Evidence map›Paper›PMID 27207575›Full record

ArticleJournal of chromatography. A2016

A microchip electrophoresis-mass spectrometric platform with double cell lysis nano-electrodes for automated single cell analysis.

Xiangtang Li, Shulin Zhao, Hankun Hu, Yi-Ming Liu

Abstract read
In one paragraph

Article in Journal of chromatography. A, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Single cell metabolism: current and future trends.Metabolomics : Official journal of the Metabolomic Society · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Xiangtang LiDepartment of Chemistry and Biochemistry, Jackson State University, 1400 Lynch St., Jackson, MS, 39217, United States.
Shulin ZhaoCollege of Chemistry and Chemical Engineering, Guangxi Normal University, Guilin, 51004, China.
Hankun HuWuhan University Zhongnan Hospital, Wuhan 430071, China; Wuhan Yaogu Bio-tech, Wuhan 430075, China.
Yi-Ming LiuDepartment of Chemistry and Biochemistry, Jackson State University, 1400 Lynch St., Jackson, MS, 39217, United States; Wuhan Yaogu Bio-tech, Wuhan 430075, China. Electronic address: yiming.liu@jsums.edu.
Jackson State University · USGuangxi Normal University · CNWuhan University · CN

Funding

Microfluidic mass spectrometry based fast chemical characterization of exosomesSC1GM089557 · NIGMS · JACKSON STATE UNIVERSITY · PI LIU, YIMING · 2010 to 2018
$1.4M
NIGMS NIH HHS SC1 GM089557
6 · The paper itself

Abstract

Capillary electrophoresis-based single cell analysis has become an essential approach in researches at the cellular level. However, automation of single cell analysis has been a challenge due to the difficulty to control the number of cells injected and the irreproducibility associated with cell aggregation. Herein we report the development of a new microfluidic platform deploying the double nano-electrode cell lysis technique for automated analysis of single cells with mass spectrometric detection. The proposed microfluidic chip features integration of a cell-sized high voltage zone for quick single cell lysis, a microfluidic channel for electrophoretic separation, and a nanoelectrospray emitter for ionization in MS detection. Built upon this platform, a microchip electrophoresis-mass spectrometric method (MCE-MS) has been developed for automated single cell analysis. In the method, cell introduction, cell lysis, and MCE-MS separation are computer controlled and integrated as a cycle into consecutive assays. Analysis of large numbers of individual PC-12 neuronal cells (both intact and exposed to 25mM KCl) was carried out to determine intracellular levels of dopamine (DA) and glutamic acid (Glu). It was found that DA content in PC-12 cells was higher than Glu content, and both varied from cell to cell. The ratio of intracellular DA to Glu was 4.20±0.8 (n=150). Interestingly, the ratio drastically decreased to 0.38±0.20 (n=150) after the cells are exposed to 25mM KCl for 8min, suggesting the cells released DA promptly and heavily while they released Glu at a much slower pace in response to KCl-induced depolarization. These results indicate that the proposed MCE-MS analytical platform may have a great potential in researches at the cellular level.

Indexed as

AnimalsAutomationDopamineElectrodesElectrophoresis, MicrochipGlutamic AcidLab-On-A-Chip DevicesMass SpectrometryPC12 CellsPotassium ChlorideRatsSingle-Cell AnalysisDopamineGlutamic AcidPotassium ChlorideAutomationDopamineGlutamic acidMicrochip electrophoresis-mass spectrometryPC-12 cellsSingle cell analysis

Identifiers

PMID27207575
PMCPMC4887279
OpenAlexW2345954190

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.