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Multiplexing Angiogenic Receptor Quantification via Quantum Dots

机译:通过量子点复用血管生成受体定量

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Clinical and biomedical research seeks single-cell quantification to better understand their roles in a complex, multicell environment. Recently, quantification of vascular endothelial growth factor receptors (VEGFRs) provided important insights into endothelial cell characteristics and response in tumor microenvironments. However, existing technologies for quantifying plasma membrane receptor tyrosine kinases (RTKs) lack multiplexing capabilities, limiting detailed characterization. Here, we use the unique spectral properties of quantum dots (Qdots) to optimize and dually quantify VEGFR1 and VEGFR2 on human umbilical vein endothelial cells (HUVECs). To enable this quantification, we reduce nonspecific binding between Qdot-conjugated antibodies and cells via buffer optimization. Second, we identify optimal labeling conditions by examining Qdot-conjugated antibody binding to five receptors: VEGFRs (VEGFR1 and VEGFR2), their coreceptor neuropilin1 (NRP1), and platelet-derived growth factor receptor (PDGFR alpha and PDGFR beta). We establish that 800-20 000 is the dynamic range where accurate Qdot-enabled quantification can be achieved. Through these optimizations, we demonstrate measurement of 1 100 VEGFR1 and 6 900 VEGFR2 per HUVEC. We induce similar to 90% upregulation of VEGFR1 and similar to 30% downregulation of VEGFR2 concentration via 24 h VEGF-A(165) treatment. We observe no change in VEGFR1 or VEGFR2 concentration with 24 h VEGF-B-167 treatment. We further apply Qdots to analyze HUVEC heterogeneity and observe that 24 h VEGF-A(165) treatment induces a similar to 15% decrease in VEGFR2 heterogeneity, but little to no change in VEGFR1 heterogeneity. We observe that VEGF-B-167 induces little to no change in either VEGFR1 or VEGFR2 heterogeneity. Overall, we demonstrate experimental and analytical strategies for quantifying two or more RTKs at single-level using Qdots, which will help provide new insights into biological systems.
机译:临床和生物医学研究旨在更好地了解他们在复杂的多个环境中的角色。最近,血管内皮生长因子受体(VEGFRs)的定量提供了重要的见解肿瘤微环境中内皮细胞特征和反应。然而,用于定量血浆膜受体酪氨酸激酶(RTK)的现有技术缺乏多路复用能力,限制详细表征。这里,我们使用量子点(Qdots)的独特光谱特性来优化和双胞对VEGFR1和VEGFR2在人脐静脉内皮细胞(HUVEC)上的VEGFR1和VEGFR2。为了能够通过缓冲优化降低QDOT缀合的抗体和细胞之间的非特异性结合。其次,通过检查QDOT缀合的抗体结合到五个受体的抗体(VEGFR1和VEGFR2),它们的团簇神经血素1(NRP1)和血小板衍生的生长因子受体(PDGFRα和PDGFRβ)来鉴定最佳标记条件。我们建立了800-20 000是能够实现精确的QDot的量化的动态范围。通过这些优化,我们展示了每HUVEC的1 100 VEGFR1和6 900 VEGFR2的测量。我们诱导类似于VEGFR1的90%上调,并且通过24h VEGF-A(165)处理类似于VEGFR2浓度的30%下调。我们观察VEGFR1或VEGFR2浓度没有改变,24小时VEGF-B-167治疗。我们进一步应用QDOTS分析Huvec异质性,并观察到24小时VEGF-A(165)处理诱导VEGFR2异质性下降的15%,但VEGFR1异质性几乎没有变化。我们观察到VEGF-B-167几乎没有改变VEGFR1或VEGFR2异质性。总体而言,我们展示了使用QDOTS在单层定量两种或更多RTK的实验和分析策略,这将有助于为生物系统提供新的见解。

著录项

  • 来源
    《Analytical chemistry》 |2019年第12期|共10页
  • 作者

    Chen Si; Imoukhuede P. I.;

  • 作者单位

    Univ Illinois Dept Bioengn Urbana IL 61801 USA;

    Univ Illinois Carl R Woese Inst Genom Biol Urbana IL 61801 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
  • 关键词

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