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Barahtjan, P.

Publications and source records attributed to Barahtjan, P..

5 recordsLinked to original sources

GEQO biosensors for absolute analyte quantification in single cells

Genetically encoded fluorescent biosensors are widely used to monitor small molecule and ion levels in living cells. Quantitative FRET and FLIM sensors and highly sensitive intensiometric sensors have been developed for many analytes. Notwithstanding notable advances over the last years, a universal high-performance sensor design for absolute quantification that does not require specialized equipment has yet to be developed. We here report the GEQO platform of quantitative biosensors featuring calcium, ATP, cAMP, and organelle-specific variants. We used GEQO sensors to follow calcium and cAMP transients in immortalised cells, human pancreatic progenitor cells, and zebrafish embryos. We show that GEQO-based absolute quantification allows to account for analyte buffering and retains information in time trace data lost during relative quantification. GEQO biosensors will enable quantitative analyte measurements across a wide range of imaging platforms, a key prerequisite for diagnostic applications and quantitative approaches in basic cell biology.

cell biology↗

Disruption of Plasma Membrane Lipid Asymmetry Alters Cellular Energetics

Biological membranes often feature an unequal and actively maintained concentration gradients of lipids between bilayer leaflets, termed lipid asymmetry.1-3 Lipid asymmetry has been linked to many cellular processes4,5, but the mechanisms that connect lipid trans-bilayer concentration gradients to cellular functions are poorly understood. Here we systematically map the cellular processes affected by dysregulation of lipid asymmetry by knocking out flippases, floppases, and scramblases in mammalian cells. We identify broad alterations to core metabolic pathways including nutrient uptake, neutral lipid turnover, pentose phosphate pathway and glycolysis. Lipidomics, respirometry, lipid and metabolic imaging, and live-cell calorimetry revealed elevated neutral lipid and ATP consumption rates which are coupled with increased heat loss per unit of biomass synthesized despite slower growth. This suggests that compensatory maintenance of lipid asymmetry strains the cellular energy budget, inducing a shift from a growth-promoting anabolic to a more energy-using catabolic state. Our data indicate that lipid asymmetry and its active maintenance is key for proper cell energetics, highlighting its putative role as a cellular store of potential energy akin to proton and ion transmembrane gradients.

cell biology↗

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↗

Bifunctional Monosaccharides Preferentially Localize to Nuclear Subcompartments

Recent progress in glycan research has been driven by widespread implementations of metabolic oligosaccharide engineering. Complementing existing approaches, we here introduce bifunctional, UV-crosslinkable and clickable N-acetylglucosamine and N-acetylgalactosamine analogues, which enable direct visualization of the intracellular probe distribution as well as distinguishing monomeric and macromolecule-bound fractions. Using this feature, we find that monomeric N-acetylmonosaccharides partition into RNA-rich nuclear compartments such as nuclear speckles and nucleoli. This suggests the existence of spatially separated N-acetylmonosccharide pools within the nucleoplasm. Taken together, bifunctional N-acetylmonosaccharide probes are a powerful discovery tool for probing intracellular localization of monosaccharides and glycosylated macromolecules.

biochemistry↗

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↗