Suppr超能文献

将侵袭性运动与单个肿瘤细胞中的蛋白质表达联系起来。

Linking invasive motility to protein expression in single tumor cells.

机构信息

UC-Berkeley-UCSF Graduate Program in Bioengineering, University of California, Berkeley, CA 94720, USA.

出版信息

Lab Chip. 2018 Jan 16;18(2):371-384. doi: 10.1039/c7lc01008g.

Abstract

The invasion of malignant cells into tissue is a critical step in the progression of cancer. While it is increasingly appreciated that cells within a tumor differ in their invasive potential, it remains nearly unknown how these differences relate to cell-to-cell variations in protein expression. Here, we introduce a microfluidic platform that integrates measurements of invasive motility and protein expression for single cells, which we use to scrutinize human glioblastoma tumor-initiating cells (TICs). Our live-cell imaging microdevice is comprised of polyacrylamide microchannels that exhibit tissue-like stiffness and present chemokine gradients along each channel. Due to intrinsic differences in motility, cell subpopulations separate along the channel axis. The separated cells are then lysed in situ and each single-cell lysate is subjected to western blotting in the surrounding polyacrylamide matrix. We observe correlations between motility and Nestin and EphA2 expression. We identify protein-protein correlations within single TICs, which would be obscured with population-based assays. The integration of motility traits with single-cell protein analysis - on the same cell - offers a new means to identify druggable targets of invasive capacity.

摘要

恶性细胞侵入组织是癌症进展的关键步骤。虽然人们越来越认识到肿瘤内的细胞在侵袭潜力上存在差异,但这些差异与蛋白质表达的细胞间变化如何相关仍几乎未知。在这里,我们引入了一种微流控平台,该平台可对单个细胞的侵袭运动性和蛋白质表达进行测量,我们使用该平台仔细研究了人类脑胶质瘤起始细胞(TIC)。我们的活细胞成像微器件由聚丙酰胺微通道组成,这些微通道具有类似组织的硬度,并在每个通道中呈现趋化因子梯度。由于固有运动能力的差异,细胞亚群沿通道轴分离。然后将分离的细胞在原位裂解,并将每个单细胞裂解物在周围的聚丙酰胺基质中进行 Western 印迹分析。我们观察到运动性与巢蛋白和 EphA2 表达之间的相关性。我们在单个 TIC 内鉴定出蛋白质-蛋白质相关性,而基于群体的测定方法则会掩盖这些相关性。将运动特性与单细胞蛋白分析(在同一细胞上)相结合,为鉴定侵袭能力的可用药靶提供了一种新方法。

相似文献

引用本文的文献

3
4
Phenotypic Heterogeneity and Metastasis of Breast Cancer Cells.乳腺癌细胞的表型异质性与转移。
Cancer Res. 2021 Jul 1;81(13):3649-3663. doi: 10.1158/0008-5472.CAN-20-1799. Epub 2021 May 11.
5
Incorporating Tumor-Associated Macrophages into Engineered Models of Glioma.将肿瘤相关巨噬细胞纳入胶质瘤工程模型
iScience. 2020 Nov 5;23(12):101770. doi: 10.1016/j.isci.2020.101770. eCollection 2020 Dec 18.
9
A mode of cell adhesion and migration facilitated by CD44-dependent microtentacles.CD44 依赖性微纤毛促进的细胞黏附和迁移方式。
Proc Natl Acad Sci U S A. 2020 May 26;117(21):11432-11443. doi: 10.1073/pnas.1914294117. Epub 2020 May 7.

本文引用的文献

1
Subcellular western blotting of single cells.单细胞的亚细胞蛋白质印迹分析。
Microsyst Nanoeng. 2017;3. doi: 10.1038/micronano.2016.79. Epub 2017 Feb 13.
9
Cancer stem cells in glioblastoma.胶质母细胞瘤中的癌症干细胞。
Genes Dev. 2015 Jun 15;29(12):1203-17. doi: 10.1101/gad.261982.115.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验