Proteomic and Phosphoproteomic Profiling of Matrix Stiffness-Induced Stemness-Dormancy State Transition in Breast Cancer Cells

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Rong Han, Xu Sun, Yue Wu, Ye-Hong Yang, Qiao-Chu Wang, Xu-Tong Zhang, Tao Ding, Jun-Tao Yang
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引用次数: 0

Abstract

The dormancy of cancer stem cells is a major factor leading to drug resistance and a high rate of late recurrence and mortality in estrogen receptor-positive (ER+) breast cancer. Previously, we demonstrated that a stiffer matrix induces tumor cell dormancy and drug resistance, whereas a softened matrix promotes tumor cells to exhibit a stem cell state with high proliferation and migration. In this study, we present a comprehensive analysis of the proteome and phosphoproteome in response to gradient changes in matrix stiffness, elucidating the mechanisms behind cell dormancy-induced drug resistance. Overall, we found that antiapoptotic and membrane transport processes may be involved in the mechanical force-induced dormancy resistance of ER+ breast cancer cells. Our research provides new insights from a holistic proteomic and phosphoproteomic perspective, underscoring the significant role of mechanical forces stemming from the stiffness of the surrounding extracellular matrix as a critical regulatory factor in the tumor microenvironment.

Abstract Image

基质僵化诱导乳腺癌细胞干性-休眠状态转变的蛋白质组和磷酸蛋白组分析
癌症干细胞的休眠是导致雌激素受体阳性(ER+)乳腺癌耐药、晚期复发率和死亡率高的一个主要因素。以前,我们曾证实,较硬的基质会诱导肿瘤细胞休眠和耐药性,而软化的基质则会促进肿瘤细胞呈现干细胞状态,具有高增殖性和高迁移性。在本研究中,我们全面分析了蛋白质组和磷酸蛋白质组对基质硬度梯度变化的响应,阐明了细胞休眠诱导耐药性背后的机制。总体而言,我们发现抗凋亡和膜转运过程可能参与了机械力诱导的ER+乳腺癌细胞休眠抗药性。我们的研究从整体蛋白质组学和磷酸化蛋白质组学的角度提供了新的见解,强调了来自周围细胞外基质硬度的机械力作为肿瘤微环境中的关键调控因子所发挥的重要作用。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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