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使用9.4特斯拉傅里叶变换离子回旋共振质谱仪对酶解蛋白质和蛋白质混合物进行分析。

Analysis of enzymatically digested proteins and protein mixtures using a 9.4 Tesla Fourier transform ion cyclotron mass spectrometer.

作者信息

Palmblad M, Wetterhall M, Markides K, Håkansson P, Bergquist J

机构信息

Division of Ion Physics, The Angström Laboratory, Uppsala University, Box 534, SE-751 21 Uppsala, Sweden.

出版信息

Rapid Commun Mass Spectrom. 2000;14(12):1029-34. doi: 10.1002/1097-0231(20000630)14:12<1029::AID-RCM984>3.0.CO;2-#.

Abstract

A commercially available 9.4 Tesla Fourier transform ion cyclotron resonance (FTICR) mass spectrometer was applied in the analysis of tryptic digests of protein mixtures without any separation. First, the method was demonstrated on a mixture of tryptic digests of equine cytochrome c, equine myoglobin and bovine serum albumin. The same method was then applied to human plasma from a healthy blood donor. Computer programs were employed to simplify analysis of the complex spectra. The 2745 peaks in the human plasma electrospray ionization FTICR spectrum could be reduced to 1165 isotopic clusters and 669 unique masses. Out of these, 82 masses matched tryptic fragments of serum albumin with mass measurement errors less than 10 ppm, covering 93% of the sequence. Another 16 masses were assigned to tryptic fragments of transferrin, covering 41% of the sequence on the 10 ppm mass measurement error level (14 within 2 ppm). The mass measurement errors were approximately normal distributed with a standard deviation of 1.7 ppm. This demonstrates the feasibility of combining the ultra-high mass resolving power and accuracy of FTICR mass spectrometry with automated computer analysis for investigating complex biological matrices.

摘要

一台市售的9.4特斯拉傅里叶变换离子回旋共振(FTICR)质谱仪被用于分析未经任何分离的蛋白质混合物的胰蛋白酶消化产物。首先,该方法在马细胞色素c、马肌红蛋白和牛血清白蛋白的胰蛋白酶消化产物混合物上进行了验证。然后,将相同的方法应用于来自健康献血者的人血浆。使用计算机程序简化对复杂光谱的分析。人血浆电喷雾电离FTICR光谱中的2745个峰可减少为1165个同位素簇和669个独特质量数。其中,82个质量数与血清白蛋白的胰蛋白酶片段匹配,质量测量误差小于10 ppm,覆盖了93%的序列。另外16个质量数被指定为转铁蛋白的胰蛋白酶片段,在10 ppm质量测量误差水平下覆盖了41%的序列(14个在2 ppm以内)。质量测量误差近似呈正态分布,标准差为1.7 ppm。这证明了将FTICR质谱仪的超高质量分辨能力和准确性与自动化计算机分析相结合用于研究复杂生物基质的可行性。

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