Chatzimichail Stelios, Supramaniam Pashiini, Salehi-Reyhani Ali
Department of Surgery & Cancer, Imperial College London, London W12 0HS, U.K.
Department of Chemistry, Imperial College London, London W12 0BZ, U.K.
Anal Chem. 2021 May 4;93(17):6656-6664. doi: 10.1021/acs.analchem.0c05177. Epub 2021 Apr 20.
Great strides toward routine single-cell analyses have been made over the last decade, particularly in the field of transcriptomics. For proteomics, amplification is not currently possible and has necessitated the development of ultrasensitive platforms capable of performing such analyses on single cells. These platforms are improving in terms of throughput and multiplexability but still fall short in relation to more established methods such as fluorescence microscopy. However, microscopy methods rely on fluorescence intensity as a proxy for protein abundance and are not currently capable of reporting this in terms of an absolute copy number. Here, a microfluidic implementation of single-molecule microarrays for single-cell analysis is assessed in its ability to calibrate fluorescence microscopy data. We show that the equivalence of measurements of the steady-state distribution of protein abundance to single-molecule microarray data can be exploited to pave the way for absolute quantitation by fluorescence and immunofluorescence microscopy. The methods presented have been developed using GFP but are extendable to other proteins and other biomolecules of interest.
在过去十年中,单细胞分析的常规方法取得了巨大进展,尤其是在转录组学领域。对于蛋白质组学而言,目前还无法进行扩增,因此需要开发能够对单细胞进行此类分析的超灵敏平台。这些平台在通量和多重分析能力方面正在不断改进,但与荧光显微镜等更成熟的方法相比仍有差距。然而,显微镜方法依赖荧光强度作为蛋白质丰度的替代指标,目前还无法以绝对拷贝数的形式报告蛋白质丰度。在此,我们评估了用于单细胞分析的单分子微阵列的微流控实现方式校准荧光显微镜数据的能力。我们表明,蛋白质丰度稳态分布的测量结果与单分子微阵列数据的等效性可用于为荧光和免疫荧光显微镜的绝对定量分析铺平道路。所提出的方法是使用绿色荧光蛋白(GFP)开发的,但可扩展到其他感兴趣的蛋白质和其他生物分子。