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Maretvadakethope, S.

Publications and source records attributed to Maretvadakethope, S..

2 recordsLinked to original sources

Protein-protein interactions drive differences in the spatiotemporal dynamics of transcription factors NANOG and SOX2 in naïve pluripotent cells

Maintenance of naive pluripotency requires core transcription factors (TFs) like SOX2 and auxiliary TFs like NANOG, yet molecular mechanisms governing their intra-nuclear dynamics and DNA binding interactions remain unclear. Here, using high-density 3D single-molecule light-field microscopy combined with novel spatiotemporal analysis pipelines, we track SOX2 and NANOG dynamics in live cells. Despite lower protein abundance, NANOG displays a similar chromatin-bound fraction to SOX2. This arises partially because, while both TFs undergo frequent transient non-specific binding interactions ([~]0.5-0.7s), NANOG exhibits more stable specific binding ([~]25s vs [~]16s). Both TFs also assemble into phase-separated domains of [~]400 nm containing both freely diffusing and chromatin-bound proteins, which further influences their dynamics. Strikingly, NANOGs protein-protein interaction domain markedly increases chromatin residence time (>5-fold) and the size of these phase-separated domains. Our work uncovers how NANOG and SOX2 stabilise gene regulatory networks that maintain naive pluripotency while providing quantitative pipelines for dissecting spatiotemporal TF dynamics.

cell biology↗

Let there be multifunctionality: Uncovering the criticality zoo of the AC-DCgenetic circuit

Gene regulatory networks (GRNs) govern processes such as cell fate, patterning, and adaptation. While multistability and oscillations are both common GRN dynamics in cell biology, they are typically studied and engineered in isolation. Here, we challenge this separation using the AC-DC circuit, a minimal three- gene network that merges the classical toggle switch and repressilator. Using a thermodynamic formalism and Bayesian inference, we show that even a single-inducer version of the circuit can display diverse mul-tifunctional dynamics, including the coexistence of oscillations and multistability. In addition we explore robustness, classify emergent behaviours, and analyse critical slowing down and regime transitions. Re-markably, the AC-DC circuit can produce more than 30 topologically distinct bifurcation diagrams, chal-lenging the classical view that network topology rigidly constrains dynamical outcomes. This flexibility enables synthetic capabilities that couple hysteresis with oscillations, critical slowing down, and reversibility. By uncovering the hidden potential of minimal genetic circuits and outlining design principles for their implementation, this work opens new directions for harnessing emergent complexity using the basic building blocks of life.

systems biology↗