评估成纤维细胞对ER+乳腺癌雌激素信号转导影响的纸基协同培养平台

IF 4.6 Q1 CHEMISTRY, ANALYTICAL
Zachary R. Sitte, Abel Andre Miranda Buzetta, Sarina J. Jones, Zhi-Wei Lin, Nathan Ashbrook Whitman and Matthew R. Lockett*, 
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引用次数: 0

摘要

以细胞为基础的化验可以在分子水平上研究细胞对候选药物或潜在毒素的反应。核受体是哺乳动物细胞中基因靶标的关键转录调控因子,转录激活测定可量化核受体的激活或抑制情况。其中一种检测方法将荧光素酶的表达与雌激素受体-α(ERα)的转录活性结合起来。虽然这种检测方法经常用于筛选雌激素信号通路的激动剂和拮抗剂,但其设置依赖于单层培养,在单层培养中,细胞被直接移植到与细胞兼容的塑料容器表面。 肿瘤微环境不仅仅是癌细胞的集合,还受到组织结构、细胞外基质的存在以及邻近非癌细胞(如成纤维细胞)产生的细胞间信号分子的深刻影响。目前需要一种三维培养平台,既能快速制作原型以评估新的配置,又能随时大量生产,满足转化研究和筛选应用的需要。 在这里,我们展示了纸基培养平台在探究两种细胞类型之间的细胞间信号转导效应方面的实用性。我们使用纸质支架生成类似肿瘤的环境,形成悬浮在胶原蛋白中的乳腺癌细胞的确定体积。通过将纸支架置于商用 96 孔板中,我们比较了仅有乳腺癌细胞的单培养与在不同位置含有成纤维细胞的共培养配置,后者模拟了乳腺癌的进展阶段。我们发现,T47D-KBluc 细胞系中的 ERα 转录活化受成纤维细胞的存在、数量和邻近程度的影响,是细胞间信号分子的结果。在筛选了一小部分成纤维细胞分泌的信号分子后,我们发现白细胞介素-6(IL-6)是降低雌二醇敏感性的主要驱动因素。在共培养配置中加入 IL-6 中和抗体可减轻这些影响。我们还评估了雌激素受体的表达和转录调控,进一步证明了纸质平台在详细机理研究中的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Paper-Based Coculture Platform to Evaluate the Effects of Fibroblasts on Estrogen Signaling in ER+ Breast Cancers

Paper-Based Coculture Platform to Evaluate the Effects of Fibroblasts on Estrogen Signaling in ER+ Breast Cancers

Paper-Based Coculture Platform to Evaluate the Effects of Fibroblasts on Estrogen Signaling in ER+ Breast Cancers

Cell-based assays enable molecular-level studies of cellular responses to drug candidates or potential toxins. Transactivation assays quantify the activation or inhibition of nuclear receptors, key transcriptional regulators of gene targets in mamalian cells. One such assay couples the expression of luciferase to the transcriptional activity of estrogen receptor-alpha (ERα). While this assay is regularly used to screen for agonists and antagonists of the estrogen signaling pathway, the setup relies on monolayer cultures in which cells are plated directly onto the surface of cell-compatible plasticware. The tumor microenvironment is more than a collection of cancerous cells and is profoundly influenced by tissue architecture, the presence of extracellular matrices, and intercellular signaling molecules produced by non-cancerous neighboring cells (e.g., fibroblasts). There exists a need for three-dimensional culture platforms that can be rapidly prototyped to assess new configurations and readily produced in the large numbers needed for translational studies and screening applications. Here, we demonstrate the utility of the paper-based culture platform to probe the effects of intercellular signaling between two cell types. We used paper scaffolds to generate tumor-like environments, forming a defined volume of breast cancer cells suspended in collagen. By placing the paper scaffolds in commercial 96-well plates, we compared monocultures of only breast cancer cells with coculture configurations containing fibroblasts in different locations that mimicked the stages of breast cancer progression. We show that ERα transactivation in the T47D-KBluc cell line is affected by the presence, number, and proximity of fibroblasts, and is a consequence of intercellular signaling molecules. After screening a small library of fibroblast-secreted signaling molecules, we showed that interleukin-6 (IL-6) was the primary driver of reduced estradiol sensitivity. These effects were mitigated in the coculture configurations by the addition of an IL-6 neutralizing antibody. We also assessed estrogen receptor expression and transcriptional regulation, further demonstrating the utility of the paper-based platform for detailed mechanistic studies.

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来源期刊
ACS Measurement Science Au
ACS Measurement Science Au 化学计量学-
CiteScore
5.20
自引率
0.00%
发文量
0
期刊介绍: ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.
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