New mass spectrometry technologies contributing towards comprehensive and high throughput omics analyses of single cells

被引:70
作者
Couvillion, Sneha P. [1 ]
Zhu, Ying [1 ]
Nagy, Gabe [1 ]
Adkins, Joshua N. [1 ]
Ansong, Charles [1 ]
Renslow, Ryan S. [1 ]
Piehowski, Paul D. [1 ]
Ibrahim, Yehia M. [1 ]
Kelly, Ryan T. [1 ,2 ]
Metz, Thomas O. [1 ]
机构
[1] Pacific Northwest Natl Lab, Earth & Biol Sci Directorate, Richland, WA 99352 USA
[2] Brigham Young Univ, Dept Chem & Biochem, Provo, UT 84602 USA
基金
美国国家航空航天局; 美国国家卫生研究院;
关键词
COLLISION CROSS-SECTION; ION MOBILITY SEPARATIONS; SUBAMBIENT PRESSURE IONIZATION; PATH-LENGTH STRUCTURES; LIQUID-CHROMATOGRAPHY; RETENTION TIME; ACCURATE MASS; NANOELECTROSPRAY IONIZATION; PROTEIN IDENTIFICATION; PROTEOMIC ANALYSIS;
D O I
10.1039/c8an01574k
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Mass-spectrometry based omics technologies - namely proteomics, metabolomics and lipidomics have enabled the molecular level systems biology investigation of organisms in unprecedented detail. There has been increasing interest for gaining a thorough, functional understanding of the biological consequences associated with cellular heterogeneity in a wide variety of research areas such as developmental biology, precision medicine, cancer research and microbiome science. Recent advances in mass spectrometry (MS) instrumentation and sample handling strategies are quickly making comprehensive omics analyses of single cells feasible, but key breakthroughs are still required to push through remaining bottlenecks. In this review, we discuss the challenges faced by single cell MS-based omics analyses and highlight recent technological advances that collectively can contribute to comprehensive and high throughput omics analyses in single cells. We provide a vision of the potential of integrating pioneering technologies such as Structures for Lossless Ion Manipulations (SLIM) for improved sensitivity and resolution, novel peptide identification tactics and standards free metabolomics approaches for future applications in single cell analysis.
引用
收藏
页码:794 / 807
页数:14
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