中文版 | English
题名

Fully integrated on-line strategy for highly sensitive proteome profiling of 10-500 mammalian cells

作者
通讯作者Lam, Henry; Liu, Zhiyong; Tian, Ruijun
发表日期
2022-12-20
DOI
发表期刊
ISSN
0003-2654
EISSN
1364-5528
卷号148期号:1页码:120-127
摘要

Recent development in proteomic sample preparation using nanofluidic devices has made single-cell proteome profiling possible. However, these nanofluidic devices require special expertise and costly nanopipetting instruments. They are also specially designed for single cells, are not well-suited for profiling rare samples consisting of a few hundred mammalian cells, arguably a more common need that remains a great challenge. Herein, we developed an easy-to-use and scalable device for processing low-input samples, which combined the merits of previously reported rare cell proteomic reactor (RCPR) and mixed-mode simple and integrated spintip-based proteomics technology, as an alternative to nanofluidic devices. All steps of proteomics sample preparation, including protein preconcentration, impurity removal, reduction, alkylation, digestion, and desalting, were fully integrated in our workflow, and the device can be directly connected to online nanoLC-MS system after processing the rare samples. Using the developed 3-frit mixed-mode RCPR, we identified on average 946 +/- 158, 2 998 +/- 106, and 3 934 +/- 85 protein groups in data-dependent acquisition (DDA) mode from 10, 100, and 500 fluorescence-activated cell sorting (FACS)-sorted 293T cells, respectively. As an illustrative application of this technology, we performed a label-free proteome comparison of 500 FACS-sorted mouse cochlear hair cells of two different ages. On average, 2 595 +/- 230 and 2 042 +/- 120 protein groups were quantified in the juvenile and the adult samples in DDA mode, respectively, achieving dynamic ranges of over 6 orders of magnitude for both.

相关链接[来源记录]
收录类别
语种
英语
学校署名
第一 ; 通讯
资助项目
National Natural Science Foundation of China[
WOS研究方向
Chemistry
WOS类目
Chemistry, Analytical
WOS记录号
WOS:000891884600001
出版者
ESI学科分类
CHEMISTRY
来源库
Web of Science
引用统计
被引频次[WOS]:1
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/417076
专题理学院_化学系
生命科学学院_生物系
作者单位
1.Southern Univ Sci & Technol, Sch Sci, Dept Chem, 1088 Xueyuan Ave, Shenzhen 518055, Peoples R China
2.Hong Kong Univ Sci &Technol, Dept Chem & Biol Engn, Clear Water Bay, Kowloon, Hong Kong, Peoples R China
3.South China Inst Biomed, 83 Ruihe Rd, Guangzhou 510535, Peoples R China
4.Chinese Acad Sci, Inst Neurosci, CAS Ctr Excellence Brain Sci & Intelligence Techno, State Key Lab Neurosci, Shanghai 200031, Peoples R China
5.Southern Univ Sci & Technol, Dept Biol, 1088 Xueyuan Ave, Shenzhen 518055, Peoples R China
6.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med & Engn, Beijing 100191, Peoples R China
7.Beihang Univ, Key Lab Big Data Based Precis Med, Minist Ind & Informat Technol, Beijing 100191, Peoples R China
第一作者单位化学系
通讯作者单位化学系
第一作者的第一单位化学系
推荐引用方式
GB/T 7714
Yang, Yun,Sun, Suhong,He, Shunji,et al. Fully integrated on-line strategy for highly sensitive proteome profiling of 10-500 mammalian cells[J]. ANALYST,2022,148(1):120-127.
APA
Yang, Yun.,Sun, Suhong.,He, Shunji.,Liu, Chengmin.,Fu, Changying.,...&Tian, Ruijun.(2022).Fully integrated on-line strategy for highly sensitive proteome profiling of 10-500 mammalian cells.ANALYST,148(1),120-127.
MLA
Yang, Yun,et al."Fully integrated on-line strategy for highly sensitive proteome profiling of 10-500 mammalian cells".ANALYST 148.1(2022):120-127.
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