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Sing, J.

Publications and source records attributed to Sing, J..

3 recordsLinked to original sources

An atlas of microtubule lattice parameters regulated through ligand binding to the microtubule stabilizing sites.

Microtubules (MTs) are dynamic cytoskeletal polymers whose lattice architecture regulates force generation, nucleotide hydrolysis, and recognition by motor proteins and microtubule-associated proteins (MAPs). Microtubule-stabilizing agents (MSAs), including taxanes and laulimalide/peloruside-site ligands, suppress depolymerization by binding to defined lattice sites, yet stabilization is not structurally neutral. How ligand chemistry reshapes lattice organization and function remains unresolved. Here, we address three mechanistic questions. First, do distinct ligand classes induce defined lattice states? Using X-ray fiber diffraction, we show that MSAs selectively stabilize two preferred longitudinal conformations, a compact state ([~]4.06 nm monomer rise) and an expanded state ([~]4.17 nm), while modulating lateral organization reflected in shifts in mean MT radius. These axial spacings cluster around discrete values across chemotypes, indicating stabilization of pre-existing conformational minima rather than continuous distortion. Second, are these states interconvertible upon changes in ligand occupancy? Time-resolved diffraction reveals that longitudinal transitions occur within seconds of ligand addition even at substoichiometric occupancy; whereas, lateral equilibration proceeds slower, consistent with redistribution within heterogeneous protofilament organizations. Third, do such structural states alter nucleotide hydrolysis and motor/MAP behavior? Expanded lattices are associated with reduced apparent GTP hydrolysis rates under steady-state assembly conditions and altered kinesin motility, whereas compact lattices preferentially promote tau binding and distinct motor interaction profiles. Together, these findings establish longitudinal lattice conformation as a regulatory parameter and position microtubule-stabilizing agents as chemical tools that bias a dynamic structural landscape with predictable catalytic and transport consequences. Significance statementMicrotubules generate force and support intracellular transport through lattice geometries selectively recognized by motor proteins and microtubule-associated proteins. Microtubule-stabilizing drugs such as taxanes and epothilones are widely used in chemotherapy but can cause neurotoxicity, likely because stabilization alters lattice architecture rather than simply preventing depolymerization. Here, we show that stabilizing ligands bias microtubules between two preferred longitudinal conformations, compact and expanded, that can switch within seconds of binding, while lateral organization adjusts slower. These structural states differentially regulate GTP hydrolysis and recognition by tau and kinesin, linking lattice geometry to catalytic and transport functions. By establishing lattice conformation as a tunable regulatory parameter, this work provides a framework for interpreting drug effects and designing structure-selective stabilizers with improved therapeutic profiles.

biophysics↗

Signal Alignment Enables Analysis of DIA Proteomics Data from Multisite Experiments

DIA has become a mainstream method for quantitative proteomics, however consistent quantification across multiple LC-MS/MS instruments remains a bottleneck in parallelizing the data-acquisition. To produce a highly consistent and quantitatively accurate data matrix, we have developed DIAlignR which uses raw fragment-ion chromatograms for cross-run alignment. Its performance on a gold standard annotated dataset, demonstrates a threefold reduction in the identification error-rate when compared to standard non-aligned DIA results. A similar performance is achieved for a dataset of 229 runs acquired using 11 different LC-MS/MS setups. Finally, the analysis of 949 plasma runs with DIAlignR increased the number of statistically significant proteins by 43% and 62% for insulin resistant (IR) and respiratory viral infection (RVI), respectively compared to prior analysis without it. Hence, DIAlignR fills a gap in analyzing DIA runs acquired in-parallel using different LC-MS/MS instrumentation.

bioinformatics↗

DrawAlignR: An interactive tool for across run chromatogram alignment visualization

Multi-run alignment is widely used in proteomics to establish analyte correspondence across runs. Generally alignment algorithms return a cumulative score, which may not be easily interpretable for each peptide. Here we present a novel tool, DrawAlignR, to visualize each chromatographic alignment for DIA/SWATH data. Furthermore, we have developed a novel C++ based implementation of raw chromatogram alignment which is 35 times faster than the previously published algorithm. This not only enables users to plot alignment interactively by DrawAlignR, but also allows other software platforms to use the algorithm. DrawAlignR is an open-source web application using R Shiny that can be hosted using the source-code available at https://github.com/Roestlab/DrawAlignR.

bioinformatics↗