Metabolic Noise and Distinct Subpopulations Observed by Single Cell LAESI Mass Spectrometry of Plant Cells in situ
Phenotypic variations and stochastic expression of transcripts, proteins, and metabolites in biological tissues lead to cellular heterogeneity. As a result, distinct cellular subpopulations emerge. They are characterized by different metabolite expression levels and by associated metabolic noise dis...
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Published in | Frontiers in plant science Vol. 9; p. 1646 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Research Foundation
15.11.2018
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
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Summary: | Phenotypic variations and stochastic expression of transcripts, proteins, and metabolites in biological tissues lead to cellular heterogeneity. As a result, distinct cellular subpopulations emerge. They are characterized by different metabolite expression levels and by associated metabolic noise distributions. To capture these biological variations unperturbed, highly sensitive
analytical techniques are needed that can sample tissue embedded single cells with minimum sample preparation. Optical fiber-based laser ablation electrospray ionization mass spectrometry (f-LAESI-MS) is a promising tool for metabolic profiling of single cells under ambient conditions. Integration of this MS-based platform with fluorescence and brightfield microscopy provides the ability to target single cells of specific type and allows for the selection of rare cells, e.g., excretory idioblasts. Analysis of individual
leaf blade cells (
= 103) by f-LAESI-MS revealed significant differences between the prespecified subpopulations of epidermal cells (
= 97) and excretory idioblasts (
= 6) that otherwise would have been masked by the population average. Primary metabolites, e.g., malate, aspartate, and ascorbate, as well as several glucosides were detected in higher abundance in the epidermal cells. The idioblasts contained lipids, e.g., PG(16:0/18:2), and triterpene saponins, e.g., medicoside I and azukisaponin I, and their isomers. Metabolic noise for the epidermal cells were compared to results for soybean (
) root nodule cells (
= 60) infected by rhizobia (
). Whereas some primary metabolites showed lower noise in the latter, both cell types exhibited higher noise for secondary metabolites.
grouping of epidermal and root nodule cells, based on the abundance distributions for certain metabolites (e.g., malate), enabled the discovery of cellular subpopulations characterized by different mean abundance values, and the magnitudes of the corresponding metabolic noise. Comparison of prespecified populations from epidermal cells of the closely related
(
= 20) and
(
= 20) revealed significant differences, e.g., higher sugar content in the former and higher levels of ascorbate in the latter, and the presence of species-specific metabolites. These results demonstrate that the f-LAESI-MS single cell analysis platform has the potential to explore cellular heterogeneity and metabolic noise for hundreds of tissue-embedded cells. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 SC0013978; AC05-76RL01830 PNNL-SA-137441 USDOE Office of Science (SC), Biological and Environmental Research (BER) This article was submitted to Plant Metabolism and Chemodiversity, a section of the journal Frontiers in Plant Science Reviewed by: Young Jin Lee, Iowa State University, United States; Robert David Hall, Wageningen University & Research, Netherlands Edited by: Jens Rohloff, Norwegian University of Science and Technology, Norway |
ISSN: | 1664-462X 1664-462X |
DOI: | 10.3389/fpls.2018.01646 |