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SpotLight Proteomics: uncovering the hidden blood proteome improves diagnostic power of proteomics

机译:SpotLight蛋白质组学:发现隐藏的血液蛋白质组可提高蛋白质组学的诊断能力

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摘要

The human blood proteome is frequently assessed by protein abundance profiling using a combination of liquid chromatography and tandem mass spectrometry (LC-MS/MS). In traditional sequence database search, many good-quality MS/MS data remain unassigned. Here we uncover the hidden part of the blood proteome via novel SpotLight approach. This method combines de novo MS/MS sequencing of enriched antibodies and co-extracted proteins with subsequent label-free quantification of new and known peptides in both enriched and unfractionated samples. In a pilot study on differentiating early stages of Alzheimer’s disease (AD) from Dementia with Lewy Bodies (DLB), on peptide level the hidden proteome contributed almost as much information to patient stratification as the apparent proteome. Intriguingly, many of the new peptide sequences are attributable to antibody variable regions, and are potentially indicative of disease etiology. When the hidden and apparent proteomes are combined, the accuracy of differentiating AD (n = 97) and DLB (n = 47) increased from ≈85% to ≈95%. The low added burden of SpotLight proteome analysis makes it attractive for use in clinical settings.
机译:经常使用液相色谱和串联质谱(LC-MS / MS)结合蛋白质丰度分析来评估人血蛋白质组。在传统的序列数据库搜索中,许多高质量的MS / MS数据仍未分配。在这里,我们通过新颖的SpotLight方法揭示了血液蛋白质组的隐藏部分。该方法将富集抗体和共提取蛋白的从头MS / MS测序与富集和未分离样品中新肽和已知肽的后续无标记定量结合起来。在一项关于区分阿尔茨海默氏病(AD)和痴呆症与路易小体(DLB)的早期研究中,在肽水平上,隐性蛋白质组对患者分层的贡献几乎与表观蛋白质组一样多。有趣的是,许多新的肽序列可归因于抗体可变区,并潜在地指示疾病病因。当隐藏的和明显的蛋白质组结合在一起时,区分AD(n = 97)和DLB(n = accuracy47)的准确性从≈85%增加到≈95%。 SpotLight蛋白质组分析的低负担使其在临床环境中具有吸引力。

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