The $10 proteome: low-cost, deep and quantitative proteome profiling of limited sample amounts using the Orbitrap Astral and timsTOF Ultra 2 mass spectrometers.

Siqi Huang, Chao Wang, Hsien-Jung L Lin, Ryan T Kelly
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Abstract

Mass spectrometry (MS)-based proteomics remains technically demanding and prohibitively expensive for many large-scale or routine applications, with per-sample costs of hundreds of dollars or more. To democratize access to proteomics and facilitate its integration into more high-throughput multi-omic studies, we present a robust analytical framework for achieving in-depth, quantitative proteome profiling at a cost of approximately $10 per sample, termed the "$10 proteome." Using the Thermo Fisher Orbitrap Astral and Bruker timsTOF Ultra 2 mass spectrometers, we evaluated performance across sample inputs ranging from 200 pg to 100 ng and active gradient lengths from 5 to 60 minutes. Proteome coverage saturated within the low-nanogram input range, with ~8000 protein groups quantified from as little as 10 ng of input and nearly 6000 protein groups from 200 pg. With already demonstrated low-cost one-pot sample preparation workflows that are appropriate for this sample input range, standardized MS acquisition settings, and high-throughput nanoLC operated at ~10 min per sample, the $10 proteome becomes feasible. This study establishes a practical, scalable, and cost-effective foundation for global proteome profiling, paving the way for routine, large-scale applications in systems biology, clinical research and beyond.

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10美元的蛋白质组:使用Orbitrap Astral和timsTOF Ultra 2质谱仪对有限样品进行低成本、深度和定量的蛋白质组分析。
基于质谱(MS)的蛋白质组学在技术上仍然要求很高,而且对于许多大规模或常规应用来说价格昂贵,每个样品的成本高达数百美元或更多。为了使蛋白质组学大众化,并促进其与更多高通量多组学研究的整合,我们提出了一个强大的分析框架,用于实现深入、定量的蛋白质组分析,每个样品的成本约为10美元,称为“10美元蛋白质组”。使用Thermo Fisher Orbitrap Astral和Bruker timsTOF Ultra 2质谱仪,我们评估了样品输入范围从200 pg到100 ng,有效梯度长度从5到60分钟的性能。蛋白质组的覆盖范围在低纳克输入范围内达到饱和,从10纳克输入中定量到约8000个蛋白质组,从200毫克输入中定量到近6000个蛋白质组。已经证明了适用于该样品输入范围的低成本单锅样品制备工作流程,标准化的质谱采集设置,以及每个样品在10分钟内操作的高通量nanoLC, 10美元的蛋白质组变得可行。本研究为全球蛋白质组分析建立了一个实用的、可扩展的、具有成本效益的基础,为系统生物学、临床研究等领域的常规、大规模应用铺平了道路。
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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