| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 15689 | Current Opinion in Biotechnology | 2013 | 9 Pages |
Clonal microbial cells do not behave in an identical manner and form subpopulations during cultivation. Besides varying micro-environmental conditions, cell inherent features like cell cycle dependent localization and concentration of regulatory proteins as well as epigenetic properties are well accepted mechanisms creating cell heterogeneity. Another suspected reason is molecular noise on the transcriptional and translational level. A promising tool to unravel reasons for cell heterogeneity is the combination of cell sorting and subpopulation proteomics. This review summarizes recent developments in prokaryotic single-cell analytics and provides a workflow for selection of single cells, low cell number mass spectrometry, and proteomics evaluation. This approach is useful for understanding the dependency of individual cell decisions on inherent protein profiles.
Graphical abstractFigure optionsDownload full-size imageDownload high-quality image (177 K)Download as PowerPoint slideHighlights► The emerging field of single-cell protein analytics is reviewed. ► Antibody-based, fluorescence-based and mass spectrometry-based approaches are discussed. ► We present a workflow for the combination of flow cytometry and mass spectrometry. ► This allows monitoring of population heterogeneity on the proteomic level.
