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Bagnall, J. S.

Publications and source records attributed to Bagnall, J. S..

2 recordsLinked to original sources

Overexpression of IkappaBalpha modulates NF-kappaB activation of inflammatory target gene expression

Cells respond to inflammatory stimuli such as cytokines by activation of the nuclear factor-{kappa}B (NF-{kappa}B) signalling pathway, resulting in oscillatory translocation of the transcription factor p65 between nucleus and cytoplasm to mediate immune response. We investigate the relationship between p65 and inhibitor-{kappa}B (I{kappa}B) protein levels and dynamic properties of the system, and how this interaction impacts on the expression of key inflammatory genes. Using bacterial artificial chromosomes, we developed new cell models of I{kappa}B-eGFP protein overexpression in a native genomic context. We find that cells with high levels of the negative regulator I{kappa}B remain responsive to inflammatory stimuli and maintain dynamics for both p65 and I{kappa}B. In contrast, canonical target gene expression is dramatically reduced by overexpression of I{kappa}B, but can be partially rescued by overexpression of p65. Treatment with leptomycin B to promote nuclear accumulation of I{kappa}B also suppresses canonical target gene expression, suggesting a mechanism in which nuclear I{kappa}B accumulation prevents productive p65 interaction with promoter binding sites. This causes reduced target promoter binding and gene transcription, which we validate by chromatin immune precipitation and in primary cells. Overall, we show how inflammatory gene transcription is modulated by the expression levels of both I{kappa}B and p65, and that transcription can be partially decoupled from p65 protein dynamics. This results in an anti-inflammatory effect on transcription, demonstrating a broad mechanism to modulate the strength of inflammatory response.

cell biology↗

Quantification of circadian interactions and protein abundance defines a mechanism for operational stability of the circadian clock

The mammalian circadian clock exerts substantial control of daily gene expression through cycles of DNA binding. Understanding of mechanisms driving the circadian clock is hampered by lack of quantitative data, without which predictive mathematical models cannot be developed. Here we develop a quantitative understanding of how a finite pool of BMAL1 protein can regulate thousands of target sites over daily time scales. We have used fluorescent correlation spectroscopy (FCS) to track dynamic changes in CRISPR-modified fluorophore-tagged proteins in time and space in single cells across SCN and peripheral tissues. We determine the contribution of multiple rhythmic processes in coordinating BMAL1 DNA binding, including the roles of cycling molecular abundance, binding affinities and two repressive modes of action. We find that nuclear BMAL1 protein numbers determine corresponding nuclear CLOCK concentrations through heterodimerization and define a DNA residence time of 2.6 seconds for this complex. Repression of CLOCK:BMAL1 is in part achieved through rhythmic changes to BMAL1:CRY1 affinity as well as a high affinity interaction between PER2:CRY1 which mediates CLOCK:BMAL1 displacement from DNA. Finally, stochastic modelling of these data reveals a dual role for PER:CRY complexes in which increasing concentrations of PER2:CRY1 promotes removal of BMAL1:CLOCK from genes consequently enhancing ability to move to new target sites.

systems biology↗