Publications by authors named "Mario J Mendez"
Article Synopsis
- Cardiac action potentials are influenced by complex interactions between cell membrane voltage and various ionic currents, but current measurement techniques limit understanding of these dynamics.
- A data-assimilation approach allows for accurate reconstruction of cardiac myocyte behavior, even in situations with parameter uncertainty and observational noise.
- The study confirms that estimated ionic conductances from one pacing frequency can effectively predict action potential dynamics at varying rates, demonstrating the practical application of this method.
Epithelial-mesenchymal transition (EMT) is a biological process that plays a central role in embryonic development, tissue regeneration, and cancer metastasis. Transforming growth factor-β (TGFβ) is a potent inducer of this cellular transition, comprising transitions from an epithelial state to partial or hybrid EMT state(s), to a mesenchymal state. Recent experimental studies have shown that, within a population of epithelial cells, heterogeneous phenotypical profiles arise in response to different time- and TGFβ dose-dependent stimuli.
View Article and Find Full Text PDFEpithelial-mesenchymal transition (EMT) is a fundamental biological process that plays a central role in embryonic development, tissue regeneration, and cancer metastasis. Transforming growth factor-β (TGFβ) is a potent inducer of this cellular transition, which is composed of transitions from an epithelial state to intermediate or partial EMT state(s) to a mesenchymal state. Using computational models to predict cell state transitions in a specific experiment is inherently difficult for reasons including model parameter uncertainty and error associated with experimental observations.
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