Literature DB >> 29505244

Single-Cell Mass Spectrometry of Subpopulations Selected by Fluorescence Microscopy.

Linwen Zhang1, Christopher J Sevinsky2, Brian M Davis2, Akos Vertes1.   

Abstract

Specific subpopulations in a heterogeneous collection of cells, for example, cancer stem cells in a tumor, are often associated with biological or medical conditions. Fluorescence microscopy, based on biomarkers labeled with fluorescent probes, is a widely used technique for the visualization and selection of such cells. Phenotypic differences for these subpopulations at the molecular level can be identified by their untargeted analysis by single-cell mass spectrometry (MS). Here, we combine capillary microsampling MS with fluorescence microscopy for the analysis of metabolite and lipid levels in single cells to discern the heterogeneity of subpopulations corresponding to mitotic stages. The distributions of ATP, reduced glutathione (GSH), and UDP- N-acetylhexosamine (UDP-HexNAc) levels in mitosis reveal the presence of 2-3 underlying subpopulations. Cellular energy is found to be higher in metaphase compared to prometaphase and slightly declines in anaphase, telophase, and cytokinesis. The [GTP]/[GDP] ratio in cytokinesis is significantly higher than in prometaphase and anaphase. Pairwise correlations between metabolite levels show that some molecules within a group, including certain amino acids and nucleotide sugars, are strongly correlated throughout mitosis, but this is not related to their pathway distances. Correlations are observed between monophosphates (AMP and GMP), diphosphates (ADP and GDP), and triphosphates (ATP and GTP) of different nucleosides. In contrast, there is low correlation between diphosphates and triphosphates of the same nucleoside (ADP and ATP).

Entities:  

Year:  2018        PMID: 29505244     DOI: 10.1021/acs.analchem.7b05126

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  9 in total

1.  Analytical challenges of shotgun lipidomics at different resolution of measurements.

Authors:  Jianing Wang; Xianlin Han
Journal:  Trends Analyt Chem       Date:  2019-10-17       Impact factor: 12.296

Review 2.  Exploring the Fundamental Structures of Life: Non-Targeted, Chemical Analysis of Single Cells and Subcellular Structures.

Authors:  Elizabeth K Neumann; Thanh D Do; Troy J Comi; Jonathan V Sweedler
Journal:  Angew Chem Int Ed Engl       Date:  2019-04-11       Impact factor: 15.336

3.  Towards early monitoring of chemotherapy-induced drug resistance based on single cell metabolomics: Combining single-probe mass spectrometry with machine learning.

Authors:  Renmeng Liu; Mei Sun; Genwei Zhang; Yunpeng Lan; Zhibo Yang
Journal:  Anal Chim Acta       Date:  2019-09-25       Impact factor: 6.558

4.  Genetically Encoded Fluorescent Proteins Enable High-Throughput Assignment of Cell Cohorts Directly from MALDI-MS Images.

Authors:  Nicholas D Schmitt; Catherine M Rawlins; Elizabeth C Randall; Xianzhe Wang; Antonius Koller; Jared R Auclair; Jane-Marie Kowalski; Paul J Kowalski; Ed Luther; Alexander R Ivanov; Nathalie Y R Agar; Jeffrey N Agar
Journal:  Anal Chem       Date:  2019-03-06       Impact factor: 6.986

5.  Integrating a generalized data analysis workflow with the Single-probe mass spectrometry experiment for single cell metabolomics.

Authors:  Renmeng Liu; Genwei Zhang; Mei Sun; Xiaoliang Pan; Zhibo Yang
Journal:  Anal Chim Acta       Date:  2019-03-11       Impact factor: 6.558

6.  Analysis of Peptide Stereochemistry in Single Cells by Capillary Electrophoresis-Trapped Ion Mobility Spectrometry Mass Spectrometry.

Authors:  David H Mast; Hsiao-Wei Liao; Elena V Romanova; Jonathan V Sweedler
Journal:  Anal Chem       Date:  2021-04-07       Impact factor: 6.986

7.  Subcellular Peptide Localization in Single Identified Neurons by Capillary Microsampling Mass Spectrometry.

Authors:  Linwen Zhang; Nikkita Khattar; Ildiko Kemenes; Gyorgy Kemenes; Zita Zrinyi; Zsolt Pirger; Akos Vertes
Journal:  Sci Rep       Date:  2018-08-15       Impact factor: 4.379

Review 8.  The Development of Single-Cell Metabolism and Its Role in Studying Cancer Emergent Properties.

Authors:  Dingju Wei; Meng Xu; Zhihua Wang; Jingjing Tong
Journal:  Front Oncol       Date:  2022-01-10       Impact factor: 6.244

Review 9.  Single cell metabolomics using mass spectrometry: Techniques and data analysis.

Authors:  Renmeng Liu; Zhibo Yang
Journal:  Anal Chim Acta       Date:  2020-11-25       Impact factor: 6.558

  9 in total

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