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Biology subjects

Schneider, F.

Publications and source records attributed to Schneider, F..

28 records · Page 2Linked to original sources

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↗

CAP1 and cofilin1 cooperate in neuronal actin dynamics, growth cone function and neuron connectivity

Neuron connectivity depends on growth cones that navigate axons through the developing brain. Growth cones protrude and retract actin-rich structures to sense guidance cues. These cues control local actin dynamics and steer growth cones towards attractants and away from repellents, thereby directing axon outgrowth. Hence, actin binding proteins (ABPs) moved into the focus as critical regulators of neuron connectivity. We found cyclase-associated protein 1 (CAP1), an ABP with unknown brain function, abundant in growth cones. Super-resolution microscopy and live cell imaging combined with pharmacological approaches on hippocampal neurons from gene-targeted mice revealed a crucial role for CAP1 in actin dynamics that is critical for growth cone morphology and function. Growth cone defects in mutant neurons compromised neuron differentiation and was associated with impaired neuron connectivity in CAP1 mutant brains. Mechanistically, we found that CAP1 and cofilin1 synergistically control growth cone actin dynamic and morphology. Together, we identified CAP1 as a novel actin regulator in growth cone that is relevant for neuron connectivity.

neuroscience↗

Evaluation of the performance of SARS-CoV-2 serological tools and their positioning in COVID-19 diagnostic strategies.

Rapid and accurate diagnosis is crucial for successful outbreak containment. During the current coronavirus disease 2019 (COVID-19) public health emergency, the gold standard for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection diagnosis is the detection of viral RNA by reverse transcription (RT)-PCR. Additional diagnostic methods enabling the detection of current or past SARS-CoV-2 infection would be highly beneficial to ensure the timely diagnosis of all infected and recovered patients. Here, we investigated several serological tools, i.e., two immunochromatographic lateral flow assays (LFA-1 (Biosynex COVID-19 BSS) and LFA-2 (COVID-19 Sign IgM/IgG)) and two enzyme-linked immunosorbent assays (ELISAs) detecting IgA (ELISA-1 Euroimmun), IgM (ELISA-2 EDI) and/or IgG (ELISA-1 and ELISA-2) based on well-characterized panels of serum samples from patients and healthcare workers with PCR-confirmed COVID-19 and from SARS-CoV-2-negative patients. A total of 272 serum samples were used, including 62 serum samples from hospitalized patients (panel 1 and panel 3), 143 serum samples from healthcare workers (panel 2) diagnosed with COVID-19 and 67 serum samples from negative controls. Diagnostic performances of each assay were assessed according to days after symptom onset (dso) and the antigenic format used by manufacturers. We found overall sensitivities ranging from 69% to 93% on panels 1 and 2 and specificities ranging from 83% to 98%. The clinical sensitivity varied greatly according to the panel tested and the dso. The assays we tested showed poor mutual agreement. A thorough selection of serological assays for the detection of ongoing or past infections is advisable.

microbiology↗

Influence of nanobody binding on fluorescence emission, mobility and organization of GFP-tagged proteins

Advanced fluorescence microscopy studies require specific and monovalent molecular labelling with bright and photostable fluorophores. This necessity led to the widespread use of fluorescently labelled nanobodies against commonly employed fluorescent proteins. However, very little is known how these nanobodies influence their target molecules. Here, we observed clear changes of the fluorescence properties, mobility and organisation of green fluorescent protein (GFP) tagged proteins after labelling with an anti-GFP nanobody. Intriguingly, we did not observe any co-diffusion of fluorescently-labelled nanobodies with the GFP-labelled proteins. Our results suggest significant binding of the nanobodies to a non-emissive, oligomerized form of the fluorescent proteins, promoting disassembly into more monomeric forms after binding. Our findings show that great care must be taken when using nanobodies for studying dynamic and quantitative protein organisation.

biophysics↗

High photon count rate super-resolution fluorescence fluctuation spectroscopy

Probing the diffusion of molecules has become a routine measurement across the life sciences, chemistry and physics. It provides valuable insights into reaction dynamics, oligomerisation, molecular (re-)organisation or cellular heterogeneities. Fluorescence correlation spectroscopy (FCS) is one of the widely applied techniques to determine diffusion dynamics in two and three dimensions. This technique relies on the temporal autocorrelation of intensity fluctuations but recording these fluctuations has thus far been limited by the detection electronics, which could not efficiently and accurately time-tag photons at high count rates. This has until now restricted the range of measurable dye concentrations, as well as the data quality of the FCS recordings, especially in combination with super-resolution stimulated emission depletion (STED) nanoscopy. Here, we investigate the applicability and reliability of (STED-)FCS at high photon count rates (average intensities of up to 40 MHz) using novel detection equipment, namely hybrid detectors and real-time gigahertz sampling of the photon streams implemented on a commercial microscope. By measuring the diffusion of fluorophores in solution and cytoplasm of live cells, as well as in model and cellular membranes, we show that accurate diffusion and concentration measurements are possible in these previously inaccessible high photon count regimes. Specifically, it offers much greater flexibility of experiments with biological samples with highly variable intensity, e.g. due to a wide range of expression levels of fluorescent proteins. In this context, we highlight the independence of diffusion properties of cytosolic GFP in a concentration range of approx. 0.01-1 M. We further show that higher photon count rates also allow for much shorter acquisition times, and improved data quality. Finally, this approach also pronouncedly increases the robustness of challenging live cell STED-FCS measurements of nanoscale diffusion dynamics, which we testify by confirming a free diffusion pattern for a fluorescent lipid analogue on the apical membrane of adherent cells.

