Kramer Gertjan, Woolerton Yvonne, van Straalen Jan P, Vissers Johannes P C, Dekker Nick, Langridge James I, Beynon Robert J, Speijer Dave, Sturk Auguste, Aerts Johannes M F G
Department of Medical Biochemistry, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands.
Centre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
PLoS One. 2015 Oct 16;10(10):e0140097. doi: 10.1371/journal.pone.0140097. eCollection 2015.
Quantitative proteomic analysis with mass spectrometry holds great promise for simultaneously quantifying proteins in various biosamples, such as human plasma. Thus far, studies addressing the reproducible measurement of endogenous protein concentrations in human plasma have focussed on targeted analyses employing isotopically labelled standards. Non-targeted proteomics, on the other hand, has been less employed to this end, even though it has been instrumental in discovery proteomics, generating large datasets in multiple fields of research.
Using a non-targeted mass spectrometric assay (LCMSE), we quantified abundant plasma proteins (43 mg/mL-40 ug/mL range) in human blood plasma specimens from 30 healthy volunteers and one blood serum sample (ProteomeXchange: PXD000347). Quantitative results were obtained by label-free mass spectrometry using a single internal standard to estimate protein concentrations. This approach resulted in quantitative results for 59 proteins (cut off ≥11 samples quantified) of which 41 proteins were quantified in all 31 samples and 23 of these with an inter-assay variability of ≤ 20%. Results for 7 apolipoproteins were compared with those obtained using isotope-labelled standards, while 12 proteins were compared to routine immunoassays. Comparison of quantitative data obtained by LCMSE and immunoassays showed good to excellent correlations in relative protein abundance (r = 0.72-0.96) and comparable median concentrations for 8 out of 12 proteins tested. Plasma concentrations of 56 proteins determined by LCMSE were of similar accuracy as those reported by targeted studies and 7 apolipoproteins quantified by isotope-labelled standards, when compared to reference concentrations from literature.
This study shows that LCMSE offers good quantification of relative abundance as well as reasonable estimations of concentrations of abundant plasma proteins.
质谱定量蛋白质组学分析在同时定量各种生物样品(如人血浆)中的蛋白质方面具有巨大潜力。到目前为止,针对人血浆中内源性蛋白质浓度的可重复测量的研究主要集中在使用同位素标记标准品的靶向分析上。另一方面,非靶向蛋白质组学在这方面的应用较少,尽管它在发现蛋白质组学中发挥了重要作用,在多个研究领域生成了大量数据集。
我们使用非靶向质谱分析法(LCMSE)对来自30名健康志愿者的人血浆样本和一份血清样本(ProteomeXchange:PXD000347)中的丰富血浆蛋白(浓度范围为43 mg/mL至40 μg/mL)进行了定量。通过无标记质谱法使用单一内标来估计蛋白质浓度从而获得定量结果。这种方法得出了59种蛋白质的定量结果(定量样本数≥11个),其中41种蛋白质在所有31个样本中均被定量,并且其中23种蛋白质的批间变异系数≤20%。将7种载脂蛋白的结果与使用同位素标记标准品获得的结果进行了比较,同时将12种蛋白质的结果与常规免疫测定法的结果进行了比较。LCMSE与免疫测定法获得的定量数据比较显示,相对蛋白质丰度具有良好至极佳的相关性(r = 0.72 - 0.96),并且在测试的12种蛋白质中有8种的中位浓度相当。与文献中的参考浓度相比,LCMSE测定的56种蛋白质的血浆浓度与靶向研究报告的浓度以及通过同位素标记标准品定量的7种载脂蛋白的浓度具有相似的准确性。
本研究表明,LCMSE能够很好地定量相对丰度,并能合理估计丰富血浆蛋白的浓度。