Momin Md Sorique Aziz, Bhadra Jhuma, Bhunia Debmalya, Sannigrahi Achinta, De Nayan
School of Physics and Astronomy, College of Science, Rochester Institute of Technology, Rochester, NY 14623, USA.
Department of Chemistry, Sarojini Naidu College for Women, Kolkata 700028, India.
Cells. 2025 Jun 14;14(12):903. doi: 10.3390/cells14120903.
Cellular memory is the competence of cells to preserve information from past experiences and respond aptly. This memory is maintained and controlled by gene regulatory networks (GRNs). GRNs are crucial for understanding why some cells are resistant to treatment, particularly for cancer. In our study, we created a new mathematical model to understand how "noise" affects cellular memory in GRNs, focusing on a "double positive feedback loop". Our theoretical perspective article equipped with mathematical modeling exhibits how noise and feedback loops interact in GRNs. It also proposes a potential theoretical avenue for future therapy. By targeting the mechanisms that maintain drug resistance in cells, we aim to develop therapies that can restore the sensitivity of cancer cells to treatment.
细胞记忆是细胞保存过去经历的信息并做出适当反应的能力。这种记忆由基因调控网络（GRNs）维持和控制。基因调控网络对于理解为什么某些细胞对治疗有抗性，尤其是对癌症的抗性至关重要。在我们的研究中，我们创建了一个新的数学模型来理解“噪声”如何影响基因调控网络中的细胞记忆，重点关注一个“双正反馈回路”。我们配备数学建模的理论观点文章展示了噪声和反馈回路在基因调控网络中是如何相互作用的。它还为未来的治疗提出了一条潜在的理论途径。通过针对维持细胞耐药性的机制，我们旨在开发能够恢复癌细胞对治疗敏感性的疗法。
