Extracellular Matrix Cues Regulate Mechanosensing and Mechanotransduction of Cancer Cells

Cells, Год журнала: 2024, Номер 13(1), С. 96 - 96

Опубликована: Янв. 2, 2024

Extracellular biophysical properties have particular implications for a wide spectrum of cellular behaviors and functions, including growth, motility, differentiation, apoptosis, gene expression, cell–matrix cell–cell adhesion, signal transduction mechanotransduction. Cells not only react to unambiguously mechanical cues from the extracellular matrix (ECM), but can occasionally manipulate features in parallel with biological characteristics, thus interfering downstream matrix-based both physiological pathological processes. Bidirectional interactions between cells (bio)materials vitro alter cell phenotype mechanotransduction, as well ECM structure, intentionally or unintentionally. Interactions mechanics vivo are importance variety diseases, primarily cancer. Stiffness values normal cancerous tissue range 500 Pa (soft) 48 kPa (stiff), respectively. Even shear flow increase 0.1–1 dyn/cm2 (normal tissue) 1–10 (cancerous tissue). There currently many new areas activity tumor research on various length scales, which highlighted this review. Moreover, complexity cancer is reduced common different tumors characteristics identify main pathways interaction. This all contributes standardization mechanotransduction models approaches, which, ultimately, increases understanding complex Finally, effects mechanics–biology pairing key insights clinical practice treatment and, consequently, translation.

Язык: Английский

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Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection

Computational and Structural Biotechnology Journal, Год журнала: 2024, Номер 23, С. 2798 - 2810

Опубликована: Июнь 29, 2024

The widespread use of high-throughput sequencing technologies has revolutionized the understanding biology and cancer heterogeneity. Recently, several machine-learning models based on transcriptional data have been developed to accurately predict patients' outcome clinical response. However, an open-source R package covering state-of-the-art algorithms for user-friendly access yet be developed. Thus, we proposed a flexible computational framework construct machine learning-based integration model with elegant performance (Mime). Mime streamlines process developing predictive high accuracy, leveraging complex datasets identify critical genes associated prognosis. An in silico combined de novo PIEZO1-associated signatures constructed by demonstrated accuracy predicting outcomes patients compared other published models. Furthermore, could also precisely infer immunotherapy response applying different Mime. Finally, SDC1 selected from potential as glioma target. Taken together, our provides solution constructing will greatly expanded provide valuable insights into current fields. is available GitHub (https://github.com/l-magnificence/Mime).

Язык: Английский

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Modeling the extracellular matrix in cell migration and morphogenesis: a guide for the curious biologist

Frontiers in Cell and Developmental Biology, Год журнала: 2024, Номер 12

Опубликована: Март 1, 2024

The extracellular matrix (ECM) is a highly complex structure through which biochemical and mechanical signals are transmitted. In processes of cell migration, the ECM also acts as scaffold, providing structural support to cells well points potential attachment. Although well-studied structure, its role in many biological remains difficult investigate comprehensively due complexity variation within an organism. tandem with experiments, mathematical models helpful refining testing hypotheses, generating predictions, exploring conditions outside scope experiments. Such can be combined calibrated vivo vitro data identify critical cell-ECM interactions that drive developmental homeostatic processes, or progression diseases. this review, we focus on computational such migration including cancer metastasis, tissue morphogenesis. By highlighting predictive power these models, aim help bridge gap between experimental approaches studying provide guidance selecting appropriate model framework complement corresponding studies.

Язык: Английский

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Matrix stiffness affects tumor-associated macrophage functional polarization and its potential in tumor therapy

Journal of Translational Medicine, Год журнала: 2024, Номер 22(1)

Опубликована: Янв. 21, 2024

The extracellular matrix (ECM) plays critical roles in cytoskeletal support, biomechanical transduction and biochemical signal transformation. Tumor-associated macrophage (TAM) function is regulated by stiffness solid tumors often associated with poor prognosis. ECM stiffness-induced mechanical cues can activate cell membrane mechanoreceptors corresponding mechanotransducers the cytoplasm, modulating phenotype of TAMs. Currently, tuning TAM polarization through stimulation has received increasing attention, whereas its effect on fate rarely been summarized. A better understanding relationship between will contribute to development new strategies for cancer therapy. In this review, we first introduced overall stiffness, analyzed changes mediated tumor progression, finally summarized effects targeting prognosis provide insight into field.

Язык: Английский

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Infrared nanosensors of piconewton to micronewton forces

Nature, Год журнала: 2025, Номер 637(8044), С. 70 - 75

Опубликована: Янв. 1, 2025

Язык: Английский

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