Biology subjects

Omar, A.

Publications and source records attributed to Omar, A..

3 recordsLinked to original sources

bioRxiv2026

Native oligomerisation of a small type I antifreeze protein from winter flounder

Antifreeze proteins and peptides adhere to ice crystals and inhibit their growth, resulting in freezing point depression. AFP6 is an abundant antifreeze peptide in the blood serum of winter flounder (Pseudopleuronectes americanus). This 37-residue peptide forms an amphiphilic -helix with a hydrophobic ice-binding surface. In this study, prediction of the peptide structure suggested the formation of an antiparallel dimer burying the hydrophobic surfaces of both subunits. The oligomerisation of AFP6 was therefore examined in aqueous solutions using size-exclusion chromatography and chemical crosslinking along with ice-binding evaluation. Crosslinking of non-amidated AFP6, followed by denaturing electrophoresis, revealed bands consistent with monomers and dimers, whereas results for the amidated form and a recombinant mutant suggested additional larger forms. Bands consistent with the presence of monomers and dimers were also predominant following non-amidated AFP6 crosslinking under a variety of solution conditions, with smaller proportions of peptide assembled up to tetrameric sizes; however, the larger oligomers appeared to be absent from AFP6 treated with sodium bicarbonate. Isolated oligomers of non-amidated AFP6 produced ice crystal morphologies and thermal hysteresis comparable to those for the unfractionated peptide suggesting similar interaction with ice. Oligomerisation of AFP6 may allow greater solubility of this amphiphilic -helical peptide in aqueous solutions.

biochemistry↗

bioRxiv2026

HSSM: A Widely Applicable Toolbox for Hierarchical Bayesian Neuro-cognitive Modeling

Computational models are central to cognitive neuroscience, but their rigorous application to experimental datasets is often constrained to a narrow set of canonical models that afford tractable analytical computations. We introduce the HSSM (Hierarchical Sequential Sampling Model) ecosystem, a Python toolbox that democratizes access to a broad, extensible array of neurocognitive process models through hierarchical Bayesian inference. Naturally leveraging simulation-based inference via likelihood surrogates, HSSM enables fast parameter estimation for models lacking closed-form likelihoods. Built atop PyMC and Bambi, HSSM provides a user-friendly formula syntax for specifying hierarchical mixed-effects regressions on model parameters, incorporating trial-by-trial neural or physiological covariates. The ecosystem allows fast model simulation and training data generation, as well as the neural network training utilities to deploy surrogate likelihood networks via HuggingFace. Contributions are designed to benefit not only the single researcher working on a problem, but organically, the entire research community. Together, the tools in the HSSM ecosystem bridge the interests of computational theorists as well as experimentalists, accelerating the cycle from model development to rigorous empirical testing.

neuroscience↗

bioRxiv2023

Efficient generation of transgene-free canker-resistant Citrus sinensis using Cas12a/crRNA ribonucleoprotein

Citrus is one of the top three tree crops in the world and its production faces many devastating disease challenges such as citrus canker caused by Xanthomonas citri subsp. citri (Xcc). Genetic improvement of citrus via traditional approaches is a lengthy (approximately 20 years) and laborious process. Biotechnological approaches including CRISPR genome editing technologies have shown promise. However, none of the citrus plants generated by biotechnological approaches have been commercialized, which primarily resulted from the transgenic nature of the genetically modified plants. Here, we successfully developed transgene-free canker-resistant Citrus sinensis lines in the T0 generation within 10 months through transformation of embryogenic citrus protoplasts with Cas12a/crRNA ribonucleoprotein (RNP) to edit the canker susceptibility gene CsLOB1. Among the 39 regenerated lines, 38 are biallelic/homozygous mutants based on Sanger sequencing analysis of targeting sites and whole genome sequencing, demonstrating a 97.4% biallelic/homozygous mutation rate. The edited lines do not contain off-target mutations. The CsLOB1 edited C. sinensis lines demonstrate no differences from wild type plants except canker resistance. Importantly, the transgene-free canker-resistant C. sinensis lines have received regulatory approval by USDA APHIS. This study presents an efficient genome editing approach for citrus using Cas12a/crRNA RNP, which has a broad impact on genetic improvement of elite citrus varieties and potentially other tree crops and their genetic study. This study represents a breakthrough by generating the first transgene-free canker-resistant C. sinensis lines that provide a sustainable and efficient solution to control citrus canker.

bioengineering↗