4.8 Article

An Integrated Strategy for Mass Spectrometry-Based Multiomics Analysis of Single Cells

Journal

ANALYTICAL CHEMISTRY
Volume 93, Issue 42, Pages 14059-14067

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.analchem.0c05209

Keywords

-

Funding

  1. National Natural Science Foundation of China [32088101, 21904008, 22074158]
  2. National Key R&D Program of China [2017YFA0505002]
  3. National Key Laboratory of Proteomics Grant [SKLP-K201706, 2021-NCPSB-003]

Ask authors/readers for more resources

This study successfully conducted comprehensive analysis of single-cell metabolome and proteome using a microwell chip and liquid chromatography technology, providing a more comprehensive view for understanding cellular heterogeneity.
Single-cell-based genomics and transcriptomics analysis have revealed substantial cellular heterogeneity among seemingly identical cells. Knowledge of the cellular heterogeneity at multiomics levels is vital for a better understanding of tumor metastasis and drug resistance, stem cell differentiation, and embryonic development. However, unlike genomics and transcriptomics studies, single-cell characterization of metabolites, proteins, and post-translational modifications at the omics level remains challenging due to the lack of amplification methods and the wide diversity of these biomolecules. Therefore, new tools that are capable of investigating these unamplifiable omes from the same single cells are in high demand. In this work, a microwell chip was prepared and the internal surface was modified for hydrophilic interaction liquid chromatography-based tandem extraction of metabolites and proteins and subsequent protein digestion. Next, direct electrospray ionization mass spectrometry was adopted for single-cell metabolome identification, and a data-independent acquisition-mass spectrometry approach was established for simultaneous proteome profiling and phosphoproteome analysis without phosphopeptide enrichment. This integrated strategy resulted in 132 putatively annotated compounds, more than 1200 proteins, and the first large-scale phosphorylation data set from single-cell analysis. Application of this strategy in chemical perturbation studies provides a multiomics view of cellular changes, demonstrating its capability for more comprehensive investigation of cellular heterogeneity.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available