Biology subjects

Lennartz, H. M.

Publications and source records attributed to Lennartz, H. M..

5 recordsLinked to original sources

bioRxiv2025

Quantification of lipid sorting during clathrin-mediated endocytosis

Clathrin-mediated endocytosis is a major transport route for proteins from the plasma membrane to the interior of the cell. While the recruitment of cargo proteins to clathrin-coated pits is well understood, it remains an open question if lipids are also sorted by this process. To address this question, we combined super-resolution STED imaging of bifunctional lipid probes with mathematical modeling. Quantification of 10 different lipid species revealed significant differences in pit partitioning, ranging from slight enrichment to moderate exclusion. We find that the lipid asymmetry in the plasma membrane is sufficient to explain the observed trend. Taken together, our findings imply that clathrin-mediated endocytosis has a minor selectivity for cytoplasmic leaflet lipids, but overall does not significantly contribute to lipid sorting compared to non-vesicular trafficking. More broadly, we believe that lipid super-resolution imaging will be a powerful approach to quantify lipid partitioning into membrane structures in cells.

cell biology↗

bioRxiv2025

Visualizing sub-organellar lipid distribution using correlative light and electron microscopy

Lipids and proteins compartmentalize biological membranes into nanoscale domains which are crucial for signaling, intracellular trafficking and many other cellular processes. Studying nanodomain function requires the ability to measure protein and lipid localization at the nanoscale. Current methods for visualizing lipid localization do not meet this requirement. Here, we introduce a correlative light and electron microscopy workflow to image lipids (Lipid-CLEM), combining near-native lipid probes and on-section labeling by click chemistry. This approach enables the quantification of relative lipid densities in membrane nanodomains. We find differential partitioning of sphingomyelin into intraluminal vesicles, recycling tubules, and the boundary membrane of the early endosome, representing a degree of nanoscale organization previously observed only for proteins. We anticipate that our Lipid-CLEM workflow will greatly facilitate the mechanistic analysis of lipid functions in cell biology, allowing for the simultaneous investigation of proteins and lipids during membrane nanodomain assembly and function.

cell biology↗

bioRxiv2024

Bifunctional probes reveal the rules of intracellular ether lipid transport

Ether glycerophospholipids bear a long chain alcohol attached via an alkyl or vinyl ether bond at the sn1 position of the glycerol backbone. Emerging evidence suggests that ether lipids play a significant role in physiology and human health but their precise cellular functions remain largely unknown. Here, we introduce bifunctional ether lipid probes bearing diazirine and alkyne groups to study ether lipid biology. To interrogate the kinetics of intracellular ether lipid transport in mammalian cells we used a combination of fluorescence imaging, machine learning-assisted image analysis and mathematical modelling. We find that alkyl-linked ether lipids are transported up to twofold faster than vinyl-linked plasmalogens, suggesting that the lipid transport machinery can distinguish between linkage types differing by as little as two hydrogen atoms. We find that ether lipid transport predominantly occurs via non-vesicular pathways, with varying contributions from vesicular mechanisms between cell types. Altogether, our results suggest that differential recognition of alkyl- and vinyl ether lipids by lipid transfer proteins contributes to their distinct biological functions. In the future, the probes reported here will enable studying ether lipid biology in much greater detail through identification of interacting proteins and in-depth characterization of intracellular ether lipid dynamics.

cell biology↗

bioRxiv2024

Quantitative imaging of species-specific lipid transport in mammalian cells

Eukaryotic cells produce over 1000 different lipid species which tune organelle membrane properties, control signalling and store energy1,2. How lipid species are selectively sorted between organelles to maintain specific membrane identities is largely unknown due to the difficulty to image lipid transport in cells3. Here, we measured transport and metabolism of individual lipid species in mammalian cells using time-resolved fluorescence imaging of bifunctional lipid probes in combination with ultra-high resolution mass spectrometry and mathematical modelling. Quantification of lipid flux between organelles revealed that directional, non-vesicular lipid transport is responsible for fast, species-selective lipid sorting compared to slow, unspecific vesicular membrane trafficking. Using genetic perturbations, we found that coupling between active lipid flipping and passive non-vesicular transport is a mechanism for directional lipid transport. Comparison of metabolic conversion and transport rates showed that non-vesicular transport dominates the organelle distribution of lipids while species-specific phospholipid metabolism controls neutral lipid accumulation. Our results provide the first quantitative map of retrograde lipid flux in cells4. We anticipate that our pipeline for quantitative mapping of lipid flux through physical and chemical space in cells will boost our understanding of lipids in cell biology and disease.

cell biology↗

bioRxiv2023

Quantifying single cell lipid signaling kinetics after photo-stimulation

Studying the role of molecularly distinct lipid species in cell signaling remains challenging due to a scarcity of methods for performing quantitative lipid biochemistry in living cells. We have recently used lipid uncaging to quantify lipid-protein affinities and rates of lipid transbilayer movement and turnover in the diacylglycerol signaling pathway using population average time series data. So far, this approach does not allow to account for the cell-to-cell variability of cellular signaling responses. We here report a framework that allows to uniquely identify model parameters such diacylglycerol-protein affinities and transbilayer movement rates at the single cell level for a broad variety of structurally different diacylglycerol species. We find that lipid unsaturation degree and longer side chains generally correlate with faster lipid transbilayer movement and turnover and higher lipid-protein affinities. In summary, our work demonstrates how rate parameters and lipid-protein affinities can be quantified from single cell signaling trajectories with sufficient sensitivity to resolve the subtle kinetic differences caused by the chemical diversity of cellular signaling lipid pools.

cell biology↗