Cell lines are in vitro model systems that are widely used in different fields of medical research, especially basic cancer research and drug discovery. Their usefulness is primarily linked to their ability to provide an indefinite source of biological material for experimental purposes.

Experimental systems for studying human cancer include cancer cell lines as well as 3D model organoids and organisms such as Drosophila melanogaster, zebrafish, and genetically engineered mouse model, pigs, patient‐derived xenografts (PDXs), and computational cancer models. These models form the basis to investigate cancer biochemical or ...

2024年3月5日 · Nature Cancer - Ideker and colleagues present NeST-VVN, a deep learning model based on cancer protein assembly data that can be used to predict the response and resistance of cancer cells...

We present an overview of past and current mathematical strategies directed at understanding tumor cell proliferation. We identify areas for mathematical development as motivated by available experimental and clinical evidence, with a particular emphasis on …

2021年3月29日 · Our recent work provides a computational approach to systematically compare large gene expression datasets to better understand which cell lines most closely resemble each tumour type, as well as...

2025年2月14日 · Furthermore, cancer cells interact with other cells in their microenvironment, which expands their signaling repertoire 7. Overall, this interplay between mutations, drugs, resistance mechanisms ...

We summarize how nonlinear dynamics and chaos theory shed light on the irregular rhythm of tumor cell cycles by combining advanced mathematical models that capture tumor cell cycle dynamics, ranging from traditional frameworks to stochastic and spatial methods (e.g. an automaton model can outperform traditional methods in handling cycle ...

2024年6月6日 · Single-cell transcriptomic analyses in diverse cancer types have revealed the recurrence, plasticity, and co-option of distinct cellular states, leading to a “developmental constraint” model whereby cancer cell state plasticity is restricted by the organism’s developmental map to access progenitor-like states and differentiated-like ...

2024年2月1日 · Motivated by this, our study presents a novel approach to modeling cancer tumor growth from a molecular dynamics' perspective, harnessing the capabilities of deep-learning cellular automata. This not only facilitates a microscopic examination of tumor behavior and growth but also delves deeper into its overarching behavioral patterns.

2025年2月13日 · Complex in vitro 2D/3D patient-derived and in vivo mouse models are being developed to improve tumor and perturbation response mimicking. The increased model complexity is costly and time-intensive, with limited throughput compared to simpler 2D cell line models. Utilizing single-cell mass measurements and clinical breast cancer markers (ER/PR/HER2/Ki67), a computational mixture of 2D cell ...