2019
DOI: 10.1021/acs.analchem.9b01578
|View full text |Cite
|
Sign up to set email alerts
|

Ultrasensitive Single Cell Metabolomics by Capillary Electrophoresis–Mass Spectrometry with a Thin-Walled Tapered Emitter and Large-Volume Dual Sample Preconcentration

Abstract: Single cell metabolome analysis is essential for studying microscale life phenomena such as neuronal networks and tumor microenvironments. Capillary electrophoresis−mass spectrometry (CE-MS) is one of the most sensitive technologies; however, its sensitivity is still not enough for single cell analysis on general human cells such as HeLa. To address these issues, we first developed an efficient ionization emitter, named as a "nanoCESI" emitter, that had a thin-walled (∼10 μm) and tapered (5−10 μm) end. The thi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
49
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
5
3

Relationship

1
7

Authors

Journals

citations
Cited by 70 publications
(49 citation statements)
references
References 46 publications
0
49
0
Order By: Relevance
“…Another aspect that can contribute to single cell metabolomics studies is by optimizing CE‐MS interfacing techniques to achieve more efficient ionization, which in combination with preconcentration techniques will greatly improve the capability of CE‐MS in handling single cells. To enable adequate sensitivity in metabolic profiling of single human cells, Kawai et al [29] incorporated a “nanocapillary electrophoresis with sheathless interface (CESI)” emitter with a large‐volume dual preconcentration technique. The fabrication of a “nanoCESI” emitter utilized fused‐silica capillary (internal diameter/outer diameter [ID/OD], 50 µm/360 µm), with the polyimide at one end etched away in hydrofluoric acid (HF) till the wall thickness reduced to 20–30 µm.…”
Section: Technological Developmentsmentioning
confidence: 99%
“…Another aspect that can contribute to single cell metabolomics studies is by optimizing CE‐MS interfacing techniques to achieve more efficient ionization, which in combination with preconcentration techniques will greatly improve the capability of CE‐MS in handling single cells. To enable adequate sensitivity in metabolic profiling of single human cells, Kawai et al [29] incorporated a “nanocapillary electrophoresis with sheathless interface (CESI)” emitter with a large‐volume dual preconcentration technique. The fabrication of a “nanoCESI” emitter utilized fused‐silica capillary (internal diameter/outer diameter [ID/OD], 50 µm/360 µm), with the polyimide at one end etched away in hydrofluoric acid (HF) till the wall thickness reduced to 20–30 µm.…”
Section: Technological Developmentsmentioning
confidence: 99%
“…For metabolomic analysis, this remains challenging because of the low abundance of most metabolites in each cell and the difficulty of maintaining biochemical integrity and minimizing metabolite diffusion during cell isolation or in situ analysis [55]. For example, a metabolite present at 1 µM in a cell of 1 pL volume is only one attomole of material, which while achievable [167] is challenging to quantify even by the best mass spectrometers under ideal conditions, and is well beyond the capabilities of NMR [168] even with hyperpolarization [169]. To the best of our knowledge, single cell tracer studies have not been reported, presumably due to detectability issue.…”
Section: D Spheroids and Organoidsmentioning
confidence: 99%
“…CZE is a highly efficient microscale separation technique and as compounds are separated on the basis of their charge‐to‐size ratio, CZE is especially suited for the profiling of polar and charged compounds under biocompatible conditions . Moreover, CZE–MS is well‐suited for the sensitive analysis of compounds in material‐ or volume‐limited samples as only nanoliter injection volumes are required from just a few microliters of sample or less in the injection vial . A number of recent studies have clearly shown the utility of CZE–MS for metabolic profiling of large sample sets.…”
Section: Introductionmentioning
confidence: 99%