Griffiths, E. J. | Search bioRxiv

bioRxiv2026

IKKα and IKKβ serve as kinase-independent scaffolds that prevent proteasomal degradation of NEMO

NF-{kappa}B essential modulator (NEMO) is the critical scaffold protein of the canonical I kappa B kinase (IKK) complex. Whilst studying the contribution of IKK and IKK{beta} to NF-{kappa}B signalling we noted that NEMO protein levels were reduced in IKK knockout (KO) HCT116 cells. Loss of NEMO was more pronounced in IKK KO cells than IKK{beta} KO, whilst IKK+IKK{beta} double knockout (DKO) cells exhibited a 90% reduction in NEMO abundance. In contrast, the abundance of IKKs was unaffected by NEMO KO, although this abolished canonical NF-{kappa}B activation. Loss of IKKs had no effect on NEMO mRNA levels but IKK DKO cells exhibited accelerated NEMO protein turnover that was reversed by the proteasome inhibitor, MG132, but not the NEDDylation inhibitor, MLN4924. TAK-243, a selective inhibitor of UBA1, the E1 ubiquitin-activating enzyme, increased basal NEMO levels in DKO cells but did not prevent NEMO turnover suggesting both ubiquitylation-dependent and independent pathways for degradation. Bioinformatic analysis identified substantial regions of intrinsic disorder within the N- and C-termini of NEMO. NEMO was rapidly degraded by isolated 20S proteasomes in vitro and this was inhibited by interaction with IKK or IKK{beta}. Finally, re-expression of IKK increased NEMO expression in IKK DKO cells and this required the C-terminal NEMO binding domain (NBD) but not a functional kinase domain. Thus the IKKs act as critical kinase-independent scaffolds that stabilise NEMO; loss of these interactions results in NEMO degradation via the proteasome. These results may be relevant to strategies for inhibiting NF-{kappa}B signalling by disrupting NEMO:IKK interactions.

biochemistry↗

bioRxiv2025

VIRUS-MVP: A framework for comprehensive surveillance of viral mutations and their functional impacts

As viruses evolve, they accumulate genetic mutations that can influence disease severity, transmissibility, and the effectiveness of vaccines and therapeutics. Real-time tracking of viral mutations and their functional impacts is essential to understand these changes and assess their implications for public health responses. VIRUS-MVP is an interactive, portable platform designed for the comprehensive surveillance of viral mutations. Initially developed for SARS-CoV-2, it now fully supports mpox and is expanding to include influenza and RSV. The platform links viral mutations to functional annotations, providing insights into their predicted effects on viral infectivity, immune evasion, and protein functionality. It features an interactive interface for visualizing mutation distributions, a modular and reproducible genomics workflow, and a curated annotation resource that captures known impacts on viral proteins and host interactions. Users can also import custom functional annotations to tailor analyses to specific research needs or emerging pathogens. Developed collaboratively with public health and academic partners, VIRUS-MVP enhances understanding of viral evolution and its public health impact by bridging genomic data with biological insights. The platform is open-source, adaptable, and accessible on GitHub.

bioinformatics↗

bioRxiv2018

The Integrated Rapid Infectious Disease Analysis (IRIDA) Platform

Whole genome sequencing (WGS) is a powerful tool for public health infectious disease investigations owing to its higher resolution, greater efficiency, and cost-effectiveness over traditional genotyping methods. Implementation of WGS in routine public health microbiology laboratories is impeded by a lack of user-friendly automated and semi-automated pipelines, restrictive jurisdictional data sharing policies, and the proliferation of non-interoperable analytical and reporting systems. To address these issues, we developed the Integrated Rapid Infectious Disease Analysis (IRIDA) platform (irida.ca), a user-friendly, decentralized, open-source bioinformatics and analytical web platform to support real-time infectious disease outbreak investigations using WGS data. Instances can be independently installed on local high-performance computing infrastructure, enabling private and secure data management and analyses according to organizational policies and governance. IRIDAs data management capabilities enable secure upload, storage and sharing of all WGS data and metadata. The core platform currently includes pipelines for quality control, assembly, annotation, variant detection, phylogenetic analysis, in silico serotyping, multi-locus sequence typing, and genome distance calculation. Analysis pipeline results can be visualized within the platform through dynamic line lists and integrated phylogenomic clustering for research and discovery, and for enhancing decision-making support and hypothesis generation in epidemiological investigations. Communication and data exchange between instances are provided through customizable access controls. IRIDA complements centralized systems, empowering local analytics and visualizations for genomics-based microbial pathogen investigations. IRIDA is currently transforming the Canadian public health ecosystem and is freely available at https://github.com/phac-nml/irida and www.irida.ca.\n\nImpact StatementWhole genome sequencing (WGS) is revolutionizing infectious disease analysis and surveillance due to its cost effectiveness, utility, and improved analytical power. To date, no \"one-size-fits-all\" genomics platform has been universally adopted, owing to differences in national (and regional) health information systems, data sharing policies, computational infrastructures, lack of interoperability and prohibitive costs. The Integrated Rapid Infectious Disease Analysis (IRIDA) platform is a user-friendly, decentralized, open-source bioinformatics and analytical web platform developed to support real-time infectious disease outbreak investigations using WGS data. IRIDA empowers public health, regulatory and clinical microbiology laboratory personnel to better incorporate WGS technology into routine operations by shielding them from the computational and analytical complexities of big data genomics. IRIDA is now routinely used as part of a validated suite of tools to support outbreak investigations in Canada. While IRIDA was designed to serve the needs of the Canadian public health system, it is generally applicable to any public health and multi-jurisdictional environment. IRIDA enables localized analyses but provides mechanisms and standard outputs to enable data sharing. This approach can help overcome pervasive challenges in real-time global infectious disease surveillance, investigation and control, resulting in faster responses, and ultimately, better public health outcomes.\n\nDATA SUMMARYO_LIData used to generate some of the figures in this manuscript can be found in the NCBI BioProject PRJNA305824.\nC_LI

bioinformatics↗