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Biology subjects

Daly, A.

Publications and source records attributed to Daly, A..

2 recordsLinked to original sources

Selective regulation of a defined subset of inflammatory and immunoregulatory genes by an NF-κB p50-IκBζ pathway

The five NF-{kappa}B family members and three nuclear I{kappa}B proteins play important biological roles, but the mechanisms by which distinct NF-{kappa}B and I{kappa}B proteins contribute to selective gene transcription remain poorly understood, especially at a genome-scale level. Using nascent transcript RNA-seq, we observed considerable overlap between p50-dependent and I{kappa}B{zeta}-dependent genes in Toll-like receptor 4 (TLR4)-activated macrophages. Key immunoregulatory genes, including Il6, Il1b, Nos2, Lcn2, and Batf, are among the p50-I{kappa}B{zeta} co-dependent genes. I{kappa}B{zeta} bound genomic sites occupied by NF-{kappa}B dimers at earlier time points. However, p50-I{kappa}B{zeta} co-dependence does not coincide with preferential binding of either p50 or I{kappa}B{zeta}, as both proteins and RelA co-occupy thousands of genomic sites. A common feature of p50-I{kappa}B{zeta} co-dependent genes is a nearby p50/RelA/I{kappa}B{zeta} co-bound site exhibiting p50-dependent binding of both RelA and I{kappa}B{zeta}. This result and others suggest that I{kappa}B{zeta} may act in concert with RelA:p50 heterodimers. Notably, the I{kappa}B{zeta}-dependent and p50-I{kappa}B{zeta}-co-dependent genes comprise a high percentage of genes that exhibit the greatest differential expression between TLR4-stimulated and tumor necrosis factor receptor (TNFR)-stimulated macrophages. Thus, our genome-centric analysis reveals a defined p50-I{kappa}B{zeta} pathway that selectively activates a set of key immunoregulatory genes and serves as an important contributor to the differential TNFR and TLR4 responses.

immunology↗

Bioprinting in granular support hydrogels - characterizing the role of particle morphology and packing density

Despite significant advances in bioprinting technology, current hardware platforms lack the capability for process monitoring and quality control. This limitation hampers the translation of the technology into industrial GMP-compliant manufacturing settings. To address this, we developed a novel bioprinting platform integrating a high-resolution camera for in-situ monitoring of extrusion outcomes during embedded bioprinting. Leveraging classical computer vision and image analysis techniques, we then created a custom software module for assessing print quality. This module enables quantitative comparison of printer outputs to input CAD models, measuring area and positional accuracy. To showcase the platforms capabilities, we then investigated how the rheological properties of granular support hydrogels impact print quality during embedded bioprinting. Our results demonstrated that lower viscosity, faster thixotropy recovery, and smaller particle sizes significantly enhance print fidelity. This novel bioprinting platform, equipped with integrated process monitoring, holds great potential for establishing robust, reliable, and auditable biofabrication processes for industrial applications.

bioengineering↗