Department of Applied Genomics, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Division of Pharmacology, Graduate School of Medicine, Kobe University, Chuo-ku, Kobe 650-0017, Japan.
J Proteome Res. 2022 Jun 3;21(6):1418-1427. doi: 10.1021/acs.jproteome.2c00023. Epub 2022 May 6.
The evolution of mass spectrometry (MS) and analytical techniques has led to the demand for proteome analysis with high proteome coverage in single-shot measurements. Focus has been placed on data-independent acquisition (DIA)-MS and ion mobility spectrometry as techniques for deep proteome analysis. We aimed to expand the proteome coverage by single-shot measurements using optimizing high-field asymmetric waveform ion mobility spectrometry parameters in DIA-MS. With our established proteome analysis system, more than 10,000 protein groups were identified from HEK293 cell digests within 120 min of MS measurement time. Additionally, we applied our approach to the analysis of host proteins in mouse feces and detected as many as 892 host protein groups (771 upregulated/121 downregulated proteins) in a mouse model of repeated social defeat stress (R-SDS) used in studying depression. Interestingly, 285 proteins elevated by R-SDS were related to mental disorders. The fecal host protein profiling by deep proteome analysis may help us understand mental illness pathologies noninvasively. Thus, our approach will be helpful for an in-depth comparison of protein expression levels for biological and medical research because it enables the analysis of highly proteome coverage in a single-shot measurement.
质谱(MS)和分析技术的发展使得人们需要在单次测量中进行具有高蛋白质组覆盖率的蛋白质组分析。研究重点集中在数据非依赖性采集(DIA)-MS 和离子淌度谱作为深度蛋白质组分析的技术上。我们旨在通过优化 DIA-MS 中的高场非对称波形离子淌度谱参数来扩展单次测量的蛋白质组覆盖率。使用我们建立的蛋白质组分析系统,在 120 分钟的 MS 测量时间内,从 HEK293 细胞消化物中鉴定出超过 10000 个蛋白质组。此外,我们将我们的方法应用于分析小鼠粪便中的宿主蛋白,并在用于研究抑郁症的重复社交挫败应激(R-SDS)的小鼠模型中检测到多达 892 个宿主蛋白质组(771 个上调/121 个下调蛋白)。有趣的是,R-SDS 升高的 285 种蛋白质与精神障碍有关。通过深度蛋白质组分析进行的粪便宿主蛋白质组分析可能有助于我们非侵入性地了解精神疾病的病理。因此,我们的方法将有助于生物和医学研究中深入比较蛋白质表达水平,因为它可以在单次测量中分析高度蛋白质组覆盖率。