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

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ANALYST
卷 144, 期 3, 页码 794-807

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c8an01574k

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资金

  1. National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases [U19AI106772]
  2. National Cancer Institute grant [R03 CA222443]
  3. National Institute of Environmental Health Sciences [U2C ES030170]
  4. National Center for Advancing Translational Sciences [U01 TR001395]
  5. National Aeronautics and Space Administration, Exobiology Program
  6. NIH National Cancer Institute [R33 CA225248]
  7. NIH National Institute of Biomedical Imaging and Bioengineering [R21 EB020976]
  8. NIH National Heart, Lung, and Blood Institute [U01 HL122703]
  9. National Institute of Diabetes and Digestive and Kidney Diseases [UC4DK108101]
  10. Pacific Northwest National Laboratory (PNNL) Laboratory Directed Research and Development Program via the Microbiomes in Transition Initiative
  11. U.S. Department of Energy (DOE) Office of Biological and Environmental Research
  12. DOE [DE-AC05-76RLO 1830]

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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.

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