Deep Profiling of Plasma Proteoforms with Engineered Nanoparticles for Top-Down Proteomics.

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Che-Fan Huang, Michael A Hollas, Aniel Sanchez, Mrittika Bhattacharya, Giang Ho, Ambika Sundaresan, Michael A Caldwell, Xiaoyan Zhao, Ryan Benz, Asim Siddiqui, Neil L Kelleher
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引用次数: 0

Abstract

The dynamic range challenge for the detection of proteins and their proteoforms in human plasma has been well documented. Here, we use the nanoparticle protein corona approach to enrich low-abundance proteins selectively and reproducibly from human plasma and use top-down proteomics to quantify differential enrichment for the 2841 detected proteoforms from 114 proteins. Furthermore, nanoparticle enrichment allowed top-down detection of proteoforms between ∼1 μg/mL and ∼10 pg/mL in absolute abundance, providing up to a 105-fold increase in proteome depth over neat plasma in which only proteoforms from abundant proteins (>1 μg/mL) were detected. The ability to monitor medium and some low-abundant proteoforms through reproducible enrichment significantly extends the applicability of proteoform research by adding depth beyond albumin, immunoglobins, and apolipoproteins to uncover many involved in immunity and cell signaling. As proteoforms carry unique information content relative to peptides, this report opens the door to deeper proteoform sequencing in clinical proteomics of disease or aging cohorts.

利用工程纳米颗粒深入剖析血浆蛋白形式,实现自上而下的蛋白质组学。
人类血浆中蛋白质及其蛋白形式的检测所面临的动态范围挑战已得到充分证实。在这里,我们使用纳米粒子蛋白质电晕方法从人血浆中选择性地、可重复地富集低丰度蛋白质,并使用自上而下的蛋白质组学方法量化了从 114 种蛋白质中检测到的 2841 种蛋白质形式的富集差异。此外,纳米粒子富集技术还能自上而下地检测绝对丰度在 1 μg/mL 至 10 pg/mL 之间的蛋白质形式,与只检测丰度蛋白质(>1 μg/mL)的纯血浆相比,蛋白质组深度增加了 105 倍。通过可重复性富集来监测中等含量和一些低含量蛋白形式的能力大大扩展了蛋白形式研究的适用性,其深度超越了白蛋白、免疫球蛋白和脂蛋白,从而发现了许多参与免疫和细胞信号传导的蛋白形式。与肽段相比,蛋白质形态具有独特的信息含量,因此该报告为疾病或老化队列的临床蛋白质组学中更深入的蛋白质形态测序打开了大门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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