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Yucknovsky, A.

Publications and source records attributed to Yucknovsky, A..

2 recordsLinked to original sources

Nanopore-based sequence deconvolution of diverse glycosaminoglycans

Glycosaminoglycan (GAG) polysaccharides play vital roles in animal physiology and disease1. Their diverse and intricate patterns of sulfation and epimerization endow them with an extensive potential to encode functional information2,3. GAG characterization, however, remains a formidable challenge for state-of-the-art ensemble-based techniques4,5. Single-molecule techniques are uniquely suited for analysing complex mixtures6,7. Here, we report the single-molecule resolution and counting of diverse GAG di- and oligosaccharides derived from longer heterogeneous chains as part of a deconvolutive nanopore-based workflow that requires no fractionation and is operationally simple. Modular chemical deacylation and amino-selective ring-contractive formation of electrophilic aldehydes enable the parsing of libraries of GAG structures into simplified sets of reactive anhydrosugars for nanopore readout via reversible covalent adduct formation. Discrete clustering of event amplitudes enables direct sugar sizing ([~]10 % step change per residue), which can be coupled to precisely resolved amplitude differences that further reveal sugar fine structure--including the number and position of sulfate groups ([~]2 % step change per sulfate) alongside single- atom stereochemistry ([~]0.5 % step change between epimers). Guided by chemical logic, the reverse mapping of resolved anhydrosugars to their precursors covers [~]84-100 % of all disaccharides and their eliminative digestion variants in natural heparan sulfate (HS). We demonstrate the practical utility and scope of our approach through the compositional analysis of a panel of HS polysaccharides that together encompass natural GAG structural diversity. Moreover, we detect contaminants in heparin, including oversulfated chondroitin sulfate found in an authentic pharmaceutical heparin sample previously implicated in a global healthcare crisis. Together, our results suggest a general chemo-biophysical framework for the precise and sensitive characterization of GAGs that extends to other aminosugar biopolymers. When adapted for portable, widely used nanopore sequencing devices, our approach may offer a path towards the long-sought democratization of glycan analysis.

biochemistry↗

The interplay between proton diffusion across biological membranes and their biophysical properties highlights the role of defects in mixed lipid membranes

Proton circuits within biological membranes are at the heart of natural bioenergetic systems, whereas different biological membranes are characterized by different lipid compositions. In this study, we investigate how the composition of mixed lipid membranes influences the proton transfer (PT) properties of the membrane by following the excited-state PT (ESPT) process from a tethered probe to the membrane with time-scales and length-scales of PT that are relevant to bioenergetic systems. Two processes can happen during ESPT: the initial PT from the probe to the membrane at short timescales, followed by diffusion of dissociated protons around the probe on the membrane, and the possible geminate recombination with the probe at longer timescales. Here, we use membranes that are composed of mixtures of phosphatidylcholine (PC) and phosphatidic acid (PA). We show that the changes in the ESPT properties are not monotonous with the concentration of the lipid mixture; at low concentration of PA in PC, we find that the membrane is a poor proton acceptor. Molecular dynamics simulations indicate that at this certain lipid mixture, the membrane has the least defects (more structured and unflawed). Accordingly, we suggest that defects can be an important factor in facilitating PT. We further show that the composition of the membrane affects the geminate proton diffusion around the probe, whereas, on a time-scale of tens of nanoseconds, the dissociated proton is mostly lateral restricted to the membrane plane in PA membranes, while in PC, the diffusion is less restricted by the membrane.

biophysics↗