Reyes Andres V, Shrestha Ruben, Baker Peter R, Chalkley Robert J, Xu Shou-Ling
Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, United States.
Carnegie Mass Spectrometry Facility, Carnegie Institution for Science, Stanford, CA, United States.
Front Plant Sci. 2022 May 3;13:832585. doi: 10.3389/fpls.2022.832585. eCollection 2022.
Accurate relative quantification is critical in proteomic studies. The incorporation of stable isotope N to plant-expressed proteins is a powerful tool for accurate quantification with a major advantage of reducing preparative and analytical variabilities. However, N labeling quantification has several challenges. Less identifications are often observed in the heavy-labeled samples because of incomplete labeling, resulting in missing values in reciprocal labeling experiments. Inaccurate quantification can happen when there is contamination from co-eluting peptides or chemical noise in the MS survey scan. These drawbacks in quantification can be more pronounced in less abundant but biologically interesting proteins, which often have very few identified peptides. Here, we demonstrate the application of parallel reaction monitoring (PRM) to N labeled samples on a high resolution, high mass accuracy Orbitrap mass spectrometer to achieve reliable quantification even of low abundance proteins in samples.
在蛋白质组学研究中,准确的相对定量至关重要。将稳定同位素N掺入植物表达的蛋白质中是一种用于准确定量的强大工具,其主要优点是减少制备和分析的变异性。然而,N标记定量存在若干挑战。由于标记不完全,在重标记样品中经常观察到较少的鉴定结果,导致在相互标记实验中出现缺失值。当存在共洗脱肽的污染或质谱全扫描中的化学噪声时,可能会发生不准确的定量。这些定量方面的缺点在丰度较低但具有生物学意义的蛋白质中可能更为明显,这些蛋白质通常鉴定出的肽段很少。在这里,我们展示了在高分辨率、高质量精度的轨道阱质谱仪上对N标记样品应用平行反应监测(PRM),以实现对样品中低丰度蛋白质的可靠定量。