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骨骼肌的无标记液相色谱-质谱分析揭示心脏型脂肪酸结合蛋白作为有氧能力的候选生物标志物。

Label-Free LC-MS Profiling of Skeletal Muscle Reveals Heart-Type Fatty Acid Binding Protein as a Candidate Biomarker of Aerobic Capacity.

作者信息

Malik Zulezwan Ab, Cobley James N, Morton James P, Close Graeme L, Edwards Ben J, Koch Lauren G, Britton Steven L, Burniston Jatin G

机构信息

Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK.

Department of Anesthesiology, University of Michigan, Ann Arbor, MI 48109-2200, USA.

出版信息

Proteomes. 2013 Dec 1;1(3):290-308. doi: 10.3390/proteomes1030290.

DOI:10.3390/proteomes1030290
PMID:24772389
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3997170/
Abstract

Two-dimensional gel electrophoresis provides robust comparative analysis of skeletal muscle, but this technique is laborious and limited by its inability to resolve all proteins. In contrast, orthogonal separation by SDS-PAGE and reverse-phase liquid chromatography (RPLC) coupled to mass spectrometry (MS) affords deep mining of the muscle proteome, but differential analysis between samples is challenging due to the greater level of fractionation and the complexities of quantifying proteins based on the abundances of their tryptic peptides. Here we report simple, semi-automated and time efficient (., 3 h per sample) proteome profiling of skeletal muscle by 1-dimensional RPLC electrospray ionisation tandem MS. Solei were analysed from rats (n = 5, in each group) bred as either high- or low-capacity runners (HCR and LCR, respectively) that exhibited a 6.4-fold difference (1,625 ± 112 m . 252 ± 43 m, < 0.0001) in running capacity during a standardized treadmill test. Soluble muscle proteins were extracted, digested with trypsin and individual biological replicates (50 ng of tryptic peptides) subjected to LC-MS profiling. Proteins were identified by triplicate LC-MS/MS analysis of a pooled sample of each biological replicate. Differential expression profiling was performed on relative abundances (RA) of parent ions, which spanned three orders of magnitude. In total, 207 proteins were analysed, which encompassed almost all enzymes of the major metabolic pathways in skeletal muscle. The most abundant protein detected was type I myosin heavy chain (RA = 5,843 ± 897) and the least abundant protein detected was heat shock 70 kDa protein (RA = 2 ± 0.5). Sixteen proteins were significantly ( < 0.05) more abundant in HCR muscle and hierarchal clustering of the profiling data highlighted two protein subgroups, which encompassed proteins associated with either the respiratory chain or fatty acid oxidation. Heart-type fatty acid binding protein (FABPH) was 1.54-fold ( = 0.0064) more abundant in HCR than LCR soleus. This discovery was verified using selective reaction monitoring (SRM) of the y5 ion (551.21 ) of the doubly-charged peptide SLGVGFATR (454.19 ) of residues 23-31 of FABPH. SRM was conducted on technical replicates of each biological sample and exhibited a coefficient of variation of 20%. The abundance of FABPH measured by SRM was 2.84-fold greater ( = 0.0095) in HCR muscle. In addition, SRM of FABPH was performed in vastus lateralis samples of young and elderly humans with different habitual activity levels (collected during a previous study) finding FABPH abundance was 2.23-fold greater ( = 0.0396) in endurance-trained individuals regardless of differences in age. In summary, our findings in HCR/LCR rats provide protein-level confirmation for earlier transcriptome profiling work and show LC-MS is a viable means of profiling the abundance of almost all major metabolic enzymes of skeletal muscle in a highly parallel manner. Moreover, our approach is relatively more time efficient than techniques relying on orthogonal separations, and we demonstrate LC-MS profiling of the HCR/LCR selection model was able to highlight biomarkers that also exhibit differences in trained and untrained human muscle.

摘要

二维凝胶电泳可对骨骼肌进行有力的比较分析,但该技术操作繁琐,且因无法解析所有蛋白质而受到限制。相比之下,通过十二烷基硫酸钠聚丙烯酰胺凝胶电泳(SDS-PAGE)和反相液相色谱(RPLC)与质谱(MS)联用的正交分离方法,能够对肌肉蛋白质组进行深度挖掘,但由于分级程度更高以及基于胰蛋白酶肽段丰度对蛋白质进行定量的复杂性,样本间的差异分析具有挑战性。在此,我们报告了一种通过一维RPLC电喷雾电离串联质谱对骨骼肌进行简单、半自动且高效(即每个样本3小时)的蛋白质组分析方法。对分别培育为高容量或低容量跑步者(分别为HCR和LCR)的大鼠(每组n = 5)的比目鱼肌进行分析,在标准化跑步机测试中,它们的跑步能力存在6.4倍的差异(1,625 ± 112米对252 ± 43米,P < 0.0001)。提取可溶性肌肉蛋白质,用胰蛋白酶消化,并对各个生物学重复样本(50纳克胰蛋白酶肽段)进行LC-MS分析。通过对每个生物学重复样本的混合样本进行三次LC-MS/MS分析来鉴定蛋白质。对母离子的相对丰度(RA)进行差异表达分析,其范围跨越三个数量级。总共分析了207种蛋白质,几乎涵盖了骨骼肌主要代谢途径的所有酶。检测到的最丰富蛋白质是I型肌球蛋白重链(RA = 5,843 ± 897),检测到的最不丰富蛋白质是热休克70 kDa蛋白(RA = 2 ± 0.5)。16种蛋白质在HCR肌肉中显著(P < 0.05)更为丰富,分析数据的层次聚类突出了两个蛋白质亚组,其中包括与呼吸链或脂肪酸氧化相关的蛋白质。心脏型脂肪酸结合蛋白(FABPH)在HCR比目鱼肌中的丰度比LCR高1.54倍(P = 0.0064)。使用FABPH第23 - 31位残基的双电荷肽SLGVGFATR(454.19)的y5离子(551.21)的选择性反应监测(SRM)对这一发现进行了验证。对每个生物学样本的技术重复进行SRM,变异系数为20%。通过SRM测量,HCR肌肉中FABPH的丰度高2.84倍(P = 0.0095)。此外,在之前一项研究中收集的不同习惯性活动水平的年轻和老年人类的股外侧肌样本中对FABPH进行SRM,发现无论年龄差异如何,耐力训练个体中FABPH的丰度高2.23倍(P = 0.0396)。总之,我们在HCR/LCR大鼠中的发现为早期转录组分析工作提供了蛋白质水平的证实,并表明LC-MS是以高度平行方式分析骨骼肌几乎所有主要代谢酶丰度的可行方法。此外,我们的方法比依赖正交分离的技术相对更省时,并且我们证明HCR/LCR选择模型的LC-MS分析能够突出在训练和未训练的人类肌肉中也存在差异的生物标志物。

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