Huang Siqi, Wang Chao, Lin Hsien-Jung L, Kelly Ryan T
Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT 84602.
bioRxiv. 2025 Jul 31:2025.07.29.667408. doi: 10.1101/2025.07.29.667408.
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.
基于质谱(MS)的蛋白质组学在技术上仍然要求很高,对于许多大规模或常规应用来说成本过高,每个样本的成本高达数百美元或更多。为了使蛋白质组学更易于获取,并促进其融入更多高通量多组学研究,我们提出了一个强大的分析框架,以大约每个样本10美元的成本实现深度、定量蛋白质组分析,即“10美元蛋白质组”。使用赛默飞世尔的Orbitrap Astral和布鲁克的timsTOF Ultra 2质谱仪,我们评估了在200皮克至100纳克的样本输入量以及5至60分钟的有效梯度长度范围内的性能。蛋白质组覆盖在低纳克输入范围内达到饱和,从低至10纳克的输入量中可定量约8000个蛋白质组,从200皮克中可定量近6000个蛋白质组。由于已经证明了适用于此样本输入范围的低成本一锅式样本制备工作流程、标准化的质谱采集设置以及每个样本约10分钟运行的高通量纳升液相色谱,“10美元蛋白质组”变得可行。这项研究为全球蛋白质组分析建立了一个实用、可扩展且具有成本效益的基础,为系统生物学、临床研究及其他领域的常规大规模应用铺平了道路。