Results 121 to 130 of about 7,167,330 (247)
Meta-dynamical adaptive systems and their applications to a fractal algorithm and a biological model
Emmanuel Moulay, Marc Baguelin
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Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu+11 more
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Do fungi look like macroparasites? Quantifying the patterns and mechanisms of aggregation for host-fungal parasite relationships. [PDF]
Schrock SAR+14 more
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We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau+11 more
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Incremental modelling and analysis of biological systems with fuzzy hybrid Petri nets. [PDF]
Assaf G, Liu F, Heiner M.
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Mathematical and Computer Simulation of the Biological Life Support System Module 2/2. Verification of the model and scenarios [PDF]
Gubanov Vladimir G.+7 more
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Dual targeting of AKT and mTOR using MK2206 and RAD001 reduces tumor burden in an intracardiac colon cancer circulating tumor cell xenotransplantation model. Analysis of AKT isoform‐specific knockdowns in CTC‐MCC‐41 reveals differentially regulated proteins and phospho‐proteins by liquid chromatography coupled mass spectrometry. Circulating tumor cells
Daniel J. Smit+19 more
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Enhanced metabolomic predictions using concept drift analysis: identification and correction of confounding factors. [PDF]
Schwarzerova J+10 more
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Theoretical and in silico modeling of biological systems : from protein structure prediction to cellular dynamics [PDF]
Bogdan Barz
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This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain+3 more
wiley +1 more source