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Cottrell, O.

Publications and source records attributed to Cottrell, O..

2 recordsLinked to original sources

Engineering protein expression dynamics with Tet-ON and dTAG degron systems: from precise control to oscillations

Precise temporal control of protein expression is essential for dissecting protein function and dynamic cellular processes. We present a framework for engineering tunable oscillatory protein expression (repeated pulses in expression) using widely adopted molecular tools, applying them to modulate NGN3 expression. Single-cell time-lapse microscopy reveals that the Tet-On system unexpectedly generates asynchronous oscillations in protein expression under continuous doxycycline administration. These oscillations are dependent on protein instability and are not tunable by doxycycline concentration. In contrast, the dTAG degron system enables precise, reversible, concentration-dependent control of protein degradation and reaccumulation. Coupled with a constitutive promoter, we achieve synchronous oscillatory protein expression (COD: Constituitive promoter driving Oscillations via Degradation). Mathematical modelling identifies optimal dTAG drug addition and removal timings using the COD system to flexibly tune NGN3 oscillation periods while maintaining other oscillatory parameters (mean level and peak-to-trough fold-change). Using microfluidics (COD+CHIPS) we reproduce model-predicted 5 and 10 hours periodicities while maintaining similar mean levels and peak-to-trough fold-changes. This work introduces a generalisable, programmable approach for generating and modulating protein oscillations, allowing investigation into how dynamic protein expression governs cellular function.

developmental biology↗

Identification of genes with oscillatory expression in glioblastoma: The paradigm of SOX2

Quiescence, a reversible state of cell-cycle arrest, is an important state during both normal development and cancer progression. For example, in glioblastoma (GBM) quiescent glioblastoma stem cells (GSCs) play an important role in re-establishing the tumour, leading to relapse. While most studies have focused on identifying differentially expressed genes between proliferative and quiescent cells as potential drivers of this transition, recent studies have shown the importance of protein oscillations in controlling the exit from quiescence of neural stem cells. Here, we have undertaken a genome-wide bioinformatic inference approach to identify genes whose expression oscillates and which may be good candidates for controlling the transition to and from the quiescent cell state in GBM. Our analysis identified, among others, a list of important transcription regulators as potential oscillators, including the stemness gene SOX2, which we verified to oscillate in quiescent GSCs. These findings expand on the way we think about gene regulation and introduce new candidate genes as key regulators of quiescence.

cancer biology↗