biophysics↗

Nanoscale dynamics of cholesterol in the cell membrane

Cholesterol constitutes approximately 30-40% of the mammalian plasma membrane -- a larger fraction than any other single component. It is a major player in numerous signalling processes as well as molecular membrane architecture. However, our knowledge on dynamics of cholesterol in the plasma membrane is limited which restricts our understanding of the mechanisms regulating its involvement in cell signalling. Here, advanced fluorescence imaging and spectroscopy approaches were applied on in vitro (model membranes) and in vivo (live cells and embryos) membranes to systematically study the nanoscale dynamics of cholesterol in biological membranes. The results show that cholesterol diffuses faster than phospholipids in live membranes, but not in model membranes. The data indicate that diffusion of cholesterol and phospholipids is not correlated with membrane domain partitioning. Instead, our data show that the fast diffusion of cholesterol is due to its nanoscale interactions and localization in the membrane.

biophysics↗

Iron-sequestering nanocompartments as multiplexed Electron Microscopy gene reporters

Multi-colored gene reporters such as fluorescent proteins are indispensable for biomedical research, but equivalent tools for electron microscopy (EM), a gold standard for deciphering mechanistic details of cellular processes1,2 and uncovering the network architecture of cell-circuits3,4, are still sparse and not easily multiplexable. Semi-genetic EM reporters are based on the precipitation of exogenous chemicals5-9 which may limit spatial precision and tissue penetration and can affect ultrastructure due to fixation and permeabilization. The latter technical constraints also affect EM immunolabeling techniques10-13 which may furthermore be complicated by limited epitope accessibility. The fully genetic iron storage protein ferritin generates contrast via its electron-dense iron core14-16, but its small size complicates differentiation of individual ferritin particles from cellular structures. To enable multiplexed gene reporter imaging via conventional transmission electron microscopy (TEM), we here introduce the encapsulin system of Quasibacillus thermotolerans (Qt) as a fully genetic iron-biomineralizing nanocompartment. We reveal by cryo-electron reconstructions that the Qt monomers (QtEnc) self-assemble to nanospheres with T=4 icosahedral symmetry and an ~44 nm diameter harboring two putative pore regions at the fivefold and threefold axes. We furthermore show that the native cargo (QtlMEF) auto-targets to the inner surface of QtEnc and exhibits ferroxidase activity leading to efficient iron sequestration inside mammalian cells. We then demonstrate that QtEnc can be robustly differentiated from the non-intermixing encapsulin of Myxococcus xanthus17 (Mx, ~32 nm) via a deep-learning model, thus enabling automated multiplexed EM gene reporter imaging in mammalian cells.

synthetic biology↗

Nanoscale spatio-temporal diffusion modes measured by simultaneous confocal and STED imaging

The diffusion dynamics in the cellular plasma membrane provides crucial insights into the molecular interactions, organization and bioactivity. Fluorescence correlation spectroscopy combined with super-resolution stimulated emission depletion nanoscopy (STED-FCS) measures such dynamics with high spatial and temporal resolution and reveals nanoscale diffusion characteristics by measuring the molecular diffusion in conventional confocal mode and super-resolved STED mode sequentially. However, to directly link the spatial and the temporal information, a method that simultaneously measures the diffusion in confocal and STED modes is needed. Here, to overcome this problem, we establish an advanced STED-FCS measurement method; line interleaved excitation scanning STED-FCS (LIESS-FCS) which discloses the molecular diffusion modes at different spatial positions with a single measurement. It relies on fast beam-scanning along a line with alternating laser illumination that yields, for each pixel, the apparent diffusion coefficients for two different observation spot sizes (conventional confocal and super-resolved STED). We demonstrate the potential of the LIESS-FCS approach with simulations and experiments on lipid diffusion in model and live cell plasma membranes. We also apply LIESS-FCS to investigate the spatio-temporal organization of GPI-anchored proteins in the plasma membrane of live cells which interestingly show multiple diffusion modes at different spatial positions.

biophysics↗

Advanced processing and analysis of conventional confocal microscopy generated scanning FCS data

Scanning Fluorescence Correlation Spectroscopy (scanning FCS) is a variant of conventional point FCS that allows molecular diffusion at multiple locations to be measured simultaneously. It enables disclosure of potential spatial heterogeneity in molecular diffusion dynamics and also the acquisition of a large amount of FCS data at the same time, providing large statistical accuracy. Here, we optimize the processing and analysis of these large-scale acquired sets of FCS data. On one hand we present FoCuS-scan, scanning FCS software that provides an end-to-end solution for processing and analysing scanning data acquired on commercial turnkey confocal systems. On the other hand, we provide a thorough characterisation of large-scale scanning FCS data over its intended time-scales and applications and propose a unique solution for the bias and variance observed when studying slowly diffusing species. Our manuscript enables researchers to straightforwardly utilise scanning FCS as a powerful technique for measuring diffusion across a broad range of physiologically relevant length scales without specialised hardware or expensive software.

biophysics↗

Polarity sensitive probes for super resolution STED microscopy

The lateral organization of molecules in the cellular plasma membrane plays an important role in cellular signaling. A critical parameter for membrane molecular organization is how the membrane lipids are packed (or ordered). Polarity sensitive dyes are powerful tools to characterize such lipid membrane order, employing for example confocal and two-photon microscopy. The investigation of potential lipid nanodomains, however, requires the use of super resolution microscopy. Here, we test the performance of the polarity sensitive membrane dyes Di-4-ANEPPDHQ, Di-4-AN(F)EPPTEA and NR12S in super resolution STED microscopy. Measurements on cell-derived membrane vesicles, in the plasma membrane of live cells, and on single virus particles show the high potential of these dyes for probing nanoscale membrane heterogeneity.

biophysics↗