Biology subjects

Mathur, N.

Publications and source records attributed to Mathur, N..

5 recordsLinked to original sources

bioRxiv2026

Tubule extension by plastids is due to increase in bilayer-forming galactolipids at the outer envelope membrane

Sporadically, all plastids produce dynamic tubular extensions in response to myriad stresses. Although the use of fluorescent proteins revealed these transient tubules to be stroma-filled and led to their being called stromules, the mechanism underlying tubule extension from a spheroidal plastid remained unknown. As plastids in viridiplantae have two bounding membranes the fluid stroma remains confined within the inner envelope membrane (IEM) while the outer envelope membrane (OEM) around the IEM forms the interface with the rest of the cytoplasm. Here, using a sucrose treatment for inducing tubules in the dark in transgenic Arabidopsis plants expressing different stroma and OEM-targeted fluorescent proteins we carried out comparative molecular-genetic and lipidomics analyses. Our data strongly suggest that plastid tubule formation occurs due to increase in bilayer-forming galactolipids such as digalactosyldiacylglycerol (DGDG) on the OEM. While the dynamic behaviour of stromules occurs within an external encasing OEM, stresses such as phosphate starvation and high light intensity cause the galactolipid-rich OEM-tubule projecting beyond the stromule to be shed into the cytoplasm. OEM shedding from long tubules with extended plastid outreach into the cell suggests their important role in dispersing plastid-derived, membrane-stabilizing, galactolipids to the rest of the cell to augment its resilience to stress.

plant biology↗

bioRxiv2026

SOP-Multi-π: A Two-Site Coarse-Grained Model with Rescaled Aromatic Interactions to Bridge Single-Chain Ensembles and Condensate Phase Behavior of IDPs and Multidomain Proteins

We present SOP-Multi-{pi}, an enhanced version of the two-bead-per-amino-acid resolution Self-Organized Polymer (SOP) model designed to investigate the conformational dynamics of Intrinsically Disordered Proteins (IDPs) and their phase behavior in biomolecular condensates. The original SOP-IDP and SOP-Multi models work well for chains in good solvents that predominantly adopt expanded conformations. However, they fail to reproduce the single-chain properties and phase-separation behavior of IDPs such as hnRNPA1 and its variants, which have a distinct pattern of aromatic residues. We therefore reparameterized the SOP-IDP force field to explicitly capture {pi}-{pi} and cation-{pi} interactions at the coarse-grained (CG) resolution. These interactions are weak but important for biomolecular recognition and for driving and stabilizing biomolecular condensates. Dimensionless rescaling prefactors ({lambda}) were applied exclusively to the aromatic {pi}-{pi} (Phe, Tyr, Trp) and cation-{pi} (Arg/Lys with Phe, Tyr, Trp) pairs. They were optimized iteratively against experimental radii of gyration of the hnRNPA1 low-complexity domain (A1-LCD) and its 16 aromatic and charge mutants. This restored a physically meaningful Tyr > Phe interaction hierarchy, and the Pearson correlation for Rg improved from r = 0.07 (SOP-IDP) to r = 0.83 (RMSD = 0.08 nm). The same parameters, without further tuning, gave r = 0.93 for 34 additional IDPs (24-198 residues) and reproduced Flory scaling ( {nu} ~ 0.588). We back-mapped microsecond-scale CG ensembles to all-atom representations and computed SAXS and Kratky profiles for direct comparison with experiments on IDPs and on the multidomain proteins hnRNPA1, TDP-43, G3BP1, and FUS. In direct-coexistence slab simulations, the model captures the phase behavior of A1-LCD condensates and their variants, with critical temperatures that correlate strongly with experiment (r = 0.88) but are somewhat underestimated in absolute terms. The model is implemented in LAMMPS, and a detailed user manual is provided for setting up single-chain and multi-chain condensate simulations of full-length multidomain proteins.

biophysics↗

bioRxiv2026

Hyaluronan Surface Architecture Dictates Colorectal Cancer Progression and Extracellular Vesicle Communication

