLVardef@1130e72org.highwire.dtl.DTLVardef@196619org.highwire.dtl.DTLVardef@17e09edorg.highwire.dtl.DTLVardef@1bdc311_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

A haplotype-resolved draft genome of the European sardine (Sardina pilchardus)

BackgroundThe European sardine (Sardina pilchardus Walbaum, 1792) has a high cultural and economic importance throughout its distribution. Monitoring studies of sardine populations report an alarming decrease in stocks due to overfishing and environmental change, which has resulted in historically low captures along the Iberian Atlantic coast. Consequently, there is an urgent need to better understand the causal factors of this continuing decrease in the sardine stock. Important biological and ecological features such as levels of population diversity, structure, and migratory patterns can be addressed with the development and use of genomics resources.\n\nFindingsThe sardine genome of a single female individual was sequenced using Illumina HiSeq X Ten 10X Genomics linked-reads generating 113.8 Gb of data. Three draft genomes were assembled: two haploid genomes with a total size of 935 Mbp (N50 103Kb) each, and a consensus genome with a total size of 950 Mbp (N50 97Kb). The genome completeness assessment captured 84% of Actinopterygii Benchmarking Universal Single-Copy Orthologs. To obtain a more complete analysis, the transcriptomes of eleven tissues were sequenced and used to aid the functional annotation of the genome, resulting in 40 777 genes predicted. Variant calling on nearly half of the haplotype genome resulted in the identification of more than 2.3 million phased SNPs with heterozygous loci.\n\nConclusionsA draft genome was obtained with the 10X Genomics linked-reads technology, despite a high level of sequence repeats and heterozygosity that are expected genome characteristics of a wild sardine. The reference sardine genome and respective variant data are a cornerstone resource of ongoing population genomics studies to be integrated into future sardine stock assessment modelling to better manage this valuable resource.

genomics↗

Chikungunya in Colombia: a description of an epidemic within the framework of a COPCORD study

During 2014 and 2015 the chikungunya virus reached Colombia unleashing an epidemic that spread throughout the whole territory. Concurrently, the Colombian Rheumatology Association was conducting a Community Oriented Program for Control of Rheumatic Diseases (COPCORD) to establish rheumatic disease prevalence in the country. Chikungunya infected patients were identified within the COPCORD population. The aim of this study was to describe the demographics, clinical characteristics and disability of patients with clinical suspicion of chikungunya infection. To confirm chikungunya infection, ELISA IgM and IgG serology was performed. From the 6528-surveyed people of the COPCORD study, 548 where included in the study because of clinical suspicion of chikungunya virus infection. Of those, 295 were positive for IgG or IgM chikungunya serology with 151 patients fulfilling WHO clinical criteria for chikungunya infection (true positives). Most patients were > 45 years (57.7%), and females (69.7%). Patients with low income and low socio-economic strata had increased risk of chikungunya infection (p = 0.00; OR: 2.36, CI: 1.47-3.77 and p = 0.00; OR: 2.81, CI: 1.90-4.17 respectively). True positive patients were associated with symmetric arthritis (p = 0.00; OR: 22.49, CI: 12.71-39.80) of ankles (p = 0.00; OR: 16.06, CI: 7.57-34.08), hands (p = 0.00; OR: 16.12, CI: 8.25-39.79), feet (p = 0.00; OR: 16.35, CI: 7.41-36.05) and elbows (p = 0.00; OR: 14.00, CI: 3.03-64.70). Most patients developed mild to moderate disability (95.2 to 100%). Our study showed that poverty and low socioeconomic status are associated with increased risk of chikungunya infection. Also, we found two distinctive phenotypes of chikungunya infection; those with positive chikungunya serology and typical clinical symptoms (true positives) and those with positive serology without clinical symptoms (false negatives). Finally, a distinctive clinical picture presented by chikungunya infected patients was found which should be considered as the hallmark for diagnostic clinical criteria.

epidemiology↗

Hydrodynamic trapping measures the interaction between membrane-associated molecules

How membrane proteins distribute and behave on the surface of cells is determined by the molecules interaction potential. However, measuring this potential, and how it varies with protein-to-protein distance, has been challenging. We here present how a method we call hydrodynamic trapping can achieve this. Our method uses the focused liquid flow from a micropipette to locally accumulate molecules protruding from a lipid membrane. The interaction potential, as well as information about the dimensions of the studied molecule, are obtained by relating the degree of accumulation to the strength of the trap. We have used this to study four representative proteins, with different height-to-width ratios and protein properties; from the globular streptavidin, to the rod-like immune cell proteins CD2, CD4 and CD45. The obtained data illustrates how protein shape, glycosylation and flexibility influence the behaviour of membrane proteins as well as underline the general applicability of the method.

biophysics↗

Reconstitution of immune cell interactions in free-standing membranes

The spatiotemporal regulation of signalling proteins at the contacts formed between immune cells and their targets determines how and when immune responses begin and end. It is important, therefore, to be able to elucidate molecular processes occurring at these interfaces. However, the detailed investigation of each components contribution to the formation and regulation of the contact is hampered by the complexity of cellular composition and architecture. Moreover, the transient nature of these interactions creates additional challenges, especially for using advanced imaging technology. One approach to circumventing these problems is to establish in vitro systems that faithfully mimic immune cell interactions, incorporating complexity that can be dialled-in as needed. Here, we present an in vitro system making use of synthetic vesicles that mimic important aspects of immune cell surfaces. Using this system, we begin to investigate the spatial distribution of signalling molecules (receptors, kinases and phosphatases) and the intracellular rearrangements that accompany the initiation of signalling in T cells. The model system presented here is expected to be widely applicable.\n\nSummary StatementImmune cell-cell interactions are reconstituted in free-standing vesicles wherein spatiotemporal aspects of immune synapse formation can be investigated.

immunology↗