Heininen Juho, Movahedi Parisa, Kotiaho Tapio, Kostiainen Risto, Pahikkala Tapio, Teppo Jaakko
Drug Research Program and Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, P.O. Box 56, FI-00014, Helsinki, Finland.
Department of Computing, Turku University, 20014, Turku, Finland.
Chemistry. 2024 Dec 23;30(72):e202403278. doi: 10.1002/chem.202403278. Epub 2024 Nov 10.
We developed a single cell amine analysis approach utilizing isobarically multiplexed samples of 6 individual cells along with analyte abundant carrier. This methodology was applied for absolute quantitation of amino acids and untargeted relative quantitation of amines in a total of 108 individual cells using nanoflow LC with high-resolution mass spectrometry. Together with individually determined cell sizes, this provides accessible quantification of intracellular amino acid concentrations within individual cells. The targeted method was partially validated for 10 amino acids with limits of detection in low attomoles, linear calibration range covering analyte amounts typically from 30 amol to 120 fmol, and correlation coefficients (R) above 0.99. This was applied with cell sizes recorded during dispensing to determine millimolar intracellular amino acid concentrations. The untargeted approach yielded 249 features that were detected in at least 25 % of the single cells, providing modest cell type separation on principal component analysis. Using Greedy forward selection with regularized least squares, a sub-selection of 100 features explaining most of the difference was determined. These features were annotated using MS2 from analyte standards and accurate mass with library search. The approach provides accessible, sensitive, and high-throughput method with the potential to be expanded also to other forms of ultrasensitive analysis.
我们开发了一种单细胞胺分析方法,该方法利用6个单个细胞的等压多重样本以及丰富的分析物载体。这种方法应用于使用纳流液相色谱与高分辨率质谱对总共108个单个细胞中的氨基酸进行绝对定量和对胺进行非靶向相对定量。结合单独测定的细胞大小,这使得能够对单个细胞内的细胞内氨基酸浓度进行定量分析。该靶向方法对10种氨基酸进行了部分验证,检测限低至阿托摩尔,线性校准范围涵盖通常从30 amol到120 fmol的分析物量,相关系数(R)高于0.99。将其与分配过程中记录的细胞大小一起应用,以确定毫摩尔级的细胞内氨基酸浓度。非靶向方法产生了249个特征,这些特征在至少25%的单个细胞中被检测到,在主成分分析中提供了适度的细胞类型分离。使用带有正则化最小二乘法的贪婪前向选择,确定了解释大部分差异的100个特征的子选择。这些特征使用来自分析物标准品的MS2和库搜索的精确质量进行注释。该方法提供了一种可访问、灵敏且高通量的方法,并且有可能扩展到其他形式的超灵敏分析。