Hyaluronan (HA) is a principal component of the tumor glycocalyx in colorectal cancer (CRC). However, how the disease progression is linked to HA abundance and its nanoscale organization remains unclear. Single-molecule measurements of surface glycans on cell membranes and extracellular vesicles (EVs) have not yet been correlated. In this work, using single-molecule force spectroscopy, we mapped HA density and chain length on CRC cells and their EVs across Dukes' stages. HA density increased with stage in both compartments, but their organization diverged. Cell-surface HA became progressively fragmented, whereas EVs remained enriched in short HA chains at every stage. EVs, therefore, appear to select HA during formation rather than inherit it from the parent cell. This divergence had mechanical consequences. Both cells and EVs softened with stage, and removing HA reversed this softening. In addition, coarse-grained membrane simulations revealed that both HA chain length and surface density regulate membrane wrapping, with chain length primarily influencing wrapping kinetics and surface density affecting the final wrapping extent. These findings provide a physical basis for the differences we observed in EV uptake. Reprogramming stage D cells with exogenous high-molecular-weight HA reversed this signature, lowering EV surface HA density, stiffening the vesicles, slowing migration, and suppressing EV uptake by recipient cells. These findings establish HA surface architecture as a stage-encoded and experimentally reversible determinant of CRC progression.

biophysics↗

bioRxiv2026

Mutations in severe human H5N1 cases facilitate evasion from human mucus and antivirals

In late 2024, two individuals in Canada and the United States were treated in intensive care for acute respiratory distress caused by infection with the avian Influenza A Virus H5N1 2.3.4.4b genotype D1.1. Viral sequence data obtained from sampling these patients indicated mixed alleles at haemagglutinin (HA) positions 190 and 226. Mutations at these positions are key determinants of HA usage of 2,6-linked sialic acids (SA), the most abundant influenza receptors in human upper respiratory tracts. Thus, these mutations raised concerns about human adaptation and pandemic potential of the H5N1 virus. In this study, we investigated the impact of the mutations at residues 190 and 226 in H5 HA. We studied the receptor binding properties, cell entry phenotypes and fitness impacts of the mutations using recombinant proteins, pseudotyped lentiviruses, and in the context of influenza viruses using reverse genetics. The mutations did not confer any detectable 2,6-linked sialic acid receptor usage either alone or in combination. Rather, viruses carrying these mutations exhibit weakened binding towards 2,3-linked sialic acid receptors. This correlated with an enhanced capacity to evade human airway mucus, and a reduced susceptibility to oseltamivir and zanamivir. This research underscores that in addition to the way HA interacts with SA as entry receptors, other factors that impact the HA/NA balance might influence the evolutionary trajectory of a zoonotic virus in the human respiratory tract. This study presents a new paradigm for the evolutionary drivers of HA, where reduced sialic acid binding can serve as an advantage for escape from host barriers and antivirals.

microbiology↗

bioRxiv2020

Modeling the Impact of Lock-down on COVID-19 Spread in Malaysia

After a breakdown notified in Wuhan, China in December 2019, COVID-19 is declared as pandemic diseases. To the date more than 13 million confirmed cases and more than half a million are dead around the world. This virus also attached Malaysia in its immature stage where 8718 cases were confirmed and 122 were declared as death. Malaysia responsibly controlled the spread by enforcing MCO. Hence, it is required to visualize the pattern of Covid-19 spread. Also, it is necessary to estimate the impact of the enforced prevention measures. In this paper, an infectious disease dynamic modeling (SEIR) is used to estimate the epidemic spread in Malaysia. The main assumption is to update the reproduction number Rt with respect to the implemented prevention measures. For a time-frame of five month, the Rt was assumed to vary between 2.9 and 0.3. Moreover, the manuscript includes two possible scenarios: the first will be the extension of the stricter measures all over the country, and the second will be the gradual lift of the lock-down. After implementing several stages of lock-down we have found that the estimated values of the Rt with respect to the strictness degree varies between 0.2 to 1.1. A continuous strict lock-down may reduce the Rt to 0.2 and accordingly the estimated active cases will be reduced to 20 by the beginning of September 2020. In contrast, the second scenario considers a gradual lift of the enforced prevention measures by the end of June 2020, here we have considered three possible outcomes according to the MCO relaxation. Thus, the estimated values of Rt = 0.7, 0.9, 1.1, which shows a rapid increase in the number of active cases. The implemented SEIR model shows a close resemblance with the actual data recorded from 10, March till 7, July 2020. Author summaryConceptualization, A.A.A; methodology, A.A.A, N.M; validation, A.A.A, N.M; formal analysis, A.A.A; investigation, N.M, A.A.A; resources, G.E.M.A, L.T; data collection, L.T, N.M; writing--original draft preparation, A.A.A, L.T, G.E.M.A, N.M; writing--review and editing, V.S.A, S.C.D, B.S.G, P.S, S.A.B.M.Z, N.M; visualization, N.M; supervision, V.S.A; project administration, V.S.A. All authors have read and agreed to the published version of the manuscript

bioinformatics↗