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MALDI-Mass Spectrometric Imaging Revealing Hypoxia-Driven Lipids and Proteins in a Breast Tumor Model

机译:MALDI-质谱成像揭示了乳腺肿瘤模型中缺氧驱动的脂质和蛋白质

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摘要

Hypoxic areas are a common feature of rapidly growing malignant tumors and their metastases and are typically spatially heterogeneous. Hypoxia has a strong impact on tumor cell biology and contributes to tumor progression in multiple ways. To date, only a few molecular key players in tumor hypoxia, such as hypoxia-inducible factor-1 (HIF-1), have been discovered. The distribution of biomolecules is frequently heterogeneous in the tumor volume and may be driven by hypoxia and HIF-1α. Understanding the spatially heterogeneous hypoxic response of tumors is critical. Mass spectrometric imaging (MSI) provides a unique way of imaging biomolecular distributions in tissue sections with high spectral and spatial resolution. In this paper, breast tumor xenografts grown from MDA-MB-231-HRE-tdTomato cells, with a red fluorescent tdTomato protein construct under the control of a hypoxia response element (HRE)-containing promoter driven by HIF-1α, were used to detect the spatial distribution of hypoxic regions. We elucidated the 3D spatial relationship between hypoxic regions and the localization of lipids and proteins by using principal component analysis–linear discriminant analysis (PCA-LDA) on 3D rendered MSI volume data from MDA-MB-231-HRE-tdTomato breast tumor xenografts. In this study, we identified hypoxia-regulated proteins active in several distinct pathways such as glucose metabolism, regulation of actin cytoskeleton, protein folding, translation/ribosome, splicesome, the PI3K-Akt signaling pathway, hemoglobin chaperone, protein processing in endoplasmic reticulum, detoxification of reactive oxygen species, aurora B signaling/apoptotic execution phase, the RAS signaling pathway, the FAS signaling pathway/caspase cascade in apoptosis, and telomere stress induced senescence. In parallel, we also identified colocalization of hypoxic regions and various lipid species such as PC(16:0/18:0), PC(16:0/18:1), PC(16:0/18:2), PC(16:1/18:4), PC(18:0/18:1), and PC(18:1/18:1), among others. Our findings shed light on the biomolecular composition of hypoxic tumor regions, which may be responsible for a given tumor's resistance to radiation or chemotherapy.
机译:低氧区域是恶性肿瘤迅速生长及其转移的共同特征,通常在空间上是异质的。缺氧对肿瘤细胞生物学有很强的影响,并以多种方式促进肿瘤的进展。迄今为止,仅发现了肿瘤缺氧中的几个分子关键参与者,例如缺氧诱导因子-1(HIF-1)。生物分子的分布在肿瘤体积中通常是异质的,并且可能由缺氧和HIF-1α驱动。了解肿瘤的空间异质性低氧反应至关重要。质谱成像(MSI)提供了一种独特的方式来以高光谱和空间分辨率对组织切片中的生物分子分布进行成像。本文使用由HIF-1α驱动的含缺氧反应元件(HRE)启动子控制的,由红色MDA-MB-231-HRE-tdTomato细胞生长的乳腺癌肿瘤异种移植物与红色荧光tdTomato蛋白构建体进行了移植。检测缺氧区域的空间分布。我们使用主成分分析-线性判别分析(PCA-LDA)对来自MDA-MB-231-HRE-tdTomato乳腺癌异种移植物的3D渲染的MSI体积数据,阐明了低氧区域与脂质和蛋白质定位之间的3D空间关系。在这项研究中,我们确定了低氧调节的蛋白在几种不同的途径中活跃,例如葡萄糖代谢,肌动蛋白细胞骨架的调节,蛋白折叠,翻译/核糖体,剪接体,PI3K-Akt信号通路,血红蛋白伴侣,内质网中的蛋白加工,活性氧的解毒,极光B信号传导/凋亡执行阶段,RAS信号传导途径,FAS信号传导途径/胱天蛋白酶在凋亡中的级联作用以及端粒应激诱导的衰老。同时,我们还确定了低氧区域和各种脂质物种(例如PC(16:0/18:0),PC(16:0/18:1),PC(16:0/18:2),PC (16:1/18:4),PC(18:0/18:1)和PC(18:1/18:1)等。我们的发现揭示了缺氧肿瘤区域的生物分子组成,这可能是给定肿瘤对放射线或化学疗法的抵抗力。

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