Biology subjects

Anilkumar, A.

Publications and source records attributed to Anilkumar, A..

4 recordsLinked to original sources

bioRxiv2026

Ultra-precision 3D Printed Sample Tubes of Complex Cross Section for Enhanced Electron Paramagnetic Resonance Sensitivity of AqueousSamples

This paper discusses the applications of ultra-precision 3D printing in developing EPR sample tubes for X-band measurements of aqueous samples. The seed idea of this work started from the flat cell idea discussed in Mett and Hyde et al.(2003), Sidabras et al. (2005), and Sidabras et al. (2017), where placing multiple aqueous flat cells perpendicular to the electric field in the microwave cavity reduce RF losses and improve EPR signal sensitivity. In this work, we present the 3D printed aquastar sample holders for dielectric resonators and the aquasun sample holders for cavity resonators. Even though the ultra-precision 3D printing enables the fabrication of complex cross-sections at 25um resolution, the photopolymer material has comparatively higher dielectric losses compared to the conventional materials like glass and PTFE. To reduce the RF losses due to the inherent dielectric properties, we introduced the latticing approach in reducing the amount of plastic without compromising the structural stability. In addition to this, we present the slicing and dielectric approximation approach in reducing the computation cost for these complex cross-sections. The novel sample tubes discussed here present signal improvements through both simulation and experiments, which were validated through power saturation experiments. The sample tube development methodology presented here provide a general framework for designing and implementing 3D printed EPR sample holders, based on resonator electromagnetic field distribution and dielectric properties of the photopolymer material.

biophysics↗

bioRxiv2026

Experimental breeding reveals mating patterns and F1 phenotypic diversification in the cosmopolitan diatom Cylindrotheca

Diatom mating activity contributes to their enormous phenotypic and genetic diversity, yet little is known about patterns in diatom reproductive compatibility across genetically diverse strains, nor the effects on offspring phenotypes that may confer adaptive evolution, niche partitioning, or trait improvement. Here a panel of 38 Arctic Cylindrotheca sp. isolates were crossed pairwise to detect mating compatibility. Positive mating patterns were identified in multiple clades, including amongst crosses of different parental rbcL genotypes. F1 isolated from three different crosses presented phenotypic variation in growth rate, plastid traits, and associated photo-physiological responses to blue and green actinic light. Offspring gliding speed and behaviour also varied, providing insights into complex motility traits that link cell morphology, bioenergetics and sensory adaptation with emergent movement patterns. Exploratory analysis of the F1 trait landscape identified a varaible mixture of individual-level and cross-dependent effects, including substantial variation in growth rate between individuals and strong effects of different crosses on morphology and motility. Experimental diatom breeding may offer a unique strategy to study ocean protist evolution and phenotypic diversification and could complement other biotechnological innovations to enhance cultivation yields and crop resilience in mass cultivation.

microbiology↗

bioRxiv2025

BC-Predict Database: A Curated Resource of Experimentally Validated Markers in Multidrug Resistance in Breast Cancer

BackgroundIn this study, we aim to develop a yearly updatable database that could predict chemotherapeutic drug resistance and overall survival probability in breast cancer patients. Existing drug sensitivity databases depend on correlation-based predictions. In our study, candidates involved in drug resistance are chosen based on cell line validation (overexpression or downregulation or inhibition of candidates) studies, curated manually. Method28,773 mRNA expression signatures from 914 breast cancer patients were extracted from cProsite. 106 of these patients had clinical information and log2 fold change information required for this study. We categorized these patients into deceased and surviving groups from TCGA. To prepare a database that can predict drug resistance and overall survival, we included mRNAs that were over-expressed in at least 80% of the breast cancer patients and mRNAs over-expressed in deceased and surviving groups. In addition, we also reported breast cancer-associated drug resistance candidates which have been reported in cell-line based studies. The database matrix preparation involved an approximate of 15000 manual searches of cell validated studies. (750 candidates x 20 drugs). The database was validated using a publicly available breast cancer patient proteomics data. ResultsOur analysis identified a list of top priority candidates associated with multidrug resistance, categorized based on their resistance to >15 drugs, 5-15 drugs, and 2-4 drugs. Analysis of patient profiles in the database revealed that the number of proteins contributing to drug resistance was high in the poor prognosis category compared to the good prognosis category. ConclusionsOur study highlights the probable gaps in breast cancer drug resistance research, as only a small subset of overexpressed mRNA candidates found in patients are studied in vitro or in vivo experiments focusing on drug resistance. We also identified candidates involved in multidrug resistance, whose role in drug resistance has not been studied in more than 15 drugs. After further validations, this will benefit the clinicians and upcoming CRISPR gene therapeutics.

cancer biology↗

bioRxiv2025

Improved EPR sensitivity for aqueous biological samples using low-volume multi-channel cells and dielectric resonators

Reducing sample volumes for electron paramagnetic resonance (EPR) spectroscopy applications places increasing demands on hardware design to preserve or enhance EPR signal intensity. In this work, the design, fabrication, and testing of dielectric resonators and multi-channel aqueous sample cells for applications in X-band (nominally 9.5 GHz) EPR is presented. Our aim was to maximize the EPR signal intensity for sample sizes of 3-4 L and 200 nL. These advances are summarized as follows: single-crystal sapphire and rutile dielectric resonators with very low loss tangent and high resonator efficiency; minimum dielectric resonator coupling to radiation shield to reduce ohmic losses; 3D printed aqueous sample cells with thin multi-channel construction to minimize radio-frequency dissipation in the sample; and a Gordon coupler for maximum coupling range and minimum stored energy to eliminate frequency shifts during tuning. Sample cell geometries were designed by leveraging insights gained from analytic theory to inform finite-element modeling of electromagnetic fields. Experimental comparisons of multi-channel sample cells using a sapphire resonator exhibited a 2.2-fold increase in EPR signal intensity compared with a standard capillary at 3-4 L, while simulations predict an additional 23% improvement with further 3D printing advances. For samples at 200 nL, a rutile dielectric resonator with a multi-channel sample cell was simulated to improve EPR sensitivity by a 2.7-fold increase compared with a capillary at the same volume.

biophysics↗