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Volume 35 Issue 4
Jul.  2021
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Misevic Gradimir. Single-cell omics analyses with single molecular detection: challenges and perspectives[J]. The Journal of Biomedical Research, 2021, 35(4): 264-276. doi: 10.7555/JBR.35.20210026
Citation: Misevic Gradimir. Single-cell omics analyses with single molecular detection: challenges and perspectives[J]. The Journal of Biomedical Research, 2021, 35(4): 264-276. doi: 10.7555/JBR.35.20210026

Single-cell omics analyses with single molecular detection: challenges and perspectives

doi: 10.7555/JBR.35.20210026
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  • Corresponding author: Gradimir Misevic, Research and Development, Gimmune GmbH, Baarerstrasse 12, 6302 Zug, Switzerland. Tel/Fax: +41-76-411-6243/+41-76-411-6243, E-mail: gradimir@gimmune.com
  • Received: 2021-02-13
  • Accepted: 2021-03-16
  • Published: 2021-04-30
  • Issue Date: 2021-07-28
  • The ultimate goal of single-cell analyses is to obtain the biomolecular content for each cell in unicellular and multicellular organisms at different points of their life cycle under variable environmental conditions. These require an assessment of: a) the total number of cells, b) the total number of cell types, and c) the complete and quantitative single molecular detection and identification for all classes of biopolymers, and organic and inorganic compounds, in each individual cell. For proteins, glycans, lipids, and metabolites, whose sequences cannot be amplified by copying as in the case of nucleic acids, the detection limit by mass spectrometry is about 105 molecules. Therefore, proteomic, glycomic, lipidomic, and metabolomic analyses do not yet permit the assembly of the complete single-cell omes. The construction of novel nanoelectrophoretic arrays and nano in microarrays on a single 1-cm-diameter chip has shown proof of concept for a high throughput platform for parallel processing of thousands of individual cells. Combined with dynamic secondary ion mass spectrometry, with 3D scanning capability and lateral resolution of 50 nm, the sensitivity of single molecular quantification and identification for all classes of biomolecules could be reached. Further development and routine application of such technological and instrumentation solution would allow assembly of complete omes with a quantitative assessment of structural and functional cellular diversity at the molecular level.

     

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