Laboratory of Physical Chemistry, ETH Zurich, 8093 Zurich, Switzerland.
Department of Chemistry, Washington University in St. Louis, St. Louis, MO 63130, USA.
Int J Mol Sci. 2020 Jun 30;21(13):4649. doi: 10.3390/ijms21134649.
We demonstrate for the first time in-cell dynamic nuclear polarization (DNP) in conjunction with flow cytometry sorting to address the cellular heterogeneity of in-cell samples. Utilizing a green fluorescent protein (GFP) reporter of HIV reactivation, we correlate increased N resonance intensity with cytokine-driven HIV reactivation in a human cell line model of HIV latency. As few as 10% GFP+ cells could be detected by DNP nuclear magnetic resonance (NMR). The inclusion of flow cytometric sorting of GFP+ cells prior to analysis by DNP-NMR further boosted signal detection through increased cellular homogeneity with respect to GFP expression. As few as 3.6 million N-labeled GFP+ cells could be readily detected with DNP-NMR. Importantly, cell sorting allowed for the comparison of cytokine-treated GFP+ and GFP- cells in a batch-consistent way. This provides an avenue for normalizing NMR spectral contributions from background cellular processes following treatment with cellular modulators. We also demonstrate the remarkable stability of AMUPol (a nitroxide biradical) in Jurkat T cells and achieved in-cell enhancements of 46 with 10 mM AMUPol, providing an excellent model system for further in-cell DNP-NMR studies. This represents an important contribution to improving in-cell methods for the study of endogenously expressed proteins by DNP-NMR.
我们首次在细胞内动态核极化 (DNP) 与流式细胞分选相结合,以解决细胞内样品的细胞异质性问题。利用 HIV 再激活的绿色荧光蛋白 (GFP) 报告基因,我们在 HIV 潜伏的人细胞系模型中,将增加的 N 共振强度与细胞因子驱动的 HIV 再激活相关联。通过 DNP 核磁共振 (NMR) 可以检测到少至 10% GFP+细胞。在通过 DNP-NMR 进行分析之前,将 GFP+细胞进行流式细胞分选,可通过提高 GFP 表达的细胞均匀性进一步提高信号检测能力。通过 DNP-NMR 可以轻松检测到少至 360 万个 N 标记的 GFP+细胞。重要的是,细胞分选允许以批处理一致的方式比较细胞因子处理后的 GFP+和 GFP-细胞。这为在使用细胞调节剂处理后,对来自背景细胞过程的 NMR 光谱贡献进行归一化提供了一种途径。我们还证明了 AMUPol(一种氮氧自由基双自由基)在 Jurkat T 细胞中的惊人稳定性,并实现了 10 mM AMUPol 时 46 的细胞内增强,为进一步的细胞内 DNP-NMR 研究提供了一个极好的模型系统。这是通过 DNP-NMR 改善内源性表达蛋白的内细胞方法的重要贡献。