• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

分步评估和优化 1000 个哺乳动物细胞纳米蛋白质组分析样本处理回收率。

Step-Wise Assessment and Optimization of Sample Handling Recovery Yield for Nanoproteomic Analysis of 1000 Mammalian Cells.

出版信息

Anal Chem. 2019 Aug 20;91(16):10395-10400. doi: 10.1021/acs.analchem.9b02092. Epub 2019 Aug 1.

DOI:10.1021/acs.analchem.9b02092
PMID:31318197
Abstract

Protein and peptide adhesion is a major factor contributing to sample loss during proteomic sample preparation workflows. Sample loss often has detrimental effects on the quality of proteomic analysis by compromising protein identification and data reproducibility. When starting with a low sample amount, only the most abundant proteins can be identified, which often offers little insights for biological research. Although the general idea about severe sample loss from low amount of starting material is widely presumed in the proteomics field, quantitative assessment on the impact of sample loss has been poorly investigated. In the present study, we have quantitatively assessed sample loss during each step of a conventional in-solution sample preparation workflow using bicinchoninic acid (BCA) and targeted LC/MS/MS protein and peptide assays. According to our assessment, for starting materials of ∼1000 mammalian cells, surface adhesion, along with desalting and speed-vacuum drying steps, all contribute heavily to sample loss, in particular for low-abundance proteins. With this knowledge, we have adapted slippery liquid infused porous surface (SLIPS) treatment, commercial LoBind tubes, and in-line desalting during sample processing. With these improvements, we were able to use a conventional in-solution sample handling method to identify on average 829 proteins with 1000 U2OS osteosarcoma cells (∼100 ng) with 75-min LC/MS/MS runs, an 11-fold increase in protein identification. Our optimized in-solution workflow is straightforward and also much less equipment- and technique-demanding than other advanced sample preparation protocols in the field.

摘要

蛋白质和肽的黏附是蛋白质组学样品制备过程中样品损失的主要因素。样品损失通常会对蛋白质组学分析的质量产生不利影响,因为它会影响蛋白质的鉴定和数据重现性。当起始样品量较低时,只能鉴定出最丰富的蛋白质,这通常对生物研究提供不了多少见解。尽管在蛋白质组学领域广泛认为从低起始量的材料中会有严重的样品损失,但对样品损失的影响的定量评估研究得很少。在本研究中,我们使用二辛可宁酸(BCA)和靶向 LC/MS/MS 蛋白质和肽分析定量评估了常规溶液样品制备工作流程中每一步的样品损失。根据我们的评估,对于约 1000 个哺乳动物细胞的起始材料,表面黏附以及脱盐和真空干燥步骤都对样品损失有很大的影响,特别是对低丰度蛋白质。有了这些知识,我们在样品处理过程中适应了滑液注入多孔表面(SLIPS)处理、商用 LoBind 管和在线脱盐。通过这些改进,我们能够使用常规的溶液样品处理方法,使用 1000 U2OS 骨肉瘤细胞(约 100ng)平均鉴定 829 种蛋白质,LC/MS/MS 运行时间为 75 分钟,蛋白质鉴定数量增加了 11 倍。我们优化的溶液处理工作流程简单,并且比该领域的其他先进样品制备方案要求的设备和技术少得多。

相似文献

1
Step-Wise Assessment and Optimization of Sample Handling Recovery Yield for Nanoproteomic Analysis of 1000 Mammalian Cells.分步评估和优化 1000 个哺乳动物细胞纳米蛋白质组分析样本处理回收率。
Anal Chem. 2019 Aug 20;91(16):10395-10400. doi: 10.1021/acs.analchem.9b02092. Epub 2019 Aug 1.
2
Automation of peptide desalting for proteomic liquid chromatography - tandem mass spectrometry by centrifugal microfluidics.用于蛋白质组液相色谱-串联质谱分析的肽段脱盐的离心微流控自动化技术。
Lab Chip. 2021 Jun 1;21(11):2255-2264. doi: 10.1039/d1lc00137j.
3
Multiparameter Optimization of Two Common Proteomics Quantification Methods for Quantifying Low-Abundance Proteins.两种常见蛋白质组学定量方法用于定量低丰度蛋白质的多参数优化。
J Proteome Res. 2019 Jan 4;18(1):461-468. doi: 10.1021/acs.jproteome.8b00769. Epub 2018 Nov 26.
4
Automated "Cells-To-Peptides" Sample Preparation Workflow for High-Throughput, Quantitative Proteomic Assays of Microbes.自动化“细胞到肽”样本制备工作流程,用于高通量、定量微生物蛋白质组学分析。
J Proteome Res. 2019 Oct 4;18(10):3752-3761. doi: 10.1021/acs.jproteome.9b00455. Epub 2019 Aug 30.
5
High throughput and accurate serum proteome profiling by integrated sample preparation technology and single-run data independent mass spectrometry analysis.通过集成样本制备技术和单次运行数据独立质谱分析实现高通量和高准确度的血清蛋白质组分析。
J Proteomics. 2018 Mar 1;174:9-16. doi: 10.1016/j.jprot.2017.12.014. Epub 2017 Dec 24.
6
NanoTPOT: Enhanced Sample Preparation for Quantitative Nanoproteomic Analysis.NanoTPOT:增强型定量纳米蛋白质组分析样品制备。
Anal Chem. 2020 May 5;92(9):6235-6240. doi: 10.1021/acs.analchem.0c00077. Epub 2020 Apr 20.
7
Evaluation of FASP, SP3, and iST Protocols for Proteomic Sample Preparation in the Low Microgram Range.评价 FASP、SP3 和 iST 三种方法在低微克范围内进行蛋白质组学样品制备的效果。
J Proteome Res. 2017 Nov 3;16(11):4060-4072. doi: 10.1021/acs.jproteome.7b00433. Epub 2017 Oct 11.
8
Highly Reproducible Automated Proteomics Sample Preparation Workflow for Quantitative Mass Spectrometry.高通量可重现的自动化蛋白质组学样品制备工作流程用于定量质谱分析。
J Proteome Res. 2018 Jan 5;17(1):420-428. doi: 10.1021/acs.jproteome.7b00623. Epub 2017 Nov 10.
9
An off-line high pH reversed-phase fractionation and nano-liquid chromatography-mass spectrometry method for global proteomic profiling of cell lines.一种用于细胞系整体蛋白质组分析的离线高pH反相分级分离和纳升液相色谱-质谱联用方法。
J Chromatogr B Analyt Technol Biomed Life Sci. 2015 Jan 1;974:90-5. doi: 10.1016/j.jchromb.2014.10.031. Epub 2014 Nov 4.
10
Integrated SDS removal and peptide separation by strong-cation exchange liquid chromatography for SDS-assisted shotgun proteome analysis.通过强阳离子交换液相色谱法去除 SDS 并分离肽段,用于 SDS 辅助的 shotgun 蛋白质组分析。
J Proteome Res. 2012 Feb 3;11(2):818-28. doi: 10.1021/pr200676v. Epub 2012 Jan 24.

引用本文的文献

1
MS-based Solutions for Single Cell Proteomics.基于质谱的单细胞蛋白质组学解决方案。
Genomics Proteomics Bioinformatics. 2025 Feb 22. doi: 10.1093/gpbjnl/qzaf012.
2
High-Recovery Desalting Tip Columns for a Wide Variety of Peptides in Mass Spectrometry-Based Proteomics.用于基于质谱的蛋白质组学中多种肽段的高回收率脱盐尖柱
Anal Chem. 2024 Dec 31;96(52):20390-20397. doi: 10.1021/acs.analchem.4c03753. Epub 2024 Dec 16.
3
Single-cell omics: experimental workflow, data analyses and applications.单细胞组学:实验工作流程、数据分析及应用
Sci China Life Sci. 2025 Jan;68(1):5-102. doi: 10.1007/s11427-023-2561-0. Epub 2024 Jul 23.
4
Quenching Trypsin Is Unnecessary in Filter-Based Bottom-Up Proteomics.基于过滤的自上而下蛋白质组学中无需胰酶抑制。
J Am Soc Mass Spectrom. 2024 Aug 7;35(8):2028-2031. doi: 10.1021/jasms.4c00143. Epub 2024 Jul 9.
5
Fully Integrated Online Strategy for Highly Sensitive Proteome Profiling.高度敏感蛋白质组分析的完全集成在线策略。
Methods Mol Biol. 2024;2817:57-65. doi: 10.1007/978-1-0716-3934-4_6.
6
The rise of single-cell proteomics.单细胞蛋白质组学的兴起。
Anal Sci Adv. 2021 Feb 1;2(3-4):84-94. doi: 10.1002/ansa.202000152. eCollection 2021 Apr.
7
The endohyphal microbiome: current progress and challenges for scaling down integrative multi-omic microbiome research.菌内微生物组:整合多组学微生物组研究规模缩小的当前进展和挑战。
Microbiome. 2023 Aug 26;11(1):192. doi: 10.1186/s40168-023-01634-7.
8
An automated spray-capillary platform for the microsampling and CE-MS analysis of picoliter- and nanoliter-volume samples.一种自动化喷雾毛细管平台,用于微采样和皮升及纳升体积样品的 CE-MS 分析。
Anal Bioanal Chem. 2023 Nov;415(28):6961-6973. doi: 10.1007/s00216-023-04870-w. Epub 2023 Aug 15.
9
One-STAGE Tip Method for TMT-Based Proteomic Analysis of a Minimal Amount of Cells.基于串联质谱标签(TMT)的微量细胞蛋白质组分析的单阶段尖端方法
ACS Omega. 2023 May 24;8(22):19741-19751. doi: 10.1021/acsomega.3c01392. eCollection 2023 Jun 6.
10
Label-free single cell proteomics utilizing ultrafast LC and MS instrumentation: A valuable complementary technique to multiplexing.利用超快速液相色谱和质谱仪器的无标记单细胞蛋白质组学:一种对多重分析有价值的补充技术。
Proteomics. 2023 Jul;23(13-14):e2200162. doi: 10.1002/pmic.202200162. Epub 2023 Mar 1.