Molecular & Cell Biophysics Laboratory, University of Pennsylvania; Philadelphia PA USA; Center for Systems and Computational Biology; Wistar Institute; Philadelphia PA USA.
Molecular & Cell Biophysics Laboratory, University of Pennsylvania; Philadelphia PA USA.
Nucleus. 2013 Nov-Dec;4(6):450-9. doi: 10.4161/nucl.27413. Epub 2013 Dec 6.
Label-free quantitation and characterization of proteins by mass spectrometry (MS) is now feasible, especially for moderately expressed structural proteins such as lamins that typically yield dozens of tryptic peptides from tissue cells. Using standard cell culture samples, we describe general algorithms for quantitative analysis of peptides identified in liquid chromatography tandem mass spectrometry (LC-MS/MS). The algorithms were foundational to the discovery that the absolute stoichiometry of A-type to B-type lamins scales with tissue stiffness (Swift et al., Science 2013). Isoform dominance helps make sense of why mutations and changes with age of mechanosensitive lamin-A,C only affect "stiff" tissues such as heart, muscle, bone, or even fat, but not brain. A Peak Ratio Fingerprinting (PRF) algorithm is elaborated here through its application to lamin-A,C knockdown. After demonstrating the large dynamic range of PRF using calibrated mixtures of human and mouse lysates, we validate measurements of partial knockdown with standard cell biology analyses using quantitative immunofluorescence and immunoblotting. Optimal sets of MS-detected peptides as determined by PRF demonstrate that the strongest peptide signals are not necessarily the most reliable for quantitation. After lamin-A,C knockdown, PRF computes an invariant set of "housekeeping" proteins as part of a broader proteomic analysis that also shows the proteome of mesenchymal stem cells (MSCs) is more broadly perturbed than that of a human epithelial cancer line (A549s), with particular variation in nuclear and cytoskeletal proteins. These methods offer exciting prospects for basic and clinical studies of lamin-A,C as well as other MS-detectable proteins.
基于质谱(MS)的无标记定量和蛋白质表征现在已经成为可能,特别是对于中度表达的结构蛋白,如核纤层蛋白,它们通常可以从组织细胞中产生数十种胰蛋白酶肽。使用标准的细胞培养样本,我们描述了用于定量分析液相色谱串联质谱(LC-MS/MS)中鉴定的肽的通用算法。这些算法是发现 A 型和 B 型核纤层蛋白的绝对化学计量与组织硬度成正比的基础(Swift 等人,Science 2013)。同工型优势有助于理解为什么机械敏感的核纤层蛋白-A,C 的突变和随年龄的变化仅影响“硬”组织,如心脏、肌肉、骨骼,甚至脂肪,但不影响大脑。这里详细阐述了一种峰比指纹(PRF)算法,通过其在核纤层蛋白-A,C 敲低中的应用进行说明。在用校准的人源和鼠源裂解物混合物演示了 PRF 的大动态范围后,我们使用定量免疫荧光和免疫印迹等标准细胞生物学分析验证了部分敲低的测量值。PRF 通过最佳的 MS 检测肽集来确定,表明最强的肽信号不一定是定量最可靠的。在核纤层蛋白-A,C 敲低后,PRF 计算了一组不变的“管家”蛋白作为更广泛蛋白质组分析的一部分,该分析还表明间充质干细胞(MSCs)的蛋白质组比人上皮癌细胞系(A549s)受到更广泛的干扰,特别是在核和细胞骨架蛋白中。这些方法为核纤层蛋白-A,C 以及其他 MS 可检测蛋白的基础和临床研究提供了令人兴奋的前景。