Academic Medical Center, University of Amsterdam, 1100 DD Amsterdam, The Netherlands.
Genomics Proteomics Bioinformatics. 2013 Jun;11(3):182-94. doi: 10.1016/j.gpb.2013.02.002. Epub 2013 Apr 2.
Candidate protein biomarker discovery by full automatic integration of Orbitrap full MS1 spectral peptide profiling and X!Tandem MS2 peptide sequencing is investigated by analyzing mass spectra from brain tumor samples using Peptrix. Potential protein candidate biomarkers found for angiogenesis are compared with those previously reported in the literature and obtained from previous Fourier transform ion cyclotron resonance (FT-ICR) peptide profiling. Lower mass accuracy of peptide masses measured by Orbitrap compared to those measured by FT-ICR is compensated by the larger number of detected masses separated by liquid chromatography (LC), which can be directly linked to protein identifications. The number of peptide sequences divided by the number of unique sequences is 9248/6911≈1.3. Peptide sequences appear 1.3 times redundant per up-regulated protein on average in the peptide profile matrix, and do not seem always up-regulated due to tailing in LC retention time (40%), modifications (40%) and mass determination errors (20%). Significantly up-regulated proteins found by integration of X!Tandem are described in the literature as tumor markers and some are linked to angiogenesis. New potential biomarkers are found, but need to be validated independently. Eventually more proteins could be found by actively involving MS2 sequence information in the creation of the MS1 peptide profile matrix.
通过使用 Peptrix 分析脑肿瘤样本的质谱,研究了通过全自动化整合 Orbitrap 全 MS1 谱肽分析和 X!Tandem MS2 肽测序来发现候选蛋白生物标志物的方法。与以前文献中报道的和以前傅里叶变换离子回旋共振(FT-ICR)肽分析中获得的血管生成的潜在蛋白候选生物标志物进行了比较。与 FT-ICR 相比,Orbitrap 测量的肽质量的质量精度较低,但通过液相色谱(LC)分离的检测到的质量数量较大,可以直接与蛋白质鉴定相关联。通过 Orbitrap 测量的肽序列数量除以独特序列数量为 9248/6911≈1.3。在肽图谱矩阵中,每个上调蛋白的肽序列平均重复出现 1.3 次,并且由于 LC 保留时间(40%)、修饰(40%)和质量测定误差(20%)的滞后,似乎并不总是上调。通过整合 X!Tandem 发现的显著上调蛋白在文献中被描述为肿瘤标志物,其中一些与血管生成有关。发现了新的潜在生物标志物,但需要独立验证。最终,可以通过在 MS1 肽图谱矩阵的创建中主动纳入 MS2 序列信息来找到更多的蛋白质。