Department of Chemistry and the Beckman Institute, University of Illinois at Urbana - Champaign, 600 South Mathews Avenue, Urbana, IL, 61801, United States; Faculty of Pharmacy, National Yang-Ming University, No.155, Sec.2, Linong Street, Taipei, 11221, Taiwan.
Department of Chemistry and the Beckman Institute, University of Illinois at Urbana - Champaign, 600 South Mathews Avenue, Urbana, IL, 61801, United States.
Anal Chim Acta. 2020 Jun 29;1118:36-43. doi: 10.1016/j.aca.2020.04.028. Epub 2020 Apr 16.
Single-cell metabolomics provides information on the biochemical state of an individual cell and its relationship with the surrounding environment. Characterization of metabolic cellular heterogeneity is challenging, in part due to the small amounts of analytes and their wide dynamic concentration ranges within individual cells. CE-ESI-MS is well suited to single-cell assays because of its low sample-volume requirements and low detection limits. While the volume of a cell is in the picoliter range, after isolation, the typical volume of the lysed cell sample is on the order of a microliter; however, only nanoliters are injected into the CE system, with the volume mismatch limiting analytical performance. Here we developed an approach for the detection of intracellular metabolites from a single neuron using field amplified sample injection (FASI) CE-ESI-MS. Through the application of FASI, we achieved 100- to 300-fold detection limit enhancement compared to hydrodynamic injections. We further enhanced the analyte identification and quantification accuracy via introduction of two internal standards. As a result, the relative standard deviations of migration times were reduced to <5%, aiding identification. Finally, we successfully applied FASI CE-ESI-MS to the untargeted profiling of metabolites of Aplysia californica pleural sensory neurons with <50 μm diameter cell somata. As a result, twenty one neurotransmitters and metabolites have been quantified in these neurons.
单细胞代谢组学提供了单个细胞的生化状态及其与周围环境关系的信息。由于单个细胞内分析物的含量很少且其浓度范围很宽,因此对代谢细胞异质性进行特征描述具有挑战性。CE-ESI-MS 非常适合单细胞分析,因为它需要的样品量少,检测限低。虽然细胞的体积在皮升级别,但在分离后,裂解细胞样品的典型体积约为微升级别;然而,仅将纳升级别的样品注入 CE 系统,由于体积不匹配限制了分析性能。在这里,我们开发了一种使用场放大样品进样(FASI)CE-ESI-MS 从单个神经元中检测细胞内代谢物的方法。通过应用 FASI,与流体动力学进样相比,我们实现了 100-300 倍的检测限增强。我们通过引入两种内标进一步提高了分析物的鉴定和定量准确性。结果,迁移时间的相对标准偏差降低到 <5%,有助于鉴定。最后,我们成功地将 FASI CE-ESI-MS 应用于直径 <50 μm 的 Aplysia californica 胸膜感觉神经元的代谢物非靶向分析。结果,在这些神经元中定量了 21 种神经递质和代谢